Genome edited cancer cell vaccines

Information

  • Patent Grant
  • 12331320
  • Patent Number
    12,331,320
  • Date Filed
    Wednesday, October 9, 2019
    6 years ago
  • Date Issued
    Tuesday, June 17, 2025
    4 months ago
Abstract
A cancer vaccine technology is provided which knocks out expression of cell surface immune checkpoint proteins, to facilitate their processing by immune cells, and optionally by knocking-in the expression of cytokines to boost immune response. Non-replicating tumor cells lacking cell surface CD47 are highly effective immunizing agents against subcutaneous mouse melanoma. Whole-cell vaccines inhibited tumor growth, and immunophenotyping showed a dramatic increase in activated effector cell subsets and M1-type macrophages aided by a significant reduction in the tumor-associated macrophage and myeloid derived suppressor cell compartments. A remarkable downregulation of cell surface CD47 was observed in the tumors that did escape after vaccination with genetically modified cells, suggesting the intricate involvement of CD47 in a prophylactic situation. An effective vaccination strategy to increase tumor-specific immune response in solid tumors is provided to improve the outcome of cancer immunotherapy.
Description
FIELD OF THE INVENTION

The present invention relates to the field of cancer vaccines and immunotherapy, and more particularly to cellular vaccines.


BACKGROUND OF THE INVENTION

Each reference cited herein is expressly incorporated herein by reference for all purposes.


Harnessing the body's immune system and “teaching” it to fight against cancerous outgrowth has been one of the most rewarding endeavors in cancer therapy (Vinay et al. 2015; Kruger et al. 2007). Cancer cells possess a plethora of immune evasion mechanisms in reaction to specific immune responses. They efficiently modulate expression of cell surface and secretory proteins in response to chemical stress, cytokines, or initial attacks by the immune system (Vinay et al. 2015; Zhang et al. 2016). Tumors evolve based on immune responses, and the specific interactions between them orchestrates the outcome of tumor escape or rejection (Dunn et al. 2004).


One of the most studied immune checkpoint mechanisms in cancer is the CD47-SIRP-α interaction (Zhang et al. 2016; Chao et al. 2012; Sick et al., 2012). CD47, a ubiquitous cell-surface antigen, is reported to act as a marker of self and by corollary, a “don't eat me” signal. It binds to the signal recognition protein alpha (SIRP-α), presents primarily on macrophages that form the first line of defense in the innate immune system, and renders the cell unrecognizable (Chao et al. 2012). This interaction curbs macrophage-mediated phagocytosis and hampers the downstream antigen presentation and tumor cell lysis mechanisms. Tumor cells have been shown to overexpress CD47 on their cell surface as a defense mechanism to blindside the host's immune defense systems (Yinuo et al. 2017; Zhao et al. 2016).


CD47 has been primarily targeted for developing immune checkpoint blockade therapies. For instance, the blocking of CD47-SIRP-α interaction using anti-CD47 antibodies, anti-SIRP-α antibodies Alvey et al. 2017; Weiskopf et al. 2013), or nanobodies (Zhang et al. 2016; Gul et al. 2014; Liu et al. 2015), has shown delayed tumor progression by engaging the myeloid arm of the immune system. These studies have been precedents for combination therapy with CD47 using monoclonal antibodies, engineered SIRP-α variants, and other fusion proteins (Weiskopf et al. 2013; Gul et al. 2014; Sockolosky et al. 2016; Tseng et al. 2013; Weiskopf et al. 2016). A multitude of monoclonal antibodies against CD47 have been developed as anti-tumor agents (Weiskopf et al. 2013; Gul et al. 2014; Sockolosky et al. 2016; Weiskopf et al. 2016). Depletion of CD47 expression on cancer cells using either siRNA (Yinuo et al. 2017; Zhao et al. 2016) or genetic editing (Sockolosky et al. 2016) has also been explored. The genetic ablation of CD47 from cancer cells has proven effective in slowing down tumor growth and enhancing phagocytosis by macrophages (Alvey et al. 2017; Weiskopf et al 2016). Other immune checkpoint molecules have also been studied. (Marcucci et al. 2017; en.wikipedia.org/wiki/Immune_checkpoint, expressly incorporated herein by reference in its entirety, including cited references).


Vaccination is a powerful tool for generating a tumor-specific response to by exposing tumors to the immune system (Ngo et al. 2016). Vaccine formulations can range from mRNA mutanomes (He et al. 2011, tumor-associated neoantigen peptide cocktails (Dranoff et al. 1993), yeast-based tumor-associated antigen production (Stanton et al. 2015), or tumor cell lysates containing immune system stimulants (Sahin et al. 2017; Ott et al. 2017). Whole-cell vaccines have been as widely researched as the monoclonal antibodies but have not been explored in such depth for specific immune target proteins (Sofia et al. 2011; Maeng et al. 2018); Kumai et al. 2017). Providing the immune system with non-replicating tumor cells circumvents the need to perform tumor-associated antigen profiling, protein purification, viral packaging, and a multitude of other preparation regimes (Maeng et al. 2018; de Gruijl et al. 2008). With respect to whole-cell vaccines, one of the most important things to consider is a method that will allow for efficient uptake of whole cells by the first responders—the infiltrating neutrophils and monocytes.


Vaccination with an appropriate immune-system stimulation regime, would be an alternative or additional method, in addition to surgery, chemotherapy, radio therapy, thermotherapy, etc., to treat cancer, because it takes advantage of the immune system to seek and destroy cancer cells. Whole tumor cells are an ideal source of tumor-associated antigens (TAAs) for vaccination development, because the whole cancer cells have a diverse panel of TAAs (either known or unknown) which elicits CD8+ and CD4+ T-cell responses (Chiang et al. 2010; de Gruijl et al. 2008). Vaccination with irradiated tumor cells has been studied in various animal models as early as the 1970s, and whole-tumor cell vaccines have shown great potentials in inducing immune responses and in improving patient survival (de Gruijl et al. 2008).


Immune cells are supposed to recognize TAAs and destroy cancer cells, because they constantly search and destroy foreign invaders. Cells that lack CD47 are frequently cleared out efficiently by the macrophages in the body. However, cancer cells frequently escape immune attack because they express CD47 on their surface (LaCasse et al. 2008). CD47 is present on the surface of both normal cells and all tested cancer cells; particularly, it is overexpressed on the cancer cells. Increased CD47 expression on cancer cells imply worse prognosis. In cancer cells, CD47 functions by initially binding to its receptor, SIRP-α (also known as CD172a and SHPS-1), which is expressed on the surface of macrophages. The binding of CD47 to SIRP-α inhibits phagocytosis of cancer cells by the macrophages. Therefore, CD47 acts as a “don't-eat-me” signal to enable cancer cells to escape immune-surveillance (See FIGS. 1A and 1B) (LaCasse et al. 2008; Peter et al. 2003).


Previous research has shown that both anti-CD47 antibody and anti-CD47 siRNA enable phagocytosis by macrophages and subsequently inhibit tumor growth (Wilson et al. 2009; Wang et al. 2008; Penazola et al. 2006). Although both methods show efficacy, both methods have their weaknesses. Because of ubiquitous expression of CD47, particularly on hematopoietic cells, anti-CD47 antibody and anti-CD47 siRNA could raise safety concerns. Although anti-CD47 antibodies show relative selectivity on cancer cells because of calreticulin (a pro-phagocytic signal that is highly expressed on the surface of several human cancers, but is minimally expressed on most normal cells) (Elmore et al. 2007), anti-CD47 antibodies can still cause adverse side effects and their large size can hinder their tumor penetration. According Krysko et al. 2008, CD47-deficient erythrocytes infused into wild-type mice were found to be cleared within 24 hours. In contrast, normal red blood cells survive for 60-80 days in mice.


Radiation induces DNA damage, which can lead to cellular reproductive incompetence, senescence, and especially at higher doses, cell death. While death by an apoptosis pathway may occur in portions of a highly irradiated cell population, it is not the exclusive mode of cell death, and portions of the cell population may undergo death mediated by a necrosis pathway. Sublethal irradiation at sufficient dose can result in permanent cell cycle arrest in the G2 phase and by stress-induced premature senescence. (Marcucci et al. 2017; Zanke et al. 1996; Merritt et al. 1997; Zampetti-Bosseler et al. 1981; Herzog et al. 1998; Suzuki et al. 2001; Wyllie et al. 1987; Thyss et al. 2005; Danial et al. 2004; Waldman et al. 1997; Schanne, et al. 1979; Reed et6 al. 1994; Galluzzi et al. 1997; Strozyk et al. 2013; Voisine et al. 1991; Wlaschek et al. 2003; Jones et al. 2005; Muthna et al. 2010).


Apoptosis (Type I programmed cell death) is a form of programmed cell death that occurs in multicellular organisms. Biochemical events lead to characteristic cell changes (morphology) and death. These changes include blebbing, cell shrinkage, nuclear fragmentation, chromatin condensation, chromosomal DNA fragmentation, and global mRNA decay. (en.wikipedia.org/wiki/Apoptosis; Elmore 2007) Apoptotic cell death is a genetically programmed mechanism(s) that allows the cell to commit suicide. The extrinsic and intrinsic pathways represent the two major well-studied apoptotic processes. The extrinsic pathway is mediated by a sub-group of Tumor Necrosis Factor receptors (TNFR) superfamily that includes TNFR, Fas and TRAIL. Activation of these so-called death receptors leads to the recruitment and activation of initiator caspases such as caspases 8 and 10. The process involves the formation and activation of complexes such as the death inducing signaling complex (DISC). This leads to the activation of an effector caspase, typically caspase 3. The active caspase 3 is responsible for the cleavage of a number of so-called death substrates that lead to the well-known characteristic hallmarks of an apoptotic cell including DNA fragmentation, nuclear fragmentation, membrane blebbing and other morphological and biochemical changes. More recent evidence suggests even greater complexity and diversity in the extrinsic pathways that also involves the cross-activation of other apoptotic pathways such as the intrinsic apoptotic as well as necrotic sub-pathways. (Pertt et al. 2011; Duprez et al. 2009)


Other pathways to cell death include necrotic cell death, autophagic cell death, and pyroptosis.


Necrotic cell death. For a long time, necrosis has been considered an accidental and uncontrolled form of cell death lacking underlying signaling events. This might be true for cell death resulting from severe physical damage, such as hyperthermia or detergent-induced cytolysis. However, accumulating evidence supports the existence of caspase-independent cell death pathways that can function even in a strictly regulated developmental context, such as interdigital cell death (Chautan et al. 1999). Necrotic cell death is characterized by cytoplasmic and organelle swelling, followed by the loss of cell membrane integrity and release of the cellular contents into the surrounding extracellular space.


TNFR1 stimulation leads to the activation of RIP1, which induces a pro-survival pathway by activating transcription factors, e.g., NF-kB and AP-1. RIP1 interacts with RIP3, and both are crucial initiators of death receptor-induced necrotic signaling. A wide range of necrotic mediators are activated RIP1 kinase activity, such as ROS, calcium, calpains, cathepsins, phospholipases, NO and ceramide. The same mediators can be activated by DNA damage or by triggering of TLR-3, TLR-4 and Nalp-3.


In most cell lines, death receptor ligands activate apoptosis rather than necrosis as the default cell death pathway. However, if caspase activation in this pathway is hampered, necrotic cell death might ensue instead, acting as a kind of back-up cell death pathway. zVAD-fmk is frequently used as a potent inhibitor of caspases, but off-target effects can also contribute to caspase-independent cell death. For example, zVAD-fmk binds and blocks the adenine nucleotide translocator (ANT), inhibits other proteases such as cathepsins, and generates the highly toxic fluoroacetate, due to metabolic conversion of the fluoromethylketone group (Vandenabeele et al. 2006; Van Noorden 2001). FADD remains a crucial adaptor protein in Fas and TRAIL-R-induced necrosis, but the importance of FADD in TNF-induced necrosis is controversial (Lin et al. 2004; Holler et al. 2000). It was demonstrated in the TRADD knockout mouse, that TRADD is essential for TNF-induced necrosis in MEF cells (Pobezinskaya et al. 2008). RIP1 is a crucial initiator of death receptor-mediated necrosis (Festjens et al. 2007) and the term necroptosis was introduced to designate programmed necrosis that depends on RIP1 (Degterev et al. 2005). The kinase activity of RIP1 is dispensable for the activation of NF-kB and MAPKs, but is required for necroptosis (Holler et al. 2000; Degterev et al. 2005; Chan et al. 2003). Necrostatin-1 (Nec-1) was identified as a small molecule inhibitor of necroptosis (Degterev et al. 2005), and more recently, the RIP1 kinase activity was found to be the target of Nec-1 (Degterev et al. 2008). Furthermore, recent studies identified RIP3 as a crucial upstream activating kinase that regulates RIP1-dependent necroptosis (Zhang et al. 2009; Cho et al. 2009; He et al. 2009). TNF treatment induced the formation of a RIP1-RIP3 pro-necrotic complex and the kinase activity of both RIP1 and RIP3 was crucial for stable complex formation and subsequent induction of necrosis. During death receptor-induced apoptosis, RIP1 and RIP3 are cleaved by caspase-8, which suppresses their anti-apoptotic and/or pro-necrotic properties (Lin et al. 1999; Feng et al. 2007).


Besides death receptor-mediated necrosis, triggering of pathogen recognition receptors (PRRs) can also lead to necrotic cell death. Receptors of this family include the transmembrane toll-like receptors (TLRs), the cytosolic NOD-like receptors (NLRs) and the RIG-I-like receptors (RLRs). They all recognize pathogen-associated molecular patterns (PAMPs) found in bacteria or viruses, such as LPS, flagellin and double-stranded RNA (dsRNA), and stimulation of these receptors leads to the activation of innate immunity and/or cell death. In Jurkat cells and L929 cells, the recognition of synthetic dsRNA by TLR3 induces necrotic cell death, which was suggested to be RIP1-dependent (Kalai et al. 2002). TLR4 is expressed on macrophages and monocytes and is critical for the recognition of LPS from Gram-negative bacteria. Impeding caspase-8 activation switches TLR4-induced cell death from apoptosis to RIP1-dependent necrosis (Ma et al. 2005). Pathogen-induced activation of NLRs results most commonly in caspase-1-dependent cell death or pyroptosis (see below). However, a recent report showed that the NLR member Nalp-3 mediates necrotic cell death of macrophages infected with Shigella flexneri at high multiplicity of infection (Willingham et al. 2007). RLR-induced activation of NF-kB and production of type I interferons are both dependent on FADD, RIP1 and TRADD (Balachandran to al. 2004; Michallet et al. 2008). Whether these proteins are also involved in RLR-induced cell death is unknown.


Extensive DNA damage causes hyperactivation of poly-(ADP-ribose) polymerase-1 (PARP-1) and leads to necrotic cell death (Jagtap et al. 2005). When DNA damage is moderate, PARP-1 participates in DNA repair processes. However, excessive PARP-1 activation causes depletion of NAD+ by catalyzing the hydrolysis of NAD+ into nicotinamide and poly(ADP-ribose) (PAR), leading to ATP depletion, irreversible cellular energy failure, and necrotic cell death. PARP-1-mediated cell death requires the activation of RIP1 and TRAF2 (Xu et al. 2006). Many mediators are involved in the execution phase of necrotic cell death, including reactive oxygen species (ROS), calcium (Ca2+), calpains, cathepsins, phospholipases, and ceramide (Vanlangenakker et AL. 2008). Oxidative stress leads to damage of cellular macromolecules, including DNA, proteins, and lipids. As discussed earlier, excessive DNA damage results in hyperactivation of PARP-1 and necrotic cell death. Modification of proteins by ROS leads to loss of the normal functions of proteins and enhances their susceptibility to proteolytic degradation. Other targets of ROS are the polyunsaturated fatty acid residues in the membrane phospholipids, which are extremely sensitive to oxidation. In mitochondria, lipid peroxidation affects vital mitochondrial functions. In addition, it destabilizes the plasma membrane and intracellular membranes of endoplasmic reticulum and lysosomes, leading to intracellular leakage of Ca2+ and lysosomal proteases, respectively. Among the different ROS, hydrogen peroxide (H2O2) plays a particularly important role because it diffuses freely across cellular membranes and can interact with iron in the Fenton reaction (Vanlangenakker et al. 2008). This reaction is favored in the lysosomes, because they are rich in free iron and do not contain H2O2-detoxifying enzymes. The resulting highly reactive hydroxyl radicals are among the most potent inducers of lipid peroxidation.


Ca2+ overload of mitochondria causes mitochondrial permeability transition (MPT) by the opening of large nonselective pores (the so called mitochondrial permeability transition pores, MPTPs) connecting the cytosol with the mitochondrial matrix (Kroemer et al. 2007). MPT is accompanied by mitochondrial inner membrane depolarization, uncoupling of oxidative phosphorylation, matrix swelling, and outer mitochondrial membrane rupture (Kroemer et al. 2007). If most mitochondria of the cell are disrupted, and glycolytic sources of ATP are inadequate, the cell becomes profoundly ATP-depleted. Cyclophilin D (CypD) might have an important role in MPT, as inhibition of CypD renders cells resistant to MPT, and CypD-deficient mice are more resistant to ischemic injury than wild type mice (Halestrap et al. 1997; Nakagawa et al. 2005). Besides affecting mitochondrial respiration, Ca2+ overload can activate phospholipases, proteases and neuronal nitric oxide synthase (nNOS), all of which contribute to the execution phase of necrotic cell death. For example, calpains are activated by elevated Ca2+ levels, which then cleave the Na+/Ca2+ antiporter in the plasma membrane, resulting in a sustained Ca2+ overload. Strong activation of calpains may also contribute to the release of cathepsins in the cytosol by causing lysosomal membrane permeabilization, as proposed in the “calpaine-cathepsin” hypothesis by Yamashima and colleagues (Yamashima et al. 1998).


Necrotic cell death participates in activation-induced cell death (AICD) of T lymphocytes, which is an important mechanism for reducing T cell numbers after an immune response (Holler et al. 2000). Necrotic cell death is always observed together with apoptosis or in the presence of caspase inhibitors, suggesting that it functions as a back-up mechanism and is never the sole cell death pathway. Necrotic cell death is often associated with pathological conditions. Necrosis has been observed during ischemia/reperfusion (I/R), which can lead to injury of organs, including heart, brain, liver, kidney, and intestine (Neumar 2000). Necrotic cell death also contributes to excitotoxicity, which may be involved in stroke, traumatic brain injury, and neurodegenerative disorders (Ankarcrona et al. 1995). More specifically, using Nec-1, it was shown that RIP1-dependent necrotic cell death or necroptosis contributes to a wide range of pathological cell death events, such as ischemic brain injury (Degterev et al. 2005) and myocardial infarction (Lim et al. 2007). Furthermore, RIP3−/− mice failed to initiate vaccinia virus-induced tissue necrosis and inflammation, resulting in much more viral replication and mortality (Cho et al. 2009). Several other reports also illustrate the occurrence of necrotic cell death during infection by other pathogens, such as Shigella, HIV-1, West Nile virus, and Coxsackievirus B (Vanlangenakker et al. 2008). In addition, patients carrying a disease-associated mutation in Nalp-3 show excessive necrotic-like cell death with features similar to the Shigella flexneri-induced Nalp-3-dependent necrosis (Willingham et al. 2007).


In contrast to apoptosis, the recognition and uptake of necrotic cells by macropinocytosis is slower, less efficient and occurs only after the loss of plasma membrane integrity (Krysko et al. 2003). As a result, necrotic cells initiate a proinflammatory response by the passive release of DAMPs (danger/damage-associated molecular patterns) (Fadok et al. 2001). In addition, necrotic cells actively secrete inflammatory cytokines due to the activation of NF-kB and MAPKs (Vanden Berghe et al. 2006).


Autophagy is an evolutionarily conserved catabolic pathway that allows eukaryotes to degrade and recycle cellular components. Proteins and organelles are sequestered in specialized double-membrane vesicles, designated autophagosomes, which are typical of autophagic cells. Basal levels of autophagy ensure the maintenance of intracellular homeostasis, but in addition, many studies have revealed its diverse functions in important cellular processes, such as cellular stress, differentiation, development, longevity and immune defense. Although a pro-survival role for autophagy is well-established, frequently debated is whether or not autophagy has a causative role in cell death. The presence of autophagic vacuoles in dying cells has led to the introduction of autophagic cell death, although autophagy often accompanies rather than causes cell death. It is plausible though that massive autophagic activity could result in cellular demise. In addition, several interconnections exist between autophagy and apoptotic or necrotic cell death (Maiuri et al. 2007).


Pyroptosis is form of regulated cell death with morphological and biochemical properties distinct from necrosis and apoptosis (Labbe et al. 2008). Pyroptosis has been described in monocytes, macrophages and dendritic cells infected with a range of microbial pathogens, such as Salmonella, Francisella and Legionella, and is uniquely dependent on caspase-1 (Bergsbaken et al. 2009). In addition, non-infectious stimuli, such as DAMPs, can induce pyroptosis in non-macrophage cells.


Caspase-1, previously known as Interleukin-1 (IL-1b) Converting Enzyme (ICE), was the first mammalian caspase to be identified. As a member of the inflammatory caspases, it is not involved in apoptotic cell death (Li et al. 1995), and the apoptotic caspases usually do not contribute to pyroptosis (Lamkanfi et al. 2008). Caspase-1 is present in the cytosol as an inactive zymogen. In analogy to activation of caspase-9 in the apoptosome, caspase-1 is activated in a complex called the inflammasome. This molecular platform includes NLR family members that recruit caspase-1 through adaptor molecules, such as ASC/Pycard and is formed through homotypic interactions between these inflammasome components. Four inflammasomes have been characterized and named after their NLR (Nalp-1, Nalp-3 and Ipaf) or HIN-200 protein (AIM2) (Bergsbaken et al. 2009; Schroder et al. 2009). Assembly of the inflammasome occurs when NLRs are triggered by intracellular bacterial, viral or host danger signals. For example, Nalp-1 recognizes cytosolic delivery of Bacillus anthracis lethal toxin, Ipaf recognizes cytosolic flagellin, and Nalp-3 responds to multiple DAMPs and PAMPs (Bergsbaken et al. 2009) (FIG. 4). Most NLRs consist of three distinct domains: an N-terminal CARD domain or pyrin effector domain (PYD), a central nucleotide binding and oligomerization domain (NACHT), and several C-terminal leucine-rich repeats (LRRs). In addition, Nalp-1 has a C-terminal extension that harbors a CARD domain. In contrast to human Nalp-1, the mouse orthologue Nalp-1b does not contain an N-terminal PYD domain. Upon stimulation, NLRs undergo oligomerization through homotypic NACHT domain interactions. Subsequently, the NLRs associate with the adaptor protein ASC through homotypic PYD interactions. In addition, Nalp-3 associates with the adaptor Cardinal in its inflammasome. These adaptor molecules then recruit caspase-1 through CARDe CARD interactions, resulting in its oligomerization and proximity-induced activation. Recently, the AIM2 inflammasome was identified (Schroder et al. 2009). Through its HIN domain, AIM2 can directly bind to dsDNA, resulting in the activation of caspase-1 and maturation of pro-IL-1b. The source of the cytoplasmic dsDNA appears unimportant for AIM2 activation because viral, bacterial, mammalian and synthetic dsDNA could all activate caspase-1 (Schroder et al. 2009). Double stranded DNA-dependent cell death depends on AIM2, ASC and caspase-1 and shows features of pyroptosis (Fernandes et al. 2009).


Active caspase-1 is the central executor of pyroptotic cell death and acts mainly by inducing the formation of discretely sized ion-permeable pores in the plasma membrane (Fink et al. 20096). The resulting osmotic pressure leads to water influx, cell swelling and ultimately cell lysis. Furthermore, caspase-1 activation initiates an inflammatory response by the cleavage of the proinflammatory cytokines pro-IL-1b and pro-IL-18, which are released by the cell upon their activation (Eder 2009). However, this inflammatory response is not required for the execution of cell death (Sarkar et al. 2006). Although caspase-1 activation is inherently associated with an inflammatory response, it is still unclear whether it is inevitably linked to pyroptotic cell death. Cells dying by pyroptosis have biochemical and morphological features of both apoptotic and necrotic cells (Bergsbaken et al, 2009). Pyroptotic cells lose their mitochondrial membrane potential and plasma membrane integrity and release their cytoplasmic contents into the extracellular milieu. As in apoptosis, pyroptotic cells undergo DNA fragmentation and nuclear condensation. However, this caspase-1-dependent nuclease-mediated cleavage of DNA does not exhibit the oligonucleosomal fragmentation pattern characteristic of apoptosis (Bennan et al. 2000). In addition, the DNA damage and concomitant PARP-1 activation associated with pyroptotic cell death are not required for cell lysis to occur (Fink et al. 2006). Because of its dependence on caspase-1 activity, pyroptosis is associated with the initiation of a proinflammatory response, which is further amplified by the release of the cytoplasmic content upon cell lysis. Since NLR-mediated activation of caspase-1 affects several cellular pathways, it is difficult to distinguish the precise role of caspase-1 in the cell death process itself.


There are a number of genome editing systems available. These include ZFNs (Zinc Finger Nucleases); TALENs (Transcription Activator Like Effector Nucleases); and CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats). In addition, recombinant Adeno-Associated Virus (MV) and transposons can also be employed. Further, RNAi may also be employed to reduce gene function. These techniques are known in the art.


See, en.wikipedia.org/wiki/Genome_editing, Tebas et al. 2014; Lombardo et al. 2007; Li et al. 2012; Liang et al. 2015; Gaj et al. 2013; Ain et al. 2015; Song et al. 2016; Wei et al. 2013; Shen et al. 2013).


Acronyms:















CD—Cluster of Differentiation
MMC—Mitomycin C


SIRP—Signal regulatory protein
NK—Natural Killer


TME—Tumor microenvironment
DC—Dendritic cell


TDLN—Tumor-draining lymph
CTL—Cytotoxic T cell


node
TAM—Tumor-associated macrophage


APC—Antigen presenting cell
MDSC—Myeloid-derived suppressor


PBS—Phosphate buffered saline
cell


PCR—polymerase chain reaction
PMN—Polymorphonuclear


CFSE—Carboxyfluorescein
BMDM—Bone marrow-derived


GM-CSF—Granulocyte
macrophage


macrophage colony stimulating
MHC—Major histocompatibility


factor
complex


TM—Tumor-associated antigen
STING—Stimulator of interferon



genes









SUMMARY OF THE INVENTION

The present technology provides a system and method for the treatment of tumors with replicatively inactivated tumor cells as vaccines by silencing their immune checkpoint proteins such as CD47, PD-L1, etc. through genetic modification such as CRISP/cas 9 genome editing. The modified tumor cells become immune checkpoint deficient; thereby eliciting a strong immunogenicity after being introduced into the body. CD47-depleted tumor cells inactivated appropriately would be processed effectively by immune cells such as circulating macrophages and cause the body to trigger an anti-tumor immune response. Related work is discussed in: Gao et al. 2016; Koh et al. 2017; Jayaraman, 2017.


Types of tumors that might be addressed by the present technology include: solid immunogenic (or “hot”) tumors including melanoma, bladder cancer, head and neck cancers, kidney cancer, liver cancer, and non-small cell lung cancer; and non-immunogenic tumors (or “cold”) including ovarian, prostate, pancreatic cancer, etc.


Among other differences from prior work, it was not previously appreciated that in order to provoke a suitable immune response for an efficacious vaccine, the cells should not be treated in such a manner that causes apoptosis, e.g., Mitomycin C. See FIG. 17. On the other hand, inactivation is generally required for safe administration to humans, since the cells have pathogenic potential. This finding is consistent with the hypothesis that a live cell vaccine is preferred over cellular components.


One feature of the present technology is that it does not rely on identification and selective processing of cancer-associated antigens, and rather employs a patient's own neoplasia (or in some cases, a prototype neoplasia) to define the antigenic determinants. Likewise, it does not require qualification of proposed vaccine antigens with respect to cross reactivity, and rather relies on the normal immune mechanisms of the host organism to avoid unchecked autoimmune responses. Thus, present cancer vaccine technology does not rely on the prerequisite of comprehensive knowledge of all cancer associated neo-antigens. It utilizes information from syngeneic tumor cells themselves, making the system precise and personalized.


While melanoma was used as a model system to prove the concept, the technology can be used, in principle, to treat any cancer, in particular metastatic cancers.


Another feature is that, while the cells are being processed, additional genetic engineering may be performed, for example causing the cells to express cytokines that boost immune responses, to display additional antigens that enhance the immune response, and/or to suppress multiple immune checkpoint blockades such as CD47 and PD-L1 simultaneously to facilitate the processing of vaccines by multiple types of immune cells, leading to the enhancement of immune response.


The immunogenicity of the developed cancer vaccines can be further enhanced by co-expressing cytokines, such as GM-CSF, that stimulate maturation and activation of immune cells including macrophages, T cells, natural killer cells, dendritic cells, etc. The genes encoding cytokines such as GM-CSF are integrated into the genome of tumor cells through genomic knocking in. The immune checkpoint deficient tumor cells such as CD47−/− tumor cells are maintained in an in vitro culture, and then used as a prophylactic measure to prevent relapse and metastasis of the original cancer, or as a treatment for an active localized tumor.


The current embodiment has been tested on the syngeneic mouse melanoma model. In this embodiment, irradiated and non-replicating (but non-apoptotic) melanoma cells lacking surface expression of CD47 have been formulated as vaccines to prevent subcutaneous melanoma growth upon a tumor challenge.


Traditional vaccines which employ normal tumor cells could escape the antigen-presenting cells, such as macrophages, because of their normally present surface CD47, and thus the TAAs could not be efficiently presented to immune cells. Removal of CD47 could create an opportunity for immune cells such as the macrophages to recognize and present the TAAs from the cancer cell vaccine and create strong immune responses to kill the cancer cells.


Because introduction of live cancer cells into the human body could cause safety concerns, the modified cancer cells are preferably inactivated and rendered non-replicating, for example, exposed to gamma irradiation in a sufficient amount to ensure that the cells are replication-incompetent. Additionally, because the absence of CD47 on the vaccine cell surface, the cancer cells could be rapidly engulfed by macrophages, eliciting an immune response in the body. Other treatments may be available to modify the cells without causing apoptosis or immediate cell death.


It has been found that apoptosis, or treatments of the cells which lead to apoptosis, are suboptimal, and that metabolic processes within the cancer cells, and/or an intact cellular membrane appears to be important for the correct immune response.


CD47 is a potent target for creating genome edited whole-cell cancer vaccines. Mice vaccinated with irradiated CD47−/− 3BD9 cells were successfully immunized against a tumor challenge. 40% of mice are tumor free for 70-days post tumor challenge, and 33% of mice are tumor free for 90-days post tumor challenge.


Immunity is due to significant increase in mature antigen presenting cells (macrophages and dendritic cells), and activated effector cells (CD8+ and CD4+ T cells). Vaccination with CD47−/− 3BD9 cells regulates and maintains homogenous levels of tumor infiltrating lymphocytes throughout the tumor growth phase.


Therapies to increase macrophage specific cytokines (GM-CSF), reduce regulatory T cells, and avoid T cell exhaustion (PD-L1, PD1, CTLA-4, LAG-3) can be effective combination therapies with the CD47−/− whole-cell vaccine regime.


Therefore, the present technology provides a composition and a method for preparation thereof comprising inactivated cultured tumor cells which present antigens characteristic of a specific tumor type, such as melanoma, is deficient in CD47 expression. The composition is prepared by gene editing cells of a live cell culture, expanding the cell culture, and then inactivating them, such as with gamma irradiation, or another method of deactivating the cells without causing apoptosis. The inactivated tumor cells are then administered to the patient, optionally with an adjuvant, in a known manner.


The vaccination strategy is therefore to deplete the CD47 protein from cancer cell surface by editing the cd47 gene using the CRISPR-Cas9 technology to switch off the “don't-eat-me” signal from cancer cells, hence permitting the macrophages to engulf the vaccine cells, i.e. the CD47−/− melanoma cells, and present TAAs to CD8+ and CD4+ T-cells to generate an immune response to inhibit tumor growth or to eliminate tumors.


The present technology fully harnesses the immune systems to recognize the TAAs and subsequently to eliminate cancer cells. Cancer cells could easily escape from the immune systems because of their surface protein CD47, and after CD47 is deleted from the vaccine cancer cells, the roadblock for immune recognition and antigen presenting could be removed.


The present invention therefore provides whole-cell tumor vaccines, preferably of an autologous nature, that have been genetically modified to knockout the expression of cell surface CD47, a molecule tumor cells overexpress to evade attack by macrophages in the immune system. When rendered non-replicating, these cells act as an effective immunizing agent and elicit a strong anti-tumor immune response to a current tumor, or the future relapse or metastasis of the same type of tumor.


CD47 was identified as a target for the genetically modified whole-cell vaccines, based on its status as one of the foremost immune evasion markers overexpressed by the tumor cells. As macrophages form the first line of defense by the myeloid arm of the immune system, it is imperative for the tumor cells to be susceptible to attack and engulfment (phagocytosis) by the macrophages in order to elicit an amplified tumor-specific immune response comprising of effector cytotoxic cells. (FIGS. 1A and 1B)


For the proof of concept study of the vaccines, the syngeneic mouse melanoma (B16F10) model was used. They were tested in female C57BL/6 mice for efficacy and tumor growth studies. The biology of CD47 in C57BL/6 mice is believed to be reasonably predictive of human response, and that of many other species.


The CRISPR/Cas9 system was utilized to deplete CD47 expression. Briefly, single guide-RNAs, 20 bp long, were designed in silico with 100% sequence complementarity to a target region of the cd47 gene. The guides were introduced into melanoma B16F10 cells along with the Cas9 endonuclease as a ribonucleoprotein (RNP) complex. Coding exons were edited to create a frameshift mutation in the cd47 gene, leading to the knockout of the CD47 expression on the tumor cell surface. CD47 knockout was confirmed by DNA sequencing, flow cytometry, and immunofluorescence microscopy.


An inactivation technique that renders the genetically modified cells non-replicating, but at the same time non-apoptotic, provides an effective vaccine for use. It was surprisingly found that inactivating the cells using the chemical alkylating agent Mitomycin-C (MMC), masked the involvement of the target protein, CD47. In other words, MMC-treated inactive melanoma cells had some effect as anti-tumor vaccines, but the depletion of cell surface CD47 did not enhance this effect. However, when inactivated by gamma irradiation, the effect of CD47 was clearly seen, a 1.5-fold increase in comparison with CD47+/+ inactivated whole-cell vaccines, see FIG. 17.


Since the deletion of CD47 and its subsequent effects have been tested as proof of concept for melanoma, this system is expected to be especially effective on solid tumors that are capable of creating neo-vasculature around themselves. The experiments reveal of the involvement of the PD-1/PD-L1 pathway proteins, and the presence of myeloid derived cells that are usually present in hypoxic conditions. The following are the categories of tumors based on immune infiltration:


a. “Hot” inflamed tumors: High mutational burden, T-cell infiltration, and elevated expression of PD-1 and PD-L1 proteins, like non-small cell lung cancer, liver cancer, bladder cancer, melanoma, head and neck cancer, etc.


b. “Warm” semi-inflamed tumors: Moderate mutational burden, peripheral presence of T-cells. PD-1 and PD-L1 proteins may or may not be expressed depending on the type of cancer. Examples: ovarian cancer, kidney cancer, some brain tumors, some lung cancers.


c. “Cold” non-inflamed tumors: Very few mutations, no T-cell infiltration, and virtually no PD-1 and PD-L1 proteins. Examples: ER+ breast and prostate cancers, pancreatic cancer, glioblastoma.


The CD47−/− whole-cell tumor vaccines according to the present technology would work on the “hot” and “warm” categories. They may also find use in the “cold” category, and also in tumors which are uncharacterized or which are heterogeneous and include regions or metastases of various types. As noted in the art, the irradiated tumor cells are antigenic, regardless of the CD47 mutation, and therefore the cells may have activity both specifically because of the CD47 knockout and for other reasons.


Further, it is noted that the vaccine operates to stimulate immune cells systemically, and not necessarily in proximity to a tumor. Inactivated such as irradiated CD47−/− (null) autologous cancer cells can serve as immunotherapy vaccines to eliminate (kill) and prevent the cancer recurrence after treatment. Further, the irradiated or otherwise inactivated cells may also be used as a heterologous vaccine. For example, if a patient has an aggressive tumor that has a likely future mutation with poor prognosis, a vaccine may be prepared from cells of a different patient that have already mutated, and thus induce immunity before the patient's own cells undergo the changes. This may also be used as a preventive vaccine in patients with high risk, but before neoplasia is found.


The genetic engineering of the cells is not limited to CD47 knockout, and, for example, the same cells may have their genome edited with a knock-in of an immune-stimulatory adjuvant, such as GM-CSF, which enhances the efficacy of the inactivated CD47−/− autologous cancer vaccines. Further, other knock-outs or knock-ins may be provided, such as a PD-L1 knock-out.


The dual knock-out of CD47 and PD-L1 and knock-in GM-CSF tumor cells can be developed into immune checkpoint-free tumor organoids for in vitro training and generating tumor-responsive T cells by coculturing these tumor organoids with peripheral blood lymphocytes. The trained tumor responsive T cells can then be transplanted into patients to eliminate tumors, or to provide a reservoir of immunity against future tumors.


The efficacy of the CD47−/− vaccines can be further enhanced through cancer combination therapy by combining the vaccination with antibody therapy such as PD-L1 antibody therapy. Normally, the PD-L1 expresses at a low level. The expression of PD-L1 is usually upregulated under the stress such as production of IFN-γ or GM-CSF. The introduction of CD47−/− cancer vaccine as disclosed herein will induce the production of IFN-γ, upregulating PD-L1 expression on tumor cells. Therefore, the efficacy of 0D47−/− vaccines can be considerably enhanced if anti PD-L1 antibodies are used along with vaccines, enabling more tumor-specific T cells to attack and kill tumor cells. PD-L1 antibody treatment has been successful, but being limited to very few tumors. The combination treatment with vaccine and PD-L1 antibody therapy will maximize the immunotherapy by targeting two immune checkpoints simultaneously.


It is therefore an object to provide a vaccine against a neoantigen, comprising a nucleated live cell expressing the neoantigen, which is genetically engineered to block expression of at least one immunosuppressive cell product, and which is nonapoptotic and replicatively incompetent.


It is also an object to provide a method of producing a vaccine against a neoantigen, and the vaccine per se, comprising: obtaining a nucleated live cell expressing the neoantigen; genetically engineering the live cell to block expression of at least one immunosuppressive cell product; and modifying the live cell to render it non-apoptotic and replicatively incompetent.


It is also an object to provide a method for preparing whole-cell vaccine, and the vaccine itself, comprising: isolating a live cell which expresses at least one tumor-associated antigen; genetically editing the live cell to suppress the presentation of cell surface CD47; and modifying the live cell to ensure that it remains alive but is incapable of proliferating in vivo in a patient.


It is a further object to provide a method of treating a disease, comprising: obtaining a biopsy sample from a patient comprising a cell type; genetically editing a cell of the cell type to knockout the expression of CD47; culturing the genetically edited cell to expand the culture; rendering cells of the expanded culture replication nonapoptotic and incompetent; and administering the nonapoptotic replication incompetent cells to the patient, to thereby induce an immune response in the patient to the cell type.


A further object provides a vaccine, comprising a mitosis-arrested and/or senescent cell expressing a target antigen, being genetically edited to reduce expression of a checkpoint molecule.


It is also an object to provide a vaccine, comprising genetically edited cells which express tumor-associated antigens, and do not express cell surface CD47, the genetically edited cells being incapable of proliferating in vivo in a patient and being nonapoptotic.


The method may further comprise administering the vaccine to an animal or human. The animal or human may be the same or different from a source of the cell. The method may further comprise obtaining the administering the live cell from a human suffering from a neoplasia, wherein the live cell is a neoplastic cell, and readministering the modified live cell to the human. The cell may be of an immunogenic or non-immunogenic tumor cell type. The cell type may be selected from the group consisting of melanoma, bladder cancer, head and neck cancers, kidney cancer, liver cancer, and non-small cell lung cancer. The cell type may be selected from the group consisting of ovarian, prostate, and pancreatic cancer. The cell type may be selected from the group consisting of non-small cell lung cancer, liver cancer, bladder cancer, melanoma, and head and neck cancer. The cell type may be a neoplastic cell having an elevated, or normal, or reduced expression of PD-1 and PD-L1 proteins with respect to normal cells from the same organ.


The at least one immunosuppressive cell product may comprise CD47 and/or PD-L1. The vaccine may be administered in conjunction (i.e., prior, concurrently, or subsequently) to a therapy targeting cells that express PD-1, CTLA-4 and/or LAG-3, e.g., monoclonal antibodies. The live nucleated cell may be further genetically engineered to express an immunostimulant. The immunostimulant may be a cytokine, such as GM-CSF. The cells may also produce a protease inhibitor, e.g., a serpin, that acts on the cell's own products or on factors produced by immune cells with which it interacts. Preferably, the protease inhibitor targets a regulatory pathway. The cells may also produce a protease, e.g., a serpin, that acts on proteins in its environment. For example, the protease can target immunosuppressive factors, or itself act in an immunostimulatory capacity. The protease may be a regulatory protein, e.g., which acts on a specific substrate, as part of a regulatory cascade, or a more generic degradative enzyme. The protease and/or protease inhibitor(s) may act to enhance the immune response to the vaccine, and/or reduce immunosuppressive effects of the tumor cell independent of CD47.


The cells may be genetically edited with CRISPR, e.g., CRISPR-Cas9, ZFN, TALEN, rAAV, transposons, or the like. The cell may express an RNAi, which reduces expression of the immune checkpoint molecule. The live nucleated cell may be genetically engineered to include at least one restriction endonuclease recognition site, a nuclease, and/or a guide RNA (gRNA).


The cell may be derived from a neoplastic cell, e.g., a melanoma cell. The cell may be rendered nonapoptotic and replicatively incompetent and/or senescent by irradiation, e.g., gamma irradiation.


The method may further comprise administering the vaccine to a human or animal, wherein the vaccine is an autologous vaccine derived from nucleated live cells of the same human or animal to which it is administered or a heterologous vaccine derived from nucleated live cells of a different human or animal to which it is administered.


The cell may be edited to knockout the expression of antigens specific to the human or animal from which it is derived, and/or to produce expression of antigens specific to the human or animal to which it is administered.


It is also an object to provide an ex vivo method of training immune cells to respond to cancer cells, comprising interacting cancer cells which express a neoantigen, with immune cells (myeloid cells), under conditions of depleted expression of their immune checkpoint blockades, to therefore train T-cells to recognize the neoantigen with reduced suppression by cellular “don't eat me” signals. The cancer cells may be obtained from a patient having a cancer, and the trained T-cells may be infused back into the patient. It is also an object to provide a method of training T-cells to target cancer cells expressing a neoantigen, comprising: extracting cancer cells expressing the neoantigen from a host; modifying the cancer cells expressing the neoantigen; and training T-cells to cause T-cell activation toward the cancer cells expressing the neoantigen, wherein at least one of the cancer cells and the T-cells are modified to eliminate SIRP-α binding to CD47, PD-L1 binding to PD-1, etc. The cancer cells may be derived from the same host or a different host. Likewise, activated T-cells may be infused back into the host, or a different host. Preferably, heterologously activated T-cells are genetically modified to prevent graft vs. host disease or host vs. graft disease.


Another object provides a method of training T-cells to target cancer cells expressing a neoantigen, comprising: providing cancer cells expressing the neoantigen; extracting T cells from a host; modifying at least one of the cancer cells and the T cells to increase immune recognition of the cancer cells by the T cells; and contacting the cancer cells with the T cells, to cause activation of the T-cells toward the cancer cells. The modifying may reduce at least one of SIRP-α binding of CD47 and a PD-L1 binding to PD-1, and the cancer cells may be provided during the contacting as organoids expressing the neoantigen comprising only replication-incompetent cells.


The cancer cells may be processed to form an organoid and used for immune training as described above. The cancer cells may be processed to render them nonapoptotic and replicatively incompetent, such as by irradiation. For example, organoids may be irradiated after reaching a desired stage of maturation. The cancer cells may be genetically edited to include a conditional lethal gene, wherein after training of the immune cells, the cancer cells are killed by triggering of the conditional lethality caused by the gene. The cancer cells may be further edited to alter expression of cytokines, and other immunostimulatory and/or immunosuppressive factors, in a manner to enhance training of immune cells to produce activated T cells. An organoid may be formed including the neoplastic cells, as well as other cells, e.g., fibroblasts, which may be normally differentiated or stem cells from the same host, or a different host. The organoid may be cultured to provide a plurality of cell types within the organoid, including cells which express the neoantigen. In some cases, the organoid emulates the source tumor, but in other cases, it may emulate an environment of a metastasis. In still other cases, it may emulate a privileged biological compartment or immune organ. Such immune checkpoint blockades depleted organoids can also be used as an in vitro model for determining the underlying mechanisms of vaccination.


The activated T-cells may then be reinfused into the host, to provide a therapy for the cancer.


The cancer cells expressing the neoantigen, and/or the entire organoid, may be are further modified to render them nonapoptotic and replicatively incompetent, for example by irradiation. The cancer cells may also be genetically edited to include a lethal susceptibility, and a condition which triggers the lethal susceptibility applied after training, to thereby kill the cancer cells and ensure that live cancer cells are not implanted into a host along with the trained T-cells. Cell separation technology such as FACS (fluorescence-activated cell sorting) and/or MACS (magnetic-activated cell sorting) may also be used to selected trained T cells to ensure infusing only the activated T-cells into the host. (Lavender et al. 2013; Baglole et al. 2006; Kleeff et al. 2016; Kroemer et al. 2013; Peinado et al. 2017; Tseng et al. 2013; Fong et al. 2001; Mittal et al. 2014; Liu et al. 2015; Galon et al. 2002).


U.S. Patent Nos. and U.S. Published Patent Application Nos: U.S. Pat. Nos. 5,616,471; 5,631,237; 5,709,854; 5,756,291; 5,859,312; 6,129,761; 6,309,635; 6,340,461; 6,344,441; 6,372,494; 6,413,735; 6,673,908; 6,686,179; 6,759,047; 6,790,606; 6,805,869; 6,905,688; 6,905,827; 6,926,898; 6,946,134; 6,946,444; 6,962,974; 6,972,322; 6,974,667; 6,987,006; 6,989,365; 6,994,857; 7,005,276; 7,026,121; 7,041,478; 7,045,318; 7,056,701; 7,064,185; 7,081,345; 7,081,354; 7,094,577; 7,118,746; 7,141,363; 7,141,547; 7,189,507; 7,208,313; 7,220,722; 7,232,683; 7,235,358; 7,238,667; 7,244,578; 7,250,496; 7,252,949; 7,282,556; 7,371,734; 7,378,423; 7,387,779; 7,408,041; 7,410,779; 7,411,052; 7,415,358; 7,426,441; 7,427,665; 7,435,410; 7,435,412; 7,482,013; 7,498,171; 7,507,413; 7,507,414; 7,510,843; 7,514,229; 7,521,424; 7,521,540; 7,531,300; 7,550,432; 7,553,629; 7,588,767; 7,588,771; 7,592,010; 7,592,426; 7,595,159; 7,598,353; 7,601,355; 7,615,372; 7,622,108; 7,632,924; 7,645,575; 7,662,398; 7,666,596; 7,691,569; 7,709,256; 7,709,257; 7,709,616; 7,714,110; 7,754,221; 7,771,999; 7,775,469; 7,777,008; 7,781,212; 7,785,806; 7,785,883; 7,786,270; 7,794,715; 7,807,150; 7,807,382; 7,825,099; 7,829,336; 7,846,445; 7,847,079; 7,855,074; 7,855,279; 7,863,418; 7,888,050; 7,892,556; 7,915,000; 7,931,901; 7,935,338; 7,939,083; 7,939,263; 7,939,267; 7,960,512; 7,993,642; 7,998,460; 8,003,385; 8,003,387; 8,003,774; 8,008,073; 8,014,957; 8,021,662; 8,030,070; 8,034,903; 8,044,178; 8,044,180; 8,044,193; 8,062,889; 8,067,187; 8,071,373; 8,071,539; 8,075,884; 8,080,416; 8,114,403; 8,114,617; 8,114,832; 8,119,403; 8,124,083; 8,129,340; 8,133,982; 8,138,147; 8,142,791; 8,142,994; 8,148,106; 8,158,360; 8,158,385; 8,187,593; 8,187,877; 8,188,232; 8,192,737; 8,193,318; 8,206,710; 8,206,907; 8,211,439; 8,216,574; 8,216,579; 8,217,147; 8,221,769; 8,236,313; 8,247,226; 8,252,739; 8,263,344; 8,277,812; 8,288,159; 8,298,823; 8,298,824; 8,318,492; 8,323,959; 8,329,868; 8,343,497; 8,343,498; 8,361,485; 8,361,736; 8,377,448; 8,377,902; 8,389,691; 8,404,654; 8,444,972; 8,470,815; 8,476,231; 8,481,271; 8,481,703; 8,491,913; 8,492,328; 8,492,530; 8,506,947; 8,507,434; 8,513,189; 8,524,237; 8,524,656; 8,530,627; 8,541,033; 8,541,185; 8,546,541; 8,557,241; 8,557,788; 8,562,997; 8,562,998; 8,586,039; 8,591,905; 8,628,762; 8,629,151; 8,637,028; 8,647,837; 8,652,466; 8,658,173; 8,668,926; 8,669,105; 8,691,780; 8,697,071; 8,697,371; 8,709,415; 8,709,429; 8,716,465; 8,722,402; 8,728,456; 8,728,476; 8,758,750; 8,759,495; 8,765,120; 8,778,339; 8,784,808; 8,784,836; 8,785,599; 8,790,895; 8,791,238; 8,802,091; 8,802,093; 8,802,240; 8,802,438; 8,835,398; 8,835,443; 8,840,885; 8,840,889; 8,853,382; 8,862,448; 8,865,672; 8,871,219; 8,883,506; 8,883,980; 8,889,411; 8,895,000; 8,906,381; 8,906,607; 8,920,776; 8,932,583; 8,932,595; 8,933,197; 8,945,543; 8,946,387; 8,951,517; 8,951,527; 8,951,737; 8,962,319; 8,962,804; 8,968,730; 8,969,289; 8,980,864; 8,986,684; 8,993,517; 8,999,328; 8,999,380; 8,999,654; 9,000,133; 9,005,613; 9,006,254; 9,012,399; 9,017,693; 9,018,358; 9,028,815; 9,045,541; 9,045,562; 9,050,279; 9,050,297; 9,061,059; 9,089,604; 9,095,552; 9,096,877; 9,107,886; 9,114,113; 9,115,197; 9,115,388; 9,127,292; 9,132,210; 9,133,239; 9,144,614; 9,144,690; 9,149,506; 9,150,656; 9,150,661; 9,151,760; 9,156,897; 9,175,083; 9,181,319; 9,186,372; 9,187,544; 9,192,651; 9,193,794; 9,193,955; 9,193,977; 9,198,949; 9,201,063; 9,205,148; 9,216,205; 9,220,714; 9,220,755; 9,220,788; 9,220,792; 9,221,891; 9,221,896; 9,221,908; 9,233,072; 9,233,141; 9,233,154; 9,234,896; 9,238,084; 9,241,994; 9,243,069; 9,249,229; 9,254,311; 9,255,129; 9,271,996; 9,279,019; 9,283,287; 9,289,395; 9,295,689; 9,296,801; 9,296,809; 9,296,820; 9,297,005; 9,301,993; 9,303,079; 9,308,280; 9,309,510; 9,315,824; 9,320,813; 9,328,346; 9,334,328; 9,334,329; 9,339,519; 9,340,584; 9,352,004; 9,352,037; 9,358,282; 9,370,558; 9,381,235; 9,382,285; 9,382,320; 9,393,396; 9,394,365; 9,399,679; 9,399,682; 9,402,377; 9,402,916; 9,428,535; 9,428,553; 9,439,859; 9,441,049; 9,446,107; 9,447,164; 9,452,228; 9,458,486; 9,460,263; 9,462,794; 9,463,217; 9,464,124; 9,469,692; 9,474,717; 9,486,512; 9,487,587; 9,492,499; 9,492,534; 9,492,536; 9,492,566; 9,493,569; 9,493,575; 9,498,536; 9,504,236; 9,505,842; 9,512,225; 9,512,227; 9,517,276; 9,518,116; 9,518,117; 9,522,195; 9,522,944; 9,526,702; 9,527,901; 9,533,047; 9,534,052; 9,539,210; 9,539,245; 9,539,309; 9,540,424; 9,546,206; 9,562,073; 9,562,087; 9,566,250; 9,572,897; 9,574,014; 9,574,211; 9,579,300; 9,585,920; 9,587,003; 9,597,357; 9,597,380; 9,598,492; 9,603,878; 9,603,894; 9,605,076; 9,610,328; 9,611,329; 9,611,458; 9,624,276; 9,624,297; 9,624,305; 9,625,444; 9,629,877; 9,639,660; 9,644,005; 9,644,180; 9,650,440; 9,650,441; 9,650,445; 9,655,352; 9,657,105; 9,657,295; 9,663,575; 9,669,108; 9,670,205; 9,670,269; 9,670,281; 9,675,561; 9,675,668; 9,676,856; 9,677,125; 9,682,934; 9,693,954; 9,694,084; 9,700,027; 9,701,758; 9,701,965; 9,708,333; 9,708,408; 9,714,295; 9,714,296; 9,717,694; 9,726,668; 9,726,676; 9,730,967; 9,737,480; 9,737,599; 9,738,646; 9,738,724; 9,745,367; 9,750,709; 9,750,814; 9,750,816; 9,757,196; 9,764,039; 9,764,145; 9,765,143; 9,770,512; 9,770,517; 9,770,535; 9,771,428; 9,775,332; 9,777,061; 9,777,066; 9,782,462; 9,783,593; 9,783,618; 9,788,534; 9,789,171; 9,790,275; 9,790,490; 9,790,503; 9,796,781; 9,796,783; 9,803,016; 9,803,177; 9,804,160; 9,809,581; 9,814,760; 9,815,901; 9,816,080; 9,816,094; 9,820,476; 9,821,045; 9,821,068; 9,822,180; 9,827,329; 9,827,332; 9,828,416; 9,834,545; 9,834,608; 9,834,787; 9,834,790; 9,834,791; 9,839,208; 9,839,614; 9,839,687; 9,840,493; 9,840,503; 9,845,345; 9,849,092; 9,850,483; 9,856,314; 9,856,318; 9,856,479; 9,856,497; 9,862,705; 9,862,927; 9,872,900; 9,873,734; 9,873,747; 9,878,056; 9,884,112; 9,884,813; 9,884,893; 9,888,673; 9,888,956; 9,889,141; 9,889,164; 9,894,888; 9,895,189; 9,895,451; 9,896,508; 9,896,516; 9,901,082; 9,901,083; 9,902,771; 9,902,970; 9,914,759; 9,914,774; 9,914,938; 9,920,122; 9,920,295; 9,920,317; 9,924,705; 9,925,183; 9,925,247; 9,925,277; 9,932,591; 9,937,233; 9,937,249; 9,938,331; 9,938,345; 9,938,357; 9,938,358; 9,939,443; 9,944,647; 9,950,068; 9,951,065; 9,958,448; 9,963,716; 9,969,789; 9,974,774; 9,981,975; 9,982,047; 9,982,048; 9,982,049; 9,982,050; 9,982,051; 9,982,057; 9,986,724; 9,987,500; 9,988,408; 9,988,448; 9,988,452; 9,993,460; 9,993,563; 9,994,527; 9,994,821; 10,000,746; 10,015,953; 10,016,480; 10,022,425; 10,022,436; 10,023,623; 10,023,840; 10,023,880; 10,035,855; 10,035,859; 10,035,860; 10,036,040; 10,045,947; 10,053,683; 10,053,694; 10,064,398; 10,064,925; 10,064,959; 10,077,442; 10,080,789; 10,081,680; 10,081,792; 10,081,798; 10,086,042; 10,087,257; 10,087,442; 20010026937; 20020006397; 20020037279; 20020039786; 20020102278; 20020142981; 20020150986; 20020151498; 20020165154; 20020177551; 20020182188; 20030026803; 20030031681; 20030032034; 20030064053; 20030124614; 20030129202; 20030138432; 20030144494; 20030148316; 20030157113; 20030162230; 20030202977; 20030228570; 20030235561; 20030235909; 20040002124; 20040005563; 20040009479; 20040010119; 20040029114; 20040033493; 20040043010; 20040047858; 20040058883; 20040072160; 20040076955; 20040077601; 20040106120; 20040110227; 20040142885; 20040147731; 20040214783; 20050005316; 20050031643; 20050069549; 20050084490; 20050112141; 20050118164; 20050118715; 20050123522; 20050136066; 20050142539; 20050142587; 20050148072; 20050169914; 20050181375; 20050220789; 20050221435; 20050255114; 20050271659; 20050282177; 20060003322; 20060014768; 20060019256; 20060040392; 20060051370; 20060051803; 20060063156; 20060073591; 20060074034; 20060078540; 20060078900; 20060084055; 20060084167; 20060088522; 20060088820; 20060088836; 20060104987; 20060111312; 20060122132; 20060134109; 20060134122; 20060134664; 20060149049; 20060153860; 20060165684; 20060171988; 20060188508; 20060199204; 20060199231; 20060222588; 20060223121; 20060239910; 20060239911; 20060241067; 20060251646; 20060257903; 20060257965; 20060263783; 20060263803; 20060263813; 20060269949; 20060292143; 20060292683; 20060293708; 20070015206; 20070025981; 20070031890; 20070041904; 20070041981; 20070071745; 20070077232; 20070099209; 20070105133; 20070111238; 20070134657; 20070134690; 20070135393; 20070154458; 20070154931; 20070161587; 20070190078; 20070202572; 20070209082; 20070212727; 20070219125; 20070231333; 20070243177; 20070269432; 20080020979; 20080026980; 20080039341; 20080047026; 20080050374; 20080051565; 20080057508; 20080076715; 20080081038; 20080085277; 20080102054; 20080108583; 20080118529; 20080131431; 20080207488; 20080213839; 20080214452; 20080227712; 20080249009; 20080249606; 20080260744; 20080268453; 20080274091; 20080286808; 20080292546; 20080292615; 20080305965; 20080306004; 20080312228; 20090004134; 20090004172; 20090004178; 20090004211; 20090004678; 20090005302; 20090005305; 20090010908; 20090010952; 20090041825; 20090048159; 20090048266; 20090075877; 20090081228; 20090092582; 20090099031; 20090104195; 20090104628; 20090123503; 20090136917; 20090155254; 20090156786; 20090163434; 20090175827; 20090178153; 20090181863; 20090186073; 20090191202; 20090191548; 20090192102; 20090203588; 20090215053; 20090226406; 20090227025; 20090227533; 20090232893; 20090258002; 20090280124; 20090280135; 20090286856; 20090324594; 20100008946; 20100015126; 20100015653; 20100016235; 20100021454; 20100021483; 20100029746; 20100041875; 20100047276; 20100062007; 20100062016; 20100068147; 20100092425; 20100092467; 20100092989; 20100093556; 20100104582; 20100105054; 20100105066; 20100112568; 20100120043; 20100129392; 20100129439; 20100137149; 20100143372; 20100173024; 20100173382; 20100183727; 20100184032; 20100189682; 20100196426; 20100197015; 20100203010; 20100233199; 20100233251; 20100233808; 20100239579; 20100240613; 20100240732; 20100247562; 20100254981; 20100260706; 20100261172; 20100261190; 20100267648; 20100272824; 20100273258; 20100273667; 20100292155; 20100303850; 20100305003; 20100306863; 20100310534; 20100330046; 20110003704; 20110008382; 20110014119; 20110015090; 20110016543; 20110020388; 20110023143; 20110027217; 20110027235; 20110028395; 20110030072; 20110038841; 20110038870; 20110053157; 20110059901; 20110060120; 20110070229; 20110070230; 20110071054; 20110071276; 20110092381; 20110093249; 20110124552; 20110129817; 20110135641; 20110142902; 20110151433; 20110152115; 20110165588; 20110166199; 20110171687; 20110182937; 20110183866; 20110185439; 20110189181; 20110190157; 20110196614; 20110206696; 20110214189; 20110217308; 20110217715; 20110223201; 20110224800; 20110230647; 20110236401; 20110250220; 20110251077; 20110251108; 20110262491; 20110268804; 20110268805; 20110275096; 20110287022; 20110288080; 20110300176; 20110305663; 20120010090; 20120027808; 20120039841; 20120046346; 20120064600; 20120065086; 20120072124; 20120087890; 20120094301; 20120094395; 20120114759; 20120135426; 20120135521; 20120149714; 20120164101; 20120171200; 20120190730; 20120192298; 20120207759; 20120219559; 20120220011; 20120220484; 20120222140; 20120225073; 20120230940; 20120230947; 20120233715; 20120237500; 20120276010; 20120282174; 20120295285; 20120295956; 20120295957; 20120301400; 20120308484; 20120315216; 20120322864; 20120322865; 20120322986; 20130011401; 20130011438; 20130034847; 20130039884; 20130039925; 20130078242; 20130116150; 20130123192; 20130129790; 20130130317; 20130131194; 20130156795; 20130189741; 20130190385; 20130190387; 20130203169; 20130209398; 20130209427; 20130209471; 20130210076; 20130210725; 20130216506; 20130217069; 20130217129; 20130224188; 20130225435; 20130230921; 20130236533; 20130244256; 20130244326; 20130247233; 20130252895; 20130267684; 20130287729; 20130287857; 20130296185; 20130323254; 20130323819; 20130330325; 20130331383; 20130336925; 20130337066; 20130337474; 20130338067; 20130338089; 20130340105; 20140017215; 20140023664; 20140030344; 20140037736; 20140038833; 20140044735; 20140044738; 20140045915; 20140046030; 20140056936; 20140057257; 20140065169; 20140066598; 20140079836; 20140080732; 20140086957; 20140100164; 20140101786; 20140113348; 20140113832; 20140120622; 20140127269; 20140127301; 20140134662; 20140140989; 20140141986; 20140148350; 20140161805; 20140161825; 20140178400; 20140179770; 20140193453; 20140194319; 20140194613; 20140199308; 20140242173; 20140242699; 20140248273; 20140255313; 20140255369; 20140255431; 20140256649; 20140271582; 20140271641; 20140275082; 20140286959; 20140294891; 20140296161; 20140302060; 20140303354; 20140308302; 20140308746; 20140314865; 20140315984; 20140328825; 20140356326; 20140363496; 20140369924; 20140370012; 20140377221; 20140377287; 20150005477; 20150017187; 20150020223; 20150030533; 20150030535; 20150030657; 20150037359; 20150044222; 20150056636; 20150065556; 20150072893; 20150073041; 20150079046; 20150079088; 20150087810; 20150089678; 20150089679; 20150094518; 20150100345; 20150110806; 20150110836; 20150126456; 20150132313; 20150140566; 20150147276; 20150147336; 20150150996; 20150152147; 20150152187; 20150152474; 20150164955; 20150167088; 20150168405; 20150175707; 20150182588; 20150183812; 20150203579; 20150203580; 20150208622; 20150209389; 20150211020; 20150218217; 20150232881; 20150232883; 20150238604; 20150246073; 20150250896; 20150259431; 20150265725; 20150266942; 20150266956; 20150268245; 20150274826; 20150284416; 20150284445; 20150284688; 20150285802; 20150291966; 20150297745; 20150299197; 20150301055; 20150301058; 20150306212; 20150314017; 20150315289; 20150320810; 20150322155; 20150328300; 20150329875; 20150330997; 20150343055; 20150344584; 20150353642; 20150366897; 20150366988; 20150368719; 20150374790; 20150376288; 20150376296; 20160000886; 20160000909; 20160002336; 20160002597; 20160003835; 20160007893; 20160008374; 20160008463; 20160009813; 20160009814; 20160009815; 20160022976; 20160024211; 20160038467; 20160038576; 20160038612; 20160039903; 20160039908; 20160045532; 20160045551; 20160046724; 20160047735; 20160050896; 20160051651; 20160052983; 20160052990; 20160053003; 20160058793; 20160058885; 20160060342; 20160060594; 20160060707; 20160060709; 20160068596; 20160068601; 20160069889; 20160083791; 20160089397; 20160090603; 20160096892; 20160097773; 20160101111; 20160101150; 20160108045; 20160108123; 20160122707; 20160130348; 20160130552; 20160130569; 20160139012; 20160143961; 20160144009; 20160144026; 20160153004; 20160153005; 20160153053; 20160157470; 20160159905; 20160159920; 20160165861; 20160166546; 20160168242; 20160175308; 20160175358; 20160175462; 20160176916; 20160176948; 20160176976; 20160176978; 20160185859; 20160186146; 20160186150; 20160193252; 20160193258; 20160193357; 20160194368; 20160194399; 20160194406; 20160194625; 20160199424; 20160200804; 20160200816; 20160206566; 20160207949; 20160207987; 20160208243; 20160215052; 20160219845; 20160220537; 20160222097; 20160222121; 20160235045; 20160235730; 20160235731; 20160235788; 20160235792; 20160237132; 20160237400; 20160237455; 20160243221; 20160243247; 20160243259; 20160244501; 20160244502; 20160244522; 20160244528; 20160244751; 20160251336; 20160251435; 20160251477; 20160256448; 20160256458; 20160257751; 20160257932; 20160264665; 20160271188; 20160273046; 20160278350; 20160280753; 20160282365; 20160283653; 20160287670; 20160289229; 20160289238; 20160289324; 20160289341; 20160289343; 20160297880; 20160298082; 20160299146; 20160303095; 20160304969; 20160311903; 20160311905; 20160311908; 20160311917; 20160312295; 20160312297; 20160317647; 20160319021; 20160319256; 20160319361; 20160324897; 20160324983; 20160326253; 20160326261; 20160326263; 20160326585; 20160326596; 20160331828; 20160333008; 20160333009; 20160333114; 20160339064; 20160340397; 20160340407; 20160340661; 20160340743; 20160345549; 20160347857; 20160348073; 20160354397; 20160355587; 20160355592; 20160355599; 20160355797; 20160362464; 20160362472; 20160362678; 20160366862; 20160367670; 20160368994; 20160369002; 20160369269; 20160374321; 20160374949; 20160375033; 20160375148; 20160376333; 20160376663; 20170000779; 20170000869; 20170002060; 20170002068; 20170002088; 20170007644; 20170007685; 20170008891; 20170008951; 20170009238; 20170014527; 20170020835; 20170020926; 20170020956; 20170023548; 20170027140; 20170028079; 20170029418; 20170029508; 20170035808; 20170037431; 20170038394; 20170038395; 20170044164; 20170044258; 20170044259; 20170051358; 20170053091; 20170055561; 20170056347; 20170056470; 20170057965; 20170065636; 20170067021; 20170067065; 20170067875; 20170071918; 20170071944; 20170072067; 20170072071; 20170073414; 20170073425; 20170073664; 20170079916; 20170080029; 20170081407; 20170088898; 20170095531; 20170095552; 20170096671; 20170100486; 20170101472; 20170106068; 20170107216; 20170107270; 20170107300; 20170107536; 20170107578; 20170114413; 20170115291; 20170119687; 20170119820; 20170119930; 20170121310; 20170121409; 20170121771; 20170122853; 20170128490; 20170128505; 20170130200; 20170130232; 20170130247; 20170130271; 20170136073; 20170137783; 20170137845; 20170137885; 20170143830; 20170143845; 20170144996; 20170144997; 20170145025; 20170145381; 20170145464; 20170151281; 20170151282; 20170151339; 20170151346; 20170152274; 20170152528; 20170157230; 20170157262; 20170158749; 20170165298; 20170165375; 20170166903; 20170173001; 20170173085; 20170173109; 20170173128; 20170173168; 20170173176; 20170174671; 20170174679; 20170174713; 20170174748; 20170174779; 20170174781; 20170174790; 20170175128; 20170182096; 20170183420; 20170184565; 20170184604; 20170188555; 20170190776; 20170191034; 20170191055; 20170191128; 20170196818; 20170196966; 20170198038; 20170198051; 20170198302; 20170198308; 20170199193; 20170202914; 20170202975; 20170202979; 20170204139; 20170204152; 20170204181; 20170204407; 20170204422; 20170209492; 20170209595; 20170209864; 20170210788; 20170210802; 20170210803; 20170210811; 20170210812; 20170211055; 20170216353; 20170218086; 20170224734; 20170224737; 20170224814; 20170224837; 20170226217; 20170226223; 20170226507; 20170233451; 20170233474; 20170233808; 20170240613; 20170240634; 20170240637; 20170240639; 20170247464; 20170247685; 20170248603; 20170252379; 20170252396; 20170253933; 20170258882; 20170260137; 20170260245; 20170260268; 20170260277; 20170260763; 20170265442; 20170267637; 20170269093; 20170274014; 20170275290; 20170275364; 20170281627; 20170281684; 20170281791; 20170281795; 20170283497; 20170283807; 20170290858; 20170290899; 20170290923; 20170291945; 20170291958; 20170296623; 20170296663; 20170306038; 20170306303; 20170306416; 20170313707; 20170313781; 20170313978; 20170314075; 20170320875; 20170320945; 20170321194; 20170321220; 20170321443; 20170326093; 20170326179; 20170327567; 20170327577; 20170327590; 20170334967; 20170335281; 20170335331; 20170335344; 20170340724; 20170340725; 20170342060; 20170342068; 20170342119; 20170342380; 20170342390; 20170343552; 20170343554; 20170348234; 20170348390; 20170348391; 20170348415; 20170348429; 20170349433; 20170349658; 20170349874; 20170349950; 20170350879; 20170355767; 20170355773; 20170355774; 20170355958; 20170356022; 20170356903; 20170360706; 20170360836; 20170360873; 20170360932; 20170360959; 20170360963; 20170361126; 20170362253; 20170362302; 20170362329; 20170362332; 20170362334; 20170362582; 20170362593; 20170362605; 20170368169; 20170369572; 20170369573; 20170369828; 20170369843; 20180000865; 20180000914; 20180002422; 20180008694; 20180009779; 20180009815; 20180009816; 20180009893; 20180009895; 20180010082; 20180010179; 20180015137; 20180015153; 20180016260; 20180016344; 20180016352; 20180020647; 20180021429; 20180021448; 20180022781; 20180022806; 20180022813; 20180028455; 20180028645; 20180028651; 20180028686; 20180030137; 20180030142; 20180030148; 20180030411; 20180030515; 20180036289; 20180036425; 20180037652; 20180037861; 20180037898; 20180038865; 20180042905; 20180044404; 20180044423; 20180044424; 20180044662; 20180049413; 20180049984; 20180051081; 20180051335; 20180051347; 20180052176; 20180055891; 20180057486; 20180057594; 20180057598; 20180064425; 20180064745; 20180064787; 20180065938; 20180066262; 20180066285; 20180068057; 20180070564; 20180071344; 20180072718; 20180072719; 20180072720; 20180072740; 20180072741; 20180072743; 20180078624; 20180079812; 20180080087; 20180085434; 20180085447; 20180085465; 20180086734; 20180086755; 20180086829; 20180092338; 20180092937; 20180092968; 20180092973; 20180094231; 20180094244; 20180098972; 20180100026; 20180100201; 20180100860; 20180104187; 20180105591; 20180105592; 20180105600; 20180110772; 20180110831; 20180110847; 20180110874; 20180111997; 20180111998; 20180111999; 20180112213; 20180117117; 20180117150; 20180118826; 20180118834; 20180119101; 20180119107; 20180119118; 20180125892; 20180125935; 20180125988; 20180126001; 20180126003; 20180126014; 20180127499; 20180127509; 20180127748; 20180127783; 20180133296; 20180134684; 20180135012; 20180135020; 20180139941; 20180140602; 20180140698; 20180141934; 20180141939; 20180141986; 20180142018; 20180142019; 20180142035; 20180142257; 20180142258; 20180147257; 20180148503; 20180148512; 20180148514; 20180148790; 20180153796; 20180153821; 20180153884; 20180153937; 20180153942; 20180153975; 20180153978; 20180153984; 20180153989; 20180155405; 20180155424; 20180155716; 20180155717; 20180156798; 20180156800; 20180156807; 20180160662; 20180161300; 20180161307; 20180161349; 20180161371; 20180162903; 20180162937; 20180162939; 20180162940; 20180163178; 20180163197; 20180163210; 20180163882; 20180168488; 20180168489; 20180168490; 20180169027; 20180169091; 20180169097; 20180169153; 20180169154; 20180169230; 20180170907; 20180170916; 20180171014; 20180171028; 20180171337; 20180177784; 20180177827; 20180177870; 20180179179; 20180179197; 20180179201; 20180179202; 20180179221; 20180179492; 20180179494; 20180179590; 20180179591; 20180179601; 20180184630; 20180185351; 20180185668; 20180185844; 20180186878; 20180186882; 20180186883; 20180187149; 20180187153; 20180187154; 20180192623; 20180193479; 20180194831; 20180200366; 20180200378; 20180201661; 20180201677; 20180201901; 20180207267; 20180207273; 20180208636; 20180208659; 20180208897; 20180208903; 20180208943; 20180209983; 20180211447; 20180214524; 20180214566; 20180214579; 20180216067; 20180216073; 20180216078; 20180216162; 20180217131; 20180221362; 20180221381; 20180221508; 20180222944; 20180222982; 20180223256; 20180224432; 20180228786; 20180228881; 20180228926; 20180229241; 20180230417; 20180235894; 20180235897; 20180238884; 20180243311; 20180243341; 20180243426; 20180243444; 20180244627; 20180244738; 20180244748; 20180246099; 20180249688; 20180249689; 20180250339; 20180250395; 20180250405; 20180250418; 20180251460; 20180251464; 20180251521; 20180251533; 20180251558; 20180251563; 20180252727; 20180256549; 20180256572; 20180256624; 20180256709; 20180256742; 20180256747; 20180258149; 20180258158; 20180258186; 20180258411; 20180258422; 20180258484; 20180263985; 20180264094; 20180264095; 20180264186; 20180265530; 20180265847; 20180267043; 20180267516; 20180271795; 20180271870; 20180271891; 20180271910; 20180271970; 20180271975; 20180271992; 20180273519; 20180273531; 20180273578; 20180273903; 20180273948; 20180273980; 20180274043; 20180275143; 20180280451; 20180280502; 20180280532; 20180280539; 20180282693; 20180282726; 20180282803; and 20180282808.


Ain, Qurrat U I, Jee Young Chung, and Yong-Hee Kim. “Current and future delivery systems for engineered nucleases: ZFN, TALEN and RGEN.” Journal of Controlled Release 205 (2015): 120-127.


Akhter, A., M. A. Gavrilin, L. Frantz, S. Washington, C. Ditty, D. Limoli, C. Day, A. Sarkar, C. Newland, J. Butchar, C. B. Marsh, M. D. Wewers, S. Tridandapani, T. D. Kanneganti, A. O. Amer, Caspase-7 activation by the NIrc4/Ipaf inflammasome restricts Legionella pneumophila infection. PLoS Pathog. 5 (2009) e1000361.


Alvey, Cory, and Dennis E. Discher. “Engineering macrophages to eat cancer: from “marker of self” CD47 and phagocytosis to differentiation.” Journal of leukocyte biology 102, no. 1 (2017): 31-40.


Anderson, A. C., N. Joller, and V. K. Kuchroo, Lag-3, Tim-3, and TIGIT: Co-inhibitory Receptors with Specialized Functions in Immune Regulation. Immunity, 2016. 44(5): p. 989-1004.


Ankarcrona, M., J. M. Dypbukt, E. Bonfoco, B. Zhivotovsky, S. Orrenius, S. A. Lipton, P. Nicotera, Glutamate-induced neuronal death: a succession of necrosis or apoptosis depending on mitochondrial function. Neuron 15 (1995) 961-973.


Baglole, Carolyn J., Denise M. Ray, Steven H. Bernstein, Steven E. Feldon, Terry J. Smith, Patricia J. Sime, and Richard P. Phipps. “More than structural cells, fibroblasts create and orchestrate the tumor microenvironment.” Immunological investigations 35, no. 3-4 (2006): 297-325.


Balachandran, S., E. Thomas, G. N. Barber, A FADD-dependent innate immune mechanism in mammalian cells. Nature 432 (2004) 401-405.


Barclay A. N. and Van den Berg T. K. 2014. The interaction between signal regulatory protein alpha (SIRP-α) and CD47: structure, function, and therapeutic target. Annu Rev Immunol. 32:25-50.


Bell, B. D., S. Leverrier, B. M. Weist, R. H. Newton, A. F. Arechiga, K. A. Luhrs, N. S. Morrissette, C. M. Walsh, FADD and caspase-8 control the outcome of autophagic signaling in proliferating T cells. Proc. Natl. Acad. Sci. U.S.A. 105 (2008) 16677-16682.


Benencia, F., et al., Dendritic cells the tumor microenvironment and the challenges for an effective antitumor vaccination. J Biomed Biotechnol, 2012. 2012: p. 425476.


Bergsbaken, T., S. L. Fink, B. T. Cookson, Pyroptosis: host cell death and inflammation. Nat. Rev. Microbiol. 7 (2009) 99-109.


Berry, D. L., E. H. Baehrecke, Growth arrest and autophagy are required for salivary gland cell degradation in Drosophila. Cell 131 (2007) 1137-1148.


Brennan, M. A., B. T. Cookson, Salmonella induces macrophage death by caspase-1-dependent necrosis. Mol. Microbiol. 38 (2000) 31-40.


Brightwell, R. M., K. S. Grzankowski, S. Lele, K. Eng, M. Arshad, H. Chen, and K. Odunsi. “The CD47 “don't eat me signal” is highly expressed in human ovarian cancer.” Gynecologic oncology 143, no. 2 (2016): 393-397.


Bronte, V., et al., Recommendations for myeloid-derived suppressor cell nomenclature and characterization standards. Nat Commun, 2016. 7: p. 12150.


Bullock, T. N., TNF-receptor superfamily agonists as molecular adjuvants for cancer vaccines. Curr Opin Immunol, 2017. 47: p. 70-77.


Cannon, Martin J., and Timothy J. O'Brien. “Cellular immunotherapy for ovarian cancer.” Expert opinion on biological therapy 9, no. 6 (2009): 677-688.


Carucci, John A. “Understanding dendritic cells and their role in cutaneous carcinoma and cancer immunotherapy.” Clinical and Developmental Immunology 2013 (2013).


Chamuleau, M. E., G. J. Ossenkoppele, and A. A. van de Loosdrecht, MHC class II molecules in tumour immunology: prognostic marker and target for immune modulation. Immunobiology, 2006. 211(6-8): p. 619-25.


Chan, F. K., J. Shisler, J. G. Bixby, M. Felices, L. Zheng, M. Appel, J. Orenstein, B. Moss, M. J. Lenardo, A role for tumor necrosis factor receptor-2 and receptor-interacting protein in programmed necrosis and antiviral responses. J. Biol. Chem. 278 (2003) 51613-51621.


Chao M P, Jaiswal S, Weissman-Tsukamoto R, Alizadeh A A, Gentles A J, Volkmer J, et al. Calreticulin is the dominant pro-phagocytic signal on multiple human cancers and is counterbalanced by CD47. Sci Transl Med. 2010; 2:63-94.


Chao, M. P., I. L. Weissman, and R. Majeti, The CD47-SIRPpathway in cancer immune evasion and potential therapeutic implications. Curr Opin Immunol, 2012. 24(2): p. 225-32.


Chautan, M., G. Chazal, F. Cecconi, P. Gruss, P. Golstein, Interdigital cell death can occur through a necrotic and caspase-independent pathway. Curr. Biol. 9 (1999) 967-970.


Cheung, Alexander S., Sandeep T. Koshy, Alexander G. Stafford, Maartje M C Bastings, and David J. Mooney. “Adjuvant-Loaded Subcellular Vesicles Derived From Disrupted Cancer Cells for Cancer Vaccination.” Small 12, no. 17 (2016): 2321-2333.


Chiang C L, Benencia F, Coukos G. Whole tumor antigen vaccines. Semin Immunol. 2010; 22:132-43.


Cho, Y., S. Challa, D. Moquin, R. Genga, T. D. Ray, M. Guildford, F. K.-M. Chan, Phosphorylation-driven assembly of the RIP1-RIP3 complex regulates programmed necrosis and virus-induced inflammation. Cell 137 (2009) 1112-1123.


Choi P. S. and Meyerson M. 2014. Targeted genomic rearrangements using CRISPR/Cas technology. Nature Communications 5:3728. doi:10.1038/ncomms4728


Cornelis, S., K. Kersse, N. Festjens, M. Lamkanfi, P. Vandenabeele, Inflammatory caspases: targets for novel therapies. Curr. Pharm. Des. 13 (2007) 367-385.


Curiel, Tyler J., et al. “Specific recruitment of regulatory T cells in ovarian carcinoma fosters immune privilege and predicts reduced survival.” Nature medicine 10.9 (2004): 942-949. PubMed PMID: 15322536.


Curran, E., et al., STING Pathway Activation Stimulates Potent Immunity against Acute Myeloid Leukemia. Cell Rep, 2016. 15(11): p. 2357-66.


Curran, Emily, Leticia Corrales, and Justin Kline. “Targeting the innate immune system as immunotherapy for acute myeloid leukemia.” Frontiers in oncology 5 (2015): 83.


Danial, Nika N., and Stanley J. Korsmeyer. “Cell death: critical control points.” Cell 116, no. 2 (2004): 205-219.


de Gruijl T D, van den Eertwegh A J, Pinedo H M, Scheper R J. Whole-cell cancer vaccination: from autologous to allogeneic tumor- and dendritic cell-based vaccines. Cancer Immunol Immunother. 2008; 57:1569-1577.


Degterev, A., J. Hitomi, M. Germscheid, I. L. Ch'en, O. Korkina, X. Teng, D. Abbott, G. D. Cuny, C. Yuan, G. Wagner, S. M. Hedrick, S. A. Gerber, A. Lugovskoy, J. Yuan, Identification of RIP1 kinase as a specific cellular target of necrostatins. Nat. Chem. Biol. 4 (2008) 313-321.


Degterev, A., Z. Huang, M. Boyce, Y. Li, P. Jagtap, N. Mizushima, G. D. Cuny, T. J. Mitchison, M. A. Moskowitz, J. Yuan, Chemical inhibitor of nonapoptotic cell death with therapeutic potential for ischemic brain injury. Nat. Chem. Biol. 1 (2005) 112-119.


Dhodapkar, Madhav V., and Kavita M. Dhodapkar. “Vaccines targeting cancer stem cells: are they within reach?.” Cancer journal (Sudbury, Mass.) 17, no. 5 (2011): 397.


Dranoff, G., et al., Vaccination with irradiated tumor cells engineered to secrete murine granulocyte-macrophage colony-stimulating factor stimulates potent, specific, and long-lasting anti-tumor immunity. Proc Natl Acad Sci USA, 1993. 90(8): p. 3539-43.


Dudek, A. M., et al., Immature, Semi-Mature, and Fully Mature Dendritic Cells: Toward a DC-Cancer Cells Interface That Augments Anticancer Immunity. Front Immunol, 2013. 4: p. 438.


Dunn, G. P., L. J. Old, and R. D. Schreiber, The immunobiology of cancer immunosurveillance and immunoediting. Immunity, 2004. 21(2): p. 137-48.


Dunn, Gavin P., et al. “Cancer immunoediting: from immunosurveillance to tumor escape.” Nature immunology 3.11 (2002): 991-998. PubMed PMID: 12407406.


Duprez, L., E. Wirawan, T. Vanden Berghe, P. Vandenabeele, “Major cell death pathways at a glance”, Microbes Infect., 11 (2009), pp. 1050-1062.


Earls J K, Jin S, Ye K. Mechanobiology of human pluripotent stem cells. Tissue Eng Part B Rev. 2013; 19:420-30.


Eder, C., Mechanisms of interleukin-1beta release. Immunobiology (2009).


Eggermont, Alexander M M. “Cancer Immunotherapy 2017 (Paris, France). Progress and challenges.”


Elliott, L. A., et al., Human Tumor-Infiltrating Myeloid Cells: Phenotypic and Functional Diversity. Front Immunol, 2017. 8: p. 86.


Elmore, Susan. “Apoptosis: a review of programmed cell death.” Toxicologic pathology 35, no. 4 (2007): 495-516.


Espert, L., M. Denizot, M. Grimaldi, V. Robert-Hebmann, B. Gay, M. Varbanov, P. Codogno, M. Biard-Piechaczyk, Autophagy is involved in T cell death after binding of HIV-1 envelope proteins to CXCR4. J. Clin. Invest. 116 (2006) 2161-2172.


Eyileten, Ceren, Kinga Majchrzak, Zofia Pilch, Katarzyna Tonecka, Joanna Mucha, Bartlomiej Taciak, Katarzyna Ulewicz et al. “Immune cells in cancer therapy and drug delivery.” Mediators of inflammation 2016 (2016).


Fadok, V. A., D. L. Bratton, L. Guthrie, P. M. Henson, Differential effects of apoptotic versus lysed cells on macrophage production of cytokines: role of proteases. J. Immunol. 166 (2001) 6847-6854.


Faherty, C. S., A. T. Maurelli, Staying alive: bacterial inhibition of apoptosis during infection. Trends Microbiol. 16 (2008) 173-180.


Fang, Ronnie H., Che-Ming J. Hu, Brian T. Luk, Weiwei Gao, Jonathan A. Copp, Yiyin Tai, Derek E. O'Connor, and Liangfang Zhang. “Cancer cell membrane-coated nanoparticles for anticancer vaccination and drug delivery.” Nano letters 14, no. 4 (2014): 2181-2188.


Feng, Mingye, James Y. Chen, Rachel Weissman-Tsukamoto, Jens-Peter Volkmer, Po Yi Ho, Kelly M. McKenna, Samuel Cheshier et al. “Macrophages eat cancer cells using their own calreticulin as a guide: roles of TLR and Btk.” Proceedings of the National Academy of Sciences 112, no. 7 (2015): 2145-2150.


Feng, S., Y. Yang, Y. Mei, L. Ma, D. E. Zhu, N. Hoti, M. Castanares, M. Wu, Cleavage of RIP3 inactivates its caspase-independent apoptosis pathway by removal of kinase domain. Cell. Signal. 19 (2007) 2056-2067.


Fernandes-Alnemri, T., J. W. Yu, P. Datta, J. Wu, E. S. Alnemri, AIM2 activates the inflammasome and cell death in response to cytoplasmic DNA. Nature 458 (2009) 509-513.


Festjens, N., T. Vanden Berghe, P. Vandenabeele, Necrosis, a well-orchestrated form of cell demise: signalling cascades, important mediators and concomitant immune response. Biochim. Biophys. Acta 1757 (2006) 1371-1387.


Festjens, N., T. Vanden Berghe, S. Cornelis, P. Vandenabeele, RIP1, a kinase on the crossroads of a cell's decision to live or die. Cell Death Differ. 14 (2007) 400-410.


Fink, S. L., B. T. Cookson, Caspase-1-dependent pore formation during pyroptosis leads to osmotic lysis of infected host macrophages. Cell Microbiol 8 (2006) 1812-1825.


Finn, Olivera J. “Cancer immunology.” New England Journal of Medicine 358, no. 25 (2008): 2704-2715.


Fong, Lawrence, Yafei Hou, Alberto Rivas, Claudia Benike, Alan Yuen, George A. Fisher, Mark M. Davis, and Edgar G. Engleman. “Altered peptide ligand vaccination with Flt3 ligand expanded dendritic cells for tumor immunotherapy.” Proceedings of the National Academy of Sciences 98, no. 15 (2001): 8809-8814.


Fuentes-Prior, P., G. S. Salvesen, The protein structures that shape caspase activity, specificity, activation and inhibition. Biochem. J. 384 (2004) 201-232.


Gaj, Thomas, Charles A. Gersbach, and Carlos F. Barbas III. “ZFN, TALEN, and CRISPR/Cas-based methods for genome engineering.” Trends in biotechnology 31, no. 7 (2013): 397-405.


Galluzzi, L, M. C. Maiuri, I. Vitale, H. Zischka, M. Castedo, L. Zitvogel, G. Kroemer, Cell death modalities: classification and pathophysiological implications. Cell Death Differ. 14 (2007) 1237-1243.


Galluzzi, L., C. Brenner, E. Morselli, Z. Touat, G. Kroemer, Viral control of mitochondrial apoptosis. PLoS Pathog. 4 (2008) e1000018.


Galon, Jecustom characterôme, Denis Franchimont, Naoki Hiroi, Gregory Frey, Antje Boettner, Monika Ehrhart-Bornstein, John J. O'Shea, George P. Chrousos, And Stefan R. Bornstein. “Gene profiling reveals unknown enhancing and suppressive actions of glucocorticoids on immune cells.” The FASEB journal 16, no. 1 (2002): 61-71.


Gameiro, Sofia R., Momodou L. Jammed, Max M. Wattenberg, Kwong Y. Tsang, Soldano Ferrone, and James W. Hodge. “Radiation-induced immunogenic modulation of tumor enhances antigen processing and calreticulin exposure, resulting in enhanced T-cell killing.” Oncotarget 5, no. 2 (2014): 403.


Gao, Lu, Kexin Chen, Qi Gao, Xiaodan Wang, Jian Sun, Yong-Guang Yang, “CD47 deficiency in tumor stroma promotes tumor progression by enhancing angiogenesis”, Oncotarget. 2017; 8:22406-22413. doi.org/10.18632/oncotarget.9899 (Jun. 7, 2016).


Garg, Abhishek D., Sanne Elsen, Dmitri V. Krysko, Peter Vandenabeele, Peter de Witte, and Patrizia Agostinis. “Resistance to anticancer vaccination effect is controlled by a cancer cell-autonomous phenotype that disrupts immunogenic phagocytic removal.” Oncotarget 6, no. 29 (2015): 26841.


Geller, L. T., et al., Potential role of intratumor bacteria in mediating tumor resistance to the chemotherapeutic drug gemcitabine. Science, 2017. 357(6356): p. 1156-1160.


Gopalakrishnan, V., et al., Gut microbiome modulates response to anti-PD-1 immunotherapy in melanoma patients. Science, 2018. 359(6371): p. 97-103.


Gregoire, M., C. Ligeza-Poisson, N. Juge-Morineau, and R. Spisek. “Anti-cancer therapy using dendritic cells and apoptotic tumour cells: pre-clinical data in human mesothelioma and acute myeloid leukaemia.” Vaccine 21, no. 7-8 (2003): 791-794.


Guillerey, C., N. D. Huntington, and M. J. Smyth, Targeting natural killer cells in cancer immunotherapy. Nat Immunol, 2016. 17(9): p. 1025-36.


Gul, N., et al., Macrophages eliminate circulating tumor cells after monoclonal antibody therapy. J Clin Invest, 2014. 124(2): p. 812-23.


Haining, W. Nicholas. “Abstract SY40-01: In vivo genetic screens for genes that modulate tumor immunity.” (2018): SY40-01.


Halestrap, A. P., C. P. Connern, E. J. Griffiths, P. M. Kerr, Cyclosporin A binding to mitochondrial cyclophilin inhibits the permeability transition pore and protects hearts from ischaemia/reperfusion injury. Mol. Cell. Biochem. 174 (1997) 167-172.


Hannani, Dalil, Antonella Sistigu, Oliver Kepp, Lorenzo Galluzzi, Guido Kroemer, and Laurence Zitvogel. “Prerequisites for the antitumor vaccine-like effect of chemotherapy and radiotherapy.” The Cancer Journal 17, no. 5 (2011): 351-358.


Hayday, A., F. Kyle, O. Nussbaumer, D. Enting, and M. L. Iannitto. “51: How T cells may distinguish stress from normality in an epithelium.” European Journal of Cancer 50 (2014): S13.


He, S., L. Wang, L. Miao, T. Wang, F. Du, L. Zhao, X. Wang, Receptor interacting protein kinase-3 determines cellular necrotic response to TNF-alpha. Cell 137 (2009) 1100-1111.


He, X., et al., Antitumor efficacy induced by a B16F10 tumor cell vaccine treated with mitoxantrone alone or in combination with reserpine and verapamil in mice. Exp Ther Med, 2011. 2(5): p. 911-916.


Hellerstedt B A, Pienta K J. The current state of hormonal therapy for prostate cancer. CA Cancer J Clin. 2002; 52:154-79.


Helmy, Karim Y., Shyam A. Patel, George R. Nahas, and Pranela Rameshwar. “Cancer immunotherapy: accomplishments to date and future promise.” Therapeutic delivery 4, no. 10 (2013): 1307-1320.


Herzog, Karl-Heinz, Miriam J. Chong, Manuela Kapsetaki, James I. Morgan, and Peter J. McKinnon. “Requirement for Atm in ionizing radiation-induced cell death in the developing central nervous system.” Science 280, no. 5366 (1998): 1089-1091.


Hirohashi, Yoshihiko, Toshihiko Torigoe, Satoko Inoda, Akari Takahashi, Rena Morita, Satoshi Nishizawa, Yasuaki Tamura, Hiromu Suzuki, Minoru Toyota, and Noriyuki Sato. “Immune response against tumor antigens expressed on human cancer stem-like cells/tumor-initiating cells.” Immunotherapy 2, no. 2 (2010): 201-211.


Holler, N., R. Zaru, O. Micheau, M. Thome, A. Attinger, S. Valitutti, J. L. Bodmer, P. Schneider, B. Seed, J. Tschopp, Fas triggers an alternative, caspase-8-independent cell death pathway using the kinase RIP as effector molecule. Nat. Immunol. 1 (2000) 489-495.


Inoda, Satoko, Yoshihiko Hirohashi, Toshihiko Torigoe, Rena Morita, Akari Takahashi, Hiroko Asanuma, Munehide Nakatsugawa et al. “Cytotoxic T lymphocytes efficiently recognize human colon cancer stem-like cells.” The American journal of pathology 178, no. 4 (2011): 1805-1813.


Italiani, P. and D. Boraschi, From Monocytes to M1/M2 Macrophages: Phenotypical vs. Functional Differentiation. Front Immunol, 2014. 5: p. 514.


Jagtap, P., C. Szabo, Poly(ADP-ribose) polymerase and the therapeutic effects of its inhibitors. Nat. Rev. Drug Discov. 4 (2005) 421-440.


Jaiswal, Siddhartha, and Irving L. Weissman. “Hematopoietic stem and progenitor cells and the inflammatory response.” Annals of the New York Academy of Sciences 1174, no. 1 (2009): 118-121.


Jayaraman, Subhadra, “Cancer and the Immune System: Deciphering the Relationship” (Mar. 14, 2017), blog.addgene.org/cancer-and-the-immune-system-deciphering-the-relationship.


Jin S, Ellis E, Veetil J V, Yao H, Ye K. Visualization of human immunodeficiency virus protease inhibition using a novel Forster resonance energy transfer molecular probe. Biotechnol Prog. 2011; 27:1107-14.


Jin S, Veetil J V, Garrett J R, Ye K. Construction of a panel of glucose indicator proteins for continuous glucose monitoring. Biosens Bioelectron. 2011; 26:3427-31.


Jin S, Yao H, Krisanarungson P, Haukas A, Ye K. Porous membrane substrates offer better niches to enhance the Wnt signaling and promote human embryonic stem cell growth and differentiation. Tissue Eng Part A. 2012; 18:1419-30.


Jin, Sha, Huantong Yao, Jennifer L. Weber, Zara K. Melkoumian, and Kaiming Ye. “A synthetic, xeno-free peptide surface for expansion and directed differentiation of human induced pluripotent stem cells.” PloS one 7, no. 11 (2012): e50880; Sha, Jin, Huantong Yao, Jennifer L. Weber, Zara K. Melkoumian, and Kaiming Ye. “Correction: A Synthetic, Xeno-Free Peptide Surface for Expansion and Directed Differentiation of Human Induced Pluripotent Stem Cells.” PLoS One 8, no. 2 (2013).


Jin S, Ye K. Targeted drug delivery for breast cancer treatment. Recent Pat Anticancer Drug Discov. 2013; 8:143-53.


Johnston, J. B., J. W. Barrett, S. H. Nazarian, M. Goodwin, D. Ricciuto, G. Wang, G. McFadden, A poxvirus-encoded pyrin domain protein interacts with ASC-1 to inhibit host inflammatory and apoptotic responses to infection. Immunity 23 (2005) 587-598.


Jones, K. R., L. W. Elmore, C. Jackson-Cook, G. Demasters, L. F. Povirk, S. E. Holt, and D. A. Gewirtz. “p53-Dependent accelerated senescence induced by ionizing radiation in breast tumour cells.” International journal of radiation biology 81, no. 6 (2005): 445-458.


Joyce, Johanna A., and Douglas T. Fearon. “T cell exclusion, immune privilege, and the tumor microenvironment.” Science348, no. 6230 (2015): 74-80.


Jung, C. H., C. B. Jun, S. H. Ro, Y. M. Kim, N. M. Otto, J. Cao, M. Kundu, D. H. Kim, ULK-Atg13-FIP200 complexes mediate mTOR signaling to the autophagy machinery. Mol. Biol. Cell 20 (2009) 1992-2003.


Kalai, M., G. Van Loo, T. Vanden Berghe, A. Meeus, W. Burm, X. Saelens, P. Vandenabeele, Tipping the balance between necrosis and apoptosis in human and murine cells treated with interferon and dsRNA. Cell Death Differ. 9 (2002) 981-994.


Kazemi, Tohid, Vahid Younesi, Farhad Jadidi-Niaragh, and Mehdi Yousefi. “Immunotherapeutic approaches for cancer therapy: an updated review.” Artificial cells, nanomedicine, and biotechnology 44, no. 3 (2016): 769-779.


Keirsse, J., et al., Exploiting tumor-associated dendritic cell heterogeneity for novel cancer therapies. J Leukoc Biol, 2017. 102(2): p. 317-324.


Kennedy M K, Glaccum M, Brown S N, Butz EA, Viney J L, Embers M et al. Reversible defects in natural killer and memory CD8 T cell lineages in interleukin 15-deficient mice. J Exp Med 2000; 191: 771-780.


Kenneth C. Valkenburg and Bart O. Williams. 2011. Mouse models of prostate cancer. Prostate Cancer Volume 2011,


Kershaw M H and Smyth M J. 2013. Making macrophages eat cancers. Immunology. Science. 341(6141):41-2.


Kershaw, Michael H., and Mark J. Smyth. “Making Macrophages Eat Cancer.” Science 341, no. 6141 (2013): 41-42.


Kim, M. J., et al., Association of CD47 with natural killer cell-mediated cytotoxicity of head-and-neck squamous cell carcinoma lines. Tumour Biol, 2008. 29(1): p. 28-34.


Kleeff, Jorg, Murray Korc, Minoti Apte, Carlo La Vecchia, Colin D. Johnson, Andrew V. Biankin, Rachel E. Neale et al. “Pancreatic cancer.” Nature reviews Disease primers 2 (2016): 16022.


Koh, Eunee, Yoosoo Yang, and In-San Kim, “Exosome-SIRP-α, a CD47 blockade increases cancer cell phagocytosis”, ISEV2017 OT1.05 (May 15, 2017), www.rug.nl/research/portal/files/51552775/Abstract_Book_ISEV2017.pdf.


Koike, M., M. Shibata, M. Tadakoshi, K. Gotoh, M. Komatsu, S. Waguri, N. Kawahara, K. Kuida, S. Nagata, E. Kominami, K. Tanaka, Y. Uchiyama, Inhibition of autophagy prevents hippocampal pyramidal neuron death after hypoxic-ischemic injury. Am. J. Pathol. 172 (2008) 454-469.


Kooreman, N. G., et al., Autologous iPSC-Based Vaccines Elicit Anti-tumor Responses In Vivo. Cell Stem Cell, 2018. 22(4): p. 501-513 e7.


Kosta, A., C. Roisin-Bouffay, M. F. Luciani, G. P. Otto, R. H. Kessin, P. Golstein, Autophagy gene disruption reveals a non-vacuolar cell death pathway in Dictyostelium. J. Biol. Chem. 279 (2004) 48404-48409.


Kroemer, G., et al., Immunogenic cell death in cancer therapy. Annu Rev Immunol, 2013. 31: p. 51-72.


Kroemer, G., L. Galluzzi, C. Brenner, Mitochondrial membrane permeabilization in cell death. Physiol. Rev. 87 (2007) 99-163.


Kroemer, Guido, Laura Senovilla, Lorenzo Galluzzi, Fabrice André, and Laurence Zitvogel. “Natural and therapy-induced immunosurveillance in breast cancer.” Nature medicine 21, no. 10 (2015): 1128.


Kroemer, Guido, Lorenzo Galluzzi, Oliver Kepp, and Laurence Zitvogel. “Immunogenic cell death in cancer therapy.” Annual review of immunology 31 (2013): 51-72.


Kruger, C., T. F. Greten, and F. Korangy, Immune based therapies in cancer. Histol Histopathol, 2007. 22(6): p. 687-96.


Krysko, D. V., G. Brouckaert, M. Kalai, P. Vandenabeele, K. D'Herde, Mechanisms of internalization of apoptotic and necrotic L929 cells by a macrophage cell line studied by electron microscopy. J. Morphol. 258 (2003) 336-345.


Krysko, D. V., P. Vandenabeele, From regulation of dying cell engulfment to development of anti-cancer therapy. Cell Death Differ. 15 (2008) 29-38.


Kumai, T., et al., Cancer immunotherapy: moving forward with peptide T cell vaccines. Curr Opin Immunol, 2017. 47: p. 57-63.


Kumar, V., et al., The Nature of Myeloid-Derived Suppressor Cells in the Tumor Microenvironment. Trends Immunol, 2016. 37(3): p. 208-220.


Labbe, K., M. Saleh, Cell death in the host response to infection. Cell Death Differ. 15 (2008) 1339-1349.


LaCasse, E. C., D. J. Mahoney, H. H. Cheung, S. Plenchette, S. Baird, R. G. Korneluk, IAP-targeted therapies for cancer. Oncogene 27 (2008) 6252-6275.


Lamkanfi, M., T. D. Kanneganti, P. Van Damme, T. Vanden Berghe, I. Vanoverberghe, J. Vandekerckhove, P. Vandenabeele, K. Gevaert, G. Nunez, Targeted peptidecentric proteomics reveals caspase-7 as a substrate of the caspase-1 inflammasomes. Mol. Cell Proteomics 7 (2008) 2350-2363.


Lane-Reticker, Sarah K., Robert T. Manguso, and W. Nicholas Haining. “Pooled in vivo screens for cancer immunotherapy target discovery.” (2018): 167-170.


Laporte, C., A. Kosta, G. Klein, L. Aubry, D. Lam, E. Tresse, M.F. Luciani, P. Golstein, A necrotic cell death model in a protist. Cell Death Differ. 14 (2007) 266-274.


Lara-Tejero, M., F. S. Sutterwala, Y. Ogura, E. P. Grant, J. Bertin, A. J. Coyle, R. A. Flavell, J. E. Galan, Role of the caspase-1 inflammasome in Salmonella typhimurium pathogenesis. J. Exp. Med. 203 (2006) 1407-1412.


Lau, Cia-Hin, and Yousin Suh. “In vivo genome editing in animals using AAV-CRISPR system: applications to translational research of human disease.” F1000Research 6 (2017).


Lavender, Kerry J., Wendy W. Pang, Ronald J. Messer, Amanda K. Duley, Brent Race, Katie Phillips, Dana Scott et al. “BLT-humanized C57BL/6 Rag2−/−γc−/−CD47−/−mice are resistant to GVHD and develop B and T cell immunity to HIV infection.” Blood (2013): blood-2013.


Lee, C. Y., E. H. Baehrecke, Steroid regulation of autophagic programmed cell death during development. Development 128 (2001) 1443-1455.


Lee, Daniel W., et al. “T cells expressing CD19 chimeric antigen receptors for acute lymphoblastic leukaemia in children and young adults: a phase 1 dose-escalation trial.” The Lancet 385.9967 (2015): 517-528. PubMed PMID: 25319501.


Lee, S. and K. Margolin, Tumor-infiltrating lymphocytes in melanoma. Curr Oncol Rep, 2012. 14(5): p. 468-74.


Lehmann, B., et al., Tumor location determines tissue-specific recruitment of tumor-associated macrophages and antibody-dependent immunotherapy response. Sci Immunol, 2017. 2(7).


Li, P., H. Allen, S. Banerjee, S. Franklin, L. Herzog, C. Johnston, J. McDowell, M. Paskind, L. Rodman, J. Salfeld, et al., Mice deficient in IL-1 beta-converting enzyme are defective in production of mature IL-1 beta and resistant to endotoxic shock. Cell 80 (1995) 401-411.


Li, T., et al., Antitumor Activity of cGAMP via Stimulation of cGAS-cGAMP-STING-IRF3 Mediated Innate Immune Response. Sci Rep, 2016. 6: p. 19049.


Li, Ting, Bo Liu, Martin H. Spalding, Donald P. Weeks, and Bing Yang. “High-efficiency TALEN-based gene editing produces disease-resistant rice.” Nature biotechnology 30, no. 5 (2012): 390.


Liang, Puping, Yanwen Xu, Xiya Zhang, Chenhui Ding, Rui Huang, Zhen Zhang, Jie Lv et al. “CRISPR/Cas9-mediated gene editing in human tripronuclear zygotes.” Protein & cell 6, no. 5 (2015): 363-372.


Liang, Xudong. “Development of a novel breast cancer vaccine.” PhD diss., State University of New York at Binghamton, 2015.


Lim, S. Y., S. M. Davidson, M. M. Mocanu, D. M. Yellon, C. C. Smith, The cardioprotective effect of necrostatin requires the cyclophilin-D component of the mitochondrial permeability transition pore. Cardiovasc Drugs Ther. 21 (2007) 467-469.


Lin, Y., A. Devin, Y. Rodriguez, Z. G. Liu, Cleavage of the death domain kinase RIP by caspase-8 prompts TNF-induced apoptosis. Genes Dev. 13 (1999) 2514-2526.


Lin, Y., S. Choksi, H. M. Shen, Q. F. Yang, G. M. Hur, Y. S. Kim, J. H. Tran, S. A. Nedospasov, Z. G. Liu, Tumor necrosis factor-induced nonapoptotic cell death requires receptor-interacting protein-mediated cellular reactive oxygen species accumulation. J. Biol. Chem. 279 (2004) 10822-10828.


Liu, Xiaojuan, Yang Pu, Kyle Cron, Liufu Deng, Justin Kline, William A. Frazier, Hairong Xu, Hua Peng, Yang-Xin Fu, and Meng Michelle Xu. “CD47 blockade triggers T cell-mediated destruction of immunogenic tumors.” Nature medicine 21, no. 10 (2015): 1209.


Locher, Clara, Rosa Conforti, Laetitia Aymeric, Yuting Ma, Takahiro Yamazaki, Sylvie Rusakiewicz, Antoine Tesnière et al. “Desirable cell death during anticancer chemotherapy.” Annals of the New York Academy of Sciences 1209, no. 1 (2010): 99-108.


Lombardo, Angelo, Pietro Genovese, Christian M. Beausejour, Silvia Colleoni, Ya-Li Lee, Kenneth A. Kim, Dale Ando et al. “Gene editing in human stem cells using zinc finger nucleases and integrase-defective lentiviral vector delivery.” Nature biotechnology 25, no. 11 (2007): 1298.


Lowry, L. E. and W. A. Zehring, Potentiation of Natural Killer Cells for Cancer Immunotherapy: A Review of Literature. Front Immunol, 2017. 8: p. 1061.


Lum, J. J., D. E. Bauer, M. Kong, M. H. Harris, C. Li, T. Lindsten, C. B. Thompson, Growth factor regulation of autophagy and cell survival in the absence of apoptosis. Cell 120 (2005) 237-248.


Ma, Y., V. Temkin, H. Liu, R. M. Pope, NF-kappaB protects macrophages from lipopolysaccharide-induced cell death: the role of caspase 8 and receptor-interacting protein. J. Biol. Chem. 280 (2005) 41827-41834.


Ma, Yuting, Laetitia Aymeric, Clara Locher, Guido Kroemer, and Laurence Zitvogel. “The dendritic cell-tumor cross-talk in cancer.” Current opinion in immunology 23, no. 1 (2011): 146-152.


Ma, Yuting, Oliver Kepp, François Ghiringhelli, Lionel Apetoh, Laetitia Aymeric, Clara Locher, Antoine Tesniere et al. “Chemotherapy and radiotherapy: cryptic anticancer vaccines.” In Seminars in immunology, vol. 22, no. 3, pp. 113-124. Academic Press, 2010.


Mackall, Crystal L., Melinda S. Merchant, and Terry J. Fry. “Immune-based therapies for childhood cancer.” Nature reviews Clinical oncology 11, no. 12 (2014): 693.


Maeng, H., M. Terabe, and J. A. Berzofsky, Cancer vaccines: translation from mice to human clinical trials. Curr Opin Immunol, 2018. 51: p. 111-122.


Maiuri, M. C., E. Zalckvar, A. Kimchi, G. Kroemer, Self-eating and self-killing: crosstalk between autophagy and apoptosis. Nat. Rev. Mol. Cell Biol. 8 (2007) 741-752.


Majeti, R., Chao, M. P., Alizadeh, A. A., Pang, W. W., Jaiswal, S., Gibbs, K. D. Jr, van Rooijen, N., and Weissman, I. L. 2009. CD47 is an adverse prognostic factor and therapeutic antibody target on human acute myeloid leukemia stem cells. Cell 138, 286-299.


Manguso, Robert T., Hans W. Pope, Margaret D. Zimmer, Flavian D. Brown, Kathleen B. Yates, Brian C. Miller, Natalie B. Collins et al. “In vivo CRISPR screening identifies Ptpn2 as a cancer immunotherapy target.” Nature 547, no. 7664 (2017): 413.


Manguso, Robert T., Hans W. Pope, Margaret D. Zimmer, Flavian D. Brown, Kathleen B. Yates, Brian C. Miller, Natalie B. Collins et al. “In vivo CRISPR screening identifies Ptpn2 as a target for cancer immunotherapy.” Cancer Research AACR (2017): Abstract 1019.


Marcucci, Fabrizio, Cristiano Rumio, Angelo Corti, “Tumor cell-associated immune checkpoint molecules—Drivers of malignancy and stemness”, Biochimica et Biophysica Acta (BBA)—Reviews on Cancer, Volume 1868, Issue 2, December 2017, Pages 571-583.


Marguet, D., M. F. Luciani, A. Moynault, P. Williamson, G. Chimini, Engulfment of apoptotic cells involves the redistribution of membrane phosphatidylserine on phagocyte and prey. Nat Cell Biol 1 (1999) 454-456.


Matsui, Y., H. Takagi, X. Qu, M. Abdellatif, H. Sakoda, T. Asano, B. Levine, J. Sadoshima, Distinct roles of autophagy in the heart during ischemia and reperfusion: roles of AMP-activated protein kinase and Beclin 1 in mediating autophagy. Circ. Res. 100 (2007) 914-922.


McCracken, Melissa N., Adriel C. Cha, and Irving L. Weissman. “Molecular pathways: activating T cells after cancer cell phagocytosis from blockade of CD47” Don't eat me” signals.” Clinical cancer research (2015): clincanres-2520.


McKenna, E., et al., Persistent DNA damage caused by low levels of mitomycin C induces irreversible cell senescence. Cell Cycle, 2012. 11(16): p. 3132-40.


Melssen, M. and C. L. Slingluff, Jr., Vaccines targeting helper T cells for cancer immunotherapy. Curr Opin Immunol, 2017. 47: p. 85-92.


Ménard, Cédric, François Martin, Lionel Apetoh, Florence Bouyer, and François Ghiringhelli. “Cancer chemotherapy: not only a direct cytotoxic effect, but also an adjuvant for antitumor immunity.” Cancer Immunology, Immunotherapy 57, no. 11 (2008): 1579-1587.


Merad, M., et al., The dendritic cell lineage: ontogeny and function of dendritic cells and their subsets in the steady state and the inflamed setting. Annu Rev Immunol, 2013. 31: p. 563-604.


Merritt, Anita J., Terence D. Allen, Christopher S. Potten, and John A. Hickman. “Apoptosis in small intestinal epithelia from p53-null mice: evidence for a delayed, p53-indepdendent G2/M-associated cell death after γ-irradiation.” Oncogene 14, no. 23 (1997): 2759.


Michallet, M. C., E. Meylan, M. A. Ermolaeva, J. Vazquez, M. Rebsamen, J. Curran, H. Poeck, M. Bscheider, G. Hartmann, M. Konig, U. Kalinke, M. Pasparakis, J. Tschopp, TRADD protein is an essential component of the RIG-like helicase antiviral pathway. Immunity 28 (2008) 651-661.


Mittal, Deepak, Matthew M. Gubin, Robert D. Schreiber, and Mark J. Smyth. “New insights into cancer immunoediting and its three component phases—elimination, equilibrium and escape.” Current opinion in immunology 27 (2014): 16-25.


Mizushima, N., A. Kuma, Y. Kobayashi, A. Yamamoto, M. Matsubae, T. Takao, T. Natsume, Y. Ohsumi, T. Yoshimori, Mouse Apg16L, a novel WD-repeat protein, targets to the autophagic isolation membrane with the Apg12-Apg5 conjugate. J. Cell Sci. 116 (2003) 1679-1688.


Morris J C, et al.2014. Vaccination with tumor cells expressing IL-15 and IL-15Rα inhibits murine breast and prostate cancer. Gene Therapy. 21: 393-401.


Movahedi, K., et al., Different tumor microenvironments contain functionally distinct subsets of macrophages derived from Ly6C(high) monocytes. Cancer Res, 2010. 70(14): p. 5728-39.


Munn, D. H. and V. Bronte, Immune suppressive mechanisms in the tumor microenvironment. Curr Opin Immunol, 2016. 39: p. 1-6.


Muranen, Taru, and Joan S. Brugge. “Moving Closer To Victory.” In Cold Spring Harbor symposia on quantitative biology, vol. 81, pp. 281-288. Cold Spring Harbor Laboratory Press, 2016.


Muthna, Darina, Tomas Soukup, Jirina Vavrova, Jaroslav Mokry, Jana Cmielova, Benjamin Visek, Alena Jiroutova et al. “Irradiation of adult human dental pulp stem cells provokes activation of p53, cell cycle arrest, and senescence but not apoptosis.” Stem cells and development 19, no. 12 (2010): 1855-1862.


Naiyer A. Rizvi, 2*† Matthew D. Hellmann,1,2* Alexandra Snyder,1,2,3* Pia Kvistborg,4, et al., Mutational landscape determines sensitivity to PD-1 blockade in non-small cell lung cancer. CANCER IMMUNOLOGY, 2015. VOL 34(8 ISSUE 6230): p. 124-128.


Nakagawa, T., S. Shimizu, T. Watanabe, O. Yamaguchi, K. Otsu, H. Yamagata, H. Inohara, T. Kubo, Y. Tsujimoto, Cyclophilin D-dependent mitochondrial permeability transition regulates some necrotic but not apoptotic cell death. Nature 434 (2005) 652-658.


Naujokat, Cord. “Monoclonal antibodies against human cancer stem cells.” Immunotherapy 6, no. 3 (2014): 290-308.


Neagu, Martha R., Maria Carmela Speranza, Robert T. Manguso, Sean E. Lawler, Gordon J. Freeman, John Doench, Arlene H. Sharpe, and W. Nicholas Haining. “Immu-28. Defining Molecular Mechanisms Of Resistance To Glioblastoma (gbm) Immunity Using A Novel Crispr/cas9 In Vivo Loss-of-function Screening Platform.” Neuro-oncology19, no. suppl_6 (2017): vi118-vi118.


Neagu, Martha R., Robert T. Manguso, Hans Pope, Maria C. Speranza, Gordon J. Freeman, John Doench, Arlene H. Sharpe, and William Nicholas Haining. “Defining molecular mechanisms of resistance to glioblastoma immunity using a novel CRISPR/Cas9 in vivo loss-of-function screening platform.” (2017): 417-417.


Neumar, R. W., Molecular mechanisms of ischemic neuronal injury. Ann. Emerg. Med. 36 (2000) 483-506.


Ngo, M., et al., Antibody Therapy Targeting CD47 and CD271 Effectively Suppresses Melanoma Metastasis in Patient-Derived Xenografts. Cell Rep, 2016. 16(6): p. 1701-1716.


Nilsson, A. and P. A. Oldenborg, CD47 promotes both phosphatidylserine-independent and phosphatidylserine-dependent phagocytosis of apoptotic murine thymocytes by non-activated macrophages. Biochem Biophys Res Commun, 2009. 387(1): p. 58-63.


Obeid, Michel, Antoine Tesniere, François Ghiringhelli, Gian Maria Fimia, Lionel Apetoh, Jean-Luc Perfettini, Maria Castedo et al. “Calreticulin exposure dictates the immunogenicity of cancer cell death.” Nature medicine 13, no. 1 (2007): 54.


Oldenborg P A, Zheleznyak A, Fang Y F, Lagenaur C F, Gresham H D, Lindberg F P. Role of CD47 as a marker of self on red blood cells. Science. 2000; 288:2051-4.


Ostrand-Rosenberg, S. and P. Sinha, Myeloid-derived suppressor cells: linking inflammation and cancer. J Immunol, 2009. 182(8): p. 4499-506.


Ott, P. A., et al., An immunogenic personal neoantigen vaccine for patients with melanoma. Nature, 2017. 547(7662): p. 217-221.


Overwijk, W. W. and N. P. Restifo, B16 as a mouse model for human melanoma. Curr Protoc Immunol, 2001. Chapter 20: p. Unit 20 1.


Overwijk, W. W., Cancer vaccines in the era of checkpoint blockade: the magic is in the adjuvant. Curr Opin Immunol, 2017. 47: p. 103-109.


Pachynski, R. K., et al., Evaluation of Tumor-infiltrating Leukocyte Subsets in a Subcutaneous Tumor Model. J Vis Exp, 2015(98).


Palucka, Karolina, and Jacques Banchereau. “Cancer immunotherapy via dendritic cells.” Nature Reviews Cancer 12.4 (2012): 265-277. PubMed PMID: 22437871. PubMed Central PMCID: PMC3433802.


Parajuli, N., et al., Infiltrating CD11b+CD11c+ cells have the potential to mediate inducible nitric oxide synthase-dependent cell death in mammary carcinomas of HER-2/neu transgenic mice. Int J Cancer, 2010. 126(4): p. 896-908.


Pattingre, S., A. Tassa, X. Qu, R. Garuti, X. H. Liang, N. Mizushima, M. Packer, M. D. Schneider, B. Levine, Bcl-2 antiapoptotic proteins inhibit Beclin 1-dependent autophagy. Cell 122 (2005) 927-939.


Pattingre, S., L. Espert, M. Biard-Piechaczyk, P. Codogno, Regulation of macroautophagy by mTOR and Beclin 1 complexes. Biochimie 90 (2008) 313-323.


Peinado, Héctor, Haiying Zhang, Irina R. Matei, Bruno Costa-Silva, Ayuko Hoshino, Goncalo Rodrigues, Bethan Psaila et al. “Pre-metastatic niches: organ-specific homes for metastases.” Nature Reviews Cancer 17, no. 5 (2017): 302.


Penaloza, C., L. Lin, R. A. Lockshin, Z. Zakeri, Cell death in development: shaping the embryo. Histochem. Cell Biol. 126 (2006) 149-158.


Peter, M. E., P. H. Krammer, The CD95(APO-1/Fas) DISC and beyond. Cell Death Differ. 10 (2003) 26-35.


Pobezinskaya, Y. L., Y. S. Kim, S. Choksi, M. J. Morgan, T. Li, C. Liu, Z. Liu, The function of TRADD in signaling through tumor necrosis factor receptor 1 and TRIF-dependent toll-like receptors. Nat. Immunol. 9 (2008) 1047-1054.


Portt, Liam, Grant Norman, Caitlin Clapp, Matthew Greenwood, and Michael T. Greenwood. “Anti-apoptosis and cell survival: a review.” Biochimica et Biophysica Acta (BBA)-Molecular Cell Research 1813, no. 1 (2011): 238-259. www.sciencedirect.com/science/article/pii/S0167488910002764


Pulendran B, Dillon S, Joseph C, Curiel T, Banchereau J, Mohamadzadeh M. Dendritic cells generated in the presence of GM-CSF plus IL-15 prime potent CD8+ Tc1 responses in vivo. Eur J Immunol 2004; 34: 66-73.


Qu, X., Z. Zou, Q. Sun, K. Luby-Phelps, P. Cheng, R. N. Hogan, C. Gilpin, B. Levine, Autophagy gene-dependent clearance of apoptotic cells during embryonic development. Cell 128 (2007) 931-946.


Reed, John C. “Bcl-2 and the regulation of programmed cell death.” The Journal of cell biology 124, no. 1-2 (1994): 1-6.


Richards, D. M., J. Hettinger, and M. Feuerer, Monocytes and macrophages in cancer: development and functions. Cancer Microenviron, 2013. 6(2): p. 179-91.


Riedl, S. J., G. S. Salvesen, The apoptosome: signalling platform of cell death. Nat. Rev. Mol. Cell Biol. 8 (2007) 405-413.


Roh, D. S., et al., DNA cross-linking, double-strand breaks, and apoptosis in corneal endothelial cells after a single exposure to mitomycin C. Invest Ophthalmol Vis Sci, 2008. 49(11): p. 4837-43.


Roisin-Bouffay, C., M. F. Luciani, G. Klein, J. P. Levraud, M. Adam, P. Golstein, Developmental cell death in dictyostelium does not require paracaspase. J. Biol. Chem. 279 (2004) 11489-11494.


Roy, A., et al., Increased efficiency of gamma-irradiated versus mitomycin C-treated feeder cells for the expansion of normal human cells in long-term cultures. J Hematother Stem Cell Res, 2001. 10(6): p. 873-80.


Sahin, U., et al., Personalized RNA mutanome vaccines mobilize poly-specific therapeutic immunity against cancer. Nature, 2017. 547(7662): p. 222-226.


Sallets, Adrienne, Sophie Robinson, Adel Kardosh, and Ronald Levy. “Enhancing immunotherapy of STING agonist for lymphoma in preclinical models.” Blood advances 2, no. 17 (2018): 2230-2241.


Salvesen, G. S., S. J. Riedl, Caspase mechanisms. Adv. Exp. Med. Biol. 615 (2008) 13-23.


Sarkar, A., M. W. Hall, M. Exline, J. Hart, N. Knatz, N. T. Gatson, M. D. Wewers, Caspase-1 regulates Escherichia coli sepsis and splenic B cell apoptosis independently of interleukin-1beta and interleukin-18. Am. J. Respir. Crit. Care Med. 174 (2006) 1003-1010.


Saxena, Mansi, Sreekumar Balan, Vladimir Roudko, and Nina Bhardwaj. “Towards superior dendritic-cell vaccines for cancer therapy.” Nat. Biomed. Eng. 2 (2018): 341-346.


Scarlatti, F., R. Granata, A. J. Meijer, P. Codogno, Does autophagy have a license to kill mammalian cells? Cell Death Differ. 16 (2009) 12-20.


Scarlett, U. K., et al., Ovarian cancer progression is controlled by phenotypic changes in dendritic cells. J Exp Med, 2012. 209(3): p. 495-506.


Schanne, F. A., Agnes B. Kane, Ellora E. Young, and John L. Farber. “Calcium dependence of toxic cell death: a final common pathway.” Science 206, no. 4419 (1979): 700-702.


Scheffer, S. R., et al., Apoptotic, but not necrotic, tumor cell vaccines induce a potent immune response in vivo. Int J Cancer, 2003. 103(2): p. 205-11.


Schroder, K., D. A. Muruve, J. Tschopp, Innate immunity: cytoplasmic DNA sensing by the AIM2 inflammasome. Curr. Biol. 19 (2009) R262-265.


Scott, Andrew M., Jedd D. Wolchok, and Lloyd J. Old. “Antibody therapy of cancer.” Nature Reviews Cancer 12.4 (2012): 278-287. PubMed PMID: 22437872.


Shao, W., G. Yeretssian, K. Doiron, S. N. Hussain, M. Saleh, The caspase-1 digestome identifies the glycolysis pathway as a target during infection and septic shock. J. Biol. Chem. 282 (2007) 36321-36329.


Sharma, Padmanee, Siwen Hu-Lieskovan, Jennifer A. Wargo, and Antoni Ribas. “Primary, adaptive, and acquired resistance to cancer immunotherapy.” Cell 168, no. 4 (2017): 707-723.


Shen, Bin, Jun Zhang, Hongya Wu, Jianying Wang, Ke Ma, Zheng Li, Xueguang Zhang, Pumin Zhang, and Xingxu Huang. “Generation of gene-modified mice via Cas9/RNA-mediated gene targeting.” Cell research 23, no. 5 (2013): 720.


Shiao, Stephen L., A. Preethi Ganesan, Hope S. Rugo, and Lisa M. Coussens. “Immune microenvironments in solid tumors: new targets for therapy.” Genes & development 25, no. 24 (2011): 2559-2572.


Sick, E., et al., CD47 update: a multifaceted actor in the tumour microenvironment of potential therapeutic interest. Br J Pharmacol, 2012. 167(7): p. 1415-30.


Smyth, Mark J., Shin Foong Ngiow, Antoni Ribas, and Michele W L Teng. “Combination cancer immunotherapies tailored to the tumour microenvironment.” Nature reviews Clinical oncology 13, no. 3 (2016): 143.


Sockolosky, J. T., et al., Durable antitumor responses to CD47 blockade require adaptive immune stimulation. Proc Natl Acad Sci USA, 2016. 113(19): p. E2646-54.


Sofia R. Gameiro, J. A. C., Jack P. Higgins, David Apelian, James W. Hodge, Exploitation of differential homeostatic proliferation of T-cell subsets following chemotherapy to enhance the efficacy of vaccine-mediated antitumor responses. Cancer Immunol Immunother, 2011.


Sofia R. Gameiro1, M. L. J., Max M. Wattenberg1, Kwong Y. Tsang1, and a. J. W. H. Soldano Ferrone, Radiation-induced immunogenic modulation of tumor enhances antigen processing and calreticulin exposure, resulting in enhanced T-cell killing. Oncotarget, 2013. 5.


Sokolowska, O. and D. Nowis, STING Signaling in Cancer Cells: Important or Not? Arch Immunol Ther Exp (Warsz), 2018. 66(2): p. 125-132.


Song, Jun, Dongshan Yang, Jie Xu, Tianqing Zhu, Y. Eugene Chen, and Jifeng Zhang. “RS-1 enhances CRISPR/Cas9-and TALEN-mediated knock-in efficiency.” Nature communications 7 (2016): 10548.


Soto-Pantoja, D. R., et al., CD47 in the tumor microenvironment limits cooperation between antitumor T-cell immunity and radiotherapy. Cancer Res, 2014. 74(23): p. 6771-83.


Stanton, S. E. and M. L. Disis, Designing vaccines to prevent breast cancer recurrence or invasive disease. Immunotherapy, 2015. 7(2): p. 69-72.


Steinman, Ralph M., and Madhav Dhodapkar. “Active immunization against cancer with dendritic cells: the near future.” International journal of cancer 94, no. 4 (2001): 459-473.


Strozyk, Elwira, and Dagmar Kulms. “The role of AKT/mTOR pathway in stress response to UV-irradiation: implication in skin carcinogenesis by regulation of apoptosis, autophagy and senescence.” International journal of molecular sciences 14, no. 8 (2013): 15260-15285.


Suzuki, Yasuyuki, Yuzuru Imai, Hiroshi Nakayama, Kazuko Takahashi, Koji Takio, and Ryosuke Takahashi. “A serine protease, HtrA2, is released from the mitochondria and interacts with XIAP, inducing cell death.” Molecular cell 8, no. 3 (2001): 613-621.


Syn, Nicholas L., Lingzhi Wang, Edward Kai-Hua Chow, Chwee Teck Lim, and Boon-Cher Goh. “Exosomes in cancer nanomedicine and immunotherapy: prospects and challenges.” Trends in biotechnology 35, no. 7 (2017): 665-676.


Tebas, Pablo, David Stein, Winson W. Tang, Ian Frank, Shelley Q. Wang, Gary Lee, S. Kaye Spratt et al. “Gene editing of CCRS in autologous CD4 T cells of persons infected with HIV.” New England Journal of Medicine 370, no. 10 (2014): 901-910.


Terness, P., et al., Mitomycin C-treated dendritic cells inactivate autoreactive T cells: toward the development of a tolerogenic vaccine in autoimmune diseases. Proc Natl Acad Sci USA, 2008. 105(47): p. 18442-7.


Thibodeaux, Suzanne R., and Tyler J. Curiel. “Immune therapy for ovarian cancer: promise and pitfalls.” International reviews of immunology 30, no. 2-3 (2011): 102-119.


Thyss, Raphael, Virginie Virolle, Véronique Imbert, Jean-François Peyron, Daniel Aberdam, and Thierry Virolle. “NF-κB/Egr-1/Gadd45 are sequentially activated upon UVB irradiation to mediate epidermal cell death.” The EMBO journal 24, no. 1 (2005): 128-137.


Tran Janco, J. M., et al., Tumor-infiltrating dendritic cells in cancer pathogenesis. J Immunol, 2015. 194(7): p. 2985-91.


Tseng, Diane, Jens-Peter Volkmer, Stephen B. Willingham, Humberto Contreras-Trujillo, John W. Fathman, Nathaniel B. Fernhoff, Jun Seita et al. “Anti-CD47 antibody-mediated phagocytosis of cancer by macrophages primes an effective antitumor T-cell response.” Proceedings of the National Academy of Sciences 110, no. 27 (2013): 11103-11108.


Turnis, Meghan E., and Cliona M. Rooney. “Enhancement of dendritic cells as vaccines for cancer.” Immunotherapy 2, no. 6 (2010): 847-862.


Valkenburg K C, Williams B O. Mouse models of prostate cancer. Prostate Cancer. 2011; 2011:895238.


Van Noorden, C. J., The history of Z-VAD-FMK, a tool for understanding the significance of caspase inhibition. Acta Histochem. 103 (2001) 241-251.


Vanden Berghe, T., M. Kalai, G. Denecker, A. Meeus, X. Saelens, P. Vandenabeele, Necrosis is associated with IL-6 production but apoptosis is not. Cell. Signal. 18 (2006) 328-335.


Vandenabeele, P., T. Vanden Berghe, N. Festjens, Caspase inhibitors promote alternative cell death pathways 2006. Sci. STKE (2006) e44.


Vanlangenakker, N., T. V. Berghe, D. V. Krysko, N. Festjens, P. Vandenabeele, Molecular mechanisms and pathophysiology of necrotic cell death. Curr Mol Med 8 (2008) 207-220.


Veetil J V, Jin S, Ye K. A glucose sensor protein for continuous glucose monitoring. Biosens Bioelectron. 2010; 26:1650-5.


Veetil J V, Jin S, Ye K. Fluorescence lifetime imaging microscopy of intracellular glucose dynamics. J Diabetes Sci Technol. 2012; 6:1276-85.


Vermeer, Daniel W., William C. Spanos, Paola D. Vermeer, Annie M. Bruns, Kimberly M. Lee, and John H. Lee. “Radiation-induced loss of cell surface CD47 enhances immune-mediated clearance of human papillomavirus-positive cancer.” International journal of cancer 133, no. 1 (2013): 120-129.


Villanueva, M. Teresa. “Cancer immunotherapy: Searching in the immune checkpoint black box.” Nature Reviews Drug Discovery 16, no. 9 (2017): 599.


Vinay, Dass S., et al. “Immune evasion in cancer: Mechanistic basis and therapeutic strategies.” Seminars in cancer biology. Vol. 35, p. S185-S198. Academic Press, 2015. PubMed PMID: 25818339.


Voisine, Richard, Louis-P. Vezina, and Claude Willemot. “Induction of senescence-like deterioration of microsomal membranes from cauliflower by free radicals generated during gamma irradiation.” Plant physiology 97, no. 2 (1991): 545-550.


Volkmer, A. K., S. B. Willingham, S. R. Tseng, P. Y. Ho, J. P. Volkmer, B. I. Sikic, R. Majeti, and I. L. Weissman. “50: Proffered Paper: Overcoming immune evasion in ovarian and breast cancer with anti-CD47 antibody blockade: A novel class of immune therapy.” European Journal of Cancer 50 (2014): S13.


von Roemeling, Christina, Wen Jiang, Charles K. Chan, Irving L. Weissman, and Betty Y S Kim. “Breaking down the barriers to precision cancer nanomedicine.” Trends in biotechnology35, no. 2 (2017): 159-171.


Waldman, Todd, Yonggang Zhang, Larry Dillehay, Jian Yu, Kenneth Kinzler, Bert Vogelstein, and Jerry Williams. “Cell-cycle arrest versus cell death in cancer therapy.” Nature medicine 3, no. 9 (1997): 1034.


Wang Y, Xu Z, Guo S, Zhang L, Sharma A, Robertson G P, et al. Intravenous delivery of siRNA targeting CD47 effectively inhibits melanoma tumor growth and lung metastasis. Mol Ther. 2013; 21:1919-29.


Wang, L., F. Du, X. Wang, TNF-alpha induces two distinct caspase-8 activation pathways. Cell 133 (2008) 693-703.


Wei, Chuanxian, Jiyong Liu, Zhongsheng Yu, Bo Zhang, Guanjun Gao, and Renjie Jiao. “TALEN or Cas9-rapid, efficient and specific choices for genome modifications.” Journal of Genetics and Genomics 40, no. 6 (2013): 281-289.


Wei, Y., S. Pattingre, S. Sinha, M. Bassik, B. Levine, JNK1-mediated phosphorylation of Bcl-2 regulates starvation-induced autophagy. Mol. Cells 30 (2008) 678-688.


Weiner, George J. “Building better monoclonal antibody-based therapeutics.” Nature Reviews Cancer 15.6 (2015): 361-370. PubMed PMID: 25998715. PubMed Central PMCID: PMC4491443.


Weiskopf K, Ring A M, Ho C C, Volkmer J P, Levin A M, Volkmer A K, et al. Engineered SIRPα variants as immunotherapeutic adjuvants to anticancer antibodies. Science. 2013; 341:88-91.


Weiskopf, K., et al., CD47-blocking immunotherapies stimulate macrophage-mediated destruction of small-cell lung cancer. J Clin Invest, 2016. 126(7): p. 2610-20.


Weiskopf, K., et al., Engineered SIRPvariants as immunotherapeutic adjuvants to anticancer antibodies. Science, 2013. 341(6141): p. 88-91.


Weiskopf, Kipp. “Cancer immunotherapy targeting the CD47/SIRP-α axis.” European Journal of Cancer 76 (2017): 100-109.


Wherry, E. J. and M. Kurachi, Molecular and cellular insights into T cell exhaustion. Nat Rev Immunol, 2015. 15(8): p. 486-99.


Wiemann, S., A. Bott, I. Keklikoglou, C. Giacomelli, A. Balwierz, S. Uhlmann, H. Mannsperger, U. Korf, and C. Breunig. “53: miRNA-protein interaction networks in cancer.” European Journal of Cancer 50 (2014): S13.


Willingham, S. B., D. T. Bergstralh, W. O'Connor, A. C. Morrison, D. J. Taxman, J. A. Duncan, S. Barnoy, M. M. Venkatesan, R. A. Flavell, M. Deshmukh, H. M. Hoffman, J. P. Ting, Microbial pathogen-induced necrotic cell death mediated by the inflammasome components CIAS1/cryopyrin/NLRP3 and ASC. Cell Host Microbe. 2 (2007) 147-159.


Willingham, Stephen B., Jens-Peter Volkmer, Andrew J. Gentles, Debashis Sahoo, Piero Dalerba, Siddhartha S. Mitra, Jian Wang et al. “The CD47-signal regulatory protein alpha (SIRP-α) interaction is a therapeutic target for human solid tumors.” Proceedings of the National Academy of Sciences 109, no. 17 (2012): 6662-6667.


Wilson, N. S., V. Dixit, A. Ashkenazi, Death receptor signal transducers: nodes of coordination in immune signaling networks. Nat. Immunol. 10 (2009) 348-355.


Wilt T J, MacDonald R, Rutks I, Shamliyan T A, Taylor B C, Kane R L. Systematic review: comparative effectiveness and harms of treatments for clinically localized prostate cancer. Ann Intern Med. 2008; 148:435-48.


Wlaschek, Meinhard, Wenjian Ma, Pidder Jansen-Dürr, and Karin Scharffetter-Kochanek. “Photoaging as a consequence of natural and therapeutic ultraviolet irradiation—studies on PUVA-induced senescence-like growth arrest of human dermal fibroblasts.” Experimental gerontology 38, no. 11-12 (2003): 1265-1270.


Wong, Karrie K., WeiWei Aileen Li, David J. Mooney, and Glenn Dranoff. “Advances in therapeutic cancer vaccines.” In Advances in immunology, vol. 130, pp. 191-249. Academic Press, 2016.


Wu, Y. T. H. L. Tan, Q. Huang, Y. S. Kim, N. Pan, W. Y. Ong, Z. G. Liu, C. N. Ong, H. M. Shen, Autophagy plays a protective role during zVAD-induced necrotic cell death. Autophagy 4 (2008) 457-466.


Wyllie, Andrew H. “Cell death.” In Cytology and Cell Physiology (Fourth Edition), pp. 755-785. 1987.


Xie, Yu-Qing, Lixia Wei, and Li Tang. “Immunoengineering with biomaterials for enhanced cancer immunotherapy.” Wiley Interdisciplinary Reviews: Nanomedicine and Nanobiotechnology (2018): e1506.


Xie, Z., D. J. Klionsky, Autophagosome formation: core machinery and adaptations. Nat. Cell Biol. 9 (2007) 1102-1109.


Xu, Y., S. Huang, Z. G. Liu, J. Han, Poly(ADP-ribose) polymerase-1 signaling to mitochondria in necrotic cell death requires RIP1/TRAF2-mediated JNK1 activation. J. Biol. Chem. 281 (2006) 8788-8795.


Xu, Zhenghong, Yuhua Wang, Lu Zhang, and Leaf Huang. “Nanoparticle-delivered transforming growth factor-β siRNA enhances vaccination against advanced melanoma by modifying tumor microenvironment.” ACS nano 8, no. 4 (2014): 3636-3645.


Yamashima, T., Y. Kohda, K. Tsuchiya, T. Ueno, J. Yamashita, T. Yoshioka, E. Kominami, Inhibition of ischaemic hippocampal neuronal death in primates with cathepsin B inhibitor CA-074: a novel strategy for neuroprotection based on ‘calpain-cathepsin hypothesis’. Eur. J. Neurosci. 10 (1998) 1723-1733.


Yarchoan, Mark, Buries A. Johnson III, Eric R. Lutz, Daniel A. Laheru, and Elizabeth M. Jaffee. “Targeting neoantigens to augment antitumour immunity.” Nature Reviews Cancer 17, no. 4 (2017): 209.


Yi, J. S., M. A. Cox, and A. J. Zajac, T-cell exhaustion: characteristics, causes and conversion. Immunology, 2010. 129(4): p. 474-81


Yinuo Li, S. L., Ying Xu, Chunping Qiu, Chengjuan Jin, Yuqiong Wang, Zhaojian Liu, Beihua Kong, Overexpression of CD47 predicts poor prognosis and promotes cancer cell invasion in high-grade serous ovarian carcinoma. Am J Transl Res, 2017.


Yong, Seok-Beom, Jee Young Chung, Yoonsung Song, and Yong-Hee Kim. “Recent challenges and advances in genetically-engineered cell therapy.” Journal of Pharmaceutical Investigation (2018): 1-10.


You, Benshuai, Wenrong Xu, and Bin Zhang. “Engineering exosomes: a new direction for anticancer treatment.” American journal of cancer research 8, no. 8 (2018): 1332.


Youle, R. J., A. Strasser, The BCL-2 protein family: opposing activities that mediate cell death. Nat. Rev. Mol. Cell Biol. 9 (2008) 47-59.


Yu, Guang-Tao, Lin-Lin Bu, Cong-Fa Huang, Wen-Feng Zhang, Wan-Jun Chen, J. Silvio Gutkind, Ashok B. Kulkarni, and Zhi-Jun Sun. “PD-1 blockade attenuates immunosuppressive myeloid cells due to inhibition of CD47/SIRP-α axis in HPV negative head and neck squamous cell carcinoma.” Oncotarget 6, no. 39 (2015): 42067.


Yu, L., A. Alva, H. Su, P. Dutt, E. Freundt, S. Welsh, E. H. Baehrecke, M. J. Lenardo, Regulation of an ATG7-beclin 1 program of autophagic cell death by caspase-8. Science 304 (2004) 1500-1502.


Yu, L., F. Wan, S. Dutta, S. Welsh, Z. Liu, E. Freundt, E. H. Baehrecke, M. Lenardo, Autophagic programmed cell death by selective catalase degradation. Proc. Natl. Acad. Sci. U.S.A. 103 (2006) 4952-4957.


Zampetti-Bosseler, F., and David Scott. “Cell death, chromosome damage and mitotic delay in normal human, ataxia telangiectasia and retinoblastoma fibroblasts after X-irradiation.” International Journal of Radiation Biology and Related Studies in Physics, Chemistry and Medicine 39, no. 5 (1981): 547-558.


Zanke, Brent W., Kimberly Boudreau, Elizabeth Rubie, Elaine Winnett, Lee Anne Tibbles, Leonard Zon, John Kyriakis, Fei-Fei Liu, and James R. Woodgett. “The stress-activated protein kinase pathway mediates cell death following injury induced by cis-platinum, UV irradiation or heat.” Current Biology 6, no. 5 (1996): 606-613.


Zhang, D. W., J. Shao, J. Lin, N. Zhang, B. J. Lu, S. C. Lin, M. Q. Dong, J. Han, RIP3, an energy metabolism regulator that switches TNF-induced cell death from apoptosis to necrosis. Science (2009).


Zhang, H., et al., Antitumor efficacy of CD137 ligation is maximized by the use of a CD137 single-chain Fv-expressing whole-cell tumor vaccine compared with CD137-specific monoclonal antibody infusion. Mol Cancer Ther, 2006. 5(1): p. 149-55.


Zhang, M., et al., Anti-CD47 Treatment Stimulates Phagocytosis of Glioblastoma by M1 and M2 Polarized Macrophages and Promotes M1 Polarized Macrophages In Vivo. PLoS One, 2016. 11(4): p. e0153550.


Zhao, H., et al., CD47 Promotes Tumor Invasion and Metastasis in Non-small Cell Lung Cancer. Sci Rep, 2016. 6: p. 29719.


Zheng, Yuanhong, Guifang Yin, Vanminh Le, Anle Zhang, Siyu Chen, Xin Liang, and Jianwen Liu. “Photodynamic-therapy activates immune response by disrupting immunity homeostasis of tumor cells, which generates vaccine for cancer therapy.” International journal of biological sciences 12, no. 1 (2016): 120.


Zhu Y, Dong Z, Wejinya U C, Jin S, Ye K. Determination of mechanical properties of soft tissue scaffolds by atomic force microscopy nanoindentation. J Biomech. 2011; 44:2356-61.





BRIEF DESCRIPTION OF THE FIGURES


FIGS. 1A and 1B show schematic diagrams of the interaction of CD47+/− (normal) and CD47−/− (genome edited) cancer cells with macrophages.



FIGS. 2A-2E show the knockout of the cd47 gene from the genome of B16F10 cells through CRISPR/Cas9 editing.



FIGS. 3A-3E show profiling of gp75 and CD47; and the effect of CD47 blockade, GM-CSF, and opsonizing antibodies on phagocytosis of CD47−/− 3BD9 by BMDMs



FIGS. 4A-4E show in vitro phagocytosis of 3BD9 and B16F10 by BMDMs and in vivo tumor growth after implanting live B16F10 and 3BD9 in mice.



FIGS. 5A-5C show alterations in the tumor microenvironment in mice implanted with CD47−/− melanoma cells.



FIGS. 6A-6C show in vivo response to MMC treated melanoma cells.



FIGS. 7A-7C show suppression of tumor growth in vaccinated mice.



FIGS. 8A-8D show tumor-free vaccinated mice show more activated immune phenotypes in Tumor Draining Lymph Nodes (TDLNs).



FIGS. 9A-9E show lymphocyte populations and loss of CD47 expression over time in B16F10 and 3BD9 vaccinated mice.



FIGS. 10A-10F show anti-tumorigenic tumor microenvironment in 3BD9 vaccinated mice with distinct suppressor cell phenotypes.



FIGS. 11A and 11B show a gating strategy for detecting tumor-associated macrophages (TAMs) in the TME.



FIGS. 12A and 12B show immune response in the tumor microenvironment after vaccination with 3BD9 cells.



FIGS. 13A-13C show immune activity in Tumor Draining Lymph Nodes (TDLNs) of vaccinated mice.



FIGS. 14A-14C show homogeneity of suppressive TIL populations in vaccinated mice within a Tumor Micro Environment (TME).



FIGS. 15A-15C show the effect of STING agonist on tumor growth and protection against tumor challenge.



FIGS. 16A-16H show phenotypic changes in the TILs and tumor cells upon STING agonist vaccination.



FIG. 17 shows a bar chart comparing live, mitomycin C-treated, and irradiated cells in a phagocytosis assay.



FIGS. 18A and 18B show depletion of cell surface CD47 by the CRISPR/Cas9 method



FIGS. 19A and 19B show schematic drawings of a vaccination procedure and tumor responses.





DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

Current cancer treatments are not satisfactory. On the other hand, the body immune system is designed to defend the body against pathogens and dangerous invaders including cancers. However, the body immune system fails to act on cancer cells. The increased expression of CD47 on tumor cells prevents them from being recognized by circulating immune cells such as macrophages. The use of anti-CD47 antibodies to block CD47 on tumor cells has proven effective. Nevertheless, this treatment represents some challenges including difficulty in penetrating antibodies into solid tumors. CD47 is expressed on the surface of many cells and is involved in a range of cellular processes such as apoptosis, proliferation, adhesion, and migration. Thus, the use of anti-CD47 antibodies can have some unpredictable side effects. The present technology utilizes whole-tumor cells as vaccines against cancer. According to a preferred embodiment, CD47-deficient cancer cells serve as both preventive and therapeutic vaccines to facilitate phagocytosis by macrophages, which then present tumor antigens to and activate immune cells such as cytotoxic CD8+ T cells. The activated CD8+ T cells will attack and kill cancer cells on their own.


The technology harnesses the body immune system to eliminate cancer cells by creating CD47-deficient cancer cell vaccines. Cancer cells can easily escape from the immune system due to the expression of CD47 on their surface. The deletion of CD47 by genome editing enables their phagocytosis by macrophages that activate cytotoxic CD8+ T cells. The activated CD8+ T cells attack and kill cancer cells. The adaptive immune response is induced by either a standard cell line vaccine, or by using the patient's own tumor cells that have been genome-edited (to delete CD47) and inactivated by irradiation (to suppress their proliferation). Moreover, it is very powerful for treating metastatic cancer cells where none of current therapies is effective or eliminate recurrent cancer cells after solid tumors are surgically removed.


It is noted that in some cases, it is not the primary tumor which represents the ultimate target of the therapy. That is, in some cases, a tumor is benign or low grade, but is associated with a possible or even likely future change toward increased aggressiveness. Therefore, in such patients, a treatment may be provided that vaccinates the patient against the aggressively transformed cells.


To demonstrate the technology, i.e., the hypothesis of whether CD47 null tumor cells can be formulated into a vaccine eliciting a strong immune response of the host to eliminate cancers from the body, the cd47 gene from B16F10, a mouse melanoma cell line, was knocked out through CRISPR/Cas9 genome editing.


Two guide RNAs were designed that target the exons 1 and 2 of the cd47 gene (SEQ ID: 001, SEQ ID: 002). The guide RNAs were subcloned individually into an all-inclusive plasmid system, PX458 and co-transfected into B16F10 cells. Transfected cells were FACS sorted, and the resultant single cell clones were screened for bi-allelic CD47 knockout by PCR and DNA sequencing (Table 1). The resultant clone was named as 3BD9. The biallelic gene deletion was confirmed through DNA sequencing (FIG. 2A). The absence of CD47 expression on cell surface of 3BD9 was quantified through both flow cytometry (FIG. 2B) and immunofluorescence microscopy (FIGS. 2C-E). The CD47−/− 3BD9 cells were used in the subsequent experiments to ascertain their ability to elicit an immune response in the host.



FIGS. 2A-2E show the knockout of the cd47 gene from the genome of B16F10 cells by means of CRISPR/Cas9 editing. (FIG. 2A) DNA sequencing data showing the deletion of a 12 kb fragment from the cd47 gene (SEQ ID: 003). Underlined sequences represent the gRNA target regions, and bold arrows represent cut sites for Cas9. (FIG. 5B) FACS histograms of rat anti-mouse CD47 antibody labeled unedited B16F10 cells (in red), the edited 3BD9 clone (in blue), and a negative control (3BD9 cells without primary antibody treatment) (in orange). Immunofluorescence microscopy was performed to detect the expression of CD47 (green) on the surface of B16F10 (FIG. 2C) and 3BD9 (FIG. 2D). (FIG. 2E), a negative control where the 3BD9 was labeled in the absence of the primary antibody. All cells were counterstained with DAPI (blue). Scale bar: 100 μm.









TABLE 1







Guide RNA and PCR primer sequences designed for CD47 knockout and screening









ID
Sequence
Location/Function










CRISPR gRNA Sequences









Guide M1
AACCGCCGCCGCGACAACGA
Exon 1, cd47 gene, used for RNP electroporation, and



SEQ ID: 004
in PX458 plasmid for gene deletion





Guide M3
TGCTTTGCGCCTCCACATTA
Exon 2, cd47 gene, used in PX458 plasmid for gene



SEQ ID: 005
deletion










PCR Primers









MA-FP
AGCCAGAGGGAAGGAGTT
Forward primer, upstream of Guide M1 targeted cd47



SEQ ID: 006
gene





MC-RP
CCACTTGCCCAAGAAGAG
Reverse primer, downstream of Guide M3 targeted



SEQ ID: 007
cd47 gene (with MA-FP, amplicon length: 12,986 bp in




intact, and 473 bp in a deleted cd47 gene)









Opsonizing Antibody Enhances Phagocytosis of CD47−/− B16 Cells (3BD9) by Bone Marrow-Derived Macrophages (BMDMs)


While CD47 depletion makes cells more susceptible to phagocytosis by macrophages, efficient phagocytosis requires the presence of an opsonizing antibody that engages the Fc receptors on macrophages. An in vitro phagocytosis assay was performed to determine whether phagocytosis of 3DB9 cells by BMDMs is enhanced in the presence of opsonizing antibody such as TA99, an antibody against glycoprotein 75 (gp75), a common melanoma tumor-associated antigen (Sockolosky et al. 2016). The expression of gp75 on the surface of the B16F10 and 3BD9 was determined by flow cytometry (FIG. 3). Presence of gp75 correlates with the ability of the TA99 antibody to block surface markers on tumor cells and act as an opsonizing agent for phagocytosis.



FIGS. 3A-3E show profiling of gp75 and CD47; and the effect of CD47 blockade, GM-CSF, and opsonizing antibodies on phagocytosis of CD47−/− 3BD9 by BMDMs. Flow cytometric analysis of cell surface gp75 expression on live B16F10 and 3BD9 cells (FIG. 3A), cell surface CD47 expression on irradiated B16F10 and 3BD9 cells (FIG. 3B), and cell surface CD47 expression on GVAX (red histogram) and 1FC (CD47−/− GVAX; blue histogram) cells with an isotype control (orange histogram) (FIG. 3C). (FIG. 3D) In vitro BMDM phagocytosis of the various types of melanoma cells under different conditions. **p<0.01, ***p<0.001 by one-way ANOVA using GraphPad Prism. (FIG. 3E) The trend shows increase in phagocytosis with the absence of CD47 and the presence of GM-CSF and the TA99 antibody. Data are expressed as mean±SEM.


The efficiency of phagocytosis of 3BD9 and B16F10 by BMDMs is shown in FIGS. 4A-B. BMDMs were co-incubated with CFSE-labeled tumor cells in the presence of different opsonizing antibodies, and phagocytosis was analyzed as a percentage of F4/80+ and CFSE+ macrophages by flow cytometry. The depleting or blocking of CD47 expression alone on the surface of melanoma cancer cells was found not to lead to a significant increase in their phagocytosis by BMDMs. However, the blocking of gp75 in CD47−/− 3BD9 cells with TA99 antibodies resulted in a considerable increase in phagocytosis, suggesting the combinatory effect of CD47 absence and the opsonizing effect of antibody (TA99). In this context, a similar enhancement of phagocytosis of 3BD9 was observed when cells are exposed to a macrophage activating cytokine such as the granulocyte macrophage colony stimulating factor (GM-CSF) (FIG. 3E). The phagocytosis efficiency of CD47 depleted melanoma cancer cells by BMDMs is increased when the cells are exposed to GM-CSF. It also does not appear that the exposure of CD47 depleted cells to both TA99 and GM-CSF can further improve their phagocytosis by BMDMs (FIG. 3C-E).



FIGS. 4A-4E show in vitro phagocytosis of 3BD9 and B16F10 by BMDMs and in vivo tumor growth after implanting live B16F10 and 3BD9 in mice. (FIG. 4A) BMDM phagocytosis of B16F10 cells treated with various opsonizing antibodies—purified anti-CD47 (clone miap301), or anti-gp75 antibodies (TA99). These antibody-dependent conditions were tested alongside un-opsonized conditions with only B16F10 and CD47−/− B16 (3BD9) cells. The data shown are the mean (n=3) and the error bars indicate the standard error. *p<0.05, **p<0.01, one-way ANOVA. (FIG. 4B) Flow cytometric analysis of APC-F4/80 and CFSE dual labeled macrophages, depicting the percentage of phagocytosis in each condition. (FIG. 4C) Tumor growth in mice after implanting B16F10 or 3BD9. Points indicate tumor measurements from individual mice (n=8). Data shown are the combination of two independently performed experiments. ***p<0.001, unpaired t test. Error bars indicate standard errors. (FIG. 4D) Survival rate of mice implanted with B16F10 and 3BD9. **p<0.01, Mantel-Cox test. (FIG. 4E) Tumor growth rate after challenge (second tumor implantation with live B16F10 cells) for two mice that were tumor-free for 60 days after initial 3BD9 implantation. p=0.003 by linear regression analysis. All statistical analyses were performed using GraphPad Prism.


These together appear to show that the phagocytosis of melanoma cancer cells is correlated to (i) the blockade of CD47-SIRP-α binding, (ii) the engagement of the Fc receptors on macrophages, and (iii) the presence of enhancing cytokines. Translated in vivo, this observation implies that the antigen presenting compartment must be aided by the effector compartment for efficient anti-tumor activity.


CD47 Ablation Delays Melanoma Tumor Growth Significantly In Vivo


To determine whether CD47 ablated melanoma cells can elicit a strong immune response, tumor development was examined by implanting CD47−/− 3BD9 cells in syngeneic immunocompetent C57BL/6 mice (Weiskopf et al. 2016). For the mice that developed tumors, growth was delayed by at least 10 days in comparison with the mice implanted with CD47+/− B16F10. (FIG. 4C). Two of the eight mice (25% of mice) implanted with 3BD9 cells did not develop a tumor up to 60-days post implantation (FIG. 4D). To determine whether the tumor-free mice implanted with CD47−/− 3BD9 developed an immune memory against melanoma, a second tumor implantation was performed on Day 61. Interestingly, one mouse (50% of mice challenged) showed significantly delayed tumor growth—by about 20 days—in comparison to a control B16F10 implant mouse not previously injected with 3BD9 (FIG. 4E). These experiments were very critical, unveiling the possible elicitation of an immune response by CD47−/− tumor cells. Therefore, it appears that CD47−/− tumor cells are feasible to use as vaccines against melanoma. A procedure and its results are shown schematically in FIGS. 19A and 19B.


To characterize the immune activity in tumors that do not express CD47, an additional cohort of 15 mice per group that received B16F10 implants, and 3BD9 implants subcutaneously, were used. Examining immune organs of 3BD9 engrafted mice, enlarged spleens and lymph nodes were discovered (data not shown), indicating significant immune cell expansion after implantation. To further confirm the elicitation of an immune response by CD47−/− 3BD9, lymphocyte immuno-phenotyping was performed in the tumor microenvironment (TME) and in the tumor-draining lymph nodes (TDLNs) through multicolor flow cytometric analysis. Table 2 lists three panels of antibodies used for immuno-phenotyping: Panel T1 was used for phenotyping the antigen presenting compartment and the tumor cell phenotypes in the tumor microenvironment; Panel SL1 was used for phenotyping the antigen presenting compartment in the TDLNs; and Panel P2 was used for phenotyping the effector cell populations (T cells and NK cells) in both the TME and the TDLNs.



FIGS. 5A-5C show alterations in the tumor microenvironment in mice implanted with CD47−/− melanoma cells. Tumors were collected from CD47+/− B16F10 and CD47−/− 3BD9 engrafted mice (n=5 each group) at three stages of tumor development—small (200-300 mm3), medium (500-600 mm3), and large (800-900 mm3). (FIG. 5A) PD-L1 expression on tumor cells, (FIG. 5B) infiltration of regulatory T cells (T-regs), and (FIG. 5C) activated (Ki67+) effector cells (CD4+ T cells, CD8+ T cells, and NK cells) in the tumor microenvironment. *p<0.5, **p<0.01, ***p<0.001 by one-way ANOVA using GraphPad Prism.









TABLE 2







Antibodies used for immuno-phenotyping lymphocyte populations


in TME and TDLNs

















Concen-







tration




Antibody


in Panel


No.
Marker
Clone
Fluorophore
Dilution
(μg/ml)










Panel TI - Tumor Cells and Antigen Presenting


Compartment - TME












1
CD45
30-F 11
PerCP-Cy5.5
1:300
0.7


2
CDIIb
MI/70
Alexa Fluor 488
1:200
1


3
Ly6C
HKI.4
Brilliant Violet 785
1:300
0.7


4
Ly6G
1A8
PE
1:200
1


5
CDIIc
N4 18
Brilliant Violet 42 1
1:200
1


6
CD47
miap30 1
Alexa Fluor 647
1:100
2


7
PD-LI
10F.9G2
Brilliant Violet 605
1:100
2


8
CDSO
16-IOAI
Brilliant Violet 650
1:100
2


9
MHC-11
M5/114.15.2
APC/Fire750
1:200
1







Panel SLI - Antigen Presenting Comartment - TDLN












1
CD45
30-FII
PerCP-Cy5.5
1:300
0.7


2
CDIIb
MI/70
Alexa Fluor 488
1:200
1


3
Ly6C
HKI.4
Brilliant Violet 785
1:300
0.7


4
Ly6G
1A8
PE
1:200
1


5
CDIIc
N418
Brilliant Violet 42 1
1:200
1


6
CDSO
16-IOAI
Brilliant Violet 650
1:100
2


7
MHC-II
M5/114.15.2
APC/Fire750
1:200
1


8
CD206
C068C2
Alexa Fluor 647
1:100
2







Panel P2 - Effector Cell Compartment - TME and TDLN












1
CD45
30-FII
PerCP-Cy5.5
1:300
0.7


2
CD8a
53-6.7
Brilliant Violet 510
1:100
2


3
CD69
HI.2 F3
Brilliant Violet 650
1:100
2


4
CD4
GKI.5
Brilliant Violet 785
1:200
1


5
CD25
3C7
APC
1:100
2


6
FoxP3
FJK-16s
Alexa Fluor 488
1:100
2


7
CD49b
CX5
PE-CF594
1:100
2


8
PD-1
RMPI-14
PE
1:200
1


9
Ki-67
16A8
Brilliant Violet 421
1:200
1









The immuno-phenotyping of the tumor cells revealed a significant increase in cell surface PD-L1 expression as tumor progressed, in B16F10 engrafted mice, suggesting a gradual development of an immunosuppressive environment corresponding to the stage of tumor growth (FIG. 5A). The PDL-1 expressing tumor cells increased from approximately 20% at the early stage (200-300 mm3) to around 45% when the tumor growth reached to a larger size (approx. 800-900 mm3) in B16F10 implanted mice. In contrast, PD-L1 expression in CD47−/− 3BD9 engrafted mice remained at a low steady level as the tumor grew, suggesting suppression of tumor cell surface PD-L1 expression in these mice. Examining the T cell infiltration revealed an increase in resident CD4+ CD25+ FoxP3+ regulatory T cells (T-regs) in the tumor compartment as tumors grew in both B16F10 and 3BD9 engrafted mice (FIG. 5B). The difference in T-reg infiltration is evident between B16F10 and 3BD9 engrafted mice when the tumors grew to a size of 500-600 mm3. CD47−/− tumors exhibited higher T-regs infiltration in the tumor microenvironment. Interestingly, the T-regs infiltration were statistically at the same level when tumors grew larger in mice implanted with either CD47+/+ or CD47−/− tumor cells. It seems that there is a phase of tumor growth when the host immune system responds to the tumors differently in CD47+/+ and CD47−/− cancer cell engrafted mice.


The immuno-phenotyping of effector immune cells in lymph nodes confirmed this observation. A higher number of the Ki67+ activated CD4+ and CD8+ T cells, as well as natural killer (NK) cells, were discovered in the CD47−/− tumor microenvironment (FIG. 5C) in both B16F10 and 3BD9 engrafted mice, the numbers of these immuno-activated cells in lymph nodes seemed to even out when the tumors were relatively small or very large, suggesting their escape from the immune system. A significantly high number of CD4+ and CD8+ T cells and NK cells were found in lymph nodes of 3BD9 engrafted mice when the tumors were at a medium size (500-600 mm3) (p<0.001).


Immunization with Inactivated CD47−/− Tumor Cells Protects Mice from a Tumor Challenge.


Upon confirming the immune response of mice to CD47−/− cancer cells, it was determined whether inactivated CD47−/− cancer cells can be used as a vaccine to protect mice from a tumor challenge. First, 3BD9 cells were chemically inactivated using Mitomycin-C (MMC) which inhibits DNA synthesis, hence rendering the cell non-replicating. Mice were vaccinated with PBS (vehicle control), MMC-treated B16F10 (MMC-B16F10), and MMC-treated 3BD9 (MMC-3BD9), by following an immunization regime depicted in FIG. 6A.



FIGS. 6A-6C show in vivo response to MMC treated melanoma cells. (FIG. 6A) The immunization regime where the red arrows mark the injection of either PBS (vehicle control) or MMC-inactivated melanoma cells (B16F10 or 3BD9). The blue arrow indicates a tumor challenge using live B16F10 cells. Two doses, separated by 7 days, of MMC-treated cells were injected into the left flanks of mice to vaccinate them. The tumor challenge was given 7 days after the 2nd dose of vaccines. (FIG. 6B) The development of tumors after B16F10 engrafting in MMC-B16F10, MMC-3BD9, and PBS vaccinated mice. **p<0.01 by unpaired t test. (FIG. 6C) Survival rate of vaccinated mice after tumor challenge. n=4 per group. *p<0.5 by Mantel-Cox test.


Immunogenicity in these vaccinated mice was determined after challenging the mice using B16F10 cells on day 7 post the second dose of vaccination. The MMC-3BD9 vaccinated mice exhibited a significantly delayed tumor growth by approximately 5 days (FIG. 6B). In both the MMC-B16F10 and MMC-3BD9 groups, the lifespan of tumor-bearing mice was doubled in comparison to the PBS vaccinated mice. MMC vaccinated mice survived for around 35 days, whereas PBS vaccinated mice only survived for 18 days. However, there was no significant difference in the survival rate of the mice within the B16F10 and 3BD9 groups, suggesting that CD47 does not play a role in this immunogenicity (FIG. 6C). MMC treatment makes cells inherently apoptotic (Terness et al. 2008; Scheffer et al. 2003; Roh et al. 2008; McKenna et al. 2012). CD47 is one of the most essential proteins in the clearance of apoptotic cells. The MMC treatment leads to the rearrangement of CD47 on the cell surface to form islands and helps cellular uptake by macrophages. Thus, the MMC treatment of B16F10 effectively elicited an immune response. These experimental results clearly suggested that MMC-treatment is inappropriate for testing the immunogenic capability of the 3BD9 cells against cancers.


The inactivation of 3BD9 using γ-irradiation (Roy et al. 2001) was then tested. Irradiation is one of the most commonly used methods for inactivating cells while maintaining their biological integrity Dranoff et al. 1993). Inactivated B16F10 and 3BD9 cells were prepared by γ-irradiating them using a Cs source at 35 Gy and used them to vaccinate mice before a tumor challenge. As controls, mice vaccinated with PBS and irradiated B16F10 cells were studied alongside. Flow cytometric analysis confirmed the expression of CD47 and the absence of CD47 on irradiated B16F10 and 3BD9 cells, respectively (FIG. 7B). This suggested that the expression of CD47 on cell surface was unaltered post irradiation.


Mice (15 per group) were vaccinated subcutaneously with irradiated 3BD9 or B16F10 cells, on their left flanks and challenged with live B16F10 cells on the same flank 7 days later (FIG. 7A).



FIGS. 7A-7C show suppression of tumor growth in vaccinated mice. (FIG. 7A) The study regime: 15 mice per group were vaccinated with PBS, irradiated B16F10, or irradiated CD47−/− 3BD9 cells, and challenged with live B16F10 cells 7 days later. Mice were observed for 90-days post tumor implantation. (FIG. 7B) Tumor growth in mice from the three vaccination regimes. **p<0.01 by unpaired t test. (FIG. 7C) Percentage of tumor free mice after vaccination. ****p<0.0001 by the Mantel-Cox test. Symbol, Irr.: irradiation.


In the irradiated 3BD9 vaccinated group, 40% of the mice (6/15) were tumor-free until day 70 post tumor challenge, and 33% of the mice (5/15) were tumor-free until the end of the regime (90-days post tumor challenge). More significantly, 13% of these mice (2/15) were tumor free at the end of 90-days post tumor challenge (FIG. 7B). For those did develop tumor, a significant delay in tumor growth was observed (FIG. 7C). The average tumor size in irradiated 3BD9 vaccinated mice that developed tumor was around 60 mm3, whereas it was close to 170 mm3 in irradiated B16F10 vaccinated mice at day 10. 100% (15 mice) of PBS vaccinated mice developed tumors. These experimental data suggested a strong tumor-specific immune response to CD47 depleted tumor cell vaccines, and it was important to further understand the underlying mechanisms of these responses.


Vaccination with Irradiated CD47−/− Tumor Cells Confers Immunity to Mice by Upregulating Antigen Presentation and Increasing Effector Cell Activity


To understand the underlying mechanisms that confer an anti-tumor immune response in the 3BD9 vaccinated mice, multi-parametric immune cell phenotyping was performed to characterize different immune cell subsets in the TME and in the TDLNs of mice using cell-specific protein markers shown in Table 3. A combination of various markers helped us identify specific subsets of cells, their lineages, and correlation with response to vaccines. A comprehensive list of cell types and subsets based on the markers chosen is available in Table 4. The immune mechanisms involved in mice that showed a complete response to vaccination by irradiated 3BD9 cells, i.e., those that did not develop a tumor 90-days post vaccination, were investigated. To that end the immune cell populations in the TDLNs of responders (CD47−/− 3BD9 R), and non-responders (CD47−/− 3BD9 NR) or those that developed delayed tumors after vaccination were compared.


A significant increase in the M1-type anti-tumorigenic macrophages was observed, and a reduction in the M2-type pro-tumorigenic macrophages. M1 macrophage populations were five times higher and M2 macrophage populations were almost half the amount in the responders when compared to the non-responders. Additionally, the percentage of migratory DCs (Parajuli et al. 2010) and activated DCs that efficiently present antigens to the T cells, were significantly increased (FIG. 8A).



FIGS. 8A-8D show tumor-free vaccinated mice show more activated immune phenotypes in TDLNs. (FIG. 8A) Macrophage and dendritic cell subsets present in the antigen presenting cell (APC) compartment, (FIG. 8B) ratio of regulatory T cells (T-regs) and activated T cells (Ki67+), (FIGS. 8C and 8D) CD8+ and CD4+ T cell subsets in the T-cell compartment of the tumor-draining lymph nodes (TDLNs). NR: non-responders (mice that grew tumors after vaccination); R—responders (tumor-free mice after vaccination). n=5 mice per cohort for PBS and R groups. n=4 for NR group. Immuno-phenotyping was performed by flow cytometry. Cell phenotypes are presented as a percentage of their parent cell population. *p<0.5, **p<0.01, ***p<0001 by the unpaired t test performed using GraphPad Prism.


Activated DC population were 6-7 times higher in the responders. These data suggest that the antigen presenting compartment is efficient in the TDLNs of the mice that responded to the 3BD9 vaccine. Moreover, the ratio of regulatory T cells (T-regs) to activated (Ki67+) T cells was drastically reduced in the responders (FIG. 8B), further confirming the presence of a highly anti-tumorigenic immune response. Analysis of the specific T cell subsets showed that the activated effector cell percentages are much higher in the responders in comparison to the non-responders and the PBS vaccinated mice, leading to the hypothesis that the tumor rejection could be a result of this. It is, however, interesting to note that the T-reg and the exhausted T cell (PD-1+) populations were higher in the 3BD9 vaccinated groups that in the PBS vaccinated groups (FIGS. 8C and 8D), though the ratios were much less in comparison.









TABLE 3







Markers used for phenotypic characterization of immune and


tumor cells.









Marker
Cellular Location
Description










Antigen Presenting Compartment/Tumor Compartment









CD45
Plasma Membrane
Pan leukocyte marker; to differentiate




immune cells from other types of cells


CD11b
Plasma Membrane
Macrophage specific marker


Ly6C
Plasma Membrane
Monocyte marker; tumor-associated




macrophage marker; part of the Gr1




complex with Ly6G


Ly6G
Plasma Membrane
Monocyte marker; tumor-neutrophilic




lineage, part of the Gr1 complex with




Ly6C


CD11c
Plasma Membrane
Dendritic cell specific marker


CD80
Plasma Membrane
Antigen presenting cell (APC) specific




activation marker; present in M1-type




macrophages and activated DCs


CD206
Plasma Membrane
M2-type macrophage marker


MHC-II
Plasma Membrane
Antigen presentation capability


PD-L1
Plasma Membrane
Ligand for PD-1 on exhausted T-cells;




present on tumor cells as a defense




mechanism, and on APCs


CD47
Plasma Membrane
“Don't eat me” signal on tumor cells;




interacts with SIRP-α on macrophages to




contain phagocytosis







Effector Cell Compartment









CD8a
Plasma Membrane
Cytotoxic T-cell (CTL) specific marker


CD69
Plasma Membrane
CTL activation marker


CD4
Plasma Membrane
Helper T-cell (TH) specific marker


CD25
Plasma Membrane
IL2RA protein for identification of




CD4+FoxP3+ regulatory cells (T-regs)


FoxP3
Nucleus
Transcription factor expressed by T-regs


CD49b
Plasma membrane
Natural Killer (NK) cell specific marker




(only C57BL/6 mice)


PD-1
Plasma Membrane
Programmed death protein expressed on




the surface of exhausted T-cells;




deactivation upon interaction with PD-L1




on tumor cells and APCs


Ki-67
Nucleus
Proliferation marker expressed by activated




effector cells (T cells, NK cells)





Note:


The table lists cell-specific markers used in various combinations as part of two panels that identify specific characteristics of immune cells and tumor cells in the tumor microenvironment and in the tumor-draining lymph nodes.













TABLE 4







Phenotypic characterization of antigen presenting cells in immune infiltrates.









Subset
Significance
Phenotype





Macrophage Subsets
Anti-tumorigenic; enhanced IL-2 production
CD11b+ CD80+


M1-type Macrophages
Anti-tumorigenic; efficient antigen
CD11+ CD80+ MHC-IIhi



presentation



M2-type Macrophages
Pro-tumorigenic; suppressed antigen
CD11b+ CD206+ MHC-IIlow



presentation



Suppressive Macrophages
T cell deactivation
CD11b+ PD-L1+


Tumor-Associated




Macrophage (TAM) Subsets




TAM-1
Pro-tumorigenic; inefficient antigen
CD11b+ Ly6Cint MHC-IIhi



presentation



TAM-2 (MHC-IIhi TAMs)
Pro-tumorigenic; normoxic conditions
CD11b+ Ly6Clow MHC-IIhi


TAM-3 (MHC-IIlow TAMs)
Pro-tumorigenic; present in hypoxic
CD11b+ Ly6Clow MHC-IIlow



conditions; suppressed antigen presentation



Dendritic Cell (DC) Subsets\




Activated DCs
Anti-tumorigenic; enhanced IL-2 production;
CD11c+ MHC-II+ CD80+



efficient antigen presentation



Migratory DCs
Present mostly in tumor-draining lymph
CD11chi MHC-II+



nodes; signifies high DC activity
CD11b+


Regulatory DCs
May be pro-tumorigenic
CD11c+ MHC-II+ CD80+


Suppressive DCs
T cell deactivation
CD11c+ PD-L1+


Myeloid-Derived Suppressor




Cell (MDSC) Subsets




Poly-morphonuclear (PMN)
Pro-tumorigenic; from Ly6Chi monocytic
CD11b+ Ly6Clow Ly6G+


MDSCs (granulocytic)
precursors; differ in lineage; Ly6Chi forms



Monocytic (Mo) MDSCs
more suppressive than Ly6Clow forms
CD11b+ Ly6Chi Ly6G+


Monocyte-derived (Mo-

CD11bhi Ly6G+ MHC-II+


derived) MDSCs




Cytotoxic T Cell (CTL)




Subsets - CD8+




Activated CTLs
Primed tumor-specific CD8+ T cells
CD8+ CD69+


Activated/Proliferating CTLs
Activated and proliferating CD8+ T cells;
CD8+ Ki67+



produce granzymes, perforins, IFN-γ



Exhausted CTLs
Deactivated phenotype of CD8+ T cells;
CD8+ PD-1+



incapable of cytotoxic killing



Helper T Cell (TH) subsets




CD4+




Regulatory T cells (T-regs)
Inhibit proliferation and activation of CTLs
CD4+ CD25+ FoxP3+



and TH cells



Activated/Proliferating TH cells
Activated and proliferating CD4+ T cells;
CD4+ Ki67+



produce IL-2, IFN-γ



Exhausted TH cells
Deactivated phenotype of CD4+ T cells;
CD4+ PD-1+



incapable of cytokine release



Natural Killer (NK) Cell




Subsets - CD49+




Activated Natural Killer Cells
Primed NK cells; produce granzymes;
CD49b+ Ki67+



cytotoxic activity



Ratios of Cell Types




Ratio of T-regs to Ki67+ T cells
High ratio signifies a more suppressive
CD4+ CD25+ FoxP3+:



environment; no T cell proliferation
CD8+ Ki67+


Ratio of PD-1+ to Ki67+ T cells
High ratio signifies a more suppressive
CD8+ PD-1+: CD8+



environment; exhausted T cells
Ki67+




CD4+ PD-1+: CD4+




Ki67+


Ratio of MHC-IIhi TAMs to
High ratio signifies a more normoxic
CD11b+ LydClow: MHC-


MHC-IIlow TAMs
condition and a less suppressive
IIhi: CD11b+ Ly6Clow



environment
MHC-IIlow





Note:


The table lists all the phenotypic subsets used in this project to determine immune cell function associated with tumor rejection and escape. Categorization of these subsets is based on their lineage, function, and specific cell surface markers.






Comparison of tumor and lymphocyte populations in mice vaccinated with irradiated B16F10 and irradiated 3BD9 confirms the vital role of CD47


To elucidate the specific role of CD47 in this immunologic reaction, lymphocyte populations in the TME and in the TDLNs of irradiated B16F10 and 3BD9 vaccinated mice that developed tumors after a tumor challenge were compared. It was important to track the alteration in the immune phenotypes as the tumors grew to understand how the microenvironment and the specific immune responses evolve. To this end, cell types were characterized at three different stages of tumor growth—small (200-300 mm3), medium (500-600 mm3), and large (800-900 mm3). In the TME, activated and proliferated T and NK cells were examined, and found that the 3BD9 vaccinated mice had significantly higher percentages of Ki67+ effector cells, especially in the small and medium sized tumors. In contrast, the B16F10 vaccinated mice lost their effector cell populations over time (FIG. 9A).


FIG. 9A09E show lymphocyte populations and loss of CD47 expression over time in B16F10 and 3BD9 vaccinated mice. (FIG. 9A) Regulatory T cells (T-regs), activated (Ki67+) T cells and activated NK cells in the tumor microenvironment, and (FIG. 9B) macrophage (M1- and M2-type) and dendritic cell subsets in the tumor-draining lymph nodes of mice at different stages of tumor growth in the PBS, 3BD9, and B16F10 vaccinated groups. Comparison of CD47 expression on all tumors (FIG. 9C) at different stages of tumor growth (FIG. 9D) in the PBS, 3BD9, and B16F10 vaccinated mice with representative CD47 expression dot plots (FIG. 9E). In the PBS vaccination cohort, n=5 for all three stages of tumor growth. In the 3BD9 cohort, n=4 (small), n=3 (medium), n=2 (large) and in the B16F10 cohort n=4 (small), n=5 (medium), n=4 (large). Flow cytometric analysis was performed on FlowJo and cell phenotypes are presented as a percentage of the parent cell population. *p<0.5, **p<0.01, ***p<0.001 by unpaired t test performed on GraphPad Prism.


The specific effect of the absence of CD47 might be in improving the long-term survival of mice by increasing effector cell populations over time and delaying their exhaustion while keeping the suppressive cells to a minimum. The T-reg populations in the inactivated cell vaccinated mice were consistently observed to be higher than in the PBS vaccinated ones (FIG. 9A). This could be due to the abundance in T cell populations and cytokine release, driving the phenotypic change to a regulatory form. In the TDLNs, an increase in the levels of M1-type macrophages and a reduction in the M2-type macrophages in the small and medium sized tumors developed after irradiated 3BD9 vaccination were detected, which is one of the most expected responses to the lack of CD47 (FIG. 9B). PBS vaccinated mice initially showed a higher population of activated DCs, which reduced drastically over time, and the irradiated 3BD9 vaccinated mice showed much higher levels correlating with tumor progression (FIG. 9B), indicating high immune activity in the lymph nodes. These data correspond to the overall observation that the TME is “hot” and active in the 3BD9 vaccinated tumors, providing opportunities for further intervention to enhance this effect.


Another very remarkable observation pertaining specifically to the involvement of CD47 in the anti-tumor response, was in the non-TIL compartment of the tumors of vaccinated mice. All tumor implants were B16F10 cells, known to express CD47 on their surface. However, upon analysis of the CD45 (negative for the pan-leukocyte marker) tumor cells in the TME, CD47 was down regulated in 3BD9 vaccinated mice significantly (FIG. 9C). Breaking down this observation and analyzing at three stages of tumor growth, it was interesting to see that when the tumors are small, the B16F10 vaccinated tumors still have a significantly higher expression of CD47 when compared with the 3BD9 vaccinated tumors. However, as the tumor grows, even the B16F10 treated mice begin to lose their CD47 expression (FIG. 9D). Upon closer look, the stark difference in CD47 expression in 3BD9, B16F10 and PBS treated mice is evident in all the replicates analyzed at each stage of tumor growth (FIG. 9E). This observation also supports the corresponding TIL changes in the tumor microenvironment characterized in the above sections. It is worth considering that the tumors seem to evolve against an existing immune response according to the types of primed TILs that have been developing due to vaccination.


Investigating the TME and TDLNs of 3BD9 vaccinated mice reveals actively anti-tumorigenic conditions, with distinct TAM phenotypes.


After determining the role of CD47 in eliciting an immune response in vaccinated mice, the immune activity in the tumor microenvironment and the draining lymph nodes of the mice vaccinated with irradiated 3BD9 cells was investigated. The populations of active antigen presenting cells and proliferating effector cells were investigated. More effector immune cell populations (Ki67+ T cells and NK cells), but fewer antigen presenting cells in the TME of 3BD9 vaccinated mice as compared to those vaccinated with PBS were detected (FIG. 10A), suggesting an active immune cascade that ends in proliferation of effector cells in the 3BD9 vaccinated mice. To confirm this hypothesis, the antigen presenting cells were interrogated for the expression of the T cell-suppressive marker PD-L1 and found that both DCs and macrophages showed a higher level of PD-L1 expression in the PBS vaccinated mice in comparison with the 3BD9 vaccinated ones (FIG. 10B). There was no statistically significant difference in PD-1 expression on T cells, or in the percentage of T-reg populations between the two groups. However, the ratio of exhausted (PD-11 to activated (Ki67+) T cells was drastically higher in the PBS vaccinated groups (FIG. 10C), further confirming the finding that the macrophages and dendritic cells in the TME of PBS vaccinated tumors are of a stagnant and suppressive phenotype, not leading to downstream immune cell activation.



FIGS. 10A-10F show anti-tumorigenic tumor microenvironment in 3BD9 vaccinated mice with distinct suppressor cell phenotypes. Multicolor flow cytometric analysis was performed to determine (FIG. 10A) infiltration of effector T, NK cells, macrophages, and DCs, (FIG. 10B) PD-L1 expression in tumor cells, infiltrating macrophages, and DCs, and (FIG. 10C) the distribution of regulatory and activated T cells in tumor microenvironment of 3BD9 vaccinated mice. Additional analysis was performed to characterize MDSC and TAM subsets (FIG. 10D) and the expression of lineage (Ly6G), activation (CD80), and T cell suppression (PD-L1) markers on the surface of MHC-IIhi TAM and MHC-IIlow subsets (FIGS. 10E and 10F) in PBS and 3BD9 vaccinated mice at three stages of tumor growth—small (200-300 mm3), medium (500-600 mm3), and large (800-900 mm3). n=15 mice for PBS, n=9 for irradiated 3BD9. In the PBS vaccination cohort, n=5 for all three stages of tumor growth. In the 3BD9 cohort, n=4 (small), n=3 (medium), and n=2 (large). Immune cell phenotypes are presented as a percentage of the parent cell population. **p<0.01, ***p<0.001 by unpaired t test performed on GraphPad Prism.


The suppressor cells—the tumor associated macrophages (TAMs) and the myeloid derived suppressor cells (MDSCs), were investigated in the tumor microenvironment. TAMs and MDSCs are responsible for a sizable portion of effector cell suppression (Bronte et al. 2016; Elliott et al. 2017; Italiani et al. 2014). This suppression is active and occurs both in the TME and in the TDLNs (Kumar et al. 2016; Movahedi et al. 2010). Phenotypic characterization of MDSCs and TAMs have been studied in previously. It has been emphasized that common characteristics of tumors that have been irreversible thus far like metastatic potential, downregulation of MHC genes, and overexpression of evasion markers, can be attributed to the specific APC phenotypes in the TME (Ostrand-Rosenberg et al. 2009; Richards et al. 2013). They are often distinguished by their cell surface marker expression (Table 4), and further studied based on mechanisms of action, T cell suppression potential, inhibitory cytokine production, and effect on other cell types. A very specific gating strategy was employed to characterize TAMs based on expression of the granulocytic lineage marker Ly6G, the monocytic marker Ly6C, and the antigen presentation complex MHC-II (FIGS. 11A and 11B). 3BD9 vaccinated tumors were found to have overall significantly less suppressive APCs in their TME—both the polymorphonuclear and the monocyte-derived MDSCs are lower (FIG. 10D). Event in the TAM compartment, the MHC-IIhi TAMs (TAM-1 and TAM-2) are significantly lower in the 3BD9 vaccinated tumors (FIG. 10D). The MHC-IIlow TAMs (TAM-3), however, are significantly higher. These TAMs are usually found in hypoxic conditions, as opposed to their MHC-IIhi counterparts (TAM-2), which are usually present in normoxic conditions (Movahedi et al. 2010). This could also explain the increased neo-vasculature observed near vaccinated tumors and could mean that vaccinated tumors are prone to increased necrosis due to low oxygen, hence their slower growth. The different TAMs also showed a high phenotypic variability, which was unprecedented, and also opens up many avenues for further exploration of this compartment.



FIGS. 11A and 11B show a gating strategy for detecting tumor-associated macrophages (TAMs) in the TME. (FIG. 11A) A pseudo-color scatter plot of MHC-II expression against Ly6C expression by tumor infiltrating lymphocytes. Gates were drawn according to expression levels of the markers based on FMO controls. The populations were categorized based on cells expressing various levels of each marker on their cell surface. (FIG. 11B) A panel of four scatter plots showing the ancestry of back-gating of the cell population to arrive at the graph in (FIG. 11A). Cells were first gated based on their forward scatter (FSC) to filter out doublets and clumps. They were then gated for the expression of the pan-lymphocyte marker CD45 on their cell surface. The next gating was based on cell size, and the last step before categorizing cells as TAMs, was gating for the expression of the macrophage marker CD11 b.


Tumors were harvested from mice at three stages of growth—small (200-300 mm3), medium (500-600 mm3), and large (800-900 mm3). With increase in tumor size, the MHC-IIhi TAMs in the TME of 3BD9 vaccinated tumors seemed to gradually lose Ly6G expression (FIG. 10E). Ly6G expression signifies a neutrophilic lineage, and hence renders the TME a more “inflammation-like” environment. This is important to note in the endeavor to change “cold” tumors into “hot” tumors. This is opposite to the phenotypes observed in the PBS vaccinated mice. These MHC-IIhi TAMs in the TME also produced minimal T cell stimulatory surface antigens (CD80) in comparison to those on PBS vaccinated mice, which appeared to reduce over time as the tumor grew (FIG. 10E). In the case of the MHC-IIlow TAMs, the difference was more distinct. The TAMs in the 3BD9 vaccinated mice maintained a high level of Ly6G expression throughout the tumor growth phase. In contrast, Ly6G expression in the TAMs infiltrating tumors of the PBS vaccinated mice remained almost negligible in the early stages of tumor growth, but became more significant as tumor grows, (FIG. 10F). The latter TAMs also showed a significantly higher level of expression of CD80 in comparison to the MHC-IIlow TAMs in the 3BD9 vaccinated tumors (FIG. 10F). Expression of the suppressive PD-L1 on the TAM-2 subtype increased as tumor grew in the 3BD9 vaccinated group and was significantly higher than the PBS vaccinated group. The inverse is true for the TAM-3 subtypes. Using these data, the overall mechanism of immune response in the tumor microenvironment after vaccination with irradiated CD47−/− 3BD9 cells can be comprehensively understood (FIGS. 12 and 12B).


After scrutinizing the important immune cell populations in the TME, the draining lymph node was then analyzed to understand the immune activity in vaccinated mice. The TDLNs are T cell repertoires and act as hubs for immune cell activity. APCs of multiple phenotypes from the tumor drain into the nearest lymph nodes, and the environment there facilitates the interactions between APCs and the effector cells (T cells, B cells, NK cells). Profiling the immune cell phenotypes in the TDLNs provided an overview of the type of response that would lead to tumor rejection or escape. In contrast to the TME, TDLNs of the 3BD9 vaccinated mice have significantly high populations of activated APCs, and much lower suppressive populations of APCs. A high population of CD11b effector and activated DCs and a low population of CD11b+ regulatory DCs were detected in the 3BD9 vaccinated mice (FIG. 13A), suggesting an efficient T cell stimulating environment in the TDLNs.



FIGS. 12A-12C show the immune response in the tumor microenvironment after vaccination with 3BD9 cells. The chart (FIG. 12B) depicts the immune activity as observed by analysis of the immune phenotypes infiltrating tumors post vaccination with CD47−/− 3BD9 cells. Green arrows and red arrows near cell subsets depict anti-tumorigenic and pro-tumorigenic cell types, respectively. Black arrows in the figure depict lineage, blue arrows depict activation, and red lines depict inhibition. Cell types are divided into sections based on their phenotypic characteristics. The antigen presenting cells subset shows activated M1-type macrophages and activated dendritic cells; the activated effector compartment includes Ki67+ T cells and NK cells; the exhausted T cell compartment consists of PD-1+ T cells; the tumor associated macrophage compartment includes the MHChi TAMs (TAM-2) and MHClow TAMs (TAM-3); and the myeloid derived suppressor cells are shown in a separate section. (FIG. 12A).



FIGS. 13A-13C show the immune activity in TDLNs of vaccinated mice. Multicolor flow cytometric phenotyping of (FIG. 13A) the dendritic cell and macrophage populations, (FIG. 13B) the ratio of MHChi/MHClow TAMs, and (FIG. 13C) the effector cell populations (CD4+ T cells, CD8+ T cells, and NK cells) in the TDLNs of PBS and 3BD9 vaccinated mice. In the PBS vaccination cohort, n=15. In the 3BD9 cohort, n=9. Immune cell phenotypes are presented as a percentage of the parent cell population. *p<0.5, **p<0.01,***p<0.001 by unpaired t test performed on GraphPad Prism.


M1-polarized macrophages showed a slight increase, but it was interesting to note that the 3BD9 vaccinated mice had higher populations of M2 macrophages. Conversely, one of the most potent subsets of MDSCs, the monocyte-derived MDSCs (CD11bhi Ly6G MHC-II+), were significantly lower in the TDLNs of the CD47−/− 3BD9 vaccinated mice (FIG. 13A). Higher levels of MHClow TAMs were detected in the TME than MHChi TAMs in the TDLNs of the 3BD9 vaccinated mice, and the ratio of MHChi/MHClow TAMs in these TDLNs was significantly lower (FIG. 13B). This may suggest, as mentioned above, that the migrating and antigen presenting macrophages are altering phenotypes to MHClow and expressing a defective phenotype due to tumors becoming more hypoxic. The next analysis was the effector cell populations in the TDLNs. The presence of significantly high populations of primed and proliferating T cell subsets was observed in the 3BD9 vaccinated lymph nodes (FIG. 13C). PD-1 expression on the CD4+ T cells also seemed to be higher in these mice, which could be a correlation to the increase in the M2-type macrophages and inefficient antigen presentation and T cell suppression. There was also an increased number of natural killer cells in the TDLNs (FIG. 13C).


Vaccinated Mice Maintain Homogenous TIL Populations Throughout Tumor Growth Period.


Examining the macroscopic changes occurring the TME after vaccination was important to provide a baseline for developing combination therapies. The alterations to immune cells' infiltration into tumors after vaccination are not limited to the difference in phenotypes of TILs. The levels or amounts of the several types of TILs in the TME is also a crucial factor in the immune modulation potential of vaccines. Many anti-tumor therapies rely on the percentages of TILs in tumors, and tumors often show extreme heterogeneity in infiltrating lymphocytes at various stages of development. An important effect of vaccination before a tumor implant is the maintenance of stable TIL amounts throughout the development of a tumor. In particular, the percentage of suppressive phenotypes of all TILs remains constant at all stages of tumor growth in vaccinated mice, when compared to vehicle controls. Analyzing levels of TAMs and MDSCs (FIGS. 14A-B), as well as T-regs and PD-1+ T cells (FIG. 14C) at three different stages of tumor growth, revealed that there is stability among these phenotypes in both the B16F10 and 3BD9 vaccinated tumors in comparison with the PBS vaccinated tumors. Since most immune checkpoint blockade therapies target these suppressive phenotypes, this is an important observation that could potentially alter dose escalation issues and minimize modulations in therapy.



FIGS. 14A-14C show homogeneity of suppressive TIL populations in vaccinated mice. Tumors at different stages of growth were analyzed for suppressive TIL populations in PBS vaccinated (black lines), irradiated B61F10 vaccinated (blue lines), and irradiated 3BD9 vaccinated (pink lines) mice. (FIG. 14A) Tumor-associated macrophages (TAMs), (FIG. 14B) myeloid derived suppressor cells (MDSCs), and (FIG. 14C) T-regs (CD4+CD25+FoxP3+) and PD-1+ T-cells are shown. The quantification was done at three stages of tumor growth—small (200-300 mm3), medium (500-600 mm3), and large (800-900 mm3). In the PBS vaccination cohort, n=5 for all three stages of tumor growth. In the CD47−/− 3BD9 cohort, n=4 (small), n=3 (medium), and n=2 (large). Immune cell phenotypes are presented as a percentage of the parent cell population. *p<0.5, **p<0.01, ***p<0.001 by unpaired t test performed on GraphPad Prism.


Preliminary Characterization of a STING Agonist as a Vaccine Adjuvant


The addition of adjuvants to vaccination regimes helps increase tumor specific immune cell infiltration to protect against an upcoming tumor challenge. To this end, addition of a STING pathway agonist—a cGAMP analog, 2′3′-c-di-AM(PS)2 (Rp,Rp)—was attempted as an adjuvant with irradiated whole-cell tumor vaccines following the immunization regime depicted in FIG. 15A. The adjuvant caused a significant delay in tumor growth (FIG. 15B) but did not enhance the overall effects of the CD47 depleted whole cell tumor vaccine. At the end of the 90-day observation regime, only 7% (1/15) of the mice were tumor free in the group that received the STING agonist, in comparison with the group that received only the irradiated 3BD9 vaccines without the adjuvant that had 33% (5/15) tumor-free mice (FIG. 15C).



FIGS. 15A-15C show the effect of STING agonist on tumor growth and protection against tumor challenge. (FIG. 15A) The study regime: 15 mice per group were vaccinated with either vehicle (PBS), irradiated 3BD9, or irradiated 3BD9 with a STING agonist adjuvant. 7 days later, there were given a tumor challenge using live B16F10 cells. (FIG. 15B) Tumor growth in mice from the three vaccination regimes. **p<0.01, ***p<0.001 by unpaired t test. (FIG. 15C) Percentage of tumor free mice after vaccination. ****p<0.0001 by the Mantel-Cox test.


Modulations to the Anti-Tumor Immune Response by STING Agonist


The STING agonist treatment in this study was a single subcutaneous dose of 10 μg per mouse along with the 0.5 million irradiated cells as part of the vaccination regime. It was sought to be determined whether the TIL phenotypes are altered by the addition of the adjuvant on the vaccinated groups. To study the immediate infiltration of the antigen presenting cells (DCs being the direct targets of the STING pathway agonist), this analysis was performed when the tumors were starting to grow and had reached a size of 200-300 mm3. As expected, there was a remarkable increase in the DCs infiltrating tumors and priming T cells in the TDLNs (FIGS. 16A and 16B). This enhancing effect of the STING agonist was observed on macrophages, which showed a significant increase in their activation and tumor infiltration. Otherwise, all through the various stages of tumor growth, the TILs of the 3BD9 groups vaccinated with a STING agonist behaved very similar to their non-adjuvant counterparts in that they showed an increase in the MHClow TAMs, and reduction in MHChi TAMs (FIG. 16C). Furthermore, they also showed a significant increase in activated (Ki67+) T cells as well as regulatory T cells in the effector cell compartment (FIG. 16D).



FIGS. 16A-1H show phenotypic changes in the TILs and tumor cells upon STING agonist vaccination. Flow cytometric immuno-phenotyping analysis of the macrophage and dendritic cell subsets in the (FIG. 16A) tumor microenvironment and the (FIG. 16B) draining lymph nodes of small tumors (200-300 mm3; n=5 for all three cohorts), and (FIGS. 16C and 16D) the TAM and T cell compartments in the tumor microenvironment of the all mice vaccinated with PBS, irradiated B16F10 with STING agonist, and irradiated 3BD9 with STING agonist (PBS vaccination cohort, n=15. Both STING agonist cohorts n=14). Additional analysis of (FIG. 16E) PD-L1 and (FIG. 16F) CD47 expression on tumors, (FIG. 16G) PD-L1 expression on dendritic cells, and (FIG. 16H) the presence of activated (Ki67+) NK cells in the tumor microenvironment was performed using multicolor flow cytometry for groups vaccinated with PBS, irradiated B16F10, irradiated B16F10 with STING agonist, irradiated 3BD9, and irradiated 3BD9 with STING agonist (PBS vaccination cohort, n=15. irradiated B16F10, n=13; irradiated 3BD9, n=9. Both STING agonist cohorts n=14). Immune cell phenotypes are presented as a percentage of the parent cell population. *p<0.5, **p<0.01, ***p<0.001 by unpaired t test performed on GraphPad Prism.


STING Agonist Increases Immune Evasion Marker Expression on Tumor Cells and Reduces NK Cell Activation


Next, to understand the mechanisms due to which the STING agonist seemed to dampen the anti-tumor effect and sustained tumor rejection due to the 3BD9 vaccines, the cell types in the tumor microenvironment in mice vaccinated with B16F10 and 3BD9 were studied both with and without the STING agonist as an adjuvant. A significant increase in PD-L1 expression on tumor cells as well as dendritic cells in 3BD9 vaccinated mice was discovered, along with a STING agonist (Scarlett et al. 2012; Tran Janco et al. 2015) (FIGS. 16E, 16G and 16H). This effect almost seemed to be a reversal from the less suppressive phenotype in the 3BD9 vaccinated mice to the more suppressive phenotype of the vehicle vaccinated mice. In the groups vaccinated with irradiated 3BD9, the stark reduction in tumor cell surface CD47 expression also seemed to be reversed upon the inclusion of a STING agonist in the vaccine (FIG. 16F). These observations suggest that the overall increase in the activated antigen presenting cells, also simultaneously leads to the tumors building more defenses in response to the specific cytokines and tumor-specific immune attacks. An increase in PD-L1 expression on DCs is suggestive of gradual loss of antigen presenting and T cell activation capability (Benencia et al. 2012; Keirsse et al. 2017; Dudek et al. 2013). Similarly, with increase in Type I IFNs and activated macrophages, the tumors started producing more PD-L1 and CD47 to combat the response. Another interesting observation was the significant reduction in the activated NK cells in STING agonist groups (FIG. 16H). NK cells are one of the most potent anti-tumor effector cells, and this observation is essential in understanding the downregulation of tumor specific immune response upon addition of a STING adjuvant to the whole-cell tumor vaccines.



FIG. 17 shows in vitro phagocytosis of CFSE-stained live, MMC-treated, and gamma irradiated CD47+/+ (WT) and CD47−/− cells by APC-F4/80-stained mouse bone marrow-derived macrophages. Phagocytosis was measured as a percentage of CFSE+F4/80+ macrophages and quantified by flow cytometry. The graph shows consolidated data from three independent experiments. Statistical analyses were performed on GraphPad Prism. **p<0.01, ***p<0.001.



FIGS. 18A and 18B show depletion of cell surface CD47 by the CRISPR/Cas9 method. CRISPR components were transfected into GVAX and MC-38 cells by electroporation, and single cell clones were sorted out post CRISPR knockout. Data shown on the histograms are for single cell clones GVAX-IFC (FIG. 18A), and MC38 IKC (FIG. 18B). Red peaks represent the CD47 expression on unedited WT cells (CD47+/+)—positive control. Orange peaks represent the isotype control, and blue peaks represent the CD47-depleted samples, in each case. CD47 staining was performed using an Alexa Fluor 647-tagged rat anti-mouse CD47 antibody (clone miap301). Samples were run on the BD FACS Aria II flow cytometer and analysis was performed using the FlowJo software.


All these outcomes proved important for charting out the specifics of an anti-tumor response after vaccination with irradiated CD47−/− tumor cells, which is pictorially represented in FIGS. 12A, 12B, 19A, and 19B. Therapies targeting PD-1 expressing T cells, and the regulatory compartment of the T cells would be very effective in enhancing tumor rejection. Also, the use of cytokines like GM-CSF to selectively increase the M1-type macrophages (Italiani et al. 2014) and reduce the MHClow TAM populations (Movahedi et al. 2010) can be employed as adjunct therapies to CD47-based vaccination. The expression of CTLA-4, TIM-3 and LAG-3 usually corresponds to the expression of PD-1 on T cells (Anderson et al. 2016; Wherry et al. 2015; Yi et al. 2010) and these can be potential combinations with the CD47 target. (Kooreman et al. 2018).


CD47, an extensively explored immune evasion target, has always been studied in the context of active blockade using a therapeutic antibody treatment. This cell surface antigen has the potential to alter immune response dramatically, as it functions at one of the earliest and most crucial stages of an immune response cascade (Nilsson et al. 2009). The correct cocktail of factors in the body that harnesses cytokine release, macrophage activation, and the presence of tumor-specific antibodies can vividly enhance the already positive effects of CD47 as an immunotherapeutic target. In parallel, vaccinations, as a method of eliciting immune responses, are imperative in developing anti-tumor therapies. The use of inactivated non-replicating tumor cells as vaccines utilizes the immunogenic potential of whole tumor cells—it circumvents the extensive processing of neoantigens and intra-tumoral components to develop an effective vaccine concoction. Tumor cells lacking CD47 expression were hypothesized to elicit a strong immune response against tumors. These cells would aid the accumulation of anti-tumor effector cells that can protect the body from tumor development (preventive vaccines) or even eliminate tumors (therapeutic vaccines) from the body. Tumor cells lacking CD47 confer a lasting immune response, even in live formats. The prophylactic feasibilities of using inactivated CD47 depleted cancer cells was also demonstrated.


CD47−/− inactivated tumor cells can serve as a vaccine to confer a lasting immunity in mice, where 33% (5/15) vaccinated mice remained tumor-free at the end of 90-days post tumor challenge. The mechanisms underlying the action of these vaccines have been elucidated. Extensive profiling the tumor infiltrating lymphocytes and the cells in the draining lymph nodes, revealed remarkable differences in the immune response orchestrated by vaccination. In the mice that exhibited a complete response to vaccination and did not develop tumors for 90 days post a tumor challenge, a significant increase in M1-type and corresponding decrease in the M2-type macrophages were found. The activated effector T cells (CD4+ and CD8+) were significantly higher, as expected. However, there was also a remarkable increase in the number of regulatory T cells as well as PD-1 expression on T cells. Anti-tumor immunity is conferred by the large numbers of highly activated effector cells as well as the anti-tumorigenic macrophages stimulated by the vaccine. (Kooreman et al. 2018).


Enhancement in the populations of anti-tumorigenic macrophages and activated effector cell types in mice vaccinated with CD47−/− whole-cell vaccines in comparison with their CD47+/+ counterparts confirmed the vital role played by CD47 in the efficacy of these vaccines. There was also unexpected extreme downregulation of cell surface CD47 by the tumor cells after vaccination with irradiated CD47−/− cells. The vaccinated tumors express almost no CD47, suggesting that the tumors might be reacting to the specific types of immune cell priming and response, which originated from cells that did not have cell surface CD47. This also suggests that the CD47 depletion from tumor cells had a very specialized effect on the anti-tumor immune response.


In the mice that showed delayed outgrowth of tumors after 3BD9 vaccination, there were significantly more effector cells infiltrating the tumor, which accounted for a delayed outgrowth. At the same time the activated antigen presenting cells (macrophages and DCs) were reduced in number, suggesting that multiple doses may prove more effective. It seemed that the regulatory T cell populations and the PD-1 expression on CD4+ T cells were elevated, signifying the anti-tumor and suppressive function of these cells leading to eventual tumor escape in these mice. An increase in tumor infiltrating NK cells in the CD47−/− vaccinated mice was constantly observed. Other studies have shown the dependence of NK cell-associated cytotoxicity on CD47 expression (Kim et al. 2008; Soto-Pantoja et al. 2014), and the present experiments confirmed that the absence of CD47 leads to higher amounts of active NK cell populations, leading to tumor containment and sustained rejection. Presence of prominent levels of functionally activated NK cells keeps the immune response consistently anti-tumorigenic Guillerey et al. 2016; Lowry et al. 2017). Other principal factors in a suppressive environment are TAMs and MDSCs. The MHC-IIlow TAMs were significantly elevated, suggesting that the tumors became more hypoxic in the CD47−/− 3BD9 vaccinated mice. These TAMs were also found to express high levels of Ly6G, the neutrophil lineage marker. Aside from the MHC-IIlow TAMs, all other suppressor cells, including the PMN- and Mo-MDSCs, were highly downregulated in the TME of CD47−/− vaccinated tumors, proving that they have an overall anti-tumorigenic environment.


An important consideration in the design of therapeutic regimes for actively growing tumors is the intensity of immune activity in the tumors (Lehmann et al. 2017; Lee et al. 2012). Cold tumors, hence, are often hard to treat just by therapeutics, and this also one of the reasons solid tumors in the first place are harder to treat with immunotherapeutic agents than liquid or systemic tumors. The immune infiltration was found not only to increase, but also a consistent composition was maintained throughout the phases of tumor growth after vaccination. The extreme heterogeneity that is characteristic of melanoma tumors, is reversed upon vaccination, and tumors harvested at the three stages of growth show more homogeneity in TIL populations, especially in the suppressive subsets. These tumors also show a gradual increase in the effector cell compartment as tumor progresses, an effect opposite to the one seen in the tumors of mice vaccinated with inactivated B16F10 cells, which distinguishes the two types of vaccines and emphasizes the involvement of CD47 as a target in this regime.


The stimulator of interferon genes (STING) is a protein present on the endoplasmic reticulum of cells and is activated by a stream of preceding signaling mechanisms that involve the recognition of pathogen- or tumor-associated DNA by dendritic cells (DCs). One of the most crucial players in this pathway is the cyclic GMP-AMP (cGAMP) synthase (cGAS) that produces cyclic dinucleotides, commonly annotated as 2′3′-cGAMP that activated STING directly (Sokolowska et al. 2018; Li et al. 2016). The activation of STING leads to the production of Type-I interferons (IFNs): IFN-α and IFN-β. These IFNs act both as a self-stimulatory signal that helps in the maturation of DCs and a T cell proliferation signal that leads to the priming, maturation, and proliferation of CD8+ cytotoxic T cells (CTLs). STING agonists have been used in the recent years to mediate anti-tumor immunity in solid tumors (Curran et al. 2016; Bullock et al. 2017). Also, the use of adjuvants to vaccines has been names as one of the most crucial elements in the design of vaccines (Overwijk et al. 2017; Bullock et al. 2017). STING has also been shown previously to be involved in the CD47 blockade-based mechanism of anti-tumor activity (Liu et al. 2015). For the purpose of this study, 2′3′-c-di-AM(PS)2 (Rp,Rp) VacciGrade™, a cyclic dinucleotide cGAMP analog, that directly activates the STING protein, was used in the vaccine solution as an adjuvant to elicit a tumor-specific immune response.


The addition of a STING pathway agonist to therapeutic regimes is shown to increase the infiltration of dendritic cells into the TME and help the development of effective anti-tumor T cell responses. In this study, however, the addition of a STING pathway agonist as a vaccine adjuvant did delay the tumor development significantly, but also seemed to dampen the effect of the vaccine and cause an inferior prognosis. The addition of the adjuvant significantly increased not only dendritic cell infiltration into tumors but also macrophage infiltration. The most glaring reasons for the seemingly inverse effect of the STING agonist on vaccine efficacy are a drastic increase in PD-L1 expression on tumor cells and DCs, and a remarkable reduction of activated NK cells in these mice. Studies have found previously the very alarming role DCs seem to play in the TME and non-specific activation of the DC compartment could be leading to an unprecedented effect in combination with the CD47-based regime (Benencia et al. 2012; Keirsse et al. 2017; Dudek et al. 2013; Merad et al. 2013). Additionally, the STING agonist seemed to reverse the earlier observed CD47 reduction on tumor cells and showed a significantly higher expression in comparison with the CD47−/− cell vaccine regime without the adjuvant. This adjuvant study was a preliminary, single-dose study, and the effects observed would help design a better method of employing the anti-tumor capabilities of STING pathway stimulation.


The present findings point to the fact that as a certain type of immune cell population increases in percentage, the regulatory or suppressive phenotypes of that population also increase correspondingly. An increase in M2-type and TAM populations was observed as compared to the M1-type and the activated subsets when macrophage populations are enlarged. Similarly, elevated amounts of activated T cell populations were found after CD47−/− vaccination, but also correspondingly found elevated levels of regulatory subsets of these T cells. In the STING adjuvant-treated groups, there was extremely high infiltration of DCs, but the PD-L1 expression on these DCs also increase dramatically, leading to a suboptimal scenario.


Cell Culture. The B16F10 (mouse melanoma) cell line was obtained from ATCC. The cells were cultured using high glucose DMEM (Gibco, MD) supplemented with 10% v/v Fetal Bovine Serum (FBS) (Sigma-Aldrich, MO). Mouse bone marrow derived macrophages (BMDMs) were obtained by flushing out the bone marrows of untreated mice, and culturing for 7 days in RPMI 1640 (Gibco, MD) supplemented with 10% v/v FBS.


CD47 knockout using CRISPR. The spCas9(BB)-2A-GFP (PX458) plasmid (Addgene, MA) containing the gRNA sequence targeting CD47, and the Cas9 and an eGFP separated by a T2A sequence was transfected into the B16F10 cells using the Viafect transfection kit (Promega, WI). The successfully transfected single cells were sorted into 96-well plates using a BD FACS Aria II sorter. Single cells were expanded and tested for biallelic knockout of CD47 using PCR, T7E1 mismatch assay, and Sanger's sequencing. Absence of the protein expression in genome edited cells was reconfirmed by immunofluorescence microscopy and flow cytometric analysis. Rat anti-mouse CD47 antibody clone miap301 (BD Biosciences, NJ) was used as a primary antibody to determine the absence of CD47 expression in edited cells. This antibody was used at a final concentration of 10 μg/mL (1:50 dilution). Goat anti-rat IgG tagged with AlexaFluor-488 (2 mg/mL) (Sigma-Aldrich, MO) was used as a secondary antibody. This antibody was used at a final concentration of 10 μg/mL (1:200 dilution).


The required gRNA sequence (in the form of a ligated double stranded DNA, Invitrogen, CA) was cloned into the cloning site of the plasmid under a U6 promoter, using restriction digestion. The cloning site was flanked by restriction sites for Bbsl enzyme (New England Biolabs, MA). Two gRNAs were used, targeting Exons 1 and 2 of the cd47 gene. The distance between the cut sites for these gRNAs was approx. 12.9 kb. Confirmation of knockout was done using a PCR primer set (MA-FP/MC-RP) (Eurofins Genomics, KY) flanking the cut sites. The deletion of the 12 kb fragment was visually analyzed by PCR (BioRad, CA) and gel electrophoresis.


In vitro phagocytosis assay. Macrophages were extracted from bone marrows flushed out from the femurs of naïve mice, plated on 10 cm dishes. The growth medium was supplemented with 10 μg/ml GM-CSF. The cells were cultured for 7 days—the growth medium was replaced every 3 days. 5×104 macrophages were co-cultured with 1×105 Carboxyfluorescein (CFSE)-labeled B16F10 tumor cells in RPMI 1640 (Gibco, MD) for 2 hours at 37° C. and 5% CO2 in the presence of 0.5 μg opsonizing antibodies, anti-CD47 miap301 (BD Biosciences, NJ) and anti-gp75 TA99 (BioXCell, NH). Macrophages were then stained with APC-tagged F4/80 (Biolegend, CA). Phagocytosis analysis was done on a BD FACS Aria II flow cytometer.


Vaccination and animal study. 7-week-old female C57BL/6 mice (Jackson Laboratory, ME) were housed in a pathogen-free facility in the vivarium of Binghamton University. All animal study procedures were approved by the Institutional Animal Care and Use Committee (IACUC) at Binghamton University.


5×105 B16F10 cells were implanted on the left flank of 7-week-old female C57BL/6 mice to induce the tumor development. The tumors were measured using calipers every alternate day after tumor growth was observed.


To prepare whole cell vaccines, CD47−/− B16F10 cells (Referred to as CD47−/− 3BD9) and CD47+/+ B16F10 cells (Referred to as B16 WT) were irradiated with 35Gy gamma irradiation using a Cs source (University of Rochester Medical Center).


Mice (15 animals per group) were vaccinated with 5×105 irradiated 3BD9 or B16 WT cells subcutaneously on the left flank and were challenged with 5×105 live B16F10 cells 7 days later. Two more cohorts of 15 mice each were vaccinated as mentioned above with 3BD9 and B16 WT along with 10 μg/mouse of a STING pathway agonist, 2′3′-c-di-AM(PS)2 (Rp,Rp) VacciGrade™ (InVivoGen).


Tumors and TDLNs at three different stages of tumor growth—small (200-300 mm3), medium (500-600 mm3), and large (800-900 mm3)—were collected from 5 mice per group after euthanasia by CO2 inhalation. For the mice that did not develop tumors, TDLNs alone were collected 90-days post tumor challenge. Organs were enzymatically digested and made into single cell suspensions for immunostaining.


Immunophenotyping. To determine the types of tumor infiltrating lymphocytes (TILs) and TDLN lymphocytes, single cell suspensions of the tumors and TDLNs were stained using two multicolor panels covering the APC compartment—macrophages (Mφ), dendritic cells (DCs), myeloid derived suppressor cells (MDSCs), and monocytes; and the effector cell compartment—cytotoxic T cells (CTLs), helper T cells (TH cells), memory cells, regulatory T cells (T-regs), natural killer (NK) cells, and activated effector cells. All pre-conjugated antibodies were purchased from Biolegend unless otherwise specified. Samples were run on LSR Fortessa flow cytometers (University of Rochester Medical Center Flow Core Facility) and analyzed using the FlowJo software v10 (TreeStar).


Statistical Analyses. All statistical analyses were performed on GraphPad Prism. The non-parametric Mantel-Cox test was used for survival and tumor-free mice data. For other correlative analyses either a one-way ANOVA or an unpaired t test was performed based on the number of groups being compared. The Shapiro-Wilk test was used to determine population distribution when necessary. 95% confidence interval was used in all analyses to accept or reject the null hypothesis.


Nucleofection of RNPs. For knocking out CD47 from GVAX cells (GM-CSF producing B16F10 cells), the ribonucleoprotein (RNP) method was used. gRNA (in the form of mRNA, Integrative DNA Technologies, IA)) was complexed with purified Cas9-3NLS protein in vitro (obtained from Integrative DNA Technologies, IA), and the mixture was added to GVAX cells and electroporated using the Neon Electroporation System (Invitrogen, CA). The cells were analyzed by flow cytometry (BD FACS Aria II) 6-9 days after electroporation, and CD47−/− cells were sorted for single cell colonies into 96-well plates using the BD FACS Aria II Cell Sorter. GVAX 1FC was chosen as the CD47−/− clone for further studies.


T7E1 mismatch assay. PCR products from CRISPR-edited cells were subjected thermal denaturation at 95° C. and cooled down at the rate of 0.1° C./min to 85° C., and then at the rate of 1° C./min to 25° C. Once cooled, 1U of the T7E1 enzyme (New England Biolabs, MA) was added to the mix and incubated at 37 C for 15 mins—the final volume of the mix was 20 μl. The reaction was stopped using 1.5 μl of 0.25M EDTA, and the digested were run on an agarose gel to check for indels in the cut site.


Immunofluorescence microscopy. Cells were plated on individual wells of a 6-well plate and maintained until they reached 70-80% confluency. The cells were washed with 1× D-PBS (Gibco, MD) once. Then they were fixed with 4% paraformaldehyde (PFA) at room temperature for 15 minutes, and washed twice with 1× D-PBS, followed by blocking with 0.5% BSA for 30 mins at room temperature. After blocking, the cells were incubated with primary antibody for 1 hour at 4° C. and washed once with 1×-DPBS. Secondary antibody was then added to the cells and incubated for 1 hour at 4° C. After another wash with 1×-DPBS, the cells were counterstained with a 1:1000 dilution of DAPI (Invitrogen, CA) at room temperature for 15 minutes. The cells were again washed twice with 1× D-PBS and viewed using a fluorescence microscope (Nikon, NY).


In vitro phagocytosis of GM-CSF producing B16F10 cells (GVAX). GVAX is a type of B16F10 mouse melanoma cell line that is genetically engineered to produce the cytokine granulocyte macrophage colony stimulating factor (GM-CSF). This cytokine is imperative in the growth, function, and maturation of myeloid derived granulocytes including macrophages and dendritic cells. The use of GVAX as a vaccination regime would mean the presence of GM-CSF as an innate adjuvant. Phagocytosis was performed with fresh BMDMs. 5×104 macrophages were co-cultured with 1×105 CFSE-labeled GVAX and B16F10 tumor cells for 2 hours at 37° C. and 5% CO2 in the presence of 0.5 μg opsonizing antibodies, anti-CD47 miap301 (BD Biosciences) and anti-gp75 TA99 (BioXCell). Macrophages were then stained with APC-tagged F4/80. Phagocytosis analysis was done on a BD FACS Aria II flow cytometer.


Phenotyping tumor cells. gp75 profiling for use of TA99 antibody as opsonizing agent in in vitro phagocytosis assay. The B16 WT and CD47−/− 3BD9 cells were treated with purified anti-mouse TA99 primary antibody (BioXCell), and then with a rat anti-mouse Alexa Fluor 488-tagged secondary antibody (Sigma). As a negative control, the same cells were treated with only the secondary antibody. Cells were analyzed by flow cytometry on the BD FACS Aria II.


CD47 profiling of irradiated cells for use as vaccines in vivo. The gamma irradiated cells used as vaccines—B16 WI and CD47−/− 3BD9 cells were stained for cell surface CD47 expression using an Alexa Fluor 647-tagged anti-CD47 antibody, clone miap301 (Biolegend), and analyzed on the BD FACS Aria II. Isotype control for the CD47 antibody, a rat IgG-k Alexa Fluor 647 (Biolegend), was used as a negative control.


Comparison of CD47−/− and WT melanoma tumor growth in vivo. Tumor implants. 5×105 B16F10 tumor cells (CD47−/− and WT) were implanted subcutaneously into the left flanks of 7-week-old female C57BL/6 mice. Tumor growth was observed every alternate day and tumors were measured using a Vernier caliper. Two separate experiments with 4 mice per group were performed to compare the tumor growth pattern. Another cohort of 15 mice per group was used to study tumor infiltrating lymphocytes and TDLN immunophenotypes at three different stages of tumor growth—small (200-300 mm3 tumors), medium (500-600 mm3 tumors), and large (800-900 mm3 tumors).


Organ Preparation and Immuno-Phenotyping.


Tumors. Tumors were harvested at the three stages mentioned above, stored and transported in media containing RPMI 1640 (Gibco), 2% FBS (Sigma), and 1× Pen-Strep antibiotic (Gibco) on ice. Tumors were then digested using 1 mg/ml Collagenase and 10 mg/ml DNase (Sigma) at 37° C. for one 20-minute cycle with intermittent high-speed vortexing, and another 20-minute cycle with intermittent vigorous pipetting. Homogenized suspensions were filtered using a 70 μm filter and suspended in FACS Buffer (1× PBS, 2% FBS, 2 mM EDTA (Gibco), and 25 mM HEPES (Gibco)) until use.


Lymph nodes. TDLNs were harvested from mice along with the tumors and transported separately in media containing RPMI 1640 (Gibco), 2% FBS (Sigma), and 1× Pen-Strep antibiotic (Gibco) on ice. TDLNs were cut into small pieces using a sharp scalpel and 26G needle (BD Biosciences). Fragments were placed in 2 ml warm Digest Buffer containing 1 mg/ml Collagenase and 10 mg/ml DNase and digested at 37° C. for 30 minutes with intermittent high-speed vortexing. Fragments were filtered using a 70 μm filter and suspended in FACS Buffer until use.


Immunostaining. Approximately 2-4 million cells from tumors and 0.5-1 million cells from TDLNs were transferred to non-treated U-bottom 96-well plates (Costar). Two multi-color panels were used for tumors and TDLNs—Panel T1 for tumors and Panel SL1 for TDLNs (containing all the antibodies for phenotyping the APC compartment, and tumor antigens), and Panel P2 for both (containing an antibody cocktail for phenotyping the effector cell compartment). All the antibodies used in this experiment were titrated using mouse melanoma tumors and the dilutions were optimized for use in the multi-color panels. CD16/CD32 Fc Block (Biolegend, CA) was used to block immune cell receptors along with the antibody cocktails. Cells were stained for extracellular antigens in FACS Buffer for 30 minutes on ice, and then fixed and permeabilized using the Transcription Factor Buffer Set (BD Biosciences) for 30 minutes at 4° C. The intracellular antigen staining was performed using the Perm/Wash Buffer from the set for 30 minutes at 4° C. Stained cells were stored in the dark at 4° C. in FACS Buffer until analysis by flow cytometry. Multi-color compensation was performed by staining polymer beads from the AbC Antibody Compensation Kit (Invitrogen) with the appropriate amounts of all antibodies used in the staining panels.

Claims
  • 1. A vaccine, comprising: a non-apoptotic senescent or mitosis-arrested irradiated cell which expresses a target antigen,wherein the cell has been genetically edited to:express a serpin protease inhibitor;knockout CD47;knockout PD-L1; andgenomically integrate a gene encoding GM-CSF.
  • 2. The vaccine according to claim 1, wherein the target antigen is a tumor-associated neoantigen.
  • 3. The vaccine according to claim 1, in a kit further comprising: a therapy selectively targeting at least one of PD-1 producing cells, CTLA-4 producing cells, LAG-3 producing cells, CD47 producing cells, and PD-L1 producing cells.
  • 4. The vaccine according to claim 1, wherein the non-apoptotic senescent or mitosis-arrested irradiated cell has been CRISPR edited to knockout CD47 expression.
  • 5. The vaccine according to claim 4, wherein the non-apoptotic senescent or mitosis-arrested irradiated cell is a genetically engineered senescent or mitosis-arrested cultured cell having at least one restriction endonuclease recognition site.
  • 6. The vaccine according to claim 5, wherein the non-apoptotic senescent or mitosis-arrested irradiated cell is derived from a neoplastic cell which expresses the target antigen.
  • 7. The vaccine according to claim 6, wherein the neoplastic cell is a melanoma cell.
  • 8. A method for preparing a vaccine, comprising: isolating a live cell which expresses at least one target antigen;genetically editing the live cell to: knockout expression of CD47,knockout expression of PD-L1,genomically integrate a gene encoding GM-CSF, andexpress a serpin protease inhibitor,while preserving expression of the at least one target antigen;expanding the genetically edited live cell by cell culture; andmodifying the cultured live cell by irradiation to ensure that it remains alive and non-apoptotic, but is incapable of proliferating after in vivo administration to a human patient.
  • 9. The method according to claim 8, further comprising obtaining the live cell from a human suffering from a neoplasia, wherein the live cell is a neoplastic cell, and readministering the modified cultured live cell to the human.
  • 10. The method according to claim 9, further comprising administering an immunostimulatory therapy selectively targeting cells producing at least one of CTLA-4, LAG-3, and CD47.
  • 11. The method according to claim 8, wherein the knockout of CD47 comprises knockout of CD47 by CRISPR-Cas9 gene editing.
  • 12. A vaccine, comprising: a non-apoptotic senescent or mitosis-arrested irradiated cell derived from a neoplastic cell which expresses a neoantigen;wherein the cell has been genetically edited to:express a serpin protease inhibitor;genomically integrate a gene encoding GM-CSF;knockout CD-47; andknockout PD-L1;and wherein the cell has been expanded before being made senescent or mitosis-arrested by irradiation; anda formulation adapted for administration to a patient.
  • 13. The vaccine according to claim 1, wherein CD47 is knocked out by a frameshift mutation of a gene producing CD47.
  • 14. The method according to claim 8, wherein the genetic editing to knockout CD47 comprises causing a frameshift mutation of a gene producing CD47 to knock out CD47.
  • 15. The vaccine according to claim 12, wherein CD47 is knocked out by a frameshift mutation of a gene producing CD47.
CROSS REFERENCE TO RELATED APPLICATIONS

The present application is a non-provisional of, and claims benefit of priority under 35 U.S.C. § 119(e) from U.S. Provisional Patent Application No. 62/743,404, filed Oct. 10, 2018, the entirety of which is expressly incorporated herein by reference.

US Referenced Citations (1854)
Number Name Date Kind
5152017 Jaeger Oct 1992 A
5616471 Yuspa Apr 1997 A
5631237 Dzau et al. May 1997 A
5709854 Griffith-Cima et al. Jan 1998 A
5756291 Griffin et al. May 1998 A
5859312 Littman et al. Jan 1999 A
6129761 Hubbell Oct 2000 A
6309635 Ingber et al. Oct 2001 B1
6340461 Terman Jan 2002 B1
6344441 Bihain et al. Feb 2002 B1
6372494 Naughton et al. Apr 2002 B1
6413735 Lau Jul 2002 B1
6673908 Stanton, Jr. Jan 2004 B1
6686179 Fleer et al. Feb 2004 B2
6759047 Kalluri Jul 2004 B1
6790606 Lau Sep 2004 B1
6805869 Guo Oct 2004 B2
6905688 Rosen et al. Jun 2005 B2
6905827 Wohlgemuth et al. Jun 2005 B2
6926898 Rosen et al. Aug 2005 B2
6946134 Rosen et al. Sep 2005 B1
6946444 Bihain et al. Sep 2005 B2
6962974 Kalluri Nov 2005 B1
6972322 Fleer et al. Dec 2005 B2
6974667 Horne et al. Dec 2005 B2
6987006 Fleer et al. Jan 2006 B2
6989365 Fleer et al. Jan 2006 B2
6994857 Rosen et al. Feb 2006 B2
7005276 Flegel et al. Feb 2006 B1
7026121 Wohlgemuth et al. Apr 2006 B1
7041478 Fleer et al. May 2006 B2
7045318 Ballance May 2006 B2
7056701 Fleer et al. Jun 2006 B2
7064185 Lau Jun 2006 B2
7081345 Roecklin et al. Jul 2006 B1
7081354 Fleer et al. Jul 2006 B2
7094577 Fleer et al. Aug 2006 B2
7118746 Naughton et al. Oct 2006 B1
7141363 Poznansky et al. Nov 2006 B2
7141547 Rosen et al. Nov 2006 B2
7189507 Mack et al. Mar 2007 B2
7208313 McCart et al. Apr 2007 B2
7220722 Bihain et al. May 2007 B2
7232683 Lau Jun 2007 B2
7235358 Wohlgemuth et al. Jun 2007 B2
7238667 Rosen et al. Jul 2007 B2
7244578 Hammond et al. Jul 2007 B2
7250496 Bentwich Jul 2007 B2
7252949 Flegel et al. Aug 2007 B2
7282556 Parkos Oct 2007 B2
7371734 Phillips et al. May 2008 B2
7378423 Kawasaki et al. May 2008 B2
7387779 Kalluri Jun 2008 B2
7408041 Bowdish et al. Aug 2008 B2
7410779 Fleer et al. Aug 2008 B2
7411052 Tang Aug 2008 B2
7415358 Mendrick et al. Aug 2008 B2
7426441 Mendrick et al. Sep 2008 B2
7427665 Bowdish et al. Sep 2008 B2
7435410 Fleer et al. Oct 2008 B2
7435412 Bowdish et al. Oct 2008 B2
7482013 Ballance et al. Jan 2009 B2
7498171 Hariri et al. Mar 2009 B2
7507413 Rosen et al. Mar 2009 B2
7507414 Rosen et al. Mar 2009 B2
7510843 Roecklin et al. Mar 2009 B2
7514229 Jamieson et al. Apr 2009 B2
7521424 Rosen et al. Apr 2009 B2
7521540 Lau et al. Apr 2009 B2
7531300 Nakamura et al. May 2009 B2
7550432 Ballance Jun 2009 B2
7553629 Flegel et al. Jun 2009 B2
7588767 Szalay et al. Sep 2009 B2
7588771 Szalay et al. Sep 2009 B2
7592010 Rosen et al. Sep 2009 B2
7592426 Ebel et al. Sep 2009 B2
7595159 Scherzer et al. Sep 2009 B2
7598353 Bowdish et al. Oct 2009 B2
7601355 Howard et al. Oct 2009 B2
7615372 Nicolaides et al. Nov 2009 B2
7622108 Collins et al. Nov 2009 B2
7632924 Cho et al. Dec 2009 B2
7645575 Wohlgemuth et al. Jan 2010 B2
7662398 Szalay et al. Feb 2010 B2
7666596 Halloran Feb 2010 B2
7691569 Wohlgemuth et al. Apr 2010 B2
7709256 Warren et al. May 2010 B2
7709257 Tew et al. May 2010 B2
7709616 Bentwich et al. May 2010 B2
7714110 Bowdish et al. May 2010 B2
7754221 Szalay et al. Jul 2010 B2
7771999 Warren et al. Aug 2010 B2
7775469 Poznansky et al. Aug 2010 B2
7777008 Ponath et al. Aug 2010 B2
7781212 Rock et al. Aug 2010 B2
7785806 Warren et al. Aug 2010 B2
7785883 Warren et al. Aug 2010 B2
7786270 Johnson et al. Aug 2010 B2
7794715 Utku Sep 2010 B2
7807150 Griffith et al. Oct 2010 B2
7807382 Zhou et al. Oct 2010 B2
7825099 Feinstein Nov 2010 B2
7829336 Fuchs et al. Nov 2010 B2
7846445 Schellenberger et al. Dec 2010 B2
7847079 Rosen et al. Dec 2010 B2
7855074 Warren et al. Dec 2010 B2
7855279 Schellenberger et al. Dec 2010 B2
7863418 Utku et al. Jan 2011 B2
7888050 Reagan et al. Feb 2011 B2
7892556 Freyberg et al. Feb 2011 B2
7915000 Bowdish et al. Mar 2011 B2
7931901 Utku et al. Apr 2011 B2
7935338 Fanger et al. May 2011 B2
7939083 Dey et al. May 2011 B2
7939263 Clarke et al. May 2011 B2
7939267 Moore et al. May 2011 B2
7960512 Stavenhagen et al. Jun 2011 B2
7993642 Tsunoda et al. Aug 2011 B2
7998460 Monje et al. Aug 2011 B2
8003385 Sukumar et al. Aug 2011 B2
8003387 Sukumar et al. Aug 2011 B2
8003774 Stavenhagen et al. Aug 2011 B2
8008073 Tsunoda et al. Aug 2011 B2
8014957 Radich et al. Sep 2011 B2
8021662 Szalay et al. Sep 2011 B2
8030070 Sanchez-Schmitz et al. Oct 2011 B2
8034903 Tsuchiya et al. Oct 2011 B2
8044178 Boghaert et al. Oct 2011 B2
8044180 Koenig et al. Oct 2011 B2
8044193 Nakamura et al. Oct 2011 B2
8062889 Warren et al. Nov 2011 B2
8067187 Gebbink et al. Nov 2011 B2
8071373 Warren et al. Dec 2011 B2
8071539 Rosen et al. Dec 2011 B2
8075884 Bowdish et al. Dec 2011 B2
8080416 Warren et al. Dec 2011 B2
8114403 Bowdish et al. Feb 2012 B2
8114617 Reagan et al. Feb 2012 B2
8114832 Gebbink et al. Feb 2012 B2
8119403 Warren et al. Feb 2012 B2
8124083 Grasso et al. Feb 2012 B2
8129340 Kroemer et al. Mar 2012 B2
8133982 Johnson et al. Mar 2012 B2
8138147 Naughton et al. Mar 2012 B2
8142791 Schirrmacher et al. Mar 2012 B2
8142994 Moorhouse et al. Mar 2012 B2
8148106 Fung et al. Apr 2012 B2
8158360 Heise et al. Apr 2012 B2
8158385 Ozaki et al. Apr 2012 B2
8187593 Koenig et al. May 2012 B2
8187877 Bowdish et al. May 2012 B2
8188232 Murphy et al. May 2012 B1
8192737 Stavenhagen et al. Jun 2012 B2
8193318 Koenig et al. Jun 2012 B2
8206710 Ebel et al. Jun 2012 B2
8206907 Milstein et al. Jun 2012 B2
8211439 Rosen et al. Jul 2012 B2
8216574 Stavenhagen et al. Jul 2012 B2
8216579 Johnson et al. Jul 2012 B2
8217147 Stavenhagen et al. Jul 2012 B2
8221769 Szalay et al. Jul 2012 B2
8236313 Isenberg et al. Aug 2012 B2
8247226 Sukumar et al. Aug 2012 B2
8252739 Rosen et al. Aug 2012 B2
8263344 Kroemer et al. Sep 2012 B2
8277812 Iannacone et al. Oct 2012 B2
8288159 Warren et al. Oct 2012 B2
8298823 Warren et al. Oct 2012 B2
8298824 Warren et al. Oct 2012 B2
8318492 Choo et al. Nov 2012 B2
8323959 Szalay et al. Dec 2012 B2
8329868 Fung et al. Dec 2012 B2
8343497 Shi et al. Jan 2013 B2
8343498 Alexis et al. Jan 2013 B2
8361485 Naughton et al. Jan 2013 B2
8361736 Majeti et al. Jan 2013 B2
8377448 Smith et al. Feb 2013 B2
8377902 Lai et al. Feb 2013 B2
8389691 Nicolaides et al. Mar 2013 B2
8404654 Feinstein Mar 2013 B2
8444972 Rock et al. May 2013 B2
8470815 Saulnier Sholler et al. Jun 2013 B2
8476231 Naughton et al. Jul 2013 B2
8481271 Galon et al. Jul 2013 B2
8481703 Ebel et al. Jul 2013 B2
8491913 Offner et al. Jul 2013 B2
8492328 Huang et al. Jul 2013 B2
8492530 Schellenberger et al. Jul 2013 B2
8506947 McCart et al. Aug 2013 B2
8507434 Popel et al. Aug 2013 B2
8513189 Rosen et al. Aug 2013 B2
8524237 Nicolaides et al. Sep 2013 B2
8524656 Galipeau et al. Sep 2013 B2
8530627 Koenig et al. Sep 2013 B2
8541033 Ito et al. Sep 2013 B2
8541185 Oved et al. Sep 2013 B2
8546541 Murphy et al. Oct 2013 B2
8557241 Sigal et al. Oct 2013 B2
8557788 Isenberg et al. Oct 2013 B2
8562997 Jaiswal et al. Oct 2013 B2
8562998 Shi et al. Oct 2013 B2
8586039 Tsuchiya et al. Nov 2013 B2
8591905 von Andrian et al. Nov 2013 B2
8628762 Blander et al. Jan 2014 B2
8629151 Zepp et al. Jan 2014 B2
8637028 Alexis et al. Jan 2014 B2
8647837 Mahmood et al. Feb 2014 B2
8652466 Stavenhagen et al. Feb 2014 B2
8658173 Ebel et al. Feb 2014 B2
8668926 Mousa et al. Mar 2014 B1
8669105 Sukumar et al. Mar 2014 B2
8691780 Lih et al. Apr 2014 B2
8697071 Stavenhagen et al. Apr 2014 B2
8697371 Warren et al. Apr 2014 B2
8709415 Bowdish et al. Apr 2014 B2
8709429 Majeti et al. Apr 2014 B2
8716465 Rossi et al. May 2014 B2
8722402 Warren et al. May 2014 B2
8728456 Sands et al. May 2014 B2
8728476 van den Berg May 2014 B2
8758750 Weissman et al. Jun 2014 B2
8759495 Boghaert et al. Jun 2014 B2
8765120 Chancellor et al. Jul 2014 B2
8778339 Tuaillon et al. Jul 2014 B2
8784808 Johnson et al. Jul 2014 B2
8784836 Szalay et al. Jul 2014 B2
8785599 Johnson et al. Jul 2014 B2
8790895 Fiedler et al. Jul 2014 B2
8791238 Fiedler et al. Jul 2014 B2
8802091 Johnson et al. Aug 2014 B2
8802093 Johnson et al. Aug 2014 B2
8802240 Davis et al. Aug 2014 B2
8802438 Rossi et al. Aug 2014 B2
8835398 Harats et al. Sep 2014 B2
8835443 Kawasaki et al. Sep 2014 B2
8840885 Bowdish et al. Sep 2014 B2
8840889 Chen Sep 2014 B2
8853382 Hammarstrom et al. Oct 2014 B2
8862448 Holmes et al. Oct 2014 B2
8865672 Isenberg et al. Oct 2014 B2
8871219 Heeney et al. Oct 2014 B2
8883506 Rossi et al. Nov 2014 B2
8883980 Umana et al. Nov 2014 B2
8889411 Hariri et al. Nov 2014 B2
8895000 Zhou et al. Nov 2014 B2
8906381 Iannacone et al. Dec 2014 B2
8906607 Duchateau et al. Dec 2014 B2
8920776 Gaiger et al. Dec 2014 B2
8932583 Mooney et al. Jan 2015 B2
8932595 Iannacone et al. Jan 2015 B2
8933197 Stemmer et al. Jan 2015 B2
8945543 Igawa et al. Feb 2015 B2
8946387 Koenig et al. Feb 2015 B2
8951517 Stavenhagen et al. Feb 2015 B2
8951527 Isenberg et al. Feb 2015 B2
8951737 Bander Feb 2015 B2
8962319 Warren et al. Feb 2015 B2
8962804 Williams et al. Feb 2015 B2
8968730 Koenig et al. Mar 2015 B2
8969289 Gosselin et al. Mar 2015 B2
8980864 Hoge et al. Mar 2015 B2
8986684 Wang Mar 2015 B2
8993517 Rosen et al. Mar 2015 B2
8999328 Bowdish et al. Apr 2015 B2
8999380 Bancel et al. Apr 2015 B2
8999654 Gaitanaris et al. Apr 2015 B2
9000133 Bowdish et al. Apr 2015 B2
9005613 Liu et al. Apr 2015 B2
9006254 Zepp et al. Apr 2015 B2
9012399 Cao et al. Apr 2015 B2
9017693 Freyberg et al. Apr 2015 B2
9018358 Schwarz et al. Apr 2015 B2
9028815 Stavenhagen et al. May 2015 B2
9045541 Eckelman et al. Jun 2015 B2
9045562 Murphy et al. Jun 2015 B2
9050279 Offner et al. Jun 2015 B2
9050297 Chakraborty et al. Jun 2015 B2
9061059 Chakraborty et al. Jun 2015 B2
9089604 Chakraborty et al. Jul 2015 B2
9095552 Chakraborty et al. Aug 2015 B2
9096877 Johnson et al. Aug 2015 B2
9107886 Chakraborty et al. Aug 2015 B2
9114113 Chakraborty et al. Aug 2015 B2
9115197 Ebel et al. Aug 2015 B2
9115388 Beg et al. Aug 2015 B2
9127292 Murphy et al. Sep 2015 B2
9132210 Mooney et al. Sep 2015 B2
9133239 Cao et al. Sep 2015 B2
9144614 Nicolaides et al. Sep 2015 B2
9144690 McDaniel Sep 2015 B2
9149506 Chakraborty et al. Oct 2015 B2
9150656 Johnson et al. Oct 2015 B2
9150661 Bowdish et al. Oct 2015 B2
9151760 Weissman et al. Oct 2015 B2
9156897 Alvarez et al. Oct 2015 B2
9175083 Cho et al. Nov 2015 B2
9181319 Schrum et al. Nov 2015 B2
9186372 de Fougerolles et al. Nov 2015 B2
9187544 Popel et al. Nov 2015 B2
9192651 Chakraborty et al. Nov 2015 B2
9193794 Lin et al. Nov 2015 B2
9193955 Majeti et al. Nov 2015 B2
9193977 Murphy et al. Nov 2015 B2
9198949 Susin et al. Dec 2015 B2
9201063 Sood et al. Dec 2015 B2
9205148 Langermann et al. Dec 2015 B2
9216205 Chakraborty et al. Dec 2015 B2
9220714 Saulnier Sholler et al. Dec 2015 B2
9220755 Chakraborty et al. Dec 2015 B2
9220788 Davis et al. Dec 2015 B2
9220792 Chakraborty et al. Dec 2015 B2
9221891 Bancel et al. Dec 2015 B2
9221896 Rosen et al. Dec 2015 B2
9221908 Frazier et al. Dec 2015 B2
9233072 Alexis et al. Jan 2016 B2
9233141 Chakraborty et al. Jan 2016 B2
9233154 Blander et al. Jan 2016 B2
9234896 Klock et al. Jan 2016 B2
9238084 Liu et al. Jan 2016 B2
9241994 Igawa Jan 2016 B2
9243069 Johnson et al. Jan 2016 B2
9249229 Bowdish et al. Feb 2016 B2
9254311 Bancel et al. Feb 2016 B2
9255129 Chakraborty et al. Feb 2016 B2
9271996 de Fougerolles et al. Mar 2016 B2
9279019 Dimitrov et al. Mar 2016 B2
9283287 Chakraborty et al. Mar 2016 B2
9289395 Davis et al. Mar 2016 B2
9295689 de Fougerolles et al. Mar 2016 B2
9296801 Alvarez et al. Mar 2016 B2
9296809 Rosen et al. Mar 2016 B2
9296820 Umana et al. Mar 2016 B2
9297005 Huebsch et al. Mar 2016 B2
9301993 Chakraborty et al. Apr 2016 B2
9303079 Chakraborty et al. Apr 2016 B2
9308280 Shi et al. Apr 2016 B2
9309510 La Porte et al. Apr 2016 B2
9315824 Kuroiwa et al. Apr 2016 B2
9320813 Peyman Apr 2016 B2
9328346 Lee et al. May 2016 B2
9334328 Schrum et al. May 2016 B2
9334329 Lin et al. May 2016 B2
9339519 Ayares May 2016 B2
9340584 Wolfe et al. May 2016 B2
9352004 Chancellor et al. May 2016 B2
9352037 van den Berg May 2016 B2
9358282 Cobbold et al. Jun 2016 B2
9370558 Ali et al. Jun 2016 B2
9381235 Sands et al. Jul 2016 B2
9382285 Chan et al. Jul 2016 B2
9382320 Liu et al. Jul 2016 B2
9393396 Peyman Jul 2016 B2
9394365 Eisenbach-Schwartz et al. Jul 2016 B1
9399679 Utku Jul 2016 B2
9399682 Jaiswal et al. Jul 2016 B2
9402377 Flavell et al. Aug 2016 B2
9402916 Cobbold et al. Aug 2016 B2
9428535 de Fougerolles et al. Aug 2016 B2
9428553 Williams et al. Aug 2016 B2
9439859 Alexis et al. Sep 2016 B2
9441049 Johnson et al. Sep 2016 B2
9446107 Mooney et al. Sep 2016 B2
9447164 Schrum et al. Sep 2016 B2
9452228 Liu et al. Sep 2016 B2
9458486 Naughton et al. Oct 2016 B2
9460263 Holmes et al. Oct 2016 B2
9462794 Murphy et al. Oct 2016 B2
9463217 Colin Aronovicz et al. Oct 2016 B1
9464124 Bancel et al. Oct 2016 B2
9469692 Johnson et al. Oct 2016 B2
9474717 von Andrian et al. Oct 2016 B2
9486512 Kim et al. Nov 2016 B2
9487587 Koenig Nov 2016 B2
9492499 Jaynes et al. Nov 2016 B2
9492534 Szalay et al. Nov 2016 B2
9492536 Offner et al. Nov 2016 B2
9492566 Goldenberg et al. Nov 2016 B2
9493569 Igawa et al. Nov 2016 B2
9493575 Jaiswal et al. Nov 2016 B2
9498536 Mousa et al. Nov 2016 B2
9504236 Bradley et al. Nov 2016 B2
9505842 Zhou et al. Nov 2016 B2
9512225 Eisenbach-Schwartz et al. Dec 2016 B2
9512227 Eisenbach-Schwartz et al. Dec 2016 B2
9517276 Lowman et al. Dec 2016 B2
9518116 Frazier et al. Dec 2016 B2
9518117 Frazier et al. Dec 2016 B2
9522195 Grasso et al. Dec 2016 B2
9522944 Rapraeger et al. Dec 2016 B2
9526702 von Andrian et al. Dec 2016 B2
9527901 Jing Dec 2016 B2
9533047 de Fougerolles et al. Jan 2017 B2
9534052 Eisenbach-Schwartz et al. Jan 2017 B2
9539210 von Andrian et al. Jan 2017 B2
9539245 Peters Jan 2017 B2
9539309 Cao et al. Jan 2017 B2
9540424 Gosselin et al. Jan 2017 B2
9546206 Ring et al. Jan 2017 B2
9562073 Moore et al. Feb 2017 B2
9562087 Ring et al. Feb 2017 B2
9566250 Mahmood et al. Feb 2017 B2
9572897 Bancel et al. Feb 2017 B2
9574014 Williams et al. Feb 2017 B2
9574211 Gregory et al. Feb 2017 B2
9579300 Mousa et al. Feb 2017 B2
9585920 Kovarik et al. Mar 2017 B2
9587003 Bancel et al. Mar 2017 B2
9597357 Gregory et al. Mar 2017 B2
9597380 Chakraborty et al. Mar 2017 B2
9598492 Dimitrov et al. Mar 2017 B2
9603878 Berry et al. Mar 2017 B2
9603894 Cao et al. Mar 2017 B2
9605076 Jaiswal et al. Mar 2017 B2
9610328 Mooney et al. Apr 2017 B2
9611329 Jaiswal et al. Apr 2017 B2
9611458 Konno et al. Apr 2017 B2
9624276 Young et al. Apr 2017 B2
9624297 Grasso et al. Apr 2017 B2
9624305 Jaiswal et al. Apr 2017 B2
9625444 Warren et al. Apr 2017 B2
9629877 Cooper et al. Apr 2017 B2
9639660 Shin et al. May 2017 B2
9644005 Qian et al. May 2017 B2
9644180 Kahvejian et al. May 2017 B2
9650440 Grasso et al. May 2017 B2
9650441 Grosveld et al. May 2017 B2
9650445 Cobbold et al. May 2017 B2
9655352 Murphy et al. May 2017 B2
9657105 Forman et al. May 2017 B2
9657295 Schrum et al. May 2017 B2
9663575 Eckelman et al. May 2017 B2
9669108 Williams et al. Jun 2017 B2
9670205 Aktoudianakis et al. Jun 2017 B2
9670269 Igawa et al. Jun 2017 B2
9670281 Lim et al. Jun 2017 B2
9675561 Bencherif et al. Jun 2017 B2
9675668 Bancel et al. Jun 2017 B2
9676856 Chen Jun 2017 B2
9677125 Sood et al. Jun 2017 B2
9682934 Stafford et al. Jun 2017 B2
9693954 Mooney et al. Jul 2017 B2
9694084 Bradner et al. Jul 2017 B2
9700027 Murphy et al. Jul 2017 B2
9701758 Cooper et al. Jul 2017 B2
9701965 Schrum et al. Jul 2017 B2
9708333 Li et al. Jul 2017 B2
9708408 Stavenhagen et al. Jul 2017 B2
9714295 Johnson et al. Jul 2017 B2
9714296 Johnson et al. Jul 2017 B2
9717694 Green et al. Aug 2017 B2
9726668 Oved et al. Aug 2017 B2
9726676 Grabe et al. Aug 2017 B2
9730967 Kovarik et al. Aug 2017 B2
9737480 Lu et al. Aug 2017 B2
9737599 Tuaillon et al. Aug 2017 B2
9738646 Brown et al. Aug 2017 B2
9738724 Thanos et al. Aug 2017 B2
9745367 Bansal Aug 2017 B2
9750709 Mousa et al. Sep 2017 B2
9750814 Procko et al. Sep 2017 B2
9750816 Bradner et al. Sep 2017 B2
9757196 Moss et al. Sep 2017 B2
9764039 Thanos et al. Sep 2017 B2
9764145 Callas et al. Sep 2017 B2
9765143 Jaiswal et al. Sep 2017 B2
9770512 Bradner et al. Sep 2017 B2
9770517 Govindan et al. Sep 2017 B2
9770535 Mooney et al. Sep 2017 B2
9771428 Weiskopf et al. Sep 2017 B2
9775332 Kuroiwa et al. Oct 2017 B2
9777061 Ebersbach et al. Oct 2017 B2
9777066 Igawa Oct 2017 B2
9782462 Bancel et al. Oct 2017 B2
9783593 Bradley et al. Oct 2017 B2
9783618 Friedrich et al. Oct 2017 B2
9788534 Bradley et al. Oct 2017 B2
9789171 Poznansky et al. Oct 2017 B2
9790275 Van Den Berg Oct 2017 B2
9790490 Zhang et al. Oct 2017 B2
9790503 Zeng Oct 2017 B2
9796781 Majeti et al. Oct 2017 B2
9796783 Ågerstam et al. Oct 2017 B2
9803016 Grosveld et al. Oct 2017 B2
9803177 Rossi et al. Oct 2017 B2
9804160 Haura Oct 2017 B2
9809581 Chen et al. Nov 2017 B2
9814760 Bancel et al. Nov 2017 B2
9815901 Brogdon et al. Nov 2017 B2
9816080 Lu et al. Nov 2017 B2
9816094 Lee et al. Nov 2017 B2
9820476 Flavell et al. Nov 2017 B2
9821045 Ali et al. Nov 2017 B2
9821068 Bradner et al. Nov 2017 B2
9822180 Cobbold et al. Nov 2017 B2
9827329 Li Nov 2017 B2
9827332 Bancel et al. Nov 2017 B2
9828416 Bancel et al. Nov 2017 B2
9834545 Chen et al. Dec 2017 B2
9834608 Lim et al. Dec 2017 B2
9834787 Gregory et al. Dec 2017 B2
9834790 Pauza et al. Dec 2017 B1
9834791 Zhang et al. Dec 2017 B2
9839208 Flavell et al. Dec 2017 B2
9839614 Mousa et al. Dec 2017 B2
9839687 Zhao Dec 2017 B2
9840493 Yang et al. Dec 2017 B2
9840503 Sun et al. Dec 2017 B2
9845345 Ring et al. Dec 2017 B2
9849092 Peyman Dec 2017 B2
9850483 Clarke et al. Dec 2017 B2
9856314 Lowman et al. Jan 2018 B2
9856318 Eisenbach-Schwartz et al. Jan 2018 B2
9856479 Lee et al. Jan 2018 B2
9856497 Qi et al. Jan 2018 B2
9862705 Jia et al. Jan 2018 B2
9862927 Banchereau et al. Jan 2018 B2
9872900 Ciaramella et al. Jan 2018 B2
9873734 Fung et al. Jan 2018 B2
9873747 Tykocinski Jan 2018 B2
9878056 Bancel et al. Jan 2018 B2
9884112 Zepp et al. Feb 2018 B2
9884813 Martinez et al. Feb 2018 B1
9884893 Glanville Feb 2018 B2
9888673 Hering et al. Feb 2018 B2
9888956 Model et al. Feb 2018 B2
9889141 Yen et al. Feb 2018 B2
9889164 Falb et al. Feb 2018 B2
9894888 Garcia et al. Feb 2018 B2
9895189 Pearson Feb 2018 B2
9895451 Saltzman et al. Feb 2018 B2
9896508 Johnson et al. Feb 2018 B2
9896516 Bradley et al. Feb 2018 B2
9901082 Flavell et al. Feb 2018 B2
9901083 Murphy et al. Feb 2018 B2
9902771 Boghaert et al. Feb 2018 B2
9902970 Kuroiwa et al. Feb 2018 B2
9914759 Tavernier et al. Mar 2018 B2
9914774 de Sauvage et al. Mar 2018 B2
9914938 Pauza et al. Mar 2018 B2
9920122 van den Berg Mar 2018 B2
9920295 Discher et al. Mar 2018 B2
9920317 Lee et al. Mar 2018 B2
9924705 Liang et al. Mar 2018 B2
9925183 May Mar 2018 B2
9925247 Liu et al. Mar 2018 B2
9925277 Almarsson et al. Mar 2018 B2
9932591 Lee et al. Apr 2018 B2
9937233 Schrum et al. Apr 2018 B2
9937249 Kim et al. Apr 2018 B2
9938331 Schellenberger et al. Apr 2018 B2
9938345 Papadopoulos et al. Apr 2018 B2
9938357 Bradley et al. Apr 2018 B2
9938358 Bradley et al. Apr 2018 B2
9939443 Spetzler et al. Apr 2018 B2
9944647 He et al. Apr 2018 B2
9950068 De Fougerolles et al. Apr 2018 B2
9951065 Bartlett et al. Apr 2018 B2
9958448 Halbert et al. May 2018 B2
9963716 Bradley et al. May 2018 B2
9969789 Uger et al. May 2018 B2
9974774 Garner et al. May 2018 B2
9981975 Li et al. May 2018 B2
9982047 Eisenbach-Schwartz et al. May 2018 B2
9982048 Eisenbach-Schwartz et al. May 2018 B2
9982049 Eisenbach-Schwartz et al. May 2018 B2
9982050 Eisenbach-Schwartz et al. May 2018 B2
9982051 Eisenbach-Schwartz et al. May 2018 B2
9982057 Schreiber May 2018 B2
9986724 Flavell et al. Jun 2018 B2
9987500 Papadopoulos et al. Jun 2018 B2
9988408 Zhao Jun 2018 B2
9988448 Schwarz et al. Jun 2018 B2
9988452 Freeman et al. Jun 2018 B2
9993460 Garner et al. Jun 2018 B2
9993563 Ziv Jun 2018 B2
9994527 Stafford et al. Jun 2018 B2
9994821 Keller et al. Jun 2018 B2
20010026937 Punnonen et al. Oct 2001 A1
20020006397 Roberts et al. Jan 2002 A1
20020037279 Vandenburgh Mar 2002 A1
20020039786 Reid et al. Apr 2002 A1
20020102278 Guo Aug 2002 A1
20020142981 Horne et al. Oct 2002 A1
20020150986 Lau Oct 2002 A1
20020151498 Bihain et al. Oct 2002 A1
20020165154 Bihain et al. Nov 2002 A1
20020177551 Terman Nov 2002 A1
20020182188 Reid et al. Dec 2002 A1
20030026803 Barclay Feb 2003 A1
20030031681 McCart et al. Feb 2003 A1
20030032034 Tang Feb 2003 A1
20030064053 Liu et al. Apr 2003 A1
20030124614 Utku et al. Jul 2003 A1
20030129202 Trepo et al. Jul 2003 A1
20030138432 Glazier Jul 2003 A1
20030144494 Algate et al. Jul 2003 A1
20030148316 Lipford et al. Aug 2003 A1
20030157113 Terman Aug 2003 A1
20030162230 Reagan et al. Aug 2003 A1
20030202977 Amin et al. Oct 2003 A1
20030228570 Yat Wah Tom et al. Dec 2003 A1
20030235561 Vandenburgh et al. Dec 2003 A1
20030235909 Hariri et al. Dec 2003 A1
20040002124 Lau et al. Jan 2004 A1
20040005563 Mack et al. Jan 2004 A1
20040009479 Wohlgemuth et al. Jan 2004 A1
20040010119 Guo et al. Jan 2004 A1
20040029114 Mack et al. Feb 2004 A1
20040033493 Tchernev et al. Feb 2004 A1
20040043010 Vandenburgh Mar 2004 A1
20040047858 Blumberg et al. Mar 2004 A1
20040058883 Phillips et al. Mar 2004 A1
20040072160 Mendrick et al. Apr 2004 A1
20040076955 Mack et al. Apr 2004 A1
20040077601 Adams et al. Apr 2004 A1
20040106120 Tazi-Ahnini et al. Jun 2004 A1
20040110227 Levanon et al. Jun 2004 A1
20040142885 Paul et al. Jul 2004 A1
20040147731 Parkos Jul 2004 A1
20040214783 Terman Oct 2004 A1
20050005316 Lau Jan 2005 A1
20050031643 Szalay et al. Feb 2005 A1
20050069549 Herman Mar 2005 A1
20050084490 Adams et al. Apr 2005 A1
20050112141 Terman May 2005 A1
20050118164 Herman Jun 2005 A1
20050118715 Hariri et al. Jun 2005 A1
20050123522 Punnonen et al. Jun 2005 A1
20050136066 Guo Jun 2005 A1
20050142539 Herman Jun 2005 A1
20050142587 Zlot et al. Jun 2005 A1
20050148072 Reid et al. Jul 2005 A1
20050169914 Colgan et al. Aug 2005 A1
20050181375 Aziz et al. Aug 2005 A1
20050220789 Utku et al. Oct 2005 A1
20050221435 Acres et al. Oct 2005 A1
20050255114 Labat et al. Nov 2005 A1
20050271659 Utku et al. Dec 2005 A1
20050282177 Seto et al. Dec 2005 A1
20060003322 Bentwich Jan 2006 A1
20060014768 Kawasaki et al. Jan 2006 A1
20060019256 Clarke et al. Jan 2006 A1
20060040392 Collins et al. Feb 2006 A1
20060051370 Szalay et al. Mar 2006 A1
20060051803 Wohlgemuth et al. Mar 2006 A1
20060063156 Willman et al. Mar 2006 A1
20060073591 Abitorabi et al. Apr 2006 A1
20060074034 Collins et al. Apr 2006 A1
20060078540 Warren et al. Apr 2006 A1
20060078900 Mendrick et al. Apr 2006 A1
20060084055 Gaiger et al. Apr 2006 A1
20060084167 Cohenford et al. Apr 2006 A1
20060088522 Boghaert et al. Apr 2006 A1
20060088820 Perron et al. Apr 2006 A1
20060088836 Wohlgemuth et al. Apr 2006 A1
20060104987 Flegel et al. May 2006 A1
20060111312 Eshleman et al. May 2006 A1
20060122132 Touw et al. Jun 2006 A1
20060134109 Gaitanaris et al. Jun 2006 A1
20060134122 Rapraeger et al. Jun 2006 A1
20060134664 Scherzer et al. Jun 2006 A1
20060149049 Tang Jul 2006 A1
20060153860 Cho et al. Jul 2006 A1
20060165684 Utku Jul 2006 A1
20060171988 Hilf et al. Aug 2006 A1
20060188508 Cohen et al. Aug 2006 A1
20060199204 Dix et al. Sep 2006 A1
20060199231 Moore et al. Sep 2006 A1
20060222588 Sandberg et al. Oct 2006 A1
20060223121 Roecklin et al. Oct 2006 A1
20060239910 Nicolaides et al. Oct 2006 A1
20060239911 Nicolaides et al. Oct 2006 A1
20060241067 Varner et al. Oct 2006 A1
20060251646 Utku Nov 2006 A1
20060257903 Akil et al. Nov 2006 A1
20060257965 Lau Nov 2006 A1
20060263783 Podhajcer et al. Nov 2006 A1
20060263803 Tang Nov 2006 A1
20060263813 Rosenberg et al. Nov 2006 A1
20060269949 Halloran Nov 2006 A1
20060292143 Utku et al. Dec 2006 A1
20060292683 Gebbink et al. Dec 2006 A1
20060293708 Voss Dec 2006 A1
20070015206 Gebbink et al. Jan 2007 A1
20070025981 Szalay et al. Feb 2007 A1
20070031890 Wohlgemuth et al. Feb 2007 A1
20070041904 Jiang et al. Feb 2007 A1
20070041981 Howard et al. Feb 2007 A1
20070071745 Umana et al. Mar 2007 A1
20070077232 Naughton et al. Apr 2007 A1
20070099209 Clarke et al. May 2007 A1
20070105133 Clarke et al. May 2007 A1
20070111238 Jamieson et al. May 2007 A1
20070134657 Poznansky et al. Jun 2007 A1
20070134690 Pascual et al. Jun 2007 A1
20070135393 Monje et al. Jun 2007 A1
20070154458 McCart et al. Jul 2007 A1
20070154931 Radich et al. Jul 2007 A1
20070161587 Collins et al. Jul 2007 A1
20070190078 Mills et al. Aug 2007 A1
20070202572 Szalay et al. Aug 2007 A1
20070209082 Lih et al. Sep 2007 A1
20070212727 Szalay et al. Sep 2007 A1
20070219125 Cojocaru et al. Sep 2007 A1
20070231333 Boghaert et al. Oct 2007 A1
20070243177 Newgard et al. Oct 2007 A1
20070269432 Nakamura et al. Nov 2007 A1
20080020979 Rapraeger et al. Jan 2008 A1
20080026980 Utku et al. Jan 2008 A1
20080039341 Schellenberger et al. Feb 2008 A1
20080047026 Fuchs et al. Feb 2008 A1
20080050374 Cho et al. Feb 2008 A1
20080051565 Tang Feb 2008 A1
20080057508 Flegel et al. Mar 2008 A1
20080076715 Tang Mar 2008 A1
20080081038 Cho et al. Apr 2008 A1
20080085277 Cho et al. Apr 2008 A1
20080102054 Faustman May 2008 A1
20080108583 Feinstein May 2008 A1
20080118529 Gebbink et al. May 2008 A1
20080131431 Smith et al. Jun 2008 A1
20080207488 Gebbink et al. Aug 2008 A1
20080213839 Tang Sep 2008 A1
20080214452 Obeid Sep 2008 A1
20080227712 Tang Sep 2008 A1
20080249009 Bihain et al. Oct 2008 A1
20080249606 Gebbink et al. Oct 2008 A1
20080260744 Gaitanaris et al. Oct 2008 A1
20080268453 Seto et al. Oct 2008 A1
20080274091 Slepushkin et al. Nov 2008 A1
20080286808 Schellenberger et al. Nov 2008 A1
20080292546 Clarke et al. Nov 2008 A1
20080292615 Tazi-Ahnini et al. Nov 2008 A1
20080305965 Moorhouse et al. Dec 2008 A1
20080306004 Tang Dec 2008 A1
20080312228 Kawasaki et al. Dec 2008 A1
20090004134 Obeid Jan 2009 A1
20090004172 Obeid Jan 2009 A1
20090004178 Obeid Jan 2009 A1
20090004211 Obeid Jan 2009 A1
20090004678 Obeid Jan 2009 A1
20090005302 Obeid Jan 2009 A1
20090005305 Obeid Jan 2009 A1
20090010908 Gow et al. Jan 2009 A1
20090010952 Obeid Jan 2009 A1
20090041825 Kotov et al. Feb 2009 A1
20090048159 Obeid Feb 2009 A1
20090048266 Heise et al. Feb 2009 A1
20090075877 Tang Mar 2009 A1
20090081228 Lau et al. Mar 2009 A1
20090092582 Bogin et al. Apr 2009 A1
20090099031 Stemmer et al. Apr 2009 A1
20090104195 Herman Apr 2009 A1
20090104628 Reagan et al. Apr 2009 A1
20090123503 Naughton et al. May 2009 A1
20090136917 Szalay et al. May 2009 A1
20090155254 Gebbink et al. Jun 2009 A1
20090156786 Zlot et al. Jun 2009 A1
20090163434 Bader et al. Jun 2009 A1
20090175827 Byrom et al. Jul 2009 A1
20090178153 Gaitanaris et al. Jul 2009 A1
20090181863 Milstein et al. Jul 2009 A1
20090186073 Yamazaki et al. Jul 2009 A1
20090191202 Jamieson et al. Jul 2009 A1
20090191548 Berlin et al. Jul 2009 A1
20090192102 Bader et al. Jul 2009 A1
20090203588 Willman et al. Aug 2009 A1
20090215053 Galon et al. Aug 2009 A1
20090226406 Hariri et al. Sep 2009 A1
20090227025 Nichols et al. Sep 2009 A1
20090227533 Bader et al. Sep 2009 A1
20090232893 Bader et al. Sep 2009 A1
20090258002 Barrett et al. Oct 2009 A1
20090280124 Labat et al. Nov 2009 A1
20090280135 Offner et al. Nov 2009 A1
20090286856 Nakamura et al. Nov 2009 A1
20090324594 Nicolaides et al. Dec 2009 A1
20100008946 Szalay et al. Jan 2010 A1
20100015126 Gebbink et al. Jan 2010 A1
20100015653 Kroemer et al. Jan 2010 A1
20100016235 Kroemer et al. Jan 2010 A1
20100021454 Nicolaides et al. Jan 2010 A1
20100021483 Boghaert et al. Jan 2010 A1
20100029746 Feinstein Feb 2010 A1
20100041875 Dey et al. Feb 2010 A1
20100047276 Heeney et al. Feb 2010 A1
20100062007 Schirrmacher et al. Mar 2010 A1
20100062016 Szalay et al. Mar 2010 A1
20100068147 Hibberd et al. Mar 2010 A1
20100092425 von Andrian et al. Apr 2010 A1
20100092467 Isenberg et al. Apr 2010 A1
20100092989 Wohlgemuth et al. Apr 2010 A1
20100093556 Clarke et al. Apr 2010 A1
20100104582 Vignery et al. Apr 2010 A1
20100105054 Wong et al. Apr 2010 A1
20100105066 Halloran Apr 2010 A1
20100112568 Achiron et al. May 2010 A1
20100120043 Sood et al. May 2010 A1
20100129392 Shi et al. May 2010 A1
20100129439 Alexis et al. May 2010 A1
20100137149 Shin et al. Jun 2010 A1
20100143372 Yao et al. Jun 2010 A1
20100173024 McDaniel Jul 2010 A1
20100173382 Boghaert et al. Jul 2010 A1
20100183727 Iannacone et al. Jul 2010 A1
20100184032 Georgantas et al. Jul 2010 A1
20100189682 Schellenberger et al. Jul 2010 A1
20100196426 Skog et al. Aug 2010 A1
20100197015 Reid et al. Aug 2010 A1
20100203010 Hariharan et al. Aug 2010 A1
20100233199 Silva et al. Sep 2010 A1
20100233251 Von Andrian et al. Sep 2010 A1
20100233808 Reid et al. Sep 2010 A1
20100239579 Smith et al. Sep 2010 A1
20100240613 Kawasaki et al. Sep 2010 A1
20100240732 Gilboa Sep 2010 A1
20100247562 Gong et al. Sep 2010 A1
20100254981 Sigal et al. Oct 2010 A1
20100260706 Bogin et al. Oct 2010 A1
20100261172 Yao et al. Oct 2010 A1
20100261190 Zlot et al. Oct 2010 A1
20100267648 Tang Oct 2010 A1
20100272824 Lupton et al. Oct 2010 A1
20100273258 Lannutti et al. Oct 2010 A1
20100273667 Kotov et al. Oct 2010 A1
20100292155 Tang Nov 2010 A1
20100303850 Lipford et al. Dec 2010 A1
20100305003 Tang Dec 2010 A1
20100306863 Colonna et al. Dec 2010 A1
20100310534 Oved et al. Dec 2010 A1
20100330046 Comer et al. Dec 2010 A1
20110003704 Skog et al. Jan 2011 A1
20110008382 Burrows et al. Jan 2011 A1
20110014119 Jaiswal et al. Jan 2011 A1
20110015090 Majeti et al. Jan 2011 A1
20110016543 Weinstein et al. Jan 2011 A1
20110020388 Zepp et al. Jan 2011 A1
20110023143 Weinstein et al. Jan 2011 A1
20110027217 Zepp et al. Feb 2011 A1
20110027235 Gregory et al. Feb 2011 A1
20110028395 Popel et al. Feb 2011 A1
20110030072 Weinstein et al. Feb 2011 A1
20110038841 Ayares Feb 2011 A1
20110038870 van den Berg Feb 2011 A1
20110053157 Skog et al. Mar 2011 A1
20110059901 Terman Mar 2011 A1
20110060120 Obeid Mar 2011 A1
20110070229 Simard Mar 2011 A1
20110070230 Simard Mar 2011 A1
20110071054 Simard Mar 2011 A1
20110071276 Simard Mar 2011 A1
20110092381 Sood et al. Apr 2011 A1
20110093249 Holmes et al. Apr 2011 A1
20110124552 Galipeau et al. May 2011 A1
20110129817 Banchereau et al. Jun 2011 A1
20110135641 Isenberg et al. Jun 2011 A1
20110142902 Jell et al. Jun 2011 A1
20110151433 Schellenberger et al. Jun 2011 A1
20110152115 Staudt et al. Jun 2011 A1
20110165588 Reagan et al. Jul 2011 A1
20110166199 Lai et al. Jul 2011 A1
20110171687 Schellenberger et al. Jul 2011 A1
20110182937 Banchereau et al. Jul 2011 A1
20110183866 Clarke et al. Jul 2011 A1
20110185439 Gaitanaris et al. Jul 2011 A1
20110189181 Utku et al. Aug 2011 A1
20110190157 Kipps et al. Aug 2011 A1
20110196614 Banchereau et al. Aug 2011 A1
20110206696 Frazier et al. Aug 2011 A1
20110214189 Gaitanaris et al. Sep 2011 A1
20110217308 Offner et al. Sep 2011 A1
20110217715 Wong et al. Sep 2011 A1
20110223201 Lipford et al. Sep 2011 A1
20110224800 Ludlow et al. Sep 2011 A1
20110230647 Murphy et al. Sep 2011 A1
20110236401 Murphy et al. Sep 2011 A1
20110250220 Dey et al. Oct 2011 A1
20110251077 Podhajcer et al. Oct 2011 A1
20110251108 Tang Oct 2011 A1
20110262491 Keegan et al. Oct 2011 A1
20110268804 Shi et al. Nov 2011 A1
20110268805 Alexis et al. Nov 2011 A1
20110275096 Moore et al. Nov 2011 A1
20110287022 Yao et al. Nov 2011 A1
20110288080 Saulnier Sholler et al. Nov 2011 A1
20110300176 Szalay et al. Dec 2011 A1
20110305663 Gosselin et al. Dec 2011 A1
20120010090 Nakamura et al. Jan 2012 A1
20120027808 Iannacone Feb 2012 A1
20120039841 Blander et al. Feb 2012 A1
20120046346 Rossi et al. Feb 2012 A1
20120064600 Boghaert et al. Mar 2012 A1
20120065086 Benson Mar 2012 A1
20120072124 Radich et al. Mar 2012 A1
20120087890 Iannacone et al. Apr 2012 A1
20120094301 Simard Apr 2012 A1
20120094395 Simard Apr 2012 A1
20120114759 Green et al. May 2012 A1
20120135426 Reagan et al. May 2012 A1
20120135521 Eshleman et al. May 2012 A1
20120149714 Heise et al. Jun 2012 A1
20120164101 Galipeau et al. Jun 2012 A1
20120171200 Nicolaides et al. Jul 2012 A1
20120190730 Michael Jul 2012 A1
20120192298 Weinstein et al. Jul 2012 A1
20120207759 Murphy et al. Aug 2012 A1
20120219559 Chen Aug 2012 A1
20120220011 Schellenberger et al. Aug 2012 A1
20120220484 Halloran Aug 2012 A1
20120222140 Kuroiwa et al. Aug 2012 A1
20120225073 Weissman et al. Sep 2012 A1
20120230940 Naughton et al. Sep 2012 A1
20120230947 Schellenberger et al. Sep 2012 A1
20120233715 Kuroiwa et al. Sep 2012 A1
20120237500 Milstein et al. Sep 2012 A1
20120276010 Szalay et al. Nov 2012 A1
20120282174 Weissman et al. Nov 2012 A1
20120295285 An et al. Nov 2012 A1
20120295956 Isenberg et al. Nov 2012 A1
20120295957 Isenberg et al. Nov 2012 A1
20120301400 Williams et al. Nov 2012 A1
20120308484 Szalay et al. Dec 2012 A1
20120315216 Clarke et al. Dec 2012 A1
20120322864 Rossi et al. Dec 2012 A1
20120322865 Rossi et al. Dec 2012 A1
20120322986 Murphy et al. Dec 2012 A1
20130011401 Huber et al. Jan 2013 A1
20130011438 Bartunkov et al. Jan 2013 A1
20130034847 Kojic et al. Feb 2013 A1
20130039884 Bogin et al. Feb 2013 A1
20130039925 Bansal Feb 2013 A1
20130078242 Nicolaides et al. Mar 2013 A1
20130116150 Wilcox et al. May 2013 A1
20130123192 Cao et al. May 2013 A1
20130129790 Alexis et al. May 2013 A1
20130130317 Ogawa et al. May 2013 A1
20130131194 Skog et al. May 2013 A1
20130156795 Iavarone et al. Jun 2013 A1
20130189741 Meis et al. Jul 2013 A1
20130190385 Duchateau et al. Jul 2013 A1
20130190387 Feinstein Jul 2013 A1
20130203169 Naughton et al. Aug 2013 A1
20130209398 Naughton et al. Aug 2013 A1
20130209427 Thangapazham et al. Aug 2013 A1
20130209471 Schwarz et al. Aug 2013 A1
20130210076 Naughton et al. Aug 2013 A1
20130210725 Naughton et al. Aug 2013 A1
20130216506 Discher et al. Aug 2013 A1
20130217069 Naughton et al. Aug 2013 A1
20130217129 Naughton et al. Aug 2013 A1
20130224188 Eckelman et al. Aug 2013 A1
20130225435 Clarke et al. Aug 2013 A1
20130230921 Keller et al. Sep 2013 A1
20130236533 von Andrian et al. Sep 2013 A1
20130244256 Clarke et al. Sep 2013 A1
20130244326 Majeti et al. Sep 2013 A1
20130247233 Gaitanaris et al. Sep 2013 A1
20130252895 Rapraeger et al. Sep 2013 A1
20130267684 Konno et al. Oct 2013 A1
20130287729 Keselowsky et al. Oct 2013 A1
20130287857 von Andrian et al. Oct 2013 A1
20130296185 Benson Nov 2013 A1
20130323254 Utku Dec 2013 A1
20130323819 Hammarstrom et al. Dec 2013 A1
20130330325 Grabe et al. Dec 2013 A1
20130331383 Saulnier Sholler et al. Dec 2013 A1
20130336925 Alvarez et al. Dec 2013 A1
20130337066 Zhang et al. Dec 2013 A1
20130337474 Vyas et al. Dec 2013 A1
20130338067 Alvarez et al. Dec 2013 A1
20130338089 Chan et al. Dec 2013 A1
20130340105 Flavell et al. Dec 2013 A1
20140017215 Ayares Jan 2014 A1
20140023664 Lowman et al. Jan 2014 A1
20140030344 Zepp et al. Jan 2014 A1
20140037736 Shi et al. Feb 2014 A1
20140038833 Shin et al. Feb 2014 A1
20140044735 Blanc-Brude et al. Feb 2014 A1
20140044738 Langermann et al. Feb 2014 A1
20140045915 Skog et al. Feb 2014 A1
20140046030 Thanos et al. Feb 2014 A1
20140056936 Offner et al. Feb 2014 A1
20140057257 Galon et al. Feb 2014 A1
20140065169 Jaiswal et al. Mar 2014 A1
20140066598 Stafford et al. Mar 2014 A1
20140079836 McDaniel Mar 2014 A1
20140080732 Banchereau et al. Mar 2014 A1
20140086957 Bartunkova et al. Mar 2014 A1
20140100164 Popel et al. Apr 2014 A1
20140101786 Sykes et al. Apr 2014 A1
20140113348 Williams et al. Apr 2014 A1
20140113832 Wolfe et al. Apr 2014 A1
20140120622 Gregory et al. May 2014 A1
20140127269 Masli May 2014 A1
20140127301 Alexis et al. May 2014 A1
20140134662 Flavell et al. May 2014 A1
20140140989 Eckelman et al. May 2014 A1
20140141986 Spetzler et al. May 2014 A1
20140148350 Spetzler et al. May 2014 A1
20140161805 Jamieson et al. Jun 2014 A1
20140161825 Jaiswal et al. Jun 2014 A1
20140178400 Blander et al. Jun 2014 A1
20140179770 Zhang et al. Jun 2014 A1
20140193453 Zepp et al. Jul 2014 A1
20140194319 Skog et al. Jul 2014 A1
20140194613 Skog et al. Jul 2014 A1
20140199308 van den Berg Jul 2014 A1
20140242173 Zepp et al. Aug 2014 A1
20140242699 Zhang Aug 2014 A1
20140248273 van Strijp et al. Sep 2014 A1
20140255313 Vasiljeva et al. Sep 2014 A1
20140255369 Turner et al. Sep 2014 A1
20140255431 Majeti et al. Sep 2014 A1
20140256649 Haura Sep 2014 A1
20140271582 Forman et al. Sep 2014 A1
20140271641 Lawler et al. Sep 2014 A1
20140275082 Tao et al. Sep 2014 A1
20140286959 Hegen et al. Sep 2014 A1
20140294891 Szalay et al. Oct 2014 A1
20140296161 Qian et al. Oct 2014 A1
20140302060 Beg et al. Oct 2014 A1
20140303354 Masternak et al. Oct 2014 A1
20140308302 Boghaert et al. Oct 2014 A1
20140308746 Rossi et al. Oct 2014 A1
20140314865 von Andrian et al. Oct 2014 A1
20140315984 Newgard et al. Oct 2014 A1
20140328825 Meis et al. Nov 2014 A1
20140341978 Kim Nov 2014 A1
20140356326 Schellenberger et al. Dec 2014 A1
20140363496 Ghoroghchian Dec 2014 A1
20140369924 Weissman et al. Dec 2014 A1
20140370012 Block et al. Dec 2014 A1
20140377221 Tufaro et al. Dec 2014 A1
20140377287 Govindan et al. Dec 2014 A1
20150005477 Lowman et al. Jan 2015 A1
20150017187 Thanos et al. Jan 2015 A1
20150020223 Zhang et al. Jan 2015 A1
20150030533 Algate et al. Jan 2015 A1
20150030535 Williams et al. Jan 2015 A1
20150030657 Ludlow et al. Jan 2015 A1
20150037359 Schellenberger et al. Feb 2015 A1
20150044222 Yao et al. Feb 2015 A1
20150056636 Garcia et al. Feb 2015 A1
20150065556 Birsoy et al. Mar 2015 A1
20150072893 Kampmann et al. Mar 2015 A1
20150073041 Saltzman et al. Mar 2015 A1
20150079046 Sinden et al. Mar 2015 A1
20150079088 Lowman et al. Mar 2015 A1
20150087810 Moore et al. Mar 2015 A1
20150089678 Murphy et al. Mar 2015 A1
20150089679 Murphy et al. Mar 2015 A1
20150094518 Wu et al. Apr 2015 A1
20150100345 Holmes et al. Apr 2015 A1
20150110806 Nassif et al. Apr 2015 A1
20150110836 Glanville Apr 2015 A1
20150126456 Susin et al. May 2015 A1
20150132313 Yao et al. May 2015 A1
20150140566 Gros May 2015 A1
20150147276 Ingber et al. May 2015 A1
20150147336 Yao et al. May 2015 A1
20150150996 Miller et al. Jun 2015 A1
20150152147 Gosselin et al. Jun 2015 A1
20150152187 Sun et al. Jun 2015 A1
20150152474 Pawlowski et al. Jun 2015 A1
20150164955 Sinden et al. Jun 2015 A1
20150167088 Staudt et al. Jun 2015 A1
20150168405 Kojic et al. Jun 2015 A1
20150175707 De Jong et al. Jun 2015 A1
20150182588 Kahvejian et al. Jul 2015 A1
20150183812 Kawasaki et al. Jul 2015 A1
20150203579 Papadopoulos et al. Jul 2015 A1
20150203580 Papadopoulos et al. Jul 2015 A1
20150208622 Flavell et al. Jul 2015 A1
20150209389 Gothelf et al. Jul 2015 A1
20150211020 Kuroiwa et al. Jul 2015 A1
20150218217 Moore et al. Aug 2015 A1
20150232881 Glucksmann et al. Aug 2015 A1
20150232883 Dahlman et al. Aug 2015 A1
20150238604 Eckelman et al. Aug 2015 A1
20150246073 Basu et al. Sep 2015 A1
20150250896 Zhao Sep 2015 A1
20150259431 Stemmer et al. Sep 2015 A1
20150265725 Peyman Sep 2015 A1
20150266942 Tian Sep 2015 A1
20150266956 Schwarz et al. Sep 2015 A1
20150268245 Galon et al. Sep 2015 A1
20150274826 Frazier et al. Oct 2015 A1
20150284416 Zhao Oct 2015 A1
20150284445 Jin et al. Oct 2015 A1
20150284688 Archetti Oct 2015 A1
20150285802 Polyak et al. Oct 2015 A1
20150291966 Zhang et al. Oct 2015 A1
20150297745 Cobbold et al. Oct 2015 A1
20150299197 Tao et al. Oct 2015 A1
20150301055 Spetzler Oct 2015 A1
20150301058 Schettini et al. Oct 2015 A1
20150306212 Kahvejian et al. Oct 2015 A1
20150314017 Zhao Nov 2015 A1
20150315289 Liu et al. Nov 2015 A1
20150320810 Conrad et al. Nov 2015 A1
20150322155 Zhao Nov 2015 A1
20150328300 Zepp et al. Nov 2015 A1
20150329875 Gregory et al. Nov 2015 A1
20150330997 Paramithiotis et al. Nov 2015 A1
20150343055 Offner et al. Dec 2015 A1
20150344584 Umana et al. Dec 2015 A1
20150353642 Tykocinski Dec 2015 A1
20150366897 Stevanato et al. Dec 2015 A1
20150366988 Goldenberg et al. Dec 2015 A1
20150368719 Regev et al. Dec 2015 A1
20150374790 Liu et al. Dec 2015 A1
20150376288 Weiskopf et al. Dec 2015 A1
20150376296 Fedorov et al. Dec 2015 A1
20160000886 Parker et al. Jan 2016 A1
20160000909 Eisenbach-Schwartz et al. Jan 2016 A1
20160002336 Chen Jan 2016 A1
20160002597 Sinden et al. Jan 2016 A1
20160003835 Halbert et al. Jan 2016 A1
20160007893 Roberts Jan 2016 A1
20160008374 Geleziunas et al. Jan 2016 A1
20160008463 Eisenbach-Schwartz et al. Jan 2016 A1
20160009813 Themeli et al. Jan 2016 A1
20160009814 Jaiswal et al. Jan 2016 A1
20160009815 Jaiswal et al. Jan 2016 A1
20160022976 Peyman Jan 2016 A1
20160024211 Chen Jan 2016 A1
20160038467 Peters Feb 2016 A1
20160038576 Vasserot et al. Feb 2016 A1
20160038612 Hoge et al. Feb 2016 A1
20160039903 Ring et al. Feb 2016 A1
20160039908 Susin et al. Feb 2016 A1
20160045532 Roberts et al. Feb 2016 A1
20160045551 Brentjens et al. Feb 2016 A1
20160046724 Brogdon et al. Feb 2016 A1
20160047735 Grisham et al. Feb 2016 A1
20160050896 Murphy et al. Feb 2016 A1
20160051651 Brogdon et al. Feb 2016 A1
20160052983 Alvarez et al. Feb 2016 A1
20160052990 Ring et al. Feb 2016 A1
20160053003 Li et al. Feb 2016 A1
20160058793 Terman Mar 2016 A1
20160058885 Grasso et al. Mar 2016 A1
20160060342 Majeti et al. Mar 2016 A1
20160060594 Xian Mar 2016 A1
20160060707 Goldenberg et al. Mar 2016 A1
20160060709 Wilhelm et al. Mar 2016 A1
20160068596 de Sauvage et al. Mar 2016 A1
20160068601 Brogdon et al. Mar 2016 A1
20160069889 Spetzler et al. Mar 2016 A1
20160083791 Gillespie et al. Mar 2016 A1
20160089397 Rossi et al. Mar 2016 A1
20160090603 Carnes et al. Mar 2016 A1
20160096892 Brogdon et al. Apr 2016 A1
20160097773 Pasqual et al. Apr 2016 A1
20160101111 Yen et al. Apr 2016 A1
20160101150 Jaynes et al. Apr 2016 A1
20160108045 Andres et al. Apr 2016 A1
20160108123 Freeman et al. Apr 2016 A1
20160122707 Swee et al. May 2016 A1
20160130348 Langermann et al. May 2016 A1
20160130552 Henco et al. May 2016 A1
20160130569 Jarjour et al. May 2016 A1
20160139012 D'Silva et al. May 2016 A1
20160143961 Berry et al. May 2016 A1
20160144009 Tseng et al. May 2016 A1
20160144026 Lutteropp et al. May 2016 A1
20160153004 Zhang et al. Jun 2016 A1
20160153005 Zhang et al. Jun 2016 A1
20160153053 Skog et al. Jun 2016 A1
20160157470 Gurer et al. Jun 2016 A1
20160159905 Abdiche et al. Jun 2016 A1
20160159920 Wang et al. Jun 2016 A1
20160165861 Hering et al. Jun 2016 A1
20160166546 Garner et al. Jun 2016 A1
20160168242 Hass et al. Jun 2016 A1
20160175308 Giangreco Jun 2016 A1
20160175358 Jakobovits et al. Jun 2016 A1
20160175462 Zhang et al. Jun 2016 A1
20160176916 Bradner et al. Jun 2016 A1
20160176948 Lawler et al. Jun 2016 A1
20160176976 Jaiswal et al. Jun 2016 A1
20160176978 Jaiswal et al. Jun 2016 A1
20160185859 Boghaert et al. Jun 2016 A1
20160186146 Thomson et al. Jun 2016 A1
20160186150 Deming et al. Jun 2016 A1
20160193252 Hicks et al. Jul 2016 A1
20160193258 Berry et al. Jul 2016 A1
20160193357 Govindan et al. Jul 2016 A1
20160194368 Hoge et al. Jul 2016 A1
20160194399 Irving et al. Jul 2016 A1
20160194406 Leeper et al. Jul 2016 A1
20160194625 Hoge et al. Jul 2016 A1
20160199424 Berry et al. Jul 2016 A1
20160200804 Weinberger et al. Jul 2016 A1
20160200816 Jaiswal et al. Jul 2016 A1
20160206566 Lu et al. Jul 2016 A1
20160207949 Zhao Jul 2016 A1
20160207987 Bansal Jul 2016 A1
20160208243 Zhang et al. Jul 2016 A1
20160215052 Shipp et al. Jul 2016 A1
20160219845 Gaitanaris et al. Aug 2016 A1
20160220537 Garner et al. Aug 2016 A1
20160222097 Isenberg et al. Aug 2016 A1
20160222121 Johnson et al. Aug 2016 A1
20160235045 Kuroiwa et al. Aug 2016 A1
20160235730 Bradner et al. Aug 2016 A1
20160235731 Bradner et al. Aug 2016 A1
20160235788 Hicks et al. Aug 2016 A1
20160235792 Berry et al. Aug 2016 A1
20160237132 Alvarez et al. Aug 2016 A1
20160237400 Xian Aug 2016 A1
20160237455 Glucksmann et al. Aug 2016 A1
20160243221 Hoge et al. Aug 2016 A1
20160243247 Bradner et al. Aug 2016 A1
20160243259 Almarsson et al. Aug 2016 A1
20160244501 Ellsworth et al. Aug 2016 A1
20160244502 Bolen et al. Aug 2016 A1
20160244522 van den Berg Aug 2016 A1
20160244528 Gray et al. Aug 2016 A1
20160244751 Ilagan Aug 2016 A1
20160251336 Yang et al. Sep 2016 A1
20160251435 Eckelman et al. Sep 2016 A1
20160251477 Cui et al. Sep 2016 A1
20160256448 Bair et al. Sep 2016 A1
20160256458 Bair et al. Sep 2016 A1
20160257751 Swanson et al. Sep 2016 A1
20160257932 Kahvejian et al. Sep 2016 A1
20160264665 Lim et al. Sep 2016 A1
20160271188 Berry et al. Sep 2016 A1
20160273046 Xu et al. Sep 2016 A1
20160278350 Ayares Sep 2016 A1
20160280753 Schellenberger et al. Sep 2016 A1
20160282365 Gaitanaris et al. Sep 2016 A1
20160283653 Staudt et al. Sep 2016 A1
20160287670 Van Den Brink et al. Oct 2016 A1
20160289229 Aktoudianakis et al. Oct 2016 A1
20160289238 He et al. Oct 2016 A1
20160289324 Moore et al. Oct 2016 A1
20160289341 Wu Oct 2016 A1
20160289343 Wu Oct 2016 A1
20160297880 Eisenbach-Schwartz et al. Oct 2016 A1
20160298082 Henco et al. Oct 2016 A1
20160299146 Garraway et al. Oct 2016 A1
20160303095 Aguayo et al. Oct 2016 A1
20160304969 Ayers et al. Oct 2016 A1
20160311903 West et al. Oct 2016 A1
20160311905 Eisenbach-Schwartz et al. Oct 2016 A1
20160311908 Arena et al. Oct 2016 A1
20160311917 Beatty et al. Oct 2016 A1
20160312295 Ayers et al. Oct 2016 A1
20160312297 Ayers et al. Oct 2016 A1
20160317647 Ciaramella et al. Nov 2016 A1
20160319021 Eisenbach-Schwartz et al. Nov 2016 A1
20160319256 Deming et al. Nov 2016 A9
20160319361 Spetzler et al. Nov 2016 A1
20160324897 Ingber et al. Nov 2016 A1
20160324983 Li Nov 2016 A1
20160326253 Ueda et al. Nov 2016 A1
20160326261 Spits et al. Nov 2016 A1
20160326263 Bamdad et al. Nov 2016 A1
20160326585 Gros Nov 2016 A1
20160326596 Levine et al. Nov 2016 A1
20160331828 Ciaramella et al. Nov 2016 A1
20160333008 Sun et al. Nov 2016 A1
20160333009 Bartlett et al. Nov 2016 A1
20160333114 Williams et al. Nov 2016 A1
20160339064 Kovarik et al. Nov 2016 A1
20160340397 Ring et al. Nov 2016 A1
20160340407 Hodi et al. Nov 2016 A1
20160340661 Cong et al. Nov 2016 A1
20160340743 Yen et al. Nov 2016 A1
20160345549 Gurer et al. Dec 2016 A1
20160347857 Liu et al. Dec 2016 A1
20160348073 Meissner et al. Dec 2016 A1
20160354397 Chan et al. Dec 2016 A1
20160355587 West et al. Dec 2016 A1
20160355592 Sagert et al. Dec 2016 A1
20160355599 Sagert et al. Dec 2016 A1
20160355797 Konermann et al. Dec 2016 A1
20160362464 Ghosh Dec 2016 A1
20160362472 Bitter et al. Dec 2016 A1
20160362678 Skog et al. Dec 2016 A1
20160366862 Flavell et al. Dec 2016 A1
20160367670 Unger Dec 2016 A1
20160368994 Kelley et al. Dec 2016 A1
20160369002 Gauthier et al. Dec 2016 A1
20160369269 Shen et al. Dec 2016 A1
20160374321 Murphy et al. Dec 2016 A1
20160374949 Green et al. Dec 2016 A9
20160375033 Edgar et al. Dec 2016 A1
20160375148 Li Dec 2016 A1
20160376333 Procko et al. Dec 2016 A1
20160376663 Brown Dec 2016 A1
20170000779 Hariri et al. Jan 2017 A1
20170000869 O'Connor Jan 2017 A1
20170002060 Bolen et al. Jan 2017 A1
20170002068 Yarden et al. Jan 2017 A1
20170002088 Algate et al. Jan 2017 A1
20170007644 Pai et al. Jan 2017 A1
20170007685 Pasare et al. Jan 2017 A1
20170008891 Tao et al. Jan 2017 A1
20170008951 Block et al. Jan 2017 A1
20170009238 Nyce et al. Jan 2017 A1
20170014527 Goldenberg et al. Jan 2017 A1
20170020835 Chang Jan 2017 A1
20170020926 Mata-Fink et al. Jan 2017 A1
20170020956 Jaynes et al. Jan 2017 A1
20170023548 Nagata et al. Jan 2017 A1
20170027140 Flavell et al. Feb 2017 A1
20170028079 Li Feb 2017 A1
20170029418 Kawasaki et al. Feb 2017 A1
20170029508 Eisenbach-Schwartz et al. Feb 2017 A1
20170035808 Jarvis et al. Feb 2017 A1
20170037431 Lieber et al. Feb 2017 A1
20170038394 Jarvis et al. Feb 2017 A1
20170038395 Jarvis et al. Feb 2017 A1
20170044164 Li et al. Feb 2017 A1
20170044258 Van Den Berg Feb 2017 A1
20170044259 Tipton et al. Feb 2017 A1
20170051358 Bittinger et al. Feb 2017 A1
20170053091 Holmes et al. Feb 2017 A1
20170055561 Naughton et al. Mar 2017 A1
20170056347 Glick et al. Mar 2017 A1
20170056470 Rapraeger et al. Mar 2017 A1
20170057965 Li et al. Mar 2017 A1
20170065636 Moriarity et al. Mar 2017 A1
20170067021 Moriarity et al. Mar 2017 A1
20170067065 Falb et al. Mar 2017 A1
20170067875 Laing et al. Mar 2017 A1
20170071918 Ng Lui et al. Mar 2017 A1
20170071944 Geleziunas et al. Mar 2017 A1
20170072067 Lowman et al. Mar 2017 A1
20170072071 Gros Mar 2017 A1
20170073414 Weiskopf et al. Mar 2017 A1
20170073425 Grasso et al. Mar 2017 A1
20170073664 McCafferty et al. Mar 2017 A1
20170079916 Khan et al. Mar 2017 A1
20170080029 Reginald et al. Mar 2017 A1
20170081407 Grosveld et al. Mar 2017 A1
20170088898 Skog et al. Mar 2017 A1
20170095531 Schreiber et al. Apr 2017 A1
20170095552 Szalay et al. Apr 2017 A1
20170096671 Morrisey Apr 2017 A1
20170100486 Ziv Apr 2017 A1
20170101472 Ullman et al. Apr 2017 A1
20170106068 Bourinbaiar et al. Apr 2017 A1
20170107216 Wu et al. Apr 2017 A1
20170107270 Pons et al. Apr 2017 A1
20170107300 Kuchroo et al. Apr 2017 A1
20170107536 Zhang et al. Apr 2017 A1
20170107578 Ramos et al. Apr 2017 A1
20170114413 Hahn et al. Apr 2017 A1
20170115291 Wong et al. Apr 2017 A1
20170119687 Rotello et al. May 2017 A1
20170119820 Moriarity et al. May 2017 A1
20170119930 Evans et al. May 2017 A1
20170121310 Jia et al. May 2017 A1
20170121409 Verona et al. May 2017 A1
20170121771 Yao et al. May 2017 A1
20170122853 Kobayashi et al. May 2017 A1
20170128490 Bauer et al. May 2017 A1
20170128505 Ungerechts et al. May 2017 A1
20170130200 Moriarity et al. May 2017 A1
20170130232 Stampfer et al. May 2017 A1
20170130247 Dowen et al. May 2017 A1
20170130271 Wong May 2017 A1
20170136073 Falb et al. May 2017 A1
20170137783 Bedoya et al. May 2017 A1
20170137845 Tan et al. May 2017 A1
20170137885 Salomon et al. May 2017 A1
20170143830 Wang et al. May 2017 A1
20170143845 Zhao May 2017 A1
20170144996 Chen et al. May 2017 A1
20170144997 Chen et al. May 2017 A1
20170145025 Li et al. May 2017 A1
20170145381 Pai et al. May 2017 A1
20170145464 Gosselin et al. May 2017 A1
20170151281 Wagner et al. Jun 2017 A1
20170151282 Discher et al. Jun 2017 A1
20170151339 White et al. Jun 2017 A1
20170151346 Zhao Jun 2017 A1
20170152274 Zhao et al. Jun 2017 A1
20170152528 Zhang Jun 2017 A1
20170157230 O'Dwyer Jun 2017 A1
20170157262 Zhao et al. Jun 2017 A1
20170158749 Cooper et al. Jun 2017 A1
20170165298 Jarvis et al. Jun 2017 A1
20170165375 Ashley et al. Jun 2017 A1
20170166903 Zhang et al. Jun 2017 A1
20170173001 May Jun 2017 A1
20170173085 Kovarik et al. Jun 2017 A1
20170173109 Watnick Jun 2017 A1
20170173128 Hoge et al. Jun 2017 A1
20170173168 Zhao Jun 2017 A1
20170173176 Zhao Jun 2017 A1
20170174671 Wu et al. Jun 2017 A1
20170174679 Lajkiewicz et al. Jun 2017 A1
20170174713 Du et al. Jun 2017 A1
20170174748 Mitchell et al. Jun 2017 A1
20170174779 Varghese et al. Jun 2017 A1
20170174781 Brownstein Jun 2017 A1
20170174790 Armstrong et al. Jun 2017 A1
20170175128 Welstead et al. Jun 2017 A1
20170182096 Holt et al. Jun 2017 A1
20170183420 Gregory et al. Jun 2017 A1
20170184565 Roberts et al. Jun 2017 A1
20170184604 Lee et al. Jun 2017 A1
20170188555 Gaitanaris et al. Jul 2017 A1
20170190776 Jaiswal et al. Jul 2017 A1
20170191034 Wang et al. Jul 2017 A1
20170191055 Short et al. Jul 2017 A1
20170191128 Salomon et al. Jul 2017 A1
20170196818 Shin et al. Jul 2017 A1
20170196966 Henderson Jul 2017 A1
20170198038 Gauthier et al. Jul 2017 A1
20170198051 Eckelman et al. Jul 2017 A1
20170198302 Feng et al. Jul 2017 A1
20170198308 Qi et al. Jul 2017 A1
20170199193 Filvaroff et al. Jul 2017 A1
20170202914 Blankenberg Jul 2017 A1
20170202975 Zhao Jul 2017 A1
20170202979 Chakraborty et al. Jul 2017 A1
20170204139 Moore et al. Jul 2017 A1
20170204152 Nelson et al. Jul 2017 A1
20170204181 Grosveld Jul 2017 A1
20170204407 Gilbert et al. Jul 2017 A1
20170204422 Nelson et al. Jul 2017 A1
20170209492 June et al. Jul 2017 A1
20170209595 Zhao Jul 2017 A1
20170209864 Grisham et al. Jul 2017 A1
20170210788 Huang et al. Jul 2017 A1
20170210802 Gauthier et al. Jul 2017 A1
20170210803 Willingham et al. Jul 2017 A1
20170210811 Wong et al. Jul 2017 A1
20170210812 Wong et al. Jul 2017 A1
20170211055 Brogdon et al. Jul 2017 A1
20170216353 Nuccitelli et al. Aug 2017 A1
20170218086 Kim et al. Aug 2017 A1
20170224734 Chapman et al. Aug 2017 A1
20170224737 Shizuru et al. Aug 2017 A1
20170224814 Chang Aug 2017 A1
20170224837 Chang et al. Aug 2017 A1
20170226217 Ellmark et al. Aug 2017 A1
20170226223 Williams et al. Aug 2017 A1
20170226507 Chan et al. Aug 2017 A1
20170233451 Ring et al. Aug 2017 A1
20170233474 Lim et al. Aug 2017 A1
20170233808 Haining et al. Aug 2017 A1
20170240613 Zhu et al. Aug 2017 A1
20170240634 Eisenbach-Schwartz et al. Aug 2017 A1
20170240637 Cheung et al. Aug 2017 A1
20170240639 Kumar et al. Aug 2017 A1
20170247464 Poirier et al. Aug 2017 A1
20170247685 Short Aug 2017 A1
20170248603 Hodi et al. Aug 2017 A1
20170252379 Law et al. Sep 2017 A1
20170252396 Rudloff et al. Sep 2017 A1
20170253933 Wang Sep 2017 A1
20170258882 De Vries et al. Sep 2017 A1
20170260137 Stafford et al. Sep 2017 A1
20170260245 Faustman et al. Sep 2017 A1
20170260268 Beatty et al. Sep 2017 A1
20170260277 Forman et al. Sep 2017 A1
20170260763 Fortin et al. Sep 2017 A1
20170265442 Murphy et al. Sep 2017 A1
20170267637 Stafford et al. Sep 2017 A1
20170269093 Gertler et al. Sep 2017 A1
20170274014 Brogdon et al. Sep 2017 A1
20170275290 Li et al. Sep 2017 A1
20170275364 Van Den Berg Sep 2017 A1
20170281627 Aktoudianakis et al. Oct 2017 A1
20170281684 Basu et al. Oct 2017 A1
20170281791 Govindan et al. Oct 2017 A1
20170281795 Geall et al. Oct 2017 A1
20170283497 Schiffer-Mannioui Oct 2017 A1
20170283807 Mounir et al. Oct 2017 A1
20170290858 Zhao et al. Oct 2017 A1
20170290899 Bartňkova et al. Oct 2017 A1
20170290923 Li et al. Oct 2017 A1
20170291945 Leeper et al. Oct 2017 A1
20170291958 Dai et al. Oct 2017 A1
20170296623 Juillerat et al. Oct 2017 A1
20170296663 Zhao et al. Oct 2017 A1
20170306038 Brogdon et al. Oct 2017 A1
20170306303 Taunton et al. Oct 2017 A1
20170306416 Bedoya et al. Oct 2017 A1
20170313707 Andres et al. Nov 2017 A1
20170313781 Govindan et al. Nov 2017 A1
20170313978 Wang et al. Nov 2017 A1
20170314075 Skog et al. Nov 2017 A1
20170320875 Li et al. Nov 2017 A1
20170320945 Jaiswal et al. Nov 2017 A1
20170321194 Budge et al. Nov 2017 A1
20170321220 Douglas et al. Nov 2017 A1
20170321443 Biffiger et al. Nov 2017 A1
20170326093 McCormick et al. Nov 2017 A1
20170326179 Mukherjee Nov 2017 A1
20170327567 Skokos et al. Nov 2017 A1
20170327577 Wang et al. Nov 2017 A1
20170327590 Lowy et al. Nov 2017 A1
20170334967 Siegel et al. Nov 2017 A1
20170335281 Loew et al. Nov 2017 A1
20170335331 Zhao et al. Nov 2017 A1
20170335344 Pauza et al. Nov 2017 A1
20170340724 Ciaramella et al. Nov 2017 A1
20170340725 Ciaramella et al. Nov 2017 A1
20170342060 Lu et al. Nov 2017 A1
20170342068 Aktoudianakis et al. Nov 2017 A1
20170342119 Liu et al. Nov 2017 A1
20170342380 Petratos et al. Nov 2017 A1
20170342390 Wissing et al. Nov 2017 A1
20170343552 Hodi et al. Nov 2017 A1
20170343554 Sullivan et al. Nov 2017 A1
20170348234 McDevitt et al. Dec 2017 A1
20170348390 Wong et al. Dec 2017 A1
20170348391 Koreth et al. Dec 2017 A1
20170348415 Hoge et al. Dec 2017 A1
20170348429 Reilly et al. Dec 2017 A1
20170349433 Lipford et al. Dec 2017 A1
20170349658 Micklem et al. Dec 2017 A1
20170349874 Jaques et al. Dec 2017 A1
20170349950 Regev et al. Dec 2017 A1
20170350879 Chen et al. Dec 2017 A1
20170355767 Engelberts et al. Dec 2017 A1
20170355773 Schreiber et al. Dec 2017 A1
20170355774 Delfino et al. Dec 2017 A1
20170355958 Sankaran Dec 2017 A1
20170356022 Khan et al. Dec 2017 A1
20170356903 Domenyuk et al. Dec 2017 A1
20170360706 Ghoroghchian Dec 2017 A1
20170360836 Novik et al. Dec 2017 A1
20170360873 Blencowe et al. Dec 2017 A1
20170360932 Parry Dec 2017 A1
20170360959 Saltzman et al. Dec 2017 A1
20170360963 Haining et al. Dec 2017 A1
20170361126 Ghoroghchian Dec 2017 A1
20170362253 Xiao et al. Dec 2017 A1
20170362302 Susin et al. Dec 2017 A1
20170362329 Schreiber Dec 2017 A1
20170362332 Weiskopf et al. Dec 2017 A1
20170362334 Thanos et al. Dec 2017 A1
20170362582 Chen et al. Dec 2017 A1
20170362593 Maiorano Dec 2017 A1
20170362605 Chakraborty Dec 2017 A1
20170368169 Loew et al. Dec 2017 A1
20170369572 Sato et al. Dec 2017 A1
20170369573 Gauthier Dec 2017 A1
20170369828 Mietzner et al. Dec 2017 A1
20170369843 Kahvejian et al. Dec 2017 A1
20180000865 Weissman et al. Jan 2018 A1
20180000914 Valton et al. Jan 2018 A1
20180002422 Freeman et al. Jan 2018 A1
20180008694 Ciaramella et al. Jan 2018 A1
20180009779 Bradner et al. Jan 2018 A1
20180009815 Li et al. Jan 2018 A1
20180009816 Buesking et al. Jan 2018 A1
20180009893 Eisenbach-Schwartz et al. Jan 2018 A1
20180009895 Smith et al. Jan 2018 A1
20180010082 Jaques et al. Jan 2018 A1
20180010179 Hansen et al. Jan 2018 A1
20180015137 de Keizer Jan 2018 A1
20180015153 Tang et al. Jan 2018 A1
20180016260 Yu et al. Jan 2018 A1
20180016344 Moore et al. Jan 2018 A1
20180016352 Thurecht et al. Jan 2018 A1
20180020647 Flavell et al. Jan 2018 A1
20180021429 Kudo et al. Jan 2018 A1
20180021448 Zhao et al. Jan 2018 A9
20180022781 Bridier-Nahmias et al. Jan 2018 A1
20180022806 Majeti et al. Jan 2018 A1
20180022813 Lazar et al. Jan 2018 A1
20180028455 Green et al. Feb 2018 A1
20180028645 Ciaramella et al. Feb 2018 A1
20180028651 Leeper et al. Feb 2018 A1
20180028686 Brinker et al. Feb 2018 A1
20180030137 Van Eenennaam et al. Feb 2018 A1
20180030142 Majeti et al. Feb 2018 A1
20180030148 Algate et al. Feb 2018 A1
20180030411 Kahvejian et al. Feb 2018 A1
20180030515 Regev et al. Feb 2018 A1
20180036289 Gonzalez Buenrostro et al. Feb 2018 A1
20180036425 Thanos et al. Feb 2018 A1
20180037652 Liu et al. Feb 2018 A1
20180037861 Wilkins Feb 2018 A1
20180037898 Ring et al. Feb 2018 A1
20180038865 Leung et al. Feb 2018 A1
20180042905 Aguayo et al. Feb 2018 A1
20180044404 Oda et al. Feb 2018 A1
20180044423 Ebersbach et al. Feb 2018 A1
20180044424 June et al. Feb 2018 A1
20180044662 Platt et al. Feb 2018 A1
20180049413 Flavell et al. Feb 2018 A1
20180049984 Brinker et al. Feb 2018 A1
20180051081 Frazier et al. Feb 2018 A1
20180051335 Skog et al. Feb 2018 A9
20180051347 Ribas et al. Feb 2018 A1
20180052176 Holt et al. Feb 2018 A1
20180055891 Zhao Mar 2018 A1
20180057486 Wu et al. Mar 2018 A1
20180057594 Evnin Mar 2018 A1
20180057598 Lazar et al. Mar 2018 A1
20180064425 Sanyal Mar 2018 A1
20180064745 Katibah et al. Mar 2018 A1
20180064787 Schreiber et al. Mar 2018 A1
20180065938 Chin et al. Mar 2018 A1
20180066262 Domenyuk et al. Mar 2018 A1
20180066285 Ojala et al. Mar 2018 A1
20180068057 Shin et al. Mar 2018 A1
20180070564 Sykes Mar 2018 A1
20180071344 Berry et al. Mar 2018 A1
20180072718 Liu et al. Mar 2018 A1
20180072719 Ye et al. Mar 2018 A1
20180072720 Vechorkin et al. Mar 2018 A1
20180072740 Beck et al. Mar 2018 A1
20180072741 Vechorkin et al. Mar 2018 A1
20180072743 Beck et al. Mar 2018 A1
20180078624 Zhou et al. Mar 2018 A1
20180079812 Lim et al. Mar 2018 A1
20180080087 Bacus et al. Mar 2018 A1
20180085434 Evans et al. Mar 2018 A1
20180085447 Chaudhuri et al. Mar 2018 A1
20180085465 Bradner et al. Mar 2018 A1
20180086734 Yang et al. Mar 2018 A1
20180086755 Chin et al. Mar 2018 A1
20180086829 Zhang et al. Mar 2018 A1
20180092338 Hering et al. Apr 2018 A1
20180092937 Oost et al. Apr 2018 A1
20180092968 Albelda Apr 2018 A1
20180092973 Kaplan Apr 2018 A1
20180094231 Mietzner et al. Apr 2018 A1
20180094244 Novik et al. Apr 2018 A1
20180098972 Goldfeld et al. Apr 2018 A1
20180100026 Kim et al. Apr 2018 A1
20180100201 Garraway et al. Apr 2018 A1
20180100860 Hennig Apr 2018 A1
20180104187 Liu et al. Apr 2018 A1
20180105591 Grosveld et al. Apr 2018 A1
20180105592 Eisenbach-Schwartz et al. Apr 2018 A1
20180105600 Pons et al. Apr 2018 A1
20180110772 Govindan et al. Apr 2018 A1
20180110831 Brinker et al. Apr 2018 A1
20180110847 Wagner et al. Apr 2018 A1
20180110874 Li Apr 2018 A1
20180111997 Eisenbach-Schwartz et al. Apr 2018 A1
20180111998 Eisenbach-Schwartz et al. Apr 2018 A1
20180111999 Eisenbach-Schwartz et al. Apr 2018 A1
20180112213 Welstead et al. Apr 2018 A1
20180117117 Choi et al. May 2018 A1
20180117150 O'Dwyer et al. May 2018 A1
20180118826 Eisenbach-Schwartz et al. May 2018 A1
20180118834 Brogdon et al. May 2018 A1
20180119101 Kahvejian et al. May 2018 A1
20180119107 Neal et al. May 2018 A1
20180119118 Lu et al. May 2018 A1
20180125892 Brannetti et al. May 2018 A1
20180125935 Schreiber et al. May 2018 A1
20180125988 Yang et al. May 2018 A1
20180126001 Malecki et al. May 2018 A1
20180126003 Hoerr May 2018 A1
20180126014 Zhou et al. May 2018 A1
20180127499 Wilson et al. May 2018 A1
20180127509 Armstrong May 2018 A1
20180127748 Whetstine May 2018 A1
20180127783 Zhang et al. May 2018 A1
20180133296 Barrett et al. May 2018 A1
20180134684 Bradner et al. May 2018 A1
20180135012 Mata-Fink et al. May 2018 A1
20180135020 Zhao May 2018 A1
20180139941 Murphy et al. May 2018 A1
20180140602 Angst et al. May 2018 A1
20180140698 Clube et al. May 2018 A1
20180141934 Chen et al. May 2018 A1
20180141939 Lapina et al. May 2018 A1
20180141986 Tian et al. May 2018 A1
20180142018 Fischer May 2018 A1
20180142019 Manning et al. May 2018 A1
20180142035 Lobb et al. May 2018 A1
20180142257 Pauza et al. May 2018 A1
20180142258 Pauza et al. May 2018 A1
20180147257 Corey et al. May 2018 A1
20180148503 Scheinberg et al. May 2018 A1
20180148512 Tykocinski May 2018 A1
20180148514 Williams May 2018 A1
20180148790 Ayers et al. May 2018 A1
20180153796 Lin et al. Jun 2018 A1
20180153821 Zhang et al. Jun 2018 A1
20180153884 Qin et al. Jun 2018 A1
20180153937 Nuccitelli et al. Jun 2018 A1
20180153942 Giacalone et al. Jun 2018 A1
20180153975 Fritsch et al. Jun 2018 A1
20180153978 Pasare et al. Jun 2018 A1
20180153984 Ernst et al. Jun 2018 A1
20180153989 Kahvejian et al. Jun 2018 A1
20180155405 Ring et al. Jun 2018 A1
20180155424 Van Den Berg Jun 2018 A1
20180155716 Zhang et al. Jun 2018 A1
20180155717 Valamehr et al. Jun 2018 A1
20180156798 Haura Jun 2018 A1
20180156800 Lin et al. Jun 2018 A1
20180156807 Placantonakis et al. Jun 2018 A1
20180160662 Garcia et al. Jun 2018 A1
20180161300 Erez et al. Jun 2018 A1
20180161307 Du et al. Jun 2018 A1
20180161349 Makkouk et al. Jun 2018 A1
20180161371 O'Dwyer Jun 2018 A1
20180162903 Pease et al. Jun 2018 A1
20180162937 Boghaert et al. Jun 2018 A1
20180162939 Ma et al. Jun 2018 A1
20180162940 Willuda et al. Jun 2018 A1
20180163178 Schneider et al. Jun 2018 A1
20180163197 Brummelkamp et al. Jun 2018 A1
20180163210 Simons et al. Jun 2018 A1
20180163882 Mietzner Jun 2018 A1
20180168488 Jones et al. Jun 2018 A1
20180168489 Jones et al. Jun 2018 A1
20180168490 Jones et al. Jun 2018 A1
20180169027 Zhang et al. Jun 2018 A1
20180169091 May Jun 2018 A1
20180169097 Hammerman et al. Jun 2018 A1
20180169153 Berry et al. Jun 2018 A1
20180169154 Falb et al. Jun 2018 A1
20180169230 Adams et al. Jun 2018 A1
20180170907 Jia et al. Jun 2018 A1
20180170916 Chen et al. Jun 2018 A1
20180171014 Manning et al. Jun 2018 A1
20180171028 Chatterjee et al. Jun 2018 A1
20180171337 O'Neill et al. Jun 2018 A1
20180177784 Wu et al. Jun 2018 A1
20180177827 Turner et al. Jun 2018 A1
20180177870 Liu et al. Jun 2018 A1
20180179179 Wu et al. Jun 2018 A1
20180179197 Wu et al. Jun 2018 A1
20180179201 Wu et al. Jun 2018 A1
20180179202 Wu et al. Jun 2018 A1
20180179221 Sampson et al. Jun 2018 A1
20180179492 Xian Jun 2018 A1
20180179494 Muffat et al. Jun 2018 A1
20180179590 Belgrader et al. Jun 2018 A1
20180179591 Belgrader et al. Jun 2018 A1
20180179601 Alexandrov et al. Jun 2018 A1
20180184630 Joseph Jul 2018 A1
20180185351 Goldenberg et al. Jul 2018 A1
20180185668 Papadopoulos et al. Jul 2018 A1
20180185844 Kerns et al. Jul 2018 A1
20180186878 Rosenthal Jul 2018 A1
20180186882 Freeman et al. Jul 2018 A1
20180186883 Papadopoulos et al. Jul 2018 A1
20180187149 Ma et al. Jul 2018 A1
20180187153 Kahvejian et al. Jul 2018 A1
20180187154 Kahvejian et al. Jul 2018 A1
20180192623 Jishage et al. Jul 2018 A1
20180193479 Williams et al. Jul 2018 A1
20180194831 De Lorenzo et al. Jul 2018 A1
20180200366 Wong et al. Jul 2018 A1
20180200378 Bennett et al. Jul 2018 A1
20180201661 O'Dwyer Jul 2018 A1
20180201677 Grosveld et al. Jul 2018 A1
20180201901 Duchateau et al. Jul 2018 A1
20180207267 Schurpf et al. Jul 2018 A1
20180207273 Dranoff et al. Jul 2018 A1
20180208636 Lim et al. Jul 2018 A1
20180208659 Fang et al. Jul 2018 A1
20180208897 Kahvejian et al. Jul 2018 A1
20180208903 Kotton et al. Jul 2018 A1
20180208943 Schmidt Jul 2018 A1
20180209983 Lafleur Jul 2018 A1
20180211447 Spayd Jul 2018 A1
20180214524 Weissman et al. Aug 2018 A1
20180214566 Dodgson et al. Aug 2018 A1
20180214579 Almarsson et al. Aug 2018 A1
20180216067 Kahvejian et al. Aug 2018 A1
20180216073 Reginald et al. Aug 2018 A1
20180216078 Rossi et al. Aug 2018 A1
20180216162 Belhocine et al. Aug 2018 A1
20180217131 Yu Aug 2018 A1
20180221362 Ghosh et al. Aug 2018 A1
20180221381 Yen et al. Aug 2018 A1
20180221508 Kadiyala et al. Aug 2018 A1
20180222944 Glanville Aug 2018 A1
20180222982 Dranoff et al. Aug 2018 A1
20180223256 Kim Aug 2018 A1
20180224432 Kerns et al. Aug 2018 A1
20180228786 Sokolsky et al. Aug 2018 A1
20180228881 Barreira Da Silva et al. Aug 2018 A1
20180228926 Kelly et al. Aug 2018 A1
20180229241 Bishop et al. Aug 2018 A1
20180230417 Kerns et al. Aug 2018 A1
20180235894 Gu et al. Aug 2018 A1
20180235897 Gong et al. Aug 2018 A1
20180238884 Bass et al. Aug 2018 A1
20180243311 Lee et al. Aug 2018 A1
20180243341 June et al. Aug 2018 A1
20180243426 Ziv Aug 2018 A1
20180243444 Pozuelo Rubio et al. Aug 2018 A1
20180244627 Pan et al. Aug 2018 A1
20180244738 Peng et al. Aug 2018 A1
20180244748 Gill et al. Aug 2018 A1
20180246099 Kotton et al. Aug 2018 A1
20180249688 Ayares et al. Sep 2018 A1
20180249689 Gurer et al. Sep 2018 A1
20180250339 Gill et al. Sep 2018 A1
20180250395 Pietsch et al. Sep 2018 A1
20180250405 Biel et al. Sep 2018 A1
20180250418 Afar et al. Sep 2018 A1
20180251460 Aktoudianakis et al. Sep 2018 A1
20180251464 Shi Sep 2018 A1
20180251521 Lafleur et al. Sep 2018 A1
20180251533 Hedrick et al. Sep 2018 A1
20180251558 Maute et al. Sep 2018 A1
20180251563 Lafleur et al. Sep 2018 A1
20180252727 Garfall et al. Sep 2018 A1
20180256549 Garner et al. Sep 2018 A1
20180256572 Yates Sep 2018 A1
20180256624 Pauza et al. Sep 2018 A1
20180256709 Zepp et al. Sep 2018 A1
20180256742 Poznansky Sep 2018 A1
20180256747 Hawthorne et al. Sep 2018 A1
20180258149 Motz et al. Sep 2018 A1
20180258158 Krystek, Jr. et al. Sep 2018 A1
20180258186 Bamdad et al. Sep 2018 A1
20180258411 Kadiyala et al. Sep 2018 A1
20180258422 Johnson et al. Sep 2018 A1
20180258484 Gros Sep 2018 A1
20180263985 Geleziunas et al. Sep 2018 A1
20180264094 Lisziewicz et al. Sep 2018 A1
20180264095 Lisziewicz et al. Sep 2018 A1
20180264186 Van Bruggen et al. Sep 2018 A1
20180265530 Lai et al. Sep 2018 A1
20180265847 Kahvejian et al. Sep 2018 A1
20180267043 Lopez-Girona et al. Sep 2018 A1
20180267516 Fister et al. Sep 2018 A1
20180271795 Martini et al. Sep 2018 A1
20180271870 Khleif et al. Sep 2018 A1
20180271891 Garraway et al. Sep 2018 A1
20180271910 Mata-Fink et al. Sep 2018 A1
20180271970 Ciaramella et al. Sep 2018 A1
20180271975 Ciaramella et al. Sep 2018 A1
20180271992 Cardillo et al. Sep 2018 A1
20180273519 Wu et al. Sep 2018 A1
20180273531 Kawasaki et al. Sep 2018 A1
20180273578 Oost et al. Sep 2018 A1
20180273903 Zhang et al. Sep 2018 A1
20180273948 Kadiyala et al. Sep 2018 A1
20180273980 Qi et al. Sep 2018 A1
20180274043 Yu Sep 2018 A1
20180275143 Wilcox et al. Sep 2018 A1
20180280451 Falb et al. Oct 2018 A9
20180280502 Lutteropp et al. Oct 2018 A1
20180280532 Goldenberg Oct 2018 A1
20180280539 Debs et al. Oct 2018 A1
20180282693 June et al. Oct 2018 A1
20180282726 Bertram et al. Oct 2018 A1
20180282803 Belgrader et al. Oct 2018 A1
20180282808 Milla et al. Oct 2018 A1
Non-Patent Literature Citations (298)
Entry
Meng et al. (2012) Molecular Ther., vol. 20(5), 1046-1055.
Kleinovink et al. (2017) Oncoimmunology, vol. 6(4), e1294299, pp. 1-7; doi:10.1080/212402X.2017.1294299.
Maples et al. (Winter 2009/2010) Bioprocessing Journal, vol. 8(4), 4-14.
Quezada et al. (2006) J. Clin. Invest., vol. 116(7), 1935-1945.
Liang, Xudong (2015) ProQuest Dissertations and Theses, 2 pages, abstract only.
Liu et al. (2018) Cell Reports, vol. 24, 2101-2111.
Ain, Qurrat Ul, Jee Young Chung, and Yong-Hee Kim. “Current and future delivery systems for engineered nucleases: ZFN, TALEN and RGEN.” Journal of Controlled Release 205 (2015): 120-127.
Akhter, A., M.A. Gavrilin, L. Frantz, S. Washington, C. Ditty, D. Limoli, C. Day, A. Sarkar, C. Newland, J. Butchar, C.B. Marsh, M.D. Wewers, S. Tridandapani, T.D. Kanneganti, A.O. Amer, Caspase-7 activation by the Nlrc4/Ipaf inflammasome restricts Legionella pneumophila infection. PLoS Pathog. 5 (2009) e1000361.
Alvey, Cory, and Dennis E. Discher. “Engineering macrophages to eat cancer: from “marker of self” CD47 and phagocytosis to differentiation.” Journal of leukocyte biology 102, No. 1 (2017): 31-40.
Anderson, A.C., N. Joller, and V.K. Kuchroo, Lag-3, Tim-3, and TIGIT: Co-inhibitory Receptors with Specialized Functions in Immune Regulation. Immunity, 2016. 44(5): p. 989-1004.
Ankarcrona, M., J.M. Dypbukt, E. Bonfoco, B. Zhivotovsky, S. Orrenius, S.A. Lipton, P. Nicotera, Glutamate-induced neuronal death: a succession of necrosis or apoptosis depending on mitochondrial function. Neuron 15 (1995) 961-973.
Baglole, Carolyn J., Denise M. Ray, Steven H. Bernstein, Steven E. Feldon, Terry J. Smith, Patricia J. Sime, and Richard P. Phipps. “More than structural cells, fibroblasts create and orchestrate the tumor microenvironment.” Immunological investigations 35, No. 3-4 (2006): 297-325.
Balachandran, S., E. Thomas, G.N. Barber, A FADD-dependent innate immune mechanism in mammalian cells. Nature 432 (2004) 401-405.
Barclay A.N. and Van den Berg T.K. 2014. The interaction between signal regulatory protein alpha (SIRP-α) and CD47: structure, function, and therapeutic target. Annu Rev Immunol. 32:25-50.
Bell, B.D., S. Leverrier, B.M. Weist, R.H. Newton, A.F. Arechiga, K.A. Luhrs, N.S. Morrissette, C.M. Walsh, FADD and caspase-8 control the outcome of autophagic signaling in proliferating T cells. Proc. Natl. Acad. Sci. U.S.A. 105 (2008) 16677-16682.
Benencia, F., et al., Dendritic cells the tumor microenvironment and the challenges for an effective antitumor vaccination. J Biomed Biotechnol, 2012. 2012: p. 425476.
Bergsbaken, T., S.L. Fink, B.T. Cookson, Pyroptosis: host cell death and inflammation. Nat. Rev. Microbiol. 7 (2009) 99-109.
Berry, D.L., E.H. Baehrecke, Growth arrest and autophagy are required for salivary gland cell degradation in Drosophila. Cell 131 (2007) 1137-1148.
Brennan, M.A., B.T. Cookson, Salmonella induces macrophage death by caspase-1-dependent necrosis. Mol. Microbiol. 38 (2000) 31-40.
Brightwell, R. M., K. S. Grzankowski, S. Lele, K. Eng, M. Arshad, H. Chen, and K. Odunsi. “The CD47 “don't eat me signal” is highly expressed in human ovarian cancer.” Gynecologic oncology 143, No. 2 (2016): 393-397.
Bronte, V., et al., Recommendations for myeloid-derived suppressor cell nomenclature and characterization standards. Nat Commun, 2016. 7: p. 12150.
Bullock, T.N., TNF-receptor superfamily agonists as molecular adjuvants for cancer vaccines. Curr Opin Immunol, 2017. 47: p. 70-77.
Cannon, Martin J., and Timothy J. O'Brien. “Cellular immunotherapy for ovarian cancer.” Expert opinion on biological therapy 9, No. 6 (2009): 677-688.
Carucci, John A. “Understanding dendritic cells and their role in cutaneous carcinoma and cancer immunotherapy.” Clinical and Developmental Immunology 2013 (2013).
Chamuleau, M.E., G.J. Ossenkoppele, and A.A. van de Loosdrecht, MHC class II molecules in tumour immunology: prognostic marker and target for immune modulation. Immunobiology, 2006. 211(6-8): p. 619-25.
Chan, F.K., J. Shisler, J.G. Bixby, M. Felices, L. Zheng, M. Appel, J. Orenstein, B. Moss, M.J. Lenardo, A role for tumor necrosis factor receptor-2 and receptor-interacting protein in programmed necrosis and antiviral responses. J. Biol. Chem. 278 (2003) 51613-51621.
Chao MP, Jaiswal S, Weissman-Tsukamoto R, Alizadeh AA, Gentles AJ, Volkmer J, et al. Calreticulin is the dominant pro-phagocytic signal on multiple human cancers and is counterbalanced by CD47. Sci Transl Med. 2010;2:63-94.
Chao, M.P., I.L. Weissman, and R. Majeti, The CD47-SIRP-α pathway in cancer immune evasion and potential therapeutic implications. Curr Opin Immunol, 2012. 24(2): p. 225-32.
Chautan, M., G. Chazal, F. Cecconi, P. Gruss, P. Golstein, Interdigital cell death can occur through a necrotic and caspase-independent pathway. Curr. Biol. 9 (1999) 967-970.
Cheung, Alexander S., Sandeep T. Koshy, Alexander G. Stafford, Maartje MC Bastings, and David J. Mooney. “Adjuvant-Loaded Subcellular Vesicles Derived From Disrupted Cancer Cells for Cancer Vaccination.” Small 12, No. 17 (2016): 2321-2333.
Chiang CL, Benencia F, Coukos G. Whole tumor antigen vaccines. Semin Immunol. 2010;22:132-43.
Cho, Y., S. Challa, D. Moquin, R. Genga, T.D. Ray, M. Guildford, F.K.-M. Chan, Phosphorylation-driven assembly of the RIP1-RIP3 complex regulates programmed necrosis and virus-induced inflammation. Cell 137 (2009) 1112-1123.
Choi P.S. and Meyerson M. 2014. Targeted genomic rearrangements using CRISPR/Cas technology. Nature Communications 5:3728. doi:10.1038/ncomms4728.
Cornelis, S., K. Kersse, N. Festjens, M. Lamkanfi, P. Vandenabeele, Inflammatory caspases: targets for novel therapies. Curr. Pharm. Des. 13 (2007) 367-385.
Curiel, Tyler J., et al. “Specific recruitment of regulatory T cells in ovarian carcinoma fosters immune privilege and predicts reduced survival.” Nature medicine 10.9 (2004): 942-949. PubMed PMID: 15322536.
Curran, E., et al., STING Pathway Activation Stimulates Potent Immunity against Acute Myeloid Leukemia. Cell Rep, 2016. 15(11): p. 2357-66.
Curran, Emily, Leticia Corrales, and Justin Kline. “Targeting the innate immune system as immunotherapy for acute myeloid leukemia.” Frontiers in oncology 5 (2015): 83.
Danial, Nika N., and Stanley J. Korsmeyer. “Cell death: critical control points.” Cell 116, No. 2 (2004): 205-219.
De Gruijl TD, van den Eertwegh AJ, Pinedo HM, Scheper RJ. Whole-cell cancer vaccination: from autologous to allogeneic tumor- and dendritic cell-based vaccines. Cancer Immunol Immunother. 2008;57:1569-1577.
Degterev, A., J. Hitomi, M. Germscheid, I.L. Ch'en, O. Korkina, X. Teng, D. Abbott, G.D. Cuny, C. Yuan, G. Wagner, S.M. Hedrick, S.A. Gerber, A. Lugovskoy, J. Yuan, Identification of RIP1 kinase as a specific cellular target of necrostatins. Nat. Chem. Biol. 4 (2008) 313-321.
Degterev, A., Z. Huang, M. Boyce, Y. Li, P. Jagtap, N. Mizushima, G.D. Cuny, T.J. Mitchison, M.A. Moskowitz, J. Yuan, Chemical inhibitor of nonapoptotic cell death with therapeutic potential for ischemic brain injury. Nat. Chem. Biol. 1 (2005) 112-119.
Dhodapkar, Madhav V., and Kavita M. Dhodapkar. “Vaccines targeting cancer stem cells: are they within reach?.” Cancer journal (Sudbury, Mass.) 17, No. 5 (2011): 397.
Dranoff, G., et al., Vaccination with irradiated tumor cells engineered to secrete murine granulocyte-macrophage colony-stimulating factor stimulates potent, specific, and long-lasting anti-tumor immunity. Proc Natl Acad Sci U S A, 1993. 90(8): p. 3539-43.
Dudek, A.M., et al., Immature, Semi-Mature, and Fully Mature Dendritic Cells: Toward a DC-Cancer Cells Interface That Augments Anticancer Immunity. Front Immunol, 2013. 4: p. 438.
Dunn, G.P., L.J. Old, and R.D. Schreiber, The immunobiology of cancer immunosurveillance and immunoediting. Immunity, 2004. 21(2): p. 137-48.
Dunn, Gavin P., et al. “Cancer immunoediting: from immunosurveillance to tumor escape.” Nature immunology 3.11 (2002): 991-998. PubMed PMID: 12407406.
Duprez, L., E. Wirawan, T. Vanden Berghe, P. Vandenabeele, “Major cell death pathways at a glance”, Microbes Infect., 11 (2009), pp. 1050-1062.
Earls JK, Jin S, Ye K. Mechanobiology of human pluripotent stem cells. Tissue Eng Part B Rev. 2013;19:420-30.
Eder, C., Mechanisms of interleukin-1beta release. Immunobiology (2009).
Eggermont, Alexander MM. “Cancer Immunotherapy 2017 (Paris, France). Progress and challenges.”
Elliott, L.A., et al., Human Tumor-Infiltrating Myeloid Cells: Phenotypic and Functional Diversity. Front Immunol, 2017. 8: p. 86.
Elmore, Susan. “Apoptosis: a review of programmed cell death.” Toxicologic pathology 35, No. 4 (2007): 495-516.
Espert, L., M. Denizot, M. Grimaldi, V. Robert-Hebmann, B. Gay, M. Varbanov, P. Codogno, M. Biard-Piechaczyk, Autophagy is involved in T cell death after binding of HIV-1 envelope proteins to CXCR4. J. Clin. Invest. 116 (2006) 2161-2172.
Eyileten, Ceren, Kinga Majchrzak, Zofia Pilch, Katarzyna Tonecka, Joanna Mucha, Bartlomiej Taciak, Katarzyna Ulewicz et al. “Immune cells in cancer therapy and drug delivery.” Mediators of inflammation 2016 (2016).
Fadok, V.A., D.L. Bratton, L. Guthrie, P.M. Henson, Differential effects of apoptotic versus lysed cells on macrophage production of cytokines: role of proteases. J. Immunol. 166 (2001) 6847-6854.
Faherty, C.S., A.T. Maurelli, Staying alive: bacterial inhibition of apoptosis during infection. Trends Microbiol. 16 (2008) 173-180.
Fang, Ronnie H., Che-Ming J. Hu, Brian T. Luk, Weiwei Gao, Jonathan A. Copp, Yiyin Tai, Derek E. O'Connor, and Liangfang Zhang. “Cancer cell membrane-coated nanoparticles for anticancer vaccination and drug delivery.” Nano letters 14, No. 4 (2014): 2181-2188.
Feng, Mingye, James Y. Chen, Rachel Weissman-Tsukamoto, Jens-Peter Volkmer, Po Yi Ho, Kelly M. McKenna, Samuel Cheshier et al. “Macrophages eat cancer cells using their own calreticulin as a guide: roles of TLR and Btk.” Proceedings of the National Academy of Sciences 112, No. 7 (2015): 2145-2150.
Feng, S., Y. Yang, Y. Mei, L. Ma, D.E. Zhu, N. Hoti, M. Castanares, M. Wu, Cleavage of RIP3 inactivates its caspase-independent apoptosis pathway by removal of kinase domain. Cell. Signal. 19 (2007) 2056-2067.
Fernandes-Alnemri, T., J.W. Yu, P. Datta, J. Wu, E.S. Alnemri, AIM2 activates the inflammasome and cell death in response to cytoplasmic DNA. Nature 458 (2009) 509-513.
Festjens, N., T. Vanden Berghe, P. Vandenabeele, Necrosis, a well-orchestrated form of cell demise: signalling cascades, important mediators and concomitant immune response. Biochim. Biophys. Acta 1757 (2006) 1371-1387.
Festjens, N., T. Vanden Berghe, S. Cornelis, P. Vandenabeele, RIP1, a kinase on the crossroads of a cell's decision to live or die. Cell Death Differ. 14 (2007) 400-410.
Fink, S.L., B.T. Cookson, Caspase-1-dependent pore formation during pyroptosis leads to osmotic lysis of infected host macrophages. Cell Microbiol 8 (2006) 1812-1825.
Finn, Olivera J. “Cancer immunology.” New England Journal of Medicine 358, No. 25 (2008): 2704-2715.
Fong, Lawrence, Yafei Hou, Alberto Rivas, Claudia Benike, Alan Yuen, George A. Fisher, Mark M. Davis, and Edgar G. Engleman. “Altered peptide ligand vaccination with Flt3 ligand expanded dendritic cells for tumor immunotherapy.” Proceedings of the National Academy of Sciences 98, No. 15 (2001): 8809-8814.
Fuentes-Prior, P., G.S. Salvesen, The protein structures that shape caspase activity, specificity, activation and inhibition. Biochem. J. 384 (2004) 201-232.
Gaj, Thomas, Charles A. Gersbach, and Carlos F. Barbas III. “ZFN, TALEN, and CRISPR/Cas-based methods for genome engineering.” Trends in biotechnology 31, No. 7 (2013): 397-405.
Galluzzi, L, M.C. Maiuri, I. Vitale, H. Zischka, M. Castedo, L. Zitvogel, G. Kroemer, Cell death modalities: classification and pathophysiological implications. Cell Death Differ. 14 (2007) 1237-1243.
Galluzzi, L., C. Brenner, E. Morselli, Z. Touat, G. Kroemer, Viral control of mitochondrial apoptosis. PLoS Pathog. 4 (2008) e1000018.
Galon, Jérôme, Denis Franchimont, Naoki Hiroi, Gregory Frey, Antje Boettner, Monika Ehrhart-Bornstein, John J. O'Shea, George P. Chrousos, And Stefan R. Bornstein. “Gene profiling reveals unknown enhancing and suppressive actions of glucocorticoids on immune cells.” The FASEB journal 16, No. 1 (2002): 61-71.
Gameiro, Sofia R., Momodou L. Jammed, Max M. Wattenberg, Kwong Y. Tsang, Soldano Ferrone, and James W. Hodge. “Radiation-induced immunogenic modulation of tumor enhances antigen processing and calreticulin exposure, resulting in enhanced T-cell killing.” Oncotarget 5, No. 2 (2014): 403.
Gao, Lu, Kexin Chen, Qi Gao, Xiaodan Wang, Jian Sun, Yong-Guang Yang, “CD47 deficiency in tumor stroma promotes tumor progression by enhancing angiogenesis”, Oncotarget. 2017; 8:22406-22413. doi.org/10.18632/oncotarget.9899 (Jun. 7, 2016).
Garg, Abhishek D., Sanne Elsen, Dmitri V. Krysko, Peter Vandenabeele, Peter de Witte, and Patrizia Agostinis. “Resistance to anticancer vaccination effect is controlled by a cancer cell-autonomous phenotype that disrupts immunogenic phagocytic removal.” Oncotarget 6, No. 29 (2015): 26841.
Geller, L.T., et al., Potential role of intratumor bacteria in mediating tumor resistance to the chemotherapeutic drug gemcitabine. Science, 2017. 357(6356): p. 1156-1160.
Gopalakrishnan, V., et al., Gut microbiome modulates response to anti-PD-1 immunotherapy in melanoma patients. Science, 2018. 359(6371): p. 97-103.
Gregoire, M., C. Ligeza-Poisson, N. Juge-Morineau, and R. Spisek. “Anti-cancer therapy using dendritic cells and apoptotic tumour cells: pre-clinical data in human mesothelioma and acute myeloid leukaemia.” Vaccine 21, No. 7-8 (2003): 791-794.
Guillerey, C., N.D. Huntington, and M.J. Smyth, Targeting natural killer cells in cancer immunotherapy. Nat Immunol, 2016. 17(9): p. 1025-36.
Gul, N., et al., Macrophages eliminate circulating tumor cells after monoclonal antibody therapy. J Clin Invest, 2014. 124(2): p. 812-23.
Haining, W. Nicholas. “Abstract SY40-01: In vivo genetic screens for genes that modulate tumor immunity.” (2018): SY40-01.
Halestrap, A.P., C.P. Connern, E.J. Griffiths, P.M. Kerr, Cyclosporin A binding to mitochondrial cyclophilin inhibits the permeability transition pore and protects hearts from ischaemia/reperfusion injury. Mol. Cell. Biochem. 174 (1997) 167-172.
Hannani, Dalil, Antonella Sistigu, Oliver Kepp, Lorenzo Galluzzi, Guido Kroemer, and Laurence Zitvogel. “Prerequisites for the antitumor vaccine-like effect of chemotherapy and radiotherapy.” The Cancer Journal 17, No. 5 (2011): 351-358.
Hayday, A., F. Kyle, O. Nussbaumer, D. Enting, and M. L. Iannitto. “51: How T cells may distinguish stress from normality in an epithelium.” European Journal of Cancer 50 (2014): S13.
He, S., L. Wang, L. Miao, T. Wang, F. Du, L. Zhao, X. Wang, Receptor interacting protein kinase-3 determines cellular necrotic response to TNF-alpha. Cell 137 (2009) 1100-1111.
He, X., et al., Antitumor efficacy induced by a B16F10 tumor cell vaccine treated with mitoxantrone alone or in combination with reserpine and verapamil in mice. Exp Ther Med, 2011. 2(5): p. 911-916.
Hellerstedt BA, Pienta KJ. The current state of hormonal therapy for prostate cancer. CA Cancer J Clin. 2002;52:154-79.
Helmy, Karim Y., Shyam A. Patel, George R. Nahas, and Pranela Rameshwar. “Cancer immunotherapy: accomplishments to date and future promise.” Therapeutic delivery 4, No. 10 (2013): 1307-1320.
Herzog, Karl-Heinz, Miriam J. Chong, Manuela Kapsetaki, James I. Morgan, and Peter J. McKinnon. “Requirement for Atm in ionizing radiation-induced cell death in the developing central nervous system.” Science 280, No. 5366 (1998): 1089-1091.
Hirohashi, Yoshihiko, Toshihiko Torigoe, Satoko Inoda, Akari Takahashi, Rena Morita, Satoshi Nishizawa, Yasuaki Tamura, Hiromu Suzuki, Minoru Toyota, and Noriyuki Sato. “Immune response against tumor antigens expressed on human cancer stem-like cells/tumor-initiating cells.” Immunotherapy 2, No. 2 (2010): 201-211.
Holler, N., R. Zaru, O. Micheau, M. Thome, A. Attinger, S. Valitutti, J.L. Bodmer, P. Schneider, B. Seed, J. Tschopp, Fas triggers an alternative, caspase-8-independent cell death pathway using the kinase RIP as effector molecule. Nat. Immunol. 1 (2000) 489-495.
Inoda, Satoko, Yoshihiko Hirohashi, Toshihiko Torigoe, Rena Morita, Akari Takahashi, Hiroko Asanuma, Munehide Nakatsugawa et al. “Cytotoxic T lymphocytes efficiently recognize human colon cancer stem-like cells.” The American journal of pathology 178, No. 4 (2011): 1805-1813.
Italiani, P. and D. Boraschi, From Monocytes to M1/M2 Macrophages: Phenotypical vs. Functional Differentiation. Front Immunol, 2014. 5: p. 514.
Jagtap, P., C. Szabo, Poly(ADP-ribose) polymerase and the therapeutic effects of its inhibitors. Nat. Rev. Drug Discov. 4 (2005) 421-440.
Jaiswal, Siddhartha, and Irving L. Weissman. “Hematopoietic stem and progenitor cells and the inflammatory response.” Annals of the New York Academy of Sciences 1174, No. 1 (2009): 118-121.
Jayaraman, Subhadra, “Cancer and the Immune System: Deciphering the Relationship” (Mar. 14, 2017), blog.addgene.org/cancer-and-the-immune-system-deciphering-the-relationship.
Jin S, Ellis E, Veetil JV, Yao H, Ye K. Visualization of human immunodeficiency virus protease inhibition using a novel Forster resonance energy transfer molecular probe. Biotechnol Prog. 2011;27:1107-14.
Jin S, Veetil JV, Garrett JR, Ye K. Construction of a panel of glucose indicator proteins for continuous glucose monitoring. Biosens Bioelectron. 2011;26:3427-31.
Jin S, Yao H, Krisanarungson P, Haukas A, Ye K. Porous membrane substrates offer better niches to enhance the Wnt signaling and promote human embryonic stem cell growth and differentiation. Tissue Eng Part A. 2012;18:1419-30.
Jin, Sha, Huantong Yao, Jennifer L. Weber, Zara K. Melkoumian, and Kaiming Ye. “A synthetic, xeno-free peptide surface for expansion and directed differentiation of human induced pluripotent stem cells.” PloS one 7, No. 11 (2012): e50880; Sha, Jin, Huantong Yao, Jennifer L. Weber, Zara K. Melkoumian, and Kaiming Ye. “Correction: A Synthetic, Xeno-Free Peptide Surface for Expansion and Directed Differentiation of Human Induced Pluripotent Stem Cells.” PLoS One 8, No. 2 (2013).
Jin S, Ye K. Targeted drug delivery for breast cancer treatment. Recent Pat Anticancer Drug Discov. 2013;8:143-53.
Johnston, J.B., J.W. Barrett, S.H. Nazarian, M. Goodwin, D. Ricciuto, G. Wang, G. McFadden, A poxvirus-encoded pyrin domain protein interacts with ASC-1 to inhibit host inflammatory and apoptotic responses to infection. Immunity 23 (2005) 587-598.
Jones, K. R., L. W. Elmore, C. Jackson-Cook, G. Demasters, L. F. Povirk, S. E. Holt, and D. A. Gewirtz. “p53-Dependent accelerated senescence induced by ionizing radiation in breast tumour cells.” International journal of radiation biology 81, No. 6 (2005): 445-458.
Joyce, Johanna A., and Douglas T. Fearon. “T cell exclusion, immune privilege, and the tumor microenvironment.” Science348, No. 6230 (2015): 74-80.
Jung, C.H., C.B. Jun, S.H. Ro, Y.M. Kim, N.M. Otto, J. Cao, M. Kundu, D.H. Kim, ULK-Atg13-FIP200 complexes mediate mTOR signaling to the autophagy machinery. Mol. Biol. Cell 20 (2009) 1992-2003.
Kalai, M., G. Van Loo, T. Vanden Berghe, A. Meeus, W. Burm, X. Saelens, P. Vandenabeele, Tipping the balance between necrosis and apoptosis in human and murine cells treated with interferon and dsRNA. Cell Death Differ. 9 (2002) 981-994.
Kazemi, Tohid, Vahid Younesi, Farhad Jadidi-Niaragh, and Mehdi Yousefi. “Immunotherapeutic approaches for cancer therapy: an updated review.” Artificial cells, nanomedicine, and biotechnology 44, No. 3 (2016): 769-779.
Keirsse, J., et al., Exploiting tumor-associated dendritic cell heterogeneity for novel cancer therapies. J Leukoc Biol, 2017. 102(2): p. 317-324.
Kennedy MK, Glaccum M, Brown SN, Butz EA, Viney JL, Embers M et al. Reversible defects in natural killer and memory CD8 T cell lineages in interleukin 15-deficient mice. J Exp Med 2000; 191: 771-780.
Kenneth C. Valkenburg and Bart O. Williams. 2011. Mouse models of prostate cancer. Prostate Cancer vol. 2011.
Kershaw MH and Smyth MJ. 2013. Making macrophages eat cancers. Immunology. Science. 341(6141):41-2.
Kershaw, Michael H., and Mark J. Smyth. “Making Macrophages Eat Cancer.” Science 341, No. 6141 (2013): 41-42.
Kim, M.J., et al., Association of CD47 with natural killer cell-mediated cytotoxicity of head-and-neck squamous cell carcinoma lines. Tumour Biol, 2008. 29(1): p. 28-34.
Kleeff, Jorg, Murray Korc, Minoti Apte, Carlo La Vecchia, Colin D. Johnson, Andrew V. Biankin, Rachel E. Neale et al. “Pancreatic cancer.” Nature reviews Disease primers 2 (2016): 16022.
Koh, Eunee, Yoosoo Yang, and In-San Kim, “Exosome-SIRP-α, a CD47 blockade increases cancer cell phagocytosis”, ISEV2017 OT1.05 (May 15, 2017), www.rug.nl/research/portal/files/51552775/Abstract_Book_ISEV2017.pdf.
Koike, M., M. Shibata, M. Tadakoshi, K. Gotoh, M. Komatsu, S. Waguri, N. Kawahara, K. Kuida, S. Nagata, E. Kominami, K. Tanaka, Y. Uchiyama, Inhibition of autophagy prevents hippocampal pyramidal neuron death after hypoxic-ischemic injury. Am. J. Pathol. 172 (2008) 454-469.
Kooreman, N.G., et al., Autologous iPSC-Based Vaccines Elicit Anti-tumor Responses In Vivo. Cell Stem Cell, 2018. 22(4): p. 501-513 e7.
Kosta, A., C. Roisin-Bouffay, M.F. Luciani, G.P. Otto, R.H. Kessin, P. Golstein, Autophagy gene disruption reveals a non-vacuolar cell death pathway in Dictyostelium. J. Biol. Chem. 279 (2004) 48404-48409.
Kroemer, G., et al., Immunogenic cell death in cancer therapy. Annu Rev Immunol, 2013. 31: p. 51-72.
Kroemer, G., L. Galluzzi, C. Brenner, Mitochondrial membrane permeabilization in cell death. Physiol. Rev. 87 (2007) 99-163.
Kroemer, Guido, Laura Senovilla, Lorenzo Galluzzi, Fabrice André, and Laurence Zitvogel. “Natural and therapy-induced immunosurveillance in breast cancer.” Nature medicine 21, No. 10 (2015): 1128.
Kroemer, Guido, Lorenzo Galluzzi, Oliver Kepp, and Laurence Zitvogel. “Immunogenic cell death in cancer therapy.” Annual review of immunology 31 (2013): 51-72.
Kruger, C., T.F. Greten, and F. Korangy, Immune based therapies in cancer. Histol Histopathol, 2007. 22(6): p. 687-96.
Krysko, D.V., G. Brouckaert, M. Kalai, P. Vandenabeele, K. D'Herde, Mechanisms of internalization of apoptotic and necrotic L929 cells by a macrophage cell line studied by electron microscopy. J. Morphol. 258 (2003) 336-345.
Krysko, D.V., P. Vandenabeele, From regulation of dying cell engulfment to development of anti-cancer therapy. Cell Death Differ. 15 (2008) 29-38.
Kumai, T., et al., Cancer immunotherapy: moving forward with peptide T cell vaccines. Curr Opin Immunol, 2017. 47: p. 57-63.
Kumar, V., et al., The Nature of Myeloid-Derived Suppressor Cells in the Tumor Microenvironment. Trends Immunol, 2016. 37(3): p. 208-220.
Labbe, K., M. Saleh, Cell death in the host response to infection. Cell Death Differ. 15 (2008) 1339-1349.
LaCasse, E.C., D.J. Mahoney, H.H. Cheung, S. Plenchette, S. Baird, R.G. Korneluk, IAP-targeted therapies for cancer. Oncogene 27 (2008) 6252-6275.
Lamkanfi, M., T.D. Kanneganti, P. Van Damme, T. Vanden Berghe, I. Vanoverberghe, J. Vandekerckhove, P. Vandenabeele, K. Gevaert, G. Nunez, Targeted peptidecentric proteomics reveals caspase-7 as a substrate of the caspase-1 inflammasomes. Mol. Cell Proteomics 7 (2008) 2350-2363.
Lane-Reticker, Sarah K., Robert T. Manguso, and W. Nicholas Haining. “Pooled in vivo screens for cancer immunotherapy target discovery.” (2018): 167-170.
Laporte, C., A. Kosta, G. Klein, L. Aubry, D. Lam, E. Tresse, M.F. Luciani, P. Golstein, A necrotic cell death model in a protist. Cell Death Differ. 14 (2007) 266-274.
Lara-Tejero, M., F.S. Sutterwala, Y. Ogura, E.P. Grant, J. Bertin, A.J. Coyle, R.A. Flavell, J.E. Galan, Role of the caspase-1 inflammasome in Salmonella typhimurium pathogenesis. J. Exp. Med. 203 (2006) 1407-1412.
Lau, Cia-Hin, and Yousin Suh. “In vivo genome editing in animals using AAV-CRISPR system: applications to translational research of human disease.” F1000Research 6 (2017).
Lavender, Kerry J., Wendy W. Pang, Ronald J. Messer, Amanda K. Duley, Brent Race, Katie Phillips, Dana Scott et al. “BLT-humanized C57BL/6 Rag2-/-γc-/-CD47-/-mice are resistant to GVHD and develop B and T cell immunity to HIV infection.” Blood (2013): blood-2013.
Lee, C.Y., E.H. Baehrecke, Steroid regulation of autophagic programmed cell death during development. Development 128 (2001) 1443-1455.
Lee, Daniel W., et al. “T cells expressing CD19 chimeric antigen receptors for acute lymphoblastic leukaemia in children and young adults: a phase 1 dose-escalation trial.” The Lancet 385.9967 (2015): 517-528. PubMed PMID: 25319501.
Lee, S. and K. Margolin, Tumor-infiltrating lymphocytes in melanoma. Curr Oncol Rep, 2012. 14(5): p. 468-74.
Lehmann, B., et al., Tumor location determines tissue-specific recruitment of tumor-associated macrophages and antibody-dependent immunotherapy response. Sci Immunol, 2017. 2(7).
Li, P., H. Allen, S. Banerjee, S. Franklin, L. Herzog, C. Johnston, J. McDowell, M. Paskind, L. Rodman, J. Salfeld, et al., Mice deficient in IL-1 beta-converting enzyme are defective in production of mature IL-1 beta and resistant to endotoxic shock. Cell 80 (1995) 401-411.
Li, T., et al., Antitumor Activity of cGAMP via Stimulation of cGAS-cGAMP-STING-IRF3 Mediated Innate Immune Response. Sci Rep, 2016. 6: p. 19049.
Li, Ting, Bo Liu, Martin H. Spalding, Donald P. Weeks, and Bing Yang. “High-efficiency TALEN-based gene editing produces disease-resistant rice.” Nature biotechnology 30, No. 5 (2012): 390.
Liang, Puping, Yanwen Xu, Xiya Zhang, Chenhui Ding, Rui Huang, Zhen Zhang, Jie Lv et al. “CRISPR/Cas9-mediated gene editing in human tripronuclear zygotes.” Protein & cell 6, No. 5 (2015): 363-372.
Liang, Xudong. “Development of a novel breast cancer vaccine.” PhD diss., State University of New York at Binghamton, 2015.
Lim, S.Y., S.M. Davidson, M.M. Mocanu, D.M. Yellon, C.C. Smith, The cardioprotective effect of necrostatin requires the cyclophilin-D component of the mitochondrial permeability transition pore. Cardiovasc Drugs Ther. 21 (2007) 467-469.
Lin, Y., A. Devin, Y. Rodriguez, Z.G. Liu, Cleavage of the death domain kinase RIP by caspase-8 prompts TNF-induced apoptosis. Genes Dev. 13 (1999) 2514-2526.
Lin, Y., S. Choksi, H.M. Shen, Q.F. Yang, G.M. Hur, Y.S. Kim, J.H. Tran, S.A. Nedospasov, Z.G. Liu, Tumor necrosis factor-induced nonapoptotic cell death requires receptor-interacting protein-mediated cellular reactive oxygen species accumulation. J. Biol. Chem. 279 (2004) 10822-10828.
Liu, Xiaojuan, Yang Pu, Kyle Cron, Liufu Deng, Justin Kline, William A. Frazier, Hairong Xu, Hua Peng, Yang-Xin Fu, and Meng Michelle Xu. “CD47 blockade triggers T cell-mediated destruction of immunogenic tumors.” Nature medicine 21, No. 10 (2015): 1209.
Locher, Clara, Rosa Conforti, Laetitia Aymeric, Yuting Ma, Takahiro Yamazaki, Sylvie Rusakiewicz, Antoine Tesnière et al. “Desirable cell death during anticancer chemotherapy.” Annals of the New York Academy of Sciences 1209, No. 1 (2010): 99-108.
Lombardo, Angelo, Pietro Genovese, Christian M. Beausejour, Silvia Colleoni, Ya-Li Lee, Kenneth A. Kim, Dale Ando et al. “Gene editing in human stem cells using zinc finger nucleases and integrase-defective lentiviral vector delivery.” Nature biotechnology 25, No. 11 (2007): 1298.
Lowry, L.E. and W.A. Zehring, Potentiation of Natural Killer Cells for Cancer Immunotherapy: A Review of Literature. Front Immunol, 2017. 8: p. 1061.
Lum, J.J., D.E. Bauer, M. Kong, M.H. Harris, C. Li, T. Lindsten, C.B. Thompson, Growth factor regulation of autophagy and cell survival in the absence of apoptosis. Cell 120 (2005) 237-248.
Ma, Y., V. Temkin, H. Liu, R.M. Pope, NF-kappaB protects macrophages from lipopolysaccharide-induced cell death: the role of caspase 8 and receptor-interacting protein. J. Biol. Chem. 280 (2005) 41827-41834.
Ma, Yuting, Laetitia Aymeric, Clara Locher, Guido Kroemer, and Laurence Zitvogel. “The dendritic cell-tumor cross-talk in cancer.” Current opinion in immunology 23, No. 1 (2011): 146-152.
Ma, Yuting, Oliver Kepp, François Ghiringhelli, Lionel Apetoh, Laetitia Aymeric, Clara Locher, Antoine Tesniere et al. “Chemotherapy and radiotherapy: cryptic anticancer vaccines.” In Seminars in immunology, vol. 22, No. 3, pp. 113-124. Academic Press, 2010.
Mackall, Crystal L., Melinda S. Merchant, and Terry J. Fry. “Immune-based therapies for childhood cancer.” Nature reviews Clinical oncology 11, No. 12 (2014): 693.
Maeng, H., M. Terabe, and J.A. Berzofsky, Cancer vaccines: translation from mice to human clinical trials. Curr Opin Immunol, 2018. 51: p. 111-122.
Maiuri, M.C., E. Zalckvar, A. Kimchi, G. Kroemer, Self-eating and self-killing: crosstalk between autophagy and apoptosis. Nat. Rev. Mol. Cell Biol. 8 (2007) 741-752.
Majeti, R., Chao, M.P., Alizadeh, A.A., Pang, W.W., Jaiswal, S., Gibbs, K.D. Jr, van Rooijen, N., and Weissman, I.L. 2009. CD47 is an adverse prognostic factor and therapeutic antibody target on human acute myeloid leukemia stem cells. Cell 138, 286-299.
Manguso, Robert T., Hans W. Pope, Margaret D. Zimmer, Flavian D. Brown, Kathleen B. Yates, Brian C. Miller, Natalie B. Collins et al. “In vivo CRISPR screening identifies Ptpn2 as a cancer immunotherapy target.” Nature 547, No. 7664 (2017): 413.
Manguso, Robert T., Hans W. Pope, Margaret D. Zimmer, Flavian D. Brown, Kathleen B. Yates, Brian C. Miller, Natalie B. Collins et al. “In vivo CRISPR screening identifies Ptpn2 as a target for cancer immunotherapy.” Cancer Research AACR (2017): Abstract 1019.
Marcucci, Fabrizio, Cristiano Rumio, Angelo Corti, “Tumor cell-associated immune checkpoint molecules—Drivers of malignancy and stemness”, Biochimica et Biophysica Acta (BBA)—Reviews on Cancer, vol. 1868, Issue 2, Dec. 2017, pp. 571-583.
Marguet, D., M.F. Luciani, A. Moynault, P. Williamson, G. Chimini, Engulfment of apoptotic cells involves the redistribution of membrane phosphatidylserine on phagocyte and prey. Nat Cell Biol 1 (1999) 454-456.
Matsui, Y., H. Takagi, X. Qu, M. Abdellatif, H. Sakoda, T. Asano, B. Levine, J. Sadoshima, Distinct roles of autophagy in the heart during ischemia and reperfusion: roles of AMP-activated protein kinase and Beclin 1 in mediating autophagy. Circ. Res. 100 (2007) 914-922.
McCracken, Melissa N., Adriel C. Cha, and Irving L. Weissman. “Molecular pathways: activating T cells after cancer cell phagocytosis from blockade of CD47 “Don't eat me” signals.” Clinical cancer research (2015): clincanres-2520.
McKenna, E., et al., Persistent DNA damage caused by low levels of mitomycin C induces irreversible cell senescence. Cell Cycle, 2012. 11(16): p. 3132-40.
Melssen, M. and C.L. Slingluff, Jr., Vaccines targeting helper T cells for cancer immunotherapy. Curr Opin Immunol, 2017. 47: p. 85-92.
Ménard, Cédric, François Martin, Lionel Apetoh, Florence Bouyer, and François Ghiringhelli. “Cancer chemotherapy: not only a direct cytotoxic effect, but also an adjuvant for antitumor immunity.” Cancer Immunology, Immunotherapy 57, No. 11 (2008): 1579-1587.
Merad, M., et al., The dendritic cell lineage: ontogeny and function of dendritic cells and their subsets in the steady state and the inflamed setting. Annu Rev Immunol, 2013. 31: p. 563-604.
Merritt, Anita J., Terence D. Allen, Christopher S. Potten, and John A. Hickman. “Apoptosis in small intestinal epithelia from p53-null mice: evidence for a delayed, p53-independent G2/M-associated cell death after y-irradiation.” Oncogene 14, No. 23 (1997): 2759.
Michallet, M.C., E. Meylan, M.A. Ermolaeva, J. Vazquez, M. Rebsamen, J. Curran, H. Poeck, M. Bscheider, G. Hartmann, M. Konig, U. Kalinke, M. Pasparakis, J. Tschopp, TRADD protein is an essential component of the RIG-like helicase antiviral pathway. Immunity 28 (2008) 651-661.
Mittal, Deepak, Matthew M. Gubin, Robert D. Schreiber, and Mark J. Smyth. “New insights into cancer immunoediting and its three component phases—elimination, equilibrium and escape.” Current opinion in immunology 27 (2014): 16-25.
Mizushima, N., A. Kuma, Y. Kobayashi, A. Yamamoto, M. Matsubae, T. Takao, T. Natsume, Y. Ohsumi, T. Yoshimori, Mouse Apg16L, a novel WD-repeat protein, targets to the autophagic isolation membrane with the Apg12-Apg5 conjugate. J. Cell Sci. 116 (2003) 1679-1688.
Morris JC, et al.2014. Vaccination with tumor cells expressing IL-15 and IL-15Rα inhibits murine breast and prostate cancer. Gene Therapy. 21: 393-401.
Movahedi, K., et al., Different tumor microenvironments contain functionally distinct subsets of macrophages derived from Ly6C(high) monocytes. Cancer Res, 2010. 70(14): p. 5728-39.
Munn, D.H. and V. Bronte, Immune suppressive mechanisms in the tumor microenvironment. Curr Opin Immunol, 2016. 39: p. 1-6.
Muranen, Taru, and Joan S. Brugge. “Moving Closer To Victory.” In Cold Spring Harbor symposia on quantitative biology, vol. 81, pp. 281-288. Cold Spring Harbor Laboratory Press, 2016.
Muthna, Darina, Tomas Soukup, Jirina Vavrova, Jaroslav Mokry, Jana Cmielova, Benjamin Visek, Alena Jiroutova et al. “Irradiation of adult human dental pulp stem cells provokes activation of p53, cell cycle arrest, and senescence but not apoptosis.” Stem cells and development 19, No. 12 (2010): 1855-1862.
Naiyer A. Rizvi, 2*† Matthew D. Hellmann, 1,2* Alexandra Snyder, 1,2,3* Pia Kvistborg,4, et al., Mutational landscape determines sensitivity to PD-1 blockade in non-small cell lung cancer. Cancer Immunology, 2015. vol. 34(8 Issue 6230): p. 124-128.
Nakagawa, T., S. Shimizu, T. Watanabe, O. Yamaguchi, K. Otsu, H. Yamagata, H. Inohara, T. Kubo, Y. Tsujimoto, Cyclophilin D-dependent mitochondrial permeability transition regulates some necrotic but not apoptotic cell death. Nature 434 (2005) 652-658.
Naujokat, Cord. “Monoclonal antibodies against human cancer stem cells.” Immunotherapy 6, No. 3 (2014): 290-308.
Neagu, Martha R., Maria Carmela Speranza, Robert T. Manguso, Sean E. Lawler, Gordon J. Freeman, John Doench, Arlene H. Sharpe, and W. Nicholas Haining. “Immu-28. Defining Molecular Mechanisms Of Resistance To Glioblastoma (gbm) Immunity Using A Novel Crispr/cas9 In Vivo Loss-of-function Screening Platform.” Neuro-oncology 19, No. suppl_6 (2017): vi118-vi118.
Neagu, Martha R., Robert T. Manguso, Hans Pope, Maria C. Speranza, Gordon J. Freeman, John Doench, Arlene H. Sharpe, and William Nicholas Haining. “Defining molecular mechanisms of resistance to glioblastoma immunity using a novel CRISPR/Cas9 in vivo loss-of-function screening platform.” (2017): 417-417.
Neumar, R.W., Molecular mechanisms of ischemic neuronal injury. Ann. Emerg. Med. 36 (2000) 483-506.
Ngo, M., et al., Antibody Therapy Targeting CD47 and CD271 Effectively Suppresses Melanoma Metastasis in Patient-Derived Xenografts. Cell Rep, 2016. 16(6): p. 1701-1716.
Nilsson, A. and P.A. Oldenborg, CD47 promotes both phosphatidylserine-independent and phosphatidylserine-dependent phagocytosis of apoptotic murine thymocytes by non-activated macrophages. Biochem Biophys Res Commun, 2009. 387(1): p. 58-63.
Obeid, Michel, Antoine Tesniere, François Ghiringhelli, Gian Maria Fimia, Lionel Apetoh, Jean-Luc Perfettini, Maria Castedo et al. “Calreticulin exposure dictates the immunogenicity of cancer cell death.” Nature medicine 13, No. 1 (2007): 54.
Oldenborg PA, Zheleznyak A, Fang YF, Lagenaur CF, Gresham HD, Lindberg FP. Role of CD47 as a marker of self on red blood cells. Science. 2000;288:2051-4.
Ostrand-Rosenberg, S. and P. Sinha, Myeloid-derived suppressor cells: linking inflammation and cancer. J Immunol, 2009. 182(8): p. 4499-506.
Ott, P.A., et al., An immunogenic personal neoantigen vaccine for patients with melanoma. Nature, 2017. 547(7662): p. 217-221.
Overwijk, W.W. and N.P. Restifo, B16 as a mouse model for human melanoma. Curr Protoc Immunol, 2001. Chapter 20: p. Unit 20 1.
Overwijk, W.W., Cancer vaccines in the era of checkpoint blockade: the magic is in the adjuvant. Curr Opin Immunol, 2017. 47: p. 103-109.
Pachynski, R.K., et al., Evaluation of Tumor-infiltrating Leukocyte Subsets in a Subcutaneous Tumor Model. J Vis Exp, 2015(98).
Palucka, Karolina, and Jacques Banchereau. “Cancer immunotherapy via dendritic cells.” Nature Reviews Cancer 12.4 (2012): 265-277. PubMed PMID: 22437871. PubMed Central PMCID: PMC3433802.
Parajuli, N., et al., Infiltrating CD11b+CD11c+ cells have the potential to mediate inducible nitric oxide synthase-dependent cell death in mammary carcinomas of HER-2/neu transgenic mice. Int J Cancer, 2010. 126(4): p. 896-908.
Pattingre, S., A. Tassa, X. Qu, R. Garuti, X.H. Liang, N. Mizushima, M. Packer, M.D. Schneider, B. Levine, Bcl-2 antiapoptotic proteins inhibit Beclin 1-dependent autophagy. Cell 122 (2005) 927-939.
Pattingre, S., L. Espert, M. Biard-Piechaczyk, P. Codogno, Regulation of macroautophagy by mTOR and Beclin 1 complexes. Biochimie 90 (2008) 313-323.
Peinado, Héctor, Haiying Zhang, Irina R. Matei, Bruno Costa-Silva, Ayuko Hoshino, Goncalo Rodrigues, Bethan Psaila et al. “Pre-metastatic niches: organ-specific homes for metastases.” Nature Reviews Cancer 17, No. 5 (2017): 302.
Penaloza, C., L. Lin, R.A. Lockshin, Z. Zakeri, Cell death in development: shaping the embryo. Histochem. Cell Biol. 126 (2006) 149-158.
Peter, M.E., P.H. Krammer, The CD95(APO-1/Fas) DISC and beyond. Cell Death Differ. 10 (2003) 26-35.
Pobezinskaya, Y.L., Y.S. Kim, S. Choksi, M.J. Morgan, T. Li, C. Liu, Z. Liu, The function of TRADD in signaling through tumor necrosis factor receptor 1 and TRIF-dependent toll-like receptors. Nat. Immunol. 9 (2008) 1047-1054.
Portt, Liam, Grant Norman, Caitlin Clapp, Matthew Greenwood, and Michael T. Greenwood. “Anti-apoptosis and cell survival: a review.” Biochimica et Biophysica Acta (BBA)-Molecular Cell Research 1813, No. 1 (2011): 238-259. www.sciencedirect.com/science/article/pii/S0167488910002764.
Pulendran B, Dillon S, Joseph C, Curiel T, Banchereau J, Mohamadzadeh M. Dendritic cells generated in the presence of GM-CSF plus IL-15 prime potent CD8+ Tc1 responses in vivo. Eur J Immunol 2004; 34: 66-73.
Qu, X., Z. Zou, Q. Sun, K. Luby-Phelps, P. Cheng, R.N. Hogan, C. Gilpin, B. Levine, Autophagy gene-dependent clearance of apoptotic cells during embryonic development. Cell 128 (2007) 931-946.
Reed, John C. “Bcl-2 and the regulation of programmed cell death.” The Journal of cell biology 124, No. 1-2 (1994): 1-6.
Richards, D.M., J. Hettinger, and M. Feuerer, Monocytes and macrophages in cancer: development and functions. Cancer Microenviron, 2013. 6(2): p. 179-91.
Riedl, S.J., G.S. Salvesen, The apoptosome: signalling platform of cell death. Nat. Rev. Mol. Cell Biol. 8 (2007) 405-413.
Roh, D.S., et al., DNA cross-linking, double-strand breaks, and apoptosis in corneal endothelial cells after a single exposure to mitomycin C. Invest Ophthalmol Vis Sci, 2008. 49(11): p. 4837-43.
Roisin-Bouffay, C., M.F. Luciani, G. Klein, J.P. Levraud, M. Adam, P. Golstein, Developmental cell death in dictyostelium does not require paracaspase. J. Biol. Chem. 279 (2004) 11489-11494.
Roy, A., et al., Increased efficiency of gamma-irradiated versus mitomycin C-treated feeder cells for the expansion of normal human cells in long-term cultures. J Hematother Stem Cell Res, 2001. 10(6): p. 873-80.
Sahin, U., et al., Personalized RNA mutanome vaccines mobilize poly-specific therapeutic immunity against cancer. Nature, 2017. 547(7662): p. 222-226.
Sallets, Adrienne, Sophie Robinson, Adel Kardosh, and Ronald Levy. “Enhancing immunotherapy of STING agonist for lymphoma in preclinical models.” Blood advances 2, No. 17 (2018): 2230-2241.
Salvesen, G.S., S.J. Riedl, Caspase mechanisms. Adv. Exp. Med. Biol. 615 (2008) 13-23.
Sarkar, A., M.W. Hall, M. Exline, J. Hart, N. Knatz, N.T. Gatson, M.D. Wewers, Caspase-1 regulates Escherichia coli sepsis and splenic B cell apoptosis independently of interleukin-1beta and interleukin-18. Am. J. Respir. Crit. Care Med. 174 (2006) 1003-1010.
Saxena, Mansi, Sreekumar Balan, Vladimir Roudko, and Nina Bhardwaj. “Towards superior dendritic-cell vaccines for cancer therapy.” Nat. Biomed. Eng. 2 (2018): 341-346.
Scarlatti, F., R. Granata, A.J. Meijer, P. Codogno, Does autophagy have a license to kill mammalian cells? Cell Death Differ. 16 (2009) 12-20.
Scarlett, U.K., et al., Ovarian cancer progression is controlled by phenotypic changes in dendritic cells. J Exp Med, 2012. 209(3): p. 495-506.
Schanne, F. A., Agnes B. Kane, Ellora E. Young, and John L. Farber. “Calcium dependence of toxic cell death: a final common pathway.” Science 206, No. 4419 (1979): 700-702.
Scheffer, S.R., et al., Apoptotic, but not necrotic, tumor cell vaccines induce a potent immune response in vivo. Int J Cancer, 2003. 103(2): p. 205-11.
Schroder, K., D.A. Muruve, J. Tschopp, Innate immunity: cytoplasmic DNA sensing by the AIM2 inflammasome. Curr. Biol. 19 (2009) R262-265.
Scott, Andrew M., Jedd D. Wolchok, and Lloyd J. Old. “Antibody therapy of cancer.” Nature Reviews Cancer 12.4 (2012): 278-287. PubMed PMID: 22437872.
Shao, W., G. Yeretssian, K. Doiron, S.N. Hussain, M. Saleh, The caspase-1 digestome identifies the glycolysis pathway as a target during infection and septic shock. J. Biol. Chem. 282 (2007) 36321-36329.
Sharma, Padmanee, Siwen Hu-Lieskovan, Jennifer A. Wargo, and Antoni Ribas. “Primary, adaptive, and acquired resistance to cancer immunotherapy.” Cell 168, No. 4 (2017): 707-723.
Shen, Bin, Jun Zhang, Hongya Wu, Jianying Wang, Ke Ma, Zheng Li, Xueguang Zhang, Pumin Zhang, and Xingxu Huang. “Generation of gene-modified mice via Cas9/RNA-mediated gene targeting.” Cell research 23, No. 5 (2013): 720.
Shiao, Stephen L., A. Preethi Ganesan, Hope S. Rugo, and Lisa M. Coussens. “Immune microenvironments in solid tumors: new targets for therapy.” Genes & development 25, No. 24 (2011): 2559-2572.
Sick, E., et al., CD47 update: a multifaceted actor in the tumour microenvironment of potential therapeutic interest. Br J Pharmacol, 2012. 167(7): p. 1415-30.
Smyth, Mark J., Shin Foong Ngiow, Antoni Ribas, and Michele WL Teng. “Combination cancer immunotherapies tailored to the tumour microenvironment.” Nature reviews Clinical oncology 13, No. 3 (2016): 143.
Sockolosky, J.T., et al., Durable antitumor responses to CD47 blockade require adaptive immune stimulation. Proc Natl Acad Sci U S A, 2016. 113(19): p. E2646-54.
Sofia R. Gameiro, J.A.C., Jack P. Higgins, David Apelian, James W. Hodge, Exploitation of differential homeostatic proliferation of T-cell subsets following chemotherapy to enhance the efficacy of vaccine-mediated antitumor responses. Cancer Immunol Immunother, 2011.
Sofia R. Gameiro1, M.L.J., Max M. Wattenberg1, Kwong Y. Tsang1, and a.J.W.H. Soldano Ferrone, Radiation-induced immunogenic modulation of tumor enhances antigen processing and calreticulin exposure, resulting in enhanced T-cell killing. Oncotarget, 2013. 5.
Sokolowska, O. and D. Nowis, STING Signaling in Cancer Cells: Important or Not? Arch Immunol Ther Exp (Warsz), 2018. 66(2): p. 125-132.
Song, Jun, Dongshan Yang, Jie Xu, Tianqing Zhu, Y. Eugene Chen, and Jifeng Zhang. “RS-1 enhances CRISPR/Cas9-and TALEN-mediated knock-in efficiency.” Nature communications 7 (2016): 10548.
Soto-Pantoja, D.R., et al., CD47 in the tumor microenvironment limits cooperation between antitumor T-cell immunity and radiotherapy. Cancer Res, 2014. 74(23): p. 6771-83.
Stanton, S.E. and M.L. Disis, Designing vaccines to prevent breast cancer recurrence or invasive disease. Immunotherapy, 2015. 7(2): p. 69-72.
Steinman, Ralph M., and Madhav Dhodapkar. “Active immunization against cancer with dendritic cells: the near future.” International journal of cancer 94, No. 4 (2001): 459-473.
Strozyk, Elwira, and Dagmar Kulms. “The role of AKT/mTOR pathway in stress response to UV-irradiation: implication in skin carcinogenesis by regulation of apoptosis, autophagy and senescence.” International journal of molecular sciences 14, No. 8 (2013): 15260-15285.
Suzuki, Yasuyuki, Yuzuru Imai, Hiroshi Nakayama, Kazuko Takahashi, Koji Takio, and Ryosuke Takahashi. “A serine protease, HtrA2, is released from the mitochondria and interacts with XIAP, inducing cell death.” Molecular cell 8, No. 3 (2001): 613-621.
Syn, Nicholas L., Lingzhi Wang, Edward Kai-Hua Chow, Chwee Teck Lim, and Boon-Cher Goh. “Exosomes in cancer nanomedicine and immunotherapy: prospects and challenges.” Trends in biotechnology 35, No. 7 (2017): 665-676.
Tebas, Pablo, David Stein, Winson W. Tang, Ian Frank, Shelley Q. Wang, Gary Lee, S. Kaye Spratt et al. “Gene editing of CCR5 in autologous CD4 T cells of persons infected with HIV.” New England Journal of Medicine 370, No. 10 (2014): 901-910.
Terness, P., et al., Mitomycin C-treated dendritic cells inactivate autoreactive T cells: toward the development of a tolerogenic vaccine in autoimmune diseases. Proc Natl Acad Sci U S A, 2008. 105(47): p. 18442-7.
Thibodeaux, Suzanne R., and Tyler J. Curiel. “Immune therapy for ovarian cancer: promise and pitfalls.” International reviews of immunology 30, No. 2-3 (2011): 102-119.
Thyss, Raphael, Virginie Virolle, Véronique Imbert, Jean-François Peyron, Daniel Aberdam, and Thierry Virolle. “NF-κB/Egr-1/Gadd45 are sequentially activated upon UVB irradiation to mediate epidermal cell death.” The EMBO journal 24, No. 1 (2005): 128-137.
Tran Janco, J.M., et al., Tumor-infiltrating dendritic cells in cancer pathogenesis. J Immunol, 2015. 194(7): p. 2985-91.
Tseng, Diane, Jens-Peter Volkmer, Stephen B. Willingham, Humberto Contreras-Trujillo, John W. Fathman, Nathaniel B. Fernhoff, Jun Seita et al. “Anti-CD47 antibody-mediated phagocytosis of cancer by macrophages primes an effective antitumor T-cell response.” Proceedings of the National Academy of Sciences 110, No. 27 (2013): 11103-11108.
Turnis, Meghan E., and Cliona M. Rooney. “Enhancement of dendritic cells as vaccines for cancer.” Immunotherapy 2, No. 6 (2010): 847-862.
Valkenburg KC, Williams BO. Mouse models of prostate cancer. Prostate Cancer. 2011;2011:895238.
Van Noorden, C.J., The history of Z-VAD-FMK, a tool for understanding the significance of caspase inhibition. Acta Histochem. 103 (2001) 241-251.
Vanden Berghe, T., M. Kalai, G. Denecker, A. Meeus, X. Saelens, P. Vandenabeele, Necrosis is associated with IL-6 production but apoptosis is not. Cell. Signal. 18 (2006) 328-335.
Vandenabeele, P., T. Vanden Berghe, N. Festjens, Caspase inhibitors promote alternative cell death pathways 2006. Sci. STKE (2006) e44.
Vanlangenakker, N., T.V. Berghe, D.V. Krysko, N. Festjens, P. Vandenabeele, Molecular mechanisms and pathophysiology of necrotic cell death. Curr Mol Med 8 (2008) 207-220.
Veetil JV, Jin S, Ye K. A glucose sensor protein for continuous glucose monitoring. Biosens Bioelectron. 2010;26:1650-5.
Veetil JV, Jin S, Ye K. Fluorescence lifetime imaging microscopy of intracellular glucose dynamics. J Diabetes Sci Technol. 2012;6:1276-85.
Vermeer, Daniel W., William C. Spanos, Paola D. Vermeer, Annie M. Bruns, Kimberly M. Lee, and John H. Lee. “Radiation-induced loss of cell surface CD47 enhances immune-mediated clearance of human papillomavirus-positive cancer.” International journal of cancer 133, No. 1 (2013): 120-129.
Villanueva, M. Teresa. “Cancer immunotherapy: Searching in the immune checkpoint black box.” Nature Reviews Drug Discovery 16, No. 9 (2017): 599.
Vinay, Dass S., et al. “Immune evasion in cancer: Mechanistic basis and therapeutic strategies.” Seminars in cancer biology. vol. 35, p. S185-S198. Academic Press, 2015. PubMed PMID: 25818339.
Voisine, Richard, Louis-P. Vézina, and Claude Willemot. “Induction of senescence-like deterioration of microsomal membranes from cauliflower by free radicals generated during gamma irradiation.” Plant physiology 97, No. 2 (1991): 545-550.
Volkmer, A. K., S. B. Willingham, S. R. Tseng, P. Y. Ho, J. P. Volkmer, B. I. Sikic, R. Majeti, and I. L. Weissman. “50: Proffered Paper: Overcoming immune evasion in ovarian and breast cancer with anti-CD47 antibody blockade: A novel class of immune therapy.” European Journal of Cancer 50 (2014): S13.
Von Roemeling, Christina, Wen Jiang, Charles K. Chan, Irving L. Weissman, and Betty YS Kim. “Breaking down the barriers to precision cancer nanomedicine.” Trends in biotechnology35, No. 2 (2017): 159-171.
Waldman, Todd, Yonggang Zhang, Larry Dillehay, Jian Yu, Kenneth Kinzler, Bert Vogelstein, and Jerry Williams. “Cell-cycle arrest versus cell death in cancer therapy.” Nature medicine 3, No. 9 (1997): 1034.
Wang Y, Xu Z, Guo S, Zhang L, Sharma A, Robertson GP, et al. Intravenous delivery of siRNA targeting CD47 effectively inhibits melanoma tumor growth and lung metastasis. Mol Ther. 2013;21:1919-29.
Wang, L., F. Du, X. Wang, TNF-alpha induces two distinct caspase-8 activation pathways. Cell 133 (2008) 693-703.
Wei, Chuanxian, Jiyong Liu, Zhongsheng Yu, Bo Zhang, Guanjun Gao, and Renjie Jiao. “TALEN or Cas9-rapid, efficient and specific choices for genome modifications.” Journal of Genetics and Genomics 40, No. 6 (2013): 281-289.
Wei, Y., S. Pattingre, S. Sinha, M. Bassik, B. Levine, JNK1-mediated phosphorylation of Bcl-2 regulates starvation-induced autophagy. Mol. Cells 30 (2008) 678-688.
Weiner, George J. “Building better monoclonal antibody-based therapeutics.” Nature Reviews Cancer 15.6 (2015): 361-370. PubMed PMID: 25998715. PubMed Central PMCID: PMC4491443.
Weiskopf K, Ring AM, Ho CC, Volkmer JP, Levin AM, Volkmer AK, et al. Engineered SIRPα variants as immunotherapeutic adjuvants to anticancer antibodies. Science. 2013;341:88-91.
Weiskopf, K., et al., CD47-blocking immunotherapies stimulate macrophage-mediated destruction of small-cell lung cancer. J Clin Invest, 2016. 126(7): p. 2610-20.
Weiskopf, K., et al., Engineered SIRP-α variants as immunotherapeutic adjuvants to anticancer antibodies. Science, 2013. 341(6141): p. 88-91.
Weiskopf, Kipp. “Cancer immunotherapy targeting the CD47/SIRP-α axis.” European Journal of Cancer 76 (2017): 100-109.
Wherry, E.J. and M. Kurachi, Molecular and cellular insights into T cell exhaustion. Nat Rev Immunol, 2015. 15(8): p. 486-99.
Wiemann, S., A. Bott, I. Keklikoglou, C. Giacomelli, A. Balwierz, S. Uhlmann, H. Mannsperger, U. Korf, and C. Breunig. “53: miRNA-protein interaction networks in cancer.” European Journal of Cancer 50 (2014): S13.
Willingham, S.B., D.T. Bergstralh, W. O'Connor, A.C. Morrison, D.J. Taxman, J.A. Duncan, S. Barnoy, M.M. Venkatesan, R.A. Flavell, M. Deshmukh, H.M. Hoffman, J.P. Ting, Microbial pathogen-induced necrotic cell death mediated by the inflammasome components CIAS1/cryopyrin/NLRP3 and ASC. Cell Host Microbe. 2 (2007) 147-159.
Willingham, Stephen B., Jens-Peter Volkmer, Andrew J. Gentles, Debashis Sahoo, Piero Dalerba, Siddhartha S. Mitra, Jian Wang et al. “The CD47-signal regulatory protein alpha (SIRP-α) interaction is a therapeutic target for human solid tumors.” Proceedings of the National Academy of Sciences 109, No. 17 (2012): 6662-6667.
Wilson, N.S., V. Dixit, A. Ashkenazi, Death receptor signal transducers: nodes of coordination in immune signaling networks. Nat. Immunol. 10 (2009) 348-355.
Wilt TJ, MacDonald R, Rutks I, Shamliyan TA, Taylor BC, Kane RL. Systematic review: comparative effectiveness and harms of treatments for clinically localized prostate cancer. Ann Intern Med. 2008; 148:435-48.
Wlaschek, Meinhard, Wenjian Ma, Pidder Jansen-Dürr, and Karin Scharffetter-Kochanek. “Photoaging as a consequence of natural and therapeutic ultraviolet irradiation—studies on PUVA-induced senescence-like growth arrest of human dermal fibroblasts.” Experimental gerontology 38, No. 11-12 (2003): 1265-1270.
Wong, Karrie K., WeiWei Aileen Li, David J. Mooney, and Glenn Dranoff. “Advances in therapeutic cancer vaccines.” In Advances in immunology, vol. 130, pp. 191-249. Academic Press, 2016.
Wu, Y.T. H.L. Tan, Q. Huang, Y.S. Kim, N. Pan, W.Y. Ong, Z.G. Liu, C. N. Ong, H.M. Shen, Autophagy plays a protective role during zVAD-induced necrotic cell death. Autophagy 4 (2008) 457-466.
Wyllie, Andrew H. “Cell death.” In Cytology and Cell Physiology (Fourth Edition), pp. 755-785. 1987.
Xie, Yu-Qing, Lixia Wei, and Li Tang. “Immunoengineering with biomaterials for enhanced cancer immunotherapy.” Wiley Interdisciplinary Reviews: Nanomedicine and Nanobiotechnology (2018): e1506.
Xie, Z., D.J. Klionsky, Autophagosome formation: core machinery and adaptations. Nat. Cell Biol. 9 (2007) 1102-1109.
Xu, Y., S. Huang, Z.G. Liu, J. Han, Poly(ADP-ribose) polymerase-1 signaling to mitochondria in necrotic cell death requires RIP1/TRAF2-mediated JNK1 activation. J. Biol. Chem. 281 (2006) 8788-8795.
Xu, Zhenghong, Yuhua Wang, Lu Zhang, and Leaf Huang. “Nanoparticle-delivered transforming growth factor-β siRNA enhances vaccination against advanced melanoma by modifying tumor microenvironment.” ACS nano 8, No. 4 (2014): 3636-3645.
Yamashima, T., Y. Kohda, K. Tsuchiya, T. Ueno, J. Yamashita, T. Yoshioka, E. Kominami, Inhibition of ischaemic hippocampal neuronal death in primates with cathepsin B inhibitor CA-074: a novel strategy for neuroprotection based on ‘calpain-cathepsin hypothesis’. Eur. J. Neurosci. 10 (1998) 1723-1733.
Yarchoan, Mark, Burles A. Johnson III, Eric R. Lutz, Daniel A. Laheru, and Elizabeth M. Jaffee. “Targeting neoantigens to augment antitumour immunity.” Nature Reviews Cancer 17, No. 4 (2017): 209.
Yi, J.S., M.A. Cox, and A.J. Zajac, T-cell exhaustion: characteristics, causes and conversion. Immunology, 2010. 129(4): p. 474-81.
Yinuo Li, S.L., Ying Xu, Chunping Qiu, Chengjuan Jin, Yuqiong Wang, Zhaojian Liu, Beihua Kong, Overexpression of CD47 predicts poor prognosis and promotes cancer cell invasion in high-grade serous ovarian carcinoma. Am J Transl Res, 2017.
Yong, Seok-Beom, Jee Young Chung, Yoonsung Song, and Yong-Hee Kim. “Recent challenges and advances in genetically-engineered cell therapy.” Journal of Pharmaceutical Investigation (2018): 1-10.
You, Benshuai, Wenrong Xu, and Bin Zhang. “Engineering exosomes: a new direction for anticancer treatment.” American journal of cancer research 8, No. 8 (2018): 1332.
Youle, R.J., A. Strasser, The BCL-2 protein family: opposing activities that mediate cell death. Nat. Rev. Mol. Cell Biol. 9 (2008) 47-59.
Yu, Guang-Tao, Lin-Lin Bu, Cong-Fa Huang, Wen-Feng Zhang, Wan-Jun Chen, J. Silvio Gutkind, Ashok B. Kulkarni, and Zhi-Jun Sun. “PD-1 blockade attenuates immunosuppressive myeloid cells due to inhibition of CD47/SIRP-α axis in HPV negative head and neck squamous cell carcinoma.” Oncotarget 6, No. 39 (2015): 42067.
Yu, L., A. Alva, H. Su, P. Dutt, E. Freundt, S. Welsh, E.H. Baehrecke, M. J. Lenardo, Regulation of an ATG7-beclin 1 program of autophagic cell death by caspase-8. Science 304 (2004) 1500-1502.
Yu, L., F. Wan, S. Dutta, S. Welsh, Z. Liu, E. Freundt, E.H. Baehrecke, M. Lenardo, Autophagic programmed cell death by selective catalase degradation. Proc. Natl. Acad. Sci. U.S.A. 103 (2006) 4952-4957.
Zampetti-Bosseler, F., and David Scott. “Cell death, chromosome damage and mitotic delay in normal human, ataxia telangiectasia and retinoblastoma fibroblasts after X-irradiation.” International Journal of Radiation Biology and Related Studies in Physics, Chemistry and Medicine 39, No. 5 (1981): 547-558.
Zanke, Brent W., Kimberly Boudreau, Elizabeth Rubie, Elaine Winnett, Lee Anne Tibbles, Leonard Zon, John Kyriakis, Fei-Fei Liu, and James R. Woodgett. “The stress-activated protein kinase pathway mediates cell death following injury induced by cis-platinum, UV irradiation or heat.” Current Biology 6, No. 5 (1996): 606-613.
Zhang, D.W., J. Shao, J. Lin, N. Zhang, B.J. Lu, S.C. Lin, M.Q. Dong, J. Han, RIP3, an energy metabolism regulator that switches TNF-induced cell death from apoptosis to necrosis. Science (2009).
Zhang, H., et al., Antitumor efficacy of CD137 ligation is maximized by the use of a CD137 single-chain Fv-expressing whole-cell tumor vaccine compared with CD137-specific monoclonal antibody infusion. Mol Cancer Ther, 2006. 5(1): p. 149-55.
Zhang, M., et al., Anti-CD47 Treatment Stimulates Phagocytosis of Glioblastoma by M1 and M2 Polarized Macrophages and Promotes M1 Polarized Macrophages In Vivo. PLoS One, 2016. 11(4): p. e0153550.
Zhao, H., et al., CD47 Promotes Tumor Invasion and Metastasis in Non-small Cell Lung Cancer. Sci Rep, 2016. 6: p. 29719.
Zheng, Yuanhong, Guifang Yin, Vanminh Le, Anle Zhang, Siyu Chen, Xin Liang, and Jianwen Liu. “Photodynamic-therapy activates immune response by disrupting immunity homeostasis of tumor cells, which generates vaccine for cancer therapy.” International journal of biological sciences 12, No. 1 (2016): 120.
Zhu Y, Dong Z, Wejinya UC, Jin S, Ye K. Determination of mechanical properties of soft tissue scaffolds by atomic force microscopy nanoindentation. J Biomech. 2011;44:2356-61.
Related Publications (1)
Number Date Country
20200113986 A1 Apr 2020 US
Provisional Applications (1)
Number Date Country
62743801 Oct 2018 US