Patent Application
20200264186
This application claims the benefit of priority of SG provisional application No. 10201708183V, filed 4 Oct. 2017, the contents of it being hereby incorporated by reference in its entirety for all purposes.
The present invention relates generally to the field of molecular biology. In particular, the present invention relates to the use of biomarkers for the detection and characterisation of cancer.
An invasive tumour phenotype drives faster tumour growth and is often correlated with the formation of metastases and poor prognosis. For most patients with cancers, metastasis is the ultimate cause of mortality. Detection of cancers at an early stage is difficult due to the lack of sensitivity of current methods, as well as the lack of targets available to allow such detection. Most cancers can only be detected at later stages, and, sometimes, at a time when the disease is no longer curable or the symptoms no longer treatable.
Thus there is an unmet need for methods which allow early detection and characterisation of cancer.
In one aspect, the present invention refers to a method of detecting the presence or absence of cancer, wherein the method comprises the steps of (i) obtaining a sample from a subject; (ii) detecting the level of O-glycosylation of one or more endoplasmic reticulum (ER)-resident proteins in the sample obtained in step (ii); (iii) comparing the level of O-glycosylation of one or more endoplasmic reticulum (ER)-resident proteins in step (ii) with the level of O-glycosylation of one or more endoplasmic reticulum (ER)-resident proteins in a control group; wherein an increase in the level of O-glycosylation of one or more endoplasmic reticulum (ER)-resident proteins present in the sample compared to the control group is indicative of the presence of cancer.
In another aspect, the present invention refers to a method of determining the risk of a subject developing cancer, wherein the method comprises the steps of (i) obtaining a sample from a subject; (ii) detecting the level of O-glycosylation of one or more endoplasmic reticulum (ER)-resident proteins in the sample; (iii) comparing the level of O-glycosylation of one or more endoplasmic reticulum (ER)-resident proteins in step (ii) with the level of O-glycosylation of one or more endoplasmic reticulum (ER)-resident proteins in a control group; wherein an at least 4-fold increase in the level of O-glycosylation of one or more endoplasmic reticulum (ER)-resident proteins present in the sample compared to the control group is indicative that the subject is suffering from cancer.
In yet another aspect, the present invention refers to a method of determining the malignancy, grade, or staging of a cancer, the method comprising (i) obtaining a sample from a subject; (ii) detecting the level of O-glycosylation of one or more endoplasmic reticulum (ER)-resident proteins in the sample; (iii) comparing the level of O-glycosylation of one or more endoplasmic reticulum (ER)-resident proteins in step (ii) with the level of O-glycosylation of one or more endoplasmic reticulum (ER)-resident proteins in a group defined for each grade of cancer.
In a further aspect, the present invention refers to a kit comprising a monosaccharide-binding protein capable of binding to one or more O-glycosylated endoplasmic reticulum (ER)-resident proteins; a detection agent capable of binding to the monosaccharide-binding protein and/or the one or more O-glycosylated endoplasmic reticulum (ER)-resident proteins; and one or more standards, wherein each standard comprises any one of the O-glycosylated endoplasmic reticulum (ER)-resident proteins as disclosed herein.
The invention will be better understood with reference to the detailed description when considered in conjunction with the non-limiting examples and the accompanying drawings, in which:
Many cancers are associated with invasive phenotypes, usually resulting in lethal outcomes. Generally speaking, the later the stage of the disorder, the more serious the symptoms are. While some disorders can be detected early, it is difficult to detect the disorders at the early stages due to the lack of sensitivity of current methods, as well as the lack of targets or biomarkers available to allow such detection. Most of the disorders can only be detected at later stages, and sometimes when the symptoms are no longer treatable or the disease incurable.
Glycosylation is frequently altered in cancer. Protein glycosylation is heavily modified in cancer, where cell-surface glycosylated proteins dictate how cancer cells interact with surrounding tissue and proliferate. Invasiveness also correlates with perturbed O-glycosylation, a covalent modification of cell-surface proteins.
For example and without being bound by theory, it is thought that an invasive tumour phenotype drives faster tumour growth, and is often correlated with the formation of metastases and poor prognosis.
Cancer, for example, can be a devastating disease with high mortality rates, especially at the later stages. For most cancer patients, metastasis is the ultimate cause of mortality. The molecular mechanisms that cause cancers to grow within tissues remain unclear. An invasive tumour phenotype drives faster tumour growth and is often correlated with the formation of metastases and poor prognosis.
One such example is liver cancer, wherein the invasive phenotype is correlated to intra-liver metastases and usually a lethal outcome. Liver cancer is rising in incidence and currently the sixth most common and second-leading cause of cancer-related deaths worldwide. This high mortality arises because of the difficulty associated with the early diagnosis of liver cancer, combined with a lack of effective chemotherapeutic treatments and a tendency for tumours to metastasize both locally and into other organs, rendering surgical recession ineffective. While methods are currently available to diagnose cancer, the accuracy and efficacy of these methods remain to be proven. In addition, there is a lack of methods to effectively detect cancers in the early stages.
Thus, in one aspect, there is disclosed a method of detecting the presence or absence of a cancer. Also disclosed herein are methods for determining the risk of a subject developing cancer, and methods for method of determining the malignancy of a disorder, for example cancer. The methods disclosed herein are based on the use of biomarkers as disclosed herein for determining the presence of absence of the diseases described herein.
In one example, the determination of the presence or absence of a disorder comprises detecting the level of O-glycosylation of one or more endoplasmic reticulum (ER)-resident proteins in the sample obtained from a subject. In another example, the detected levels are compared to levels of the same targets in a control group. In yet another example, the increase in the level of O-glycosylation of one or more endoplasmic reticulum (ER)-resident proteins is indicative of the presence of a disorder. In another example, the decrease in the level of O-glycosylation of one or more endoplasmic reticulum (ER)-resident proteins is indicative of the absence of a disorder.
As used herein, the terms “disorder” and “disease” can be used interchangeably, and refer to an undesirable condition or syndrome, wherein a more or less specific set of symptoms have been identified by clinicians. The method disclosed herein can be used to detect one or more of the diseases as disclosed herein.
In one example, the disorder is cancer. For example, the cancer is, but is not limited to, liver cancer, breast cancer, lung cancer, hepatocellular carcinoma (HCC), hepatocellular adenoma (HCA), fibrolamellar hepatocellular carcinoma (FHCC), hepatoblastoma, focal nodular hyperplasia (FNH), nodular regenerative hyperplasia, ductal carcinoma in situ (DCIS), Paget's disease of the breast, comedocarcinoma, invasive ductal carcinoma (IDC), intraductal papilloma, lobular carcinoma in situ (LCIS), invasive lobular carcinoma (ILC), medullary carcinoma, inflammatory breast cancer, non-small cell lung cancer (NSCLC) and small cell lung cancer (SCLC). In another example, the disorder is liver cancer. In yet another example, the disorder is hepatocellular carcinoma (HCC) or hepatocellular adenoma (HCA).
Thus in example, there is disclosed a method of staging or characterising the identified disorder based on the subject matter disclosed herein. In one example, the method of determining the malignancy, grade, or staging of a cancer comprises obtaining a sample from a subject; detecting the level of O-glycosylation of one or more endoplasmic reticulum (ER)-resident proteins in the sample; comparing the level of O-glycosylation of one or more endoplasmic reticulum (ER)-resident proteins with the level of O-glycosylation of one or more endoplasmic reticulum (ER)-resident proteins in a group defined for each grade of cancer.
In another example, the cancer is benign or malignant. In another example, the cancer can be characterised by staging, for example, stage 0, stage 1, stage 2, stage 3 or stage 4. In a further example, the cancer is staged according to the Edmondson Grade.
As used herein, the term “Edmondson Grade”, also known as the Edmondson and Steiner grading system (ESGS), refers to a grading system for tumours based on histopathology of samples obtained from a subject. The grading definition according to the Edmondson grade is as follows: Grade I consists of small tumour cells, arranged in trabeculae, with abundant cytoplasm and minimal nuclear irregularity that are almost indistinguishable from normal liver tissue. Grade II tumours have prominent nucleoli, hyperchromatism, and some degree of nuclear irregularity. Grade III tumours show more pleomorphism than grade II, and have angulated nuclei. Grade IV has prominent pleomorphism and often anaplastic giant cells. A table of the histological features based on the Edmondson and Steiner grading system are provided below.
In addition, staging can be used, and is required, to determine how advanced the cancer is in a patient. One current method for cancer staging includes use of the TNM staging system, wherein T describes the size of the primary tumour and if the primary tumour has metastasised to nearby tissues; N describes if the lymph nodes contain the cancer cells; and M refers to the presence of metastasis to distant parts of the body. However, such method of cancer staging is somewhat inefficient as it is done by clinical or pathologic observations by clinicians or pathologists, wherein such observations are dependent on the quality of samples obtained during biopsies. Ambiguities can arise if the quality of the biopsy sample is poor, or when there is insufficient difference in prognosis between pathologic stages of the disease, resulting in inaccurate staging, which in turn can lead to insufficient therapy.
Detection and characterisation the diseases disclosed herein is performed on a sample. As used herein, the term “sample” refers to a specimen taken, obtained or derived from a subject. In one example, the sample is obtained from a subject. In another example, the sample is a biological sample. For example, the sample is, but is not limited to, biopsy of a subset of tissues, cells or component parts, or a fraction or portion thereof; whole blood or a component thereof (e.g. plasma, serum); urine, saliva lymph, bile fluid, sputum, tears, cerebrospinal fluid, bronchoalveolar lavage fluid, synovial fluid, semen, ascitic tumour fluid, breast milk, pus, amniotic fluid, buccal smear, cultured cells, culture medium collected from cultured cells, cell pellet, a lysate, homogenate or extract prepared from a whole organism or a subset of its tissues, cells, or component parts, or a fraction or portion thereof. In one example, the sample can be cells isolated from an organ from an organism, wherein the organ can be, but is not limited to, liver, brain, heart, spleen, kidney, bone, lymph nodes, muscles, blood vessels, bone marrow, pancreas, intestines, urinary bladder, or skin. In another example, the sample can be cells isolated from the joint from an organism, wherein the cells can be from, but is not limited to, cartilage, bone, muscle, ligament, tendon, connective tissue, or any combinations thereof.
As used herein, the term “subject” refers to an animal, preferably a mammal, which is the object of administration, treatment, observation or experiment. Mammal includes, but is not limited to, humans and both domestic animals such as laboratory animals and household pets, for example, but not limited to, cats, dogs, swine, cattle, sheep, goats, horses, rabbits, and non-domestic animals such as, but not limited to, wildlife, fowl, birds and the like. In one example, the mammal is a rodent, for example, but not limited to, mouse and rat. In yet another example, the mammal is a human.
The method disclosed herein is based on the so-called N-acetylgalactosamine (GalNAc)-T activation (GALA) pathway, which has been identified to be activated in disorders, such as, but not limited to, cancer.
As used herein, the terms “GALA”, “GalNAc-T activation pathway” or “GALA pathway” are used interchangeably throughout and refer to the process of relocation of polypeptide N-acetylgalactosaminyltransferases (GALNTs) from the Golgi to the endoplasmic reticulum. This results in an increase of O-glycosylation and Tn antigen levels in the endoplasmic reticulum, as well as overall increase in protein glycosylation.
As used herein, the term “O-glycosylation” refers to the post-translational modification process of attaching a mono-, or polysaccharide molecule, or a glycan, to an amino acid residue in a protein. This attachment is performed at an oxygen atom present in the amino acid to which the glycan is to be attached. In one example, O-linked glycans can be attached to the hydroxyl oxygen of, for example, serine, threonine, tyrosine, hydroxylysine, or hydroxyproline side-chains, or to oxygen atoms on lipids such as, but not limited to, ceramide phosphoglycans linked through the phosphate of a phosphoserine. The process of glycosylation usually takes place within the Golgi apparatus in eukaryotes, and can affect cell signalling pathways, thereby leading to changes in biological processes and functional changes in the cell. Thus, in one example, the method disclosed herein relies on the O-glycosylation of proteins in order to determine the presence or absence of a disease.
The enzymes involved in the process of glycosylation are usually referred to as glycosyltransferase, which are enzymes which establish glycosidic linkages. In other words, the glycosyltransferase attaches the saccharide molecule (also known as a “glycosyl donor”) to a (nucleophilic) glycosyl acceptor molecule, which is usually an oxygen-, carbon-, nitrogen- or sulphur-based molecule.
As used herein, the term “glycan” refers to refers to compounds consisting of a large number of monosaccharides linked glycosidically. That is to say that the monosaccharides are linked between the hemiacetal or the hemiketal group of one saccharide and the hydroxyl group of another compound.
The term “glycan”, as used herein, is used synonymously with the term polysaccharide. Glycans can be homo- or heteropolymers of monosaccharide residues, and can be linear or branched. In general, glycans are found on the exterior surface of cells, whereby O- and N-linked glycans are very common in eukaryotes. For example, glycans can comprise solely of O-glycosidic linkages of monosaccharides. In another example, the glycan is, but is not limited to, N-acetylgalactosamine (GalNAc), N-acetylglucosamine, fucose, glucose, xylose, galactose, mannose, or any combinations thereof. In one example, the glycan is an O-linked glycan.
In one example, where the glycosyl donor is N-acetyl-galactosamine, the enzyme which catalyses the linkage of N-acetyl-galactosamine to the glycosyl acceptor molecule is a polypeptide N-acetylgalactosaminyltransferase. In another example, the O-glycan O-GalNAc is formed when N-acetylgalactosamine (GalNAc) is bound to the hydroxyl group of serine or threonine in a protein, a reaction which is catalysed by GALNT.
As used herein, the terms “O-linked glycan” and “O-glycan” are used interchangeably throughout and refer to glycans that are attached to a protein through serine or threonine residues. In another example, the O-glycan is O—N-acetylgalactosamine (O-GalNAc) linked to serine or threonine in a protein. In another example, the O-glycan is Tn. As used herein, the term “Tn antigen” or “Tn” are used interchangeably throughout and refer to O-GalNAc.
As used herein, the term “N-acetylgalactosamine” or “GalNAc” are used interchangeably throughout, and refer to the monosaccharide that is involved in the O-glycosylation process. As mentioned above, for example, GalNAc is linked to a hydroxyl group of the amino acids serine or threonine in a protein during O-glycosylation by, for example, GALNTs, leading to the formation of O-linked N-acetylgalactosamine (O-GalNAc).
As used herein, the term “polypeptide N-acetylgalactosaminyltransferases” or “GALNTs” are used interchangeably throughout and refer to a glycosyltransferase enzyme that catalyses the transfer of a N-acetylgalactosamine to the hydroxyl group of the amino acids serine or threonine in a protein during O-glycosylation. In one example, the polypeptide N-acetylgalactosaminyltransferases (GALNTs) can be, but is not limited to, polypeptide N-acetylgalactosaminyltransferase 1 (GALNT 1), polypeptide N-acetylgalactosaminyltransferase 2 (GALNT 2), polypeptide N-acetylgalactosaminyltransferase 3 (GALNT 3), polypeptide N-acetylgalactosaminyltransferase 4 (GALNT 4), polypeptide N-acetylgalactosaminyltransferase 5 (GALNT 5), polypeptide N-acetylgalactosaminyltransferase 6 (GALNT 6), polypeptide N-acetylgalactosaminyltransferase 7 (GALNT 7), polypeptide N-acetylgalactosaminyltransferase 8 (GALNT 8), polypeptide N-acetylgalactosaminyltransferase 9 (GALNT 9), polypeptide N-acetylgalactosaminyltransferase 10 (GALNT 10), polypeptide N-acetylgalactosaminyltransferase 11 (GALNT 11), polypeptide N-acetylgalactosaminyltransferase 12 (GALNT 12), polypeptide N-acetylgalactosaminyltransferase 13 (GALNT 13), polypeptide N-acetylgalactosaminyltransferase 14 (GALNT 14), polypeptide N-acetylgalactosaminyltransferase 15 (GALNT 15), polypeptide N-acetylgalactosaminyltransferase 16 (GALNT 16), polypeptide N-acetylgalactosaminyltransferase 17 (GALNT 17), polypeptide N-acetylgalactosaminyltransferase 18 (GALNT 18), polypeptide N-acetylgalactosaminyltransferase like 5 (GALNTL5), polypeptide N-acetylgalactosaminyltransferase like 6 (GALNTL6), or any combinations thereof.
The term “protein”, “peptide” and “polypeptide”, as used herein, are used interchangeably throughout and refer to a molecule comprising two or more amino acid residues joined to each other by peptide bonds. A protein may also be just a fragment of a naturally occurring protein or peptide. A protein can be wild-type, mutated, recombinant, naturally occurring, or synthetic and may constitute all or part of a naturally-occurring, or non-naturally occurring polypeptide. A protein or peptide must contain at least two amino acids and no limitation is placed on the maximum number of amino acids which may comprise a protein's or peptide's sequence. In one example, the protein can be an enzyme. As used herein, the term “enzyme” is a protein that can catalyse a biochemical reaction. The reaction can be naturally occurring or non-naturally occurring. In another example, the protein can be modified by post-translational modifications.
As used herein, the term “post-translational modification” refers to chemical modification of proteins, wherein the chemical modification can be catalysed by an enzyme. For example, post-translational modification can be, but is not limited to O-glycosylation, N-glycosylation, acetylation, methylation, phosphorylation, ubiquitylation, sulfation, hydroxylation, amidation, or any combinations thereof.
In another example, the protein can be found in one or more cell compartments, for example, but not limited to, endoplasmic reticulum (ER), Golgi, cisternae, nucleus, cytoplasm, mitochondria, or any combinations thereof. In a further example, the protein can found in the endoplasmic reticulum. Such proteins are also known as an endoplasmic reticulum (ER)-resident proteins.
As used herein, the term “endoplasmic reticulum (ER)-resident protein” refers to a protein that is retained in the endoplasmic reticulum after protein folding, and is only present in the endoplasmic reticulum. The endoplasmic reticulum (ER)-resident protein disclosed herein can be found in the smooth endoplasmic reticulum and/or rough endoplasmic reticulum. In one example, the one or more endoplasmic reticulum (ER)-resident proteins are located in the lumen and/or membrane of the endoplasmic reticulum.
In order to prevent proteins from being secreted into the cell nucleus, proteins which are present in, for example, the endoplasmic reticulum have been shown to comprise a specific N-terminal or C-terminal signal sequence, thereby enabling the retention of the proteins having this signal sequence in the endoplasmic reticulum. In one example, the endoplasmic reticulum (ER)-resident protein comprises either a KDEL and/or KKXX peptide sequence. In another example, the KDEL and/or KKXX peptide sequence can be found at either the N-terminus or C-terminus of the protein. In another example, the subcellular distribution of a protein can be seen using imaging methods, for example immunofluorescent microscopy, thereby enabling the determination of whether a protein is an endoplasmic reticulum (ER)-resident protein.
According to the method disclosed herein, the endoplasmic reticulum-resident proteins are identified using known methods in the art. In another example, the endoplasmic reticulum (ER)-resident protein can be, but is not limited to, UDP-glucose ceramide glucosyltransferase-like 1 (UGGT1), chromosome 2 open reading frame 30 (ERLEC1), glycosyltransferase 25 domain containing 1 (COLGALT1/GLT25D1), hypothetical gene supported by AF216292; NM_005347; heat shock 70 kDa protein 5 (glucose-regulated protein, 78 kDa) (HSPA5/GRP78/Bip), low density lipoprotein receptor-related protein associated protein 1 (LRPAP1), osteosarcoma amplified 9 endoplasmic reticulum associated protein (OS9), prolyl 4-hydroxylase, alpha polypeptide I (P4HA1), prolyl 4-hydroxylase, beta polypeptide (P4HB), protein disulfide isomerase family A member 3 (PDIA3), protein disulfide isomerase family A member 4 (PDIA4), stromal cell-derived factor 2-like 1 (SDF2L1), sulfatase modifying factor 2 (SUMF2), thioredoxin domain containing 5 (endoplasmic reticulum); muted homolog (mouse) (TXNDC5), asparagine-linked glycosylation 9, alpha-1,2-mannosyltransferase homolog (S. cerevisiae) (ALG9), aspartate beta-hydroxylase (ASPH), calnexin (CANX), calsyntenin 1 (CLSTN1), cytoskeleton-associated protein 4 (CKAP4), emopamil binding protein (sterol isomerase) (EBP), gamma-glutamyl carboxylase (GGCX), inositol 1,4,5-triphosphate receptor type 2 (ITPR2), lectin, mannose-binding, 1 (LMAN1/ERGIC53), leprecan-like 1 (P3H2/LEPREL1), leucine proline-enriched proteoglycan (leprecan) 1 (P3H1/LEPRE1), mannosidase, alpha, class 1B, member 1 (MAN1B1), melanoma inhibitory activity family, member 3 (MIA3), mesoderm development candidate 2 (MESDC2), multiple coagulation factor deficiency 2 (MCFD2), nucleobindin 2 (NUCB2), prolyl 4-hydroxylase, transmembrane (endoplasmic reticulum) (P4HTM), prostaglandin F2 receptor negative regulator (PTGFRN), protein kinase C substrate 80K-H (PRKCSH), ribophorin I (RPN1), sel-1 suppressor of lin-12-like (C. elegans) (SEL1L), signal recognition particle receptor, B subunit (SRPRB), thioredoxin domain containing 11 (TXNDC11), tyrosylprotein sulfotransferase 2 (TPST2), and xylosyltransferase II (XYLT2). In one example, the one or more endoplasmic reticulum (ER)-resident proteins is, but is not limited to, protein disulfide isomerase family A member 4 (PDIA4), calnexin (CANX), protein disulfide isomerase family A member 3 (PDIA3), Endoplasmic Reticulum Lectin 1 (ERLEC1) and heat shock 70 kDa protein 5 (glucose-regulated protein, 78 kDa) (HSPA5/GRP78/Bip), or combinations thereof. In another example, the endoplasmic reticulum (ER)-resident protein is protein disulfide isomerase family A member 4 (PDIA4). In a further example, the endoplasmic reticulum (ER)-resident protein is calnexin (CANX). In yet another example, the endoplasmic reticulum (ER)-resident protein is protein disulfide isomerase family A member 3 (PDIA3). In another example, the endoplasmic reticulum (ER)-resident protein is Endoplasmic Reticulum Lectin 1 (ERLEC1). In one example, the endoplasmic reticulum (ER)-resident protein is heat shock 70 kDa protein 5 (glucose-regulated protein, 78 kDa) (HSPA5/GRP78/Bip).
In one example, the endoplasmic reticulum (ER)-resident proteins are any of the following combinations: protein disulfide isomerase family A member 4 (PDIA4) and calnexin (CANX); protein disulfide isomerase family A member 4 (PDIA4) and protein disulfide isomerase family A member 3 (PDIA3); protein disulfide isomerase family A member 4 (PDIA4) and Endoplasmic Reticulum Lectin 1 (ERLEC1); protein disulfide isomerase family A member 4 (PDIA4) and heat shock 70 kDa protein 5 (glucose-regulated protein, 78 kDa) (HSPA5/GRP78/Bip); calnexin (CANX) and protein disulfide isomerase family A member 3 (PDIA3); calnexin (CANX) and Endoplasmic Reticulum Lectin 1 (ERLEC1); calnexin (CANX) and heat shock 70 kDa protein 5 (glucose-regulated protein, 78 kDa) (HSPA5/GRP78/Bip); protein disulfide isomerase family A member 3 (PDIA3) and Endoplasmic Reticulum Lectin 1 (ERLEC1); protein disulfide isomerase family A member 3 (PDIA3) and heat shock 70 kDa protein 5 (glucose-regulated protein, 78 kDa) (HSPA5/GRP78/Bip); or Endoplasmic Reticulum Lectin 1 (ERLEC1) and heat shock 70 kDa protein 5 (glucose-regulated protein, 78 kDa) (HSPA5/GRP78/Bip).
In another example, the endoplasmic reticulum (ER)-resident proteins are any of the following combinations: protein disulfide isomerase family A member 4 (PDIA4), calnexin (CANX) and protein disulfide isomerase family A member 3 (PDIA3); protein disulfide isomerase family A member 4 (PDIA4), calnexin (CANX) and Endoplasmic Reticulum Lectin 1 (ERLEC1); protein disulfide isomerase family A member 4 (PDIA4), calnexin (CANX), and heat shock 70 kDa protein 5 (glucose-regulated protein, 78 kDa) (HSPA5/GRP78/Bip); protein disulfide isomerase family A member 4 (PDIA4), protein disulfide isomerase family A member 3 (PDIA3), and Endoplasmic Reticulum Lectin 1 (ERLEC1); protein disulfide isomerase family A member 4 (PDIA4), protein disulfide isomerase family A member 3 (PDIA3), and heat shock 70 kDa protein 5 (glucose-regulated protein, 78 kDa) (HSPA5/GRP78/Bip); protein disulfide isomerase family A member 4 (PDIA4), protein disulfide isomerase family A member 3 (PDIA3), and Endoplasmic Reticulum Lectin 1 (ERLEC1); protein disulfide isomerase family A member 4 (PDIA4), protein disulfide isomerase family A member 3 (PDIA3), and heat shock 70 kDa protein 5 (glucose-regulated protein, 78 kDa) (HSPA5/GRP78/Bip); protein disulfide isomerase family A member 4 (PDIA4), Endoplasmic Reticulum Lectin 1 (ERLEC1), and heat shock 70 kDa protein 5 (glucose-regulated protein, 78 kDa) (HSPA5/GRP78/Bip); calnexin (CANX), protein disulfide isomerase family A member 3 (PDIA3) and Endoplasmic Reticulum Lectin 1 (ERLEC1); calnexin (CANX), Endoplasmic Reticulum Lectin 1 (ERLEC1) and heat shock 70 kDa protein 5 (glucose-regulated protein, 78 kDa) (HSPA5/GRP78/Bip); calnexin (CANX), protein disulfide isomerase family A member 3 (PDIA3) and heat shock 70 kDa protein 5 (glucose-regulated protein, 78 kDa) (HSPA5/GRP78/Bip); or protein disulfide isomerase family A member 3 (PDIA3), Endoplasmic Reticulum Lectin 1 (ERLEC1) and heat shock 70 kDa protein 5 (glucose-regulated protein, 78 kDa) (HSPA5/GRP78/Bip).
In a further example, the endoplasmic reticulum (ER)-resident proteins are any of the following combinations: protein disulfide isomerase family A member 4 (PDIA4), calnexin (CANX), protein disulfide isomerase family A member 3 (PDIA3), and Endoplasmic Reticulum Lectin 1 (ERLEC1); calnexin (CANX), protein disulfide isomerase family A member 3 (PDIA3), Endoplasmic Reticulum Lectin 1 (ERLEC1) and heat shock 70 kDa protein 5 (glucose-regulated protein, 78 kDa) (HSPA5/GRP78/Bip); protein disulfide isomerase family A member 4 (PDIA4), protein disulfide isomerase family A member 3 (PDIA3), Endoplasmic Reticulum Lectin 1 (ERLEC1) and heat shock 70 kDa protein 5 (glucose-regulated protein, 78 kDa) (HSPA5/GRP78/Bip); protein disulfide isomerase family A member 4 (PDIA4), calnexin (CANX), Endoplasmic Reticulum Lectin 1 (ERLEC1) and heat shock 70 kDa protein 5 (glucose-regulated protein, 78 kDa) (HSPA5/GRP78/Bip); or protein disulfide isomerase family A member 4 (PDIA4), calnexin (CANX), protein disulfide isomerase family A member 3 (PDIA3), and heat shock 70 kDa protein 5 (glucose-regulated protein, 78 kDa) (HSPA5/GRP78/Bip).
As used herein, the term “biomarker” refers to molecular indicators of a specific biological property, a biochemical feature or facet that can be used to determine the presence or absence and/or severity of a particular disease or condition. In the present disclosure, the term “biomarker” refers to a protein, a fragment or variant of such a protein being associated to a disorder. In one example, the biomarker can be a gene involved in the GALA pathway. In another example, the biomarker is an O-glycosylated protein. In another example, the biomarker is an O-glycosylated ER-resident protein as disclosed herein.
In one example, it is envisaged that the biomarkers as disclosed herein are capable of detecting or diagnosing or predicting the likelihood of a patient or subject having a disorder. Accordingly, the biomarkers as disclosed herein can be incorporated in methods of detecting, methods of determining the risk, methods of prognosis for staging, diagnostic kits to determine the likelihood of a patient or subject having a disorder or prognostic kits to determine the stage of the disorder of a patient or a subject.
In one example, there is provided a method to detect the presence or absence of a disorder.
In one example, the method to detect the presence or absence of a disorder comprises the steps of a. obtaining a sample from a subject; b. detecting the level of one or more biomarkers in a sample obtained in step a.; c. comparing the level of one or more biomarkers in step b. with the level of one or more biomarkers in a control group.
The method of the present disclosure comprises the steps of a. obtaining a sample from a subject; b. detecting the level of O-glycosylation of one or more endoplasmic reticulum (ER)-resident proteins in the sample obtained in step a.; c. comparing the level of O-glycosylation of one or more endoplasmic reticulum (ER)-resident proteins in step b. with the level of O-glycosylation of one or more endoplasmic reticulum (ER)-resident proteins in a control group.
In another example, there is disclosed a method to determine the risk of a subject developing a disorder. In another example, the method further comprises the steps of obtaining a sample from a subject; detecting the level of one or more biomarkers in the sample; and comparing the level of one or more biomarkers with the level of the same biomarkers in a control group.
In one example, the method to determine the risk of a subject developing a disorder comprises the steps of the steps of a. obtaining a sample from a subject; b. detecting the level of O-glycosylation of one or more endoplasmic reticulum (ER)-resident proteins in the sample obtained in step a.; c. comparing the level of O-glycosylation of one or more endoplasmic reticulum (ER)-resident proteins in step b. with the level of O-glycosylation of one or more endoplasmic reticulum (ER)-resident proteins in a control group.
In order to detect the level of one or more biomarkers in a sample, conventional methods can be employed, including, but not limited to, methods for capturing and/or detecting one or more biomarkers in a sample. For example, methods to capture the one or more biomarkers in a sample include, but not limited to, affinity purification, immunoprecipitation, co-immunoprecipitation, chromatin immunoprecipitation, ribonucleoproteins immunoprecipitation, or any combinations thereof, have been used to precipitate proteins and protein complexes. Methods to detect the one or more biomarkers in a sample can include, but is not limited to, immunohistochemistry (IHC), immunodetection assays, fluorescence assays, immunostaining, colorimetric protein assays, or any combinations thereof.
In another example, the detection of the level of one or more biomarkers in a sample optionally comprises a step of contacting a sample with a monosaccharide-binding protein.
In another example, the detection of the level of O-glycosylation of one or more endoplasmic reticulum (ER)-resident proteins optionally comprises a step of contacting a sample with a monosaccharide-binding protein.
In one example, the monosaccharide-binding protein can be free-floating or can be immobilised to a solid surface. In another example, the monosaccharide-binding protein can be, but is not limited to, N-acetylgalactosamine binding protein, mannose binding protein, galactose binding protein, N-acetylglucosamine binding protein, N-acetylneuraminic acid binding protein or fucose binding protein. In another example, the monosaccharide-binding protein is a lectin. In another example, the monosaccharide-binding protein is N-acetylgalactosamine binding protein.
Examples of N-acetylgalactosamine binding protein include, but are not limited to, Vicia villosa lectin (VVL), Helix pomatia lectin A (HPL), Datura stramonium Lectin (DSL), ricin (RCA), peanut agglutinin (PNA) and jacalin (AIL). In another example, the N-acetylgalactosamine binding protein is either Vicia villosa lectin (VVL) or Helix pomatia lectin A (HPL).
Comparison between the diseased and disease-free samples is made based on the differences in the levels of the biomarkers in the sample obtained from a subject and the levels of the same biomarkers in the control group. Based on this comparison, the presence or the absence of a disease can be determined based on the presence or absence of the biomarkers. In one example, the presence of the biomarker indicates the presence of the disease. In another example, the absence of the biomarker indicates the disease.
Another comparison can also be made between the levels of the biomarkers in the sample obtained from a subject and the levels of the same biomarkers in the control group based on the differential expression of the biomarker. In one example, the up-regulation of the biomarker indicates the presence of a disease. In another example, the down-regulation indicates the presence of a disease. In a further example, the up-regulation of the biomarker indicates the absence of a disease. In yet another example, the down-regulation of a biomarker indicates the absence of a disease. In another example, a decrease in the level of the biomarker is indicative of the presence of a disorder. It will also be appreciated that during the activation of the GALA pathway, polypeptide N-acetylgalactosaminyltransferases (GALNTs) can be seen to relocate into the endoplasmic reticulum (ER). Without being bound by theory, it is thought that this subcellular relocation of the GALNT enzymes leads to an increased level of O-glycosylation of proteins in the endoplasmic reticulum (ER), for example, but not limited to, endoplasmic reticulum (ER)-resident protein. Therefore, in another example, an increase in the level of O-glycosylation of one or more endoplasmic reticulum (ER)-resident proteins is indicative of the presence of a disorder.
Quantitative comparisons using fold changes in the levels of the biomarkers in the sample when compared to the levels of the biomarkers in the control group can be used to determine the risk of a subject developing a disorder and indicate that the subject is suffering from a disorder. In one example, fold change increase in the levels of the biomarkers in the sample is indicative that the subject is suffering from a disorder. In one example, the increase can be, but is not limited to, about 1.5 fold, about 2-fold, about 2.5-fold, about 3-fold, about 3.5-fold, about 4-fold, about 4.5-fold, about 5-fold, about 5.5-fold, about 6-fold, about 6.5-fold, about 7-fold, about 7.5-fold, about 8-fold, about 8.5-fold, about 9-fold, about 9.5-fold, about 10-fold, about 10.5-fold, about 11-fold, about 11.5-fold, about 12-fold, about 12.5-fold, about 13-fold, about 13.5-fold, about 14-fold, about 14.5-fold, about 15-fold, about 15.5 fold, about 16-fold, about 16.5-fold, about 17-fold, about 17.5-fold, about 18-fold, about 18.5-fold, about 19-fold, about 19.5-fold, or about 20-fold to be indicative that the subject is suffering from a disorder. In another example, the increase can be about 1.5-fold to about 20-fold. In another example, the increase can be, but is not limited to, about 1.5-fold to about 2.3-fold, about 2.0-fold to about 2.8-fold, about 2.5-fold to about 3.3-fold, about 3.0-fold to about 3.8-fold, about 3.5-fold to about 4.3-fold, about 4.0-fold to about 4.8-fold, about 4.5-fold to about 5.3-fold, about 5.0-fold to about 5.8-fold, about 5.5-fold to about 6.3-fold, about 6.0-fold to about 6.8-fold, about 6.5-fold to about 7.3-fold, about 7.0-fold to about 7.8-fold, about 7.5-fold to about 8.3-fold, about 8.0-fold to about 8.8-fold, about 8.5-fold to about 9.3-fold, about 9.0-fold to about 9.8-fold, about 9.5-fold to about 10.3-fold, about 10.0-fold to about 10.8-fold, about 10.5-fold to about 11.3-fold, about 11.0-fold to about 11.8-fold, about 11.5-fold to about 12.3-fold, about 12.0-fold to about 12.8-fold, about 12.5-fold to about 13.3-fold, about 13.0-fold to about 13.8-fold, about 13.5-fold to about 14.3-fold, about 14.0-fold to about 14.8-fold, about 14.5-fold to about 15.3-fold, about 15.0-fold to about 15.8-fold, about 15.5-fold to about 16.3-fold, about 16.0-fold to about 16.8-fold, about 16.5-fold to about 17.3-fold, about 17.0-fold to about 17.8-fold, about 17.5-fold to about 18.3-fold, about 18.0-fold to about 18.8-fold, about 18.5-fold to about 19.3-fold, about 19.0-fold to about 19.8-fold, about 19.5-fold to about-20 fold, to be indicative that the subject is suffering from a disorder. In another example, the increase can be, but is not limited to, at least about 1.5 fold, at least about 2-fold, at least about 2.5-fold, at least about 3-fold, at least about 3.5-fold, at least about 4-fold, at least about 4.5-fold, at least about 5-fold, at least about 5.5-fold, at least about 6-fold, at least about 6.5-fold, at least about 7-fold, at least about 7.5-fold, at least about 8-fold, at least about 8.5-fold, at least about 9-fold, at least about 9.5-fold, at least about 10-fold, at least about 10.5-fold, at least about 11-fold, at least about 11.5-fold, at least about 12-fold, at least about 12.5-fold, at least about 13-fold, at least about 13.5-fold, at least about 14-fold, at least about 14.5-fold, at least about 15-fold, at least about 15.5 fold, at least about 16-fold, at least about 16.5-fold, at least about 17-fold, at least about 17.5-fold, at least about 18-fold, at least about 18.5-fold, at least about 19-fold, at least about 19.5-fold, or at least about 20-fold to be indicative that the subject is suffering from a disorder. In another example, the increase in the level of O-glycosylation of one or more endoplasmic reticulum (ER)-resident proteins present in the sample is between 2-fold to 20-fold. In yet another example, the increase in the level of O-glycosylation of one or more endoplasmic reticulum (ER)-resident proteins present in the sample is at least 4-fold to be indicative that the subject is suffering from a disorder.
In one example, fold change decrease in the levels of the biomarkers in the sample is indicative that the subject is suffering from a disorder. In one example, the decrease can be, but is not limited to, about 1.5 fold, about 2-fold, about 2.5-fold, about 3-fold, about 3.5-fold, about 4-fold, about 4.5-fold, about 5-fold, about 5.5-fold, about 6-fold, about 6.5-fold, about 7-fold, about 7.5-fold, about 8-fold, about 8.5-fold, about 9-fold, about 9.5-fold, about 10-fold, about 10.5-fold, about 11-fold, about 11.5-fold, about 12-fold, about 12.5-fold, about 13-fold, about 13.5-fold, about 14-fold, about 14.5-fold, about 15-fold, about 15.5 fold, about 16-fold, about 16.5-fold, about 17-fold, about 17.5-fold, about 18-fold, about 18.5-fold, about 19-fold, about 19.5-fold, or about 20-fold to be indicative that the subject is suffering from a disorder. In another example, the decrease can be about 1.5-fold to about 20-fold. In another example, the decrease can be, but is not limited to, about 1.5-fold to about 2.3-fold, about 2.0-fold to about 2.8-fold, about 2.5-fold to about 3.3-fold, about 3.0-fold to about 3.8-fold, about 3.5-fold to about 4.3-fold, about 4.0-fold to about 4.8-fold, about 4.5-fold to about 5.3-fold, about 5.0-fold to about 5.8-fold, about 5.5-fold to about 6.3-fold, about 6.0-fold to about 6.8-fold, about 6.5-fold to about 7.3-fold, about 7.0-fold to about 7.8-fold, about 7.5-fold to about 8.3-fold, about 8.0-fold to about 8.8-fold, about 8.5-fold to about 9.3-fold, about 9.0-fold to about 9.8-fold, about 9.5-fold to about 10.3-fold, about 10.0-fold to about 10.8-fold, about 10.5-fold to about 11.3-fold, about 11.0-fold to about 11.8-fold, about 11.5-fold to about 12.3-fold, about 12.0-fold to about 12.8-fold, about 12.5-fold to about 13.3-fold, about 13.0-fold to about 13.8-fold, about 13.5-fold to about 14.3-fold, about 14.0-fold to about 14.8-fold, about 14.5-fold to about 15.3-fold, about 15.0-fold to about 15.8-fold, about 15.5-fold to about 16.3-fold, about 16.0-fold to about 16.8-fold, about 16.5-fold to about 17.3-fold, about 17.0-fold to about 17.8-fold, about 17.5-fold to about 18.3-fold, about 18.0-fold to about 18.8-fold, about 18.5-fold to about 19.3-fold, about 19.0-fold to about 19.8-fold, about 19.5-fold to about-20 fold, to be indicative that the subject is suffering from a disorder. In another example, the decrease can be, but is not limited to, at least about 1.5 fold, at least about 2-fold, at least about 2.5-fold, at least about 3-fold, at least about 3.5-fold, at least about 4-fold, at least about 4.5-fold, at least about 5-fold, at least about 5.5-fold, at least about 6-fold, at least about 6.5-fold, at least about 7-fold, at least about 7.5-fold, at least about 8-fold, at least about 8.5-fold, at least about 9-fold, at least about 9.5-fold, at least about 10-fold, at least about 10.5-fold, at least about 11-fold, at least about 11.5-fold, at least about 12-fold, at least about 12.5-fold, at least about 13-fold, at least about 13.5-fold, at least about 14-fold, at least about 14.5-fold, at least about 15-fold, at least about 15.5 fold, at least about 16-fold, at least about 16.5-fold, at least about 17-fold, at least about 17.5-fold, at least about 18-fold, at least about 18.5-fold, at least about 19-fold, at least about 19.5-fold, or at least about 20-fold to be indicative that the subject is suffering from a disorder.
As used herein, the term “control group” refers to a sample that does not have the disorder. In one example, the control group can be a sample obtained from a healthy volunteer or disease-free subject. As used herein, the term “disease-free” refers to being void of the undesirable condition or syndrome, wherein a subject and/or a sample can be referred to as being disease-free. Thus, in one example, the levels of a marker in a sample are compared to the levels of the same markers in a control group. In another example, the control group is a disease-free group. In another example, the control group can be a sample obtained from a subject free of cancer. In another example, the control group can be a sample obtained from a subject free of, but is not limited to, liver cancer, breast cancer, lung cancer, hepatocellular carcinoma (HCC), hepatocellular adenoma (HCA), fibrolamellar hepatocellular carcinoma (FHCC), hepatoblastoma, focal nodular hyperplasia (FNH), nodular regenerative hyperplasia, ductal carcinoma in situ (DCIS), Paget's disease of the breast, comedocarcinoma, invasive ductal carcinoma (IDC), intraductal papilloma, lobular carcinoma in situ (LCIS), invasive lobular carcinoma (ILC), medullary carcinoma, inflammatory breast cancer, non-small cell lung cancer (NSCLC) and small cell lung cancer (SCLC). In yet another example, the disease-free sample can be a non-tumour match obtained from a subject suffering from a disorder.
As used herein, the terms “non-tumour” and “non-tumour match” refer to a sample that is free of the disorder obtained from a subject suffering from a disorder. For example, a non-tumour match can be, but is not limited to, the normal tissues or cells that are found around or near the cancer cells within the same organ. In yet another example, the control group can be a non-tumour match obtained from a subject suffering from cancer. In yet another example, the control group can be a non-tumour match obtained from a subject suffering from, but is not limited to, liver cancer, breast cancer, lung cancer, hepatocellular carcinoma (HCC), hepatocellular adenoma (HCA), fibrolamellar hepatocellular carcinoma (FHCC), hepatoblastoma, focal nodular hyperplasia (FNH), nodular regenerative hyperplasia, ductal carcinoma in situ (DCIS), Paget's disease of the breast, comedocarcinoma, invasive ductal carcinoma (IDC), intraductal papilloma, lobular carcinoma in situ (LCIS), invasive lobular carcinoma (ILC), medullary carcinoma, inflammatory breast cancer, non-small cell lung cancer (NSCLC) and small cell lung cancer (SCLC).
In one example, the detection and/or comparison can be made using one or more biomarkers. In another example, the detection and/or comparison can be made using, but is not limited to, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37 or 38 biomarkers. In one example, the detection and/or comparison can be made using the level of O-glycosylation of, but is not limited to, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37 or 38 of the O-glycosylated endoplasmic reticulum (ER)-resident proteins in a sample.
In one example, the detection and/or comparison can be made using the level of, but is not limited to, 1, 2, 3, 4, 5, 6, or 7 of the polypeptide N-acetylgalactosaminyltransferases (GALNTs) in a sample.
Also disclosed herein is a kit comprising the biomarkers and components needed in order to perform the methods as described herein. In one example, the kit comprises a monosaccharide-binding protein capable of binding to one or more biomarkers.
In one example, the kit comprises a binding protein capable of binding to one or more biomarkers, wherein the binding protein is free-floating or is immobilised to a solid surface. In one example, the binding protein is an antibody or a conjugated antibody. In another example, the binding protein comprises one or more tags at the 5′ or 3′ end of said protein. Such tags can be used to, for example, detect or isolate and purify the attached molecules. Thus, a person skilled in the art would know and be able to use similar tags to attain the result provided above. These tags can be, but are not limited to, biotin, streptavidin, phosphate, histidine FLAG, triple FLAG tag (3×FLAG), HA, MYC, and fluorescent tags, such as green fluorescent protein, and multiples or combinations thereof.
In another example, the kit comprises a detection agent. In one example, the detection agent is capable of binding to one or more biomarkers. In one example, the detection agent is capable of binding to the monosaccharide-binding protein and/or the one or more O-glycosylated endoplasmic reticulum (ER)-resident proteins. In one example, the detection agent can be, but is not limited to, an enzyme-conjugated antibody, enzyme, or antibody that can produce and/or intensify a reaction. In one example, the enzyme can be horseradish peroxidase (HRP).
In another example, the kit comprises one or more standards. In one example, the kit comprises, but is not limited to, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37 or 38 standards.
As used herein, the term “standard” refers to a reference or a sample which is taken to be of a known value. In other words, the standard in an experiment is something which is used as a measure, norm, or model in comparative evaluations. For example, a positive control can be considered to be a standard. In another example, the standard can be the unmutated or wild-type form of a target (for example, a protein, a nucleic acid molecule and the like). In other examples, the term “standard” can also be used to refer to a protein ladder or a molecular weight reference used in gel electrophoresis to define substrate molecular weight. In yet another example, the term standard in the context of gene expression refers to the expression of a target gene in its unmodified environment. This unmodified environment can refer to, but is not limited to, the expression of the target gene in a disease-free subject. The standard can also be a representative value for gene expression of a specific gene obtained from a control group.
In one example, the standard in the kit as disclosed herein a biomarker as disclosed herein. In one example, the standard is a O-glycosylated endoplasmic reticulum (ER)-resident protein. In one example, the standards in the kit comprise one or more of the O-glycosylated endoplasmic reticulum (ER)-resident proteins as disclosed herein. In another example, the standards in the kit comprise, but is not limited to, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37 or 38 of the O-glycosylated endoplasmic reticulum (ER)-resident proteins. In another example, the standards in the kit comprise any one of the O-glycosylated endoplasmic reticulum (ER)-resident proteins as disclosed herein. In another example, the standards in the kit can be, but are not limited to of protein disulfide isomerase family A member 4 (PDIA4), calnexin (CANX), protein disulfide isomerase family A member 3 (PDIA3), Endoplasmic Reticulum Lectin 1 (ERLEC1) and heat shock 70 kDa protein 5 (glucose-regulated protein, 78 kDa) (HSPA5/GRP78/Bip) and combinations thereof, as disclosed herein.
The kit can be used to qualitatively assess or quantitatively measure the presence, amount, or functional activity of a target. In one example, the kit is used to determine the level of the one or more O-glycosylated endoplasmic reticulum (ER)-resident proteins in a sample according to the methods as disclosed herein; and/or compare the level of the one or more O-glycosylated endoplasmic reticulum (ER)-resident proteins according to the method as disclosed herein to a baseline level provided by the standard.
The kit can be an analytical tool. In one example, the kit can be an analytical biochemistry assay. In another example, the kit is an enzyme-linked immunosorbent assay (ELISA).
In one example, the kit is an ELISA kit that comprises a microwell plate; a sample diluent; a wash buffer; a substrate solution that can be detected using the detection agent; and a stop solution that can react with the substrate solution and allow visualisation.
As person skilled in the art would appreciate, the components of the kit or the kit can be adapted to use in accordance with the method as disclosed herein. The components of the kit or the kit be configured to be mixed as required by the methods disclosed herein. For example, the components disclosed herein can be mixed accordingly in a reaction vessel in order to obtain the information required according to the method disclosed herein. For example, in relation to an ELISA kit, a person skilled in the art would appreciate that an ELISA kit requires binding to the target analyte or biomarker or marker to the reaction vessel, detection of the marker with the required substrates, washing the reaction vessel and then subsequently detecting the presence, absence or level of the marker using a detection substrate.
The invention illustratively described herein may suitably be practiced in the absence of any element or elements, limitation or limitations, not specifically disclosed herein. Thus, for example, the terms “comprising”, “including”, “containing”, etc. shall be read expansively and without limitation. Additionally, the terms and expressions employed herein have been used as terms of description and not of limitation, and there is no intention in the use of such terms and expressions of excluding any equivalents of the features shown and described or portions thereof, but it is recognized that various modifications are possible within the scope of the invention claimed. Thus, it should be understood that although the present invention has been specifically disclosed by preferred embodiments and optional features, modification and variation of the inventions embodied therein herein disclosed may be resorted to by those skilled in the art, and that such modifications and variations are considered to be within the scope of this invention.
As used in this application, the singular form “a,” “an,” and “the” include plural references unless the context clearly dictates otherwise. For example, the term “a genetic marker” includes a plurality of genetic markers, including mixtures and combinations thereof.
As used herein, the term “about”, in the context of concentrations of components of the formulations, typically means+/−5% of the stated value, more typically +/−4% of the stated value, more typically +/−3% of the stated value, more typically, +/−2% of the stated value, even more typically +/−1% of the stated value, and even more typically +/−0.5% of the stated value.
Throughout this disclosure, certain embodiments may be disclosed in a range format. It should be understood that the description in range format is merely for convenience and brevity and should not be construed as an inflexible limitation on the scope of the disclosed ranges. Accordingly, the description of a range should be considered to have specifically disclosed all the possible sub-ranges as well as individual numerical values within that range. For example, description of a range such as from 1 to 6 should be considered to have specifically disclosed sub-ranges such as from 1 to 3, from 1 to 4, from 1 to 5, from 2 to 4, from 2 to 6, from 3 to 6 etc., as well as individual numbers within that range, for example, 1, 2, 3, 4, 5, and 6. This applies regardless of the breadth of the range.
Certain embodiments may also be described broadly and generically herein. Each of the narrower species and sub-generic groupings falling within the generic disclosure also form part of the disclosure. This includes the generic description of the embodiments with a proviso or negative limitation removing any subject matter from the genus, regardless of whether or not the excised material is specifically recited herein.
The invention has been described broadly and generically herein. Each of the narrower species and sub-generic groupings falling within the generic disclosure also form part of the invention. This includes the generic description of the invention with a proviso or negative limitation removing any subject matter from the genus, regardless of whether or not the excised material is specifically recited herein.
Other embodiments are within the following claims and non-limiting examples. In addition, where features or aspects of the invention are described in terms of Markush groups, those skilled in the art will recognize that the invention is also thereby described in terms of any individual member or subgroup of members of the Markush group.
To quantify Tn levels in human liver cancer, 160 biopsies were stained with Vicia villosa lectin (VVL) (
Next, liver tumours were induced in mice using hydrodynamic injection of plasmids encoding for Sleeping Beauty transposase and NRas-G12V and anti-p53 shRNA (shp53) (
On high-magnification immunofluorescence images of human and mouse samples, cells with low levels of staining were observed to show positive Tn expression in the small peri-nuclear structures consistent with the Golgi (
Protein disulfide isomerase 4A (PDIA4) has been proposed to be a GALNT substrate, and because it is an ER-resident protein, its level of glycosylation is expected to be low in normal conditions but elevated upon GALA. Using immunoprecipitation of N-acetylgalactosamine (GalNAc)-modified proteins, PDIA4 glycosylation was observed to be very low in normal liver samples but increases in early tumours and is markedly increased in late-stage tumours (
Together, these results establish that GALNTs are relocated to the ER in liver tumours, and suggest that GALA drives the observed increase in Tn levels.
To explore which GALNTs are involved in hepatocellular carcinoma (HCC), the expression levels of all family members in paired normal (N) and diseased (T) samples from 22 patients with hepatocellular carcinoma (HCC) were analysed (
To directly test the effect of ER relocation of GALNT1, a chimeric form of the enzyme that is constitutively targeted to the ER was generated. In the tumour induction system, mice were injected with plasmids encoding GFP or GFP-tagged forms of wild-type Galnt1 (Golgi-G1), ER-localized Galnt1 (ER-G1), or ER-G1 catalytically inactive (ER-G1ΔCat) (
At 6 weeks post injection (wpi), about 40% of ER-G1 mice were dying, whereas no mortality was observed in controls. At this stage, 9 mice were sacrificed from each group for assessment. Striking differences were noted in the livers, with 5-fold more nodules and larger tumours in the ER-G1 group (
ER-G1 Promotes Tumour Growth from an Early Stage
To explore how ER-G1 stimulates tumour growth, it was investigated when its effects become detectable. Transfected liver cells were observed to be clearly detectable by GFP and mCherry labelling as early as 3 days post-injection (dpi), with a consistent number of transfected cells among the mice for all conditions (
Unlike in the other conditions, ER-G1-transfected cells were strongly labelled with Vicia villosa lectin (VVL), indicating that expression of the construct reproduced the high Tn levels observed in advanced natural tumours (
ER-G1 Expression does not Induce Tumour Formation Nor does it Promote Proliferation In Vitro
To test if ER-G1 functions as an oncogene like NRas-G12V, 6 mice were injected with ER-G1 and shp53 along with a control group (NRas/shp53). Histological analysis confirmed that a similar proportion of cells were transfected in both conditions. However, the ER-G1/shp53 mice did not experience any lethality, unlike the mice in the NRas/shp53 group (
To test if ER-G1 promotes proliferation in vitro, a series of stable cell lines expressing GFP, Golgi-G1, or ER-G1 in hepatocellular carcinoma (HCC)-derived HepG2 cells were derived. The subcellular localization of the constructs was verified, and in particular that ER-G1 co-localizes with the ER marker Calnexin (
Average doubling time was observed to be similar for all cell lines and revolved around 24 hours (
Based on tumour morphology, ER-G1 was hypothesised to stimulate tumour growth by facilitating tissue remodelling and invasion. Consistently, in ER-G1-injected mice that died at 16 weeks post injection (wpi), metastases were observed in various organs, particularly in the lungs (
Circulating tumour cells (CTCs) reveal a high capacity of cancer to escape the primary environment. Significant levels of CTCs were found in 3/4 ER-G1 mice at the time of sacrifice, but none detectable in the control mice at the same stage (
Results to this point suggested that ER-G1 tumour cells were more effective at invading surrounding tissues and breaking free from their tissue of origin, which is often dependent on the capacity to cleave ECM components and thus express matrix proteases. Consistently, 5/5 ER-G1 tumour lysates displayed significantly higher levels of matrix metalloproteinases (MMP) activity than normal liver and 4/5 higher than early-stage control tumours (
Whereas cancer cells tend to have higher matrix metalloproteinases (MMP) activity in general, studies have suggested that macrophages or cancer-associated fibroblasts play a key role in matrix degradation. To test if ER-G1 could stimulate matrix degradation in a cell-autonomous fashion, matrix metalloproteinases (MMP) activity was tested in stable HepG2 cell lines. ER-G1 cells displayed higher matrix metalloproteinases (MMP) activity (
Numerous studies point to the membrane-tethered membrane type 1 matrix metalloproteinase (MT1-MMP, alias matrix metalloproteinase-14 (MMP14)) as a key enzyme for localized ECM breakdown. To test the importance of matrix metalloproteinase-14 (MMP14), two different small interfering ribonucleic acid (siRNA) pools were selected for their ability to deplete the protein (
Next, matrix metalloproteinase-14 (MMP14) was overexpressed in the HepG2 cell lines. These cell lines rapidly digested a gelatin film. Native collagen, in a triple helix form, is more resistant to proteolysis than the denatured collagen found in gelatin. When a layer of collagen I was added on top of the gelatin, degradation was slower, and the MMP14-transfected ER-G1 cells (ER-G1+MMP14 WT) were significantly more active than the MMP14-transfected control cells (GFP+MMP14 WT) (
matrix metalloproteinase-14 (MMP14) is known to be O-glycosylated on five residues located in the hinge domain between residues T291 and S304, with glycosylation of S304 still debated (
Another way to evaluate glycosylation levels is to use metabolic labeling of O-glycans with an azide-modified analog of N-acetylgalactosamine (GalNAc), called GalNAz. Once incorporated into glycoproteins, the residue can be modified by click chemistry and conjugated to a FLAG peptide. It was observed that GalNAz incorporation was increased by 3.5-fold in ER-G1-expressing HepG2 cell lines compared with GFP cells (
Finally, extended O-glycans can be detected in part with lectins, such as peanut agglutinin (PNA) and Datura stramonium Lectin (DSL) (
Overall, these approaches indicate that localization of GALNT1 in the ER leads to an increase in glycosylation of matrix metalloproteinase-14 (MMP14) between 2.5- and 8-fold depending on the technique used.
To verify that increased glycosylation of matrix metalloproteinase-14 (MMP14) occurs on the residues previously identified, three mutant forms of matrix metalloproteinase-14 (MMP14) were generated: a single-point mutant, T291A; a mutant bearing four alanine substitutions, T299A-T300A-S301A-S304A (T(4)A); and one bearing five alanine substitutions, T291A-T299A-T300A-S301A-S304A (T(5)A). These glycosylation mutants displayed an expected reduction in lectin binding (
Glycosylation in the hinge region has been proposed to affect matrix metalloproteinase-14 (MMP14) maturation and stability. However, the mutants did not display massive changes in matrix metalloproteinase-14 (MMP14) expression levels (
Matrix metalloproteinase-14 (MMP14) is known to self-cleave, generating a 44-kDa form. In contrast with a catalytically inactive form of matrix metalloproteinase-14 (MMP14) (MMP14-E240A), the glycosylation mutants displayed this short form, indicating activity in self-proteolysis, consistent with previous reports (
Cell-surface exposure of endogenous matrix metalloproteinase-14 (MMP14) was measured in the three HepG2 cell lines by quantitative immunofluorescence using non-permeabilized cells (
Matrix Metalloproteinase-14 (MMP14) Glycosylation Promotes Tumour Growth from an Early Stage
To test what role matrix metalloproteinase-14 (MMP14) plays in ER-G1-induced tumour growth, an shRNA against matrix metalloproteinase-14 (MMP14) (shMMP14) was co-expressed with ER-G1/NRas/shp53. Matrix metalloproteinase-14 (MMP14) expression was reduced by about 70% in liver tumours at 1 weeks post injection (wpi) (
The proliferation rate of ER-G1-expressing tumours at 1 weeks post injection (wpi) was also observed to be significantly reduced by the knockdown of matrix metalloproteinase-14 (MMP14), indicating that this protease plays a promoting role from an early stage. To further test this notion, mice with hepatocytes expressing MMP14/ER-G1/NRas/shp53 (ER-G1+MMP14) were generated. Increased matrix metalloproteinase-14 (MMP14) levels led to a strong acceleration of proliferation at 7 days post-injection (dpi) (
Altogether, these results show that activation by ER-specific glycosylation promotes tumour growth at least partially through the promotion of matrix metalloproteinase-14 (MMP14) activity.
In summary, the relocation of GALNTs from the Golgi to the ER results in increased Tn levels. A cytoplasmic (i.e., ER-like) Tn pattern was found in virtually all human and mouse tumours where the glycan is increased. The glycosylation of the ER-resident protein PDIA4 is another hallmark of this relocation, and was up-regulated in 4/4 late-stage and 2/3 early-stage mouse tumours and increased in most human tumours. Since GALNT relocation is a highly regulated event, GALA must endow tumour cells with a competitive advantage, wherein GALA accelerates tumour growth from the first cell division events.
In addition to PDIA4, Vicia villosa lectin (VVL) immunoblotting and the current knowledge of GALNT substrates suggest that the ER localization of GALNTs stimulates the glycosylation of multiple substrates, potentially activating multiple factors favouring tumour growth. To note, ER-G1 tumours seemed to accumulate significantly more ECM than the control tumours.
This study shows that the members of the GALNTs relocation process and the ER-localized initiation of O-glycosylation enable tumour growth, and can be used for detection and characterisation.
Table 1 below details the SEQ ID NOs referenced herein and their corresponding sequences. A brief description of the sequences is also provided.
The foregoing examples are presented for the purpose of illustrating the invention and should not be construed as imposing any limitation on the scope of the invention. It will readily be apparent that numerous modifications and alterations may be made to the specific embodiments of the invention described above and illustrated in the examples without departing from the principles underlying the invention. All such modifications and alterations are intended to be embraced by this application.
HepG2 cells (male) were obtained from the American Type Culture Collection (ATCC) and were maintained in DMEM with 15% fetal bovine serum (FBS). All cell lines were grown at 37° C. in a 10% CO2 incubator.
Six to eight week-old C57BL/6J male mice were obtained from Biological Resource Centre (BRC, Biomedical Sciences Institute, A*STAR). For hydrodynamic tail-vein injection, mice were kept in Tailveiner Restrainer (Braintree Scientific Inc., US) and injected via the lateral tail vein in 58 seconds using 27-gauge needles with a volume of solution corresponding to 10% their body weight. Each animal received 15 μg of transposase-encoding plasmid (pPGK-SB13), 30 μg of pT2/PGK/mCherry-Nras plasmid and 15 μg of pT2/shp53/PGK plasmid with the gene of interest (GOI). Plasmids were prepared using EndoFree Maxi Kit (Qiagen). DNA was suspended in Lactated Ringer's Injection (Baxter). Mice were monitored twice weekly for general health and tumour burden. Mice were euthanized and necropsied when the tumour size was estimated as 1-2.0 cm diameter or more by palpation. Liver tumours seen grossly were saved for histopathologic examination and molecular analysis. Mice were otherwise euthanized when moribund and full necropsies were performed. Tissues were snap-frozen or fixed in 10% formalin solution (Sigma Aldrich) and paraffin-embedded. For histology, 5 μm sections were processed for hematoxylin and eosin (H&E) staining. Histological classification of hepatic lesions and hepatocellular carcinoma (HCC) were reviewed by a pathologist based on published histological criteria. All animal experiments were performed in compliance with the Institutional Animal Care and Use Committee guidelines approved by Biological Resource Centre (BRC, Biomedical Sciences Institute, A*STAR).
Human tumour microarrays BC03002 and LV8011 were purchased from US Biomax, Inc. (Rockville, Md.). The TMAs contain liver disease spectrum (hepatocellular carcinoma progression) with clear clinical stage and pathology grade. Please see http://www.biomax.us/tissue-arrays/Liver/LV8011, and http://www.biomax.us/tissue-arrays/Liver/BC03002 for details on hematoxylin and eosin (H&E)-stained images and classification of the tumour cores shown in
Human liver samples were obtained from patients undergoing curative resection for hepatocellular carcinoma (HCC) from 1991 to 2009 at the National Cancer Centre (NCC), Singapore. The collection of tumour and adjacent normal liver tissues and use for research was approved by NCC Institutional Review Board, Singapore. Written informed consent was obtained from all participating patients and all clinical and histopathological data provided to the researchers were rendered anonymous. Patient demographics and clinical descriptions have been reported in previous studies.
Human liver samples were obtained from hepatocellular carcinoma (HCC) patients from 2014 to 2015 at the National Cancer Centre, Singapore. Cancerous and the corresponding distant noncancerous liver tissues were obtained from patients who underwent surgical resection as curative treatment for hepatocellular carcinoma (HCC). All tissue samples employed in this study were approved and provided by the Tissue Repository of the National Cancer Centre Singapore and conducted in accordance with the policies of its Ethics Committee. Informed consent was obtained from all participating patients and all clinical and histopathologic data provided to the researchers were rendered anonymous. All tissues were immediately snap frozen in liquid nitrogen until use. Information on the human hepatocellular carcinoma (HCC) patients can be found in Table 2 below.
To construct the sleeping beauty vector, the vector pT2/shp53/GFP4 was digested with XhoI and ligated to a 2176-bp XhoI/SaII-synthesized fragment by Genscript USA Inc. The fragment contains sequences of shp53, the phosphoglycerate kinase (PGK) promoter, followed by EGFP and multiple cloning sites (MCS) to facilitate cloning. The resultant vector, named pT2/shp53/PGK-EGFP, was used to insert different genes of interest (GOIs). Mouse Galnt1 (NM_013814) was used in this study. Galnt1 (or Golgi-G1), ER-G1 (fused to an ER signal sequence from human growth hormone), ER-G1 with catalytic domain mutations D156Q, D209N and H211D to block substrate and manganese binding were synthesized by GenScript USA Inc. These GOIs were then cloned into the vector pT2/shp53/PGK-EGFP by AvrII sites, and fused to EGFP at the C-terminus. Another vector, pT/Caggs-NRASV12, was cut with EcoRV/XhoI to remove the CAGG promoter and ligated to a 1884-bp EcoRV/SaII fragment harboring a PGK promoter controlling the expression of mCherry-fused to human NRASG12V. The resultant vector is named pT2/PGK/mCherry-Nras. The pPGK-SB13 containing a version of the SB10 transposase was used in this study. The synthesized shMMP14 coding sequences were inserted into pT2/PGK/mCherry-Nras by two BgIII sites to obtain the pT2/shMMP14/PGK/mCherry-Nras construct. To generate pT2/PGK/mCherry-Nras-2A-MMP14-WT and pT2/PGK/mCherry-Nras-2A-MMP14-T(5)A vectors, human MMP14 wild-type and mutants containing 2A self-cleaving sequences were gene synthesized (Genscript), then cloned into vector pT2/PGK/mCherry-Nras by two SacII sites. The following vectors have been deposited at Addgene. ID #100974 for pT2/PGK/mCherry-Nras; ID #100975 for pT2/shp53/PGK-EGFP; ID #100976 for pT2/shp53/PGK/Golgi G1; ID #100977 for pT2/shp53/PGK/ER-G1 and ID #100978 for pT2/shp53/PGK/ER-G1Δcat.
To construct the pLENTI6.3 vectors, human GALNT1 (NM_020474) and human MMP14 (NM_004995) wild-type and mutants were gene synthesized (Genscript) and cloned into pDONR221 entry vector (ThermoFisher Scientific). The entry clones were then subcloned into the respective pLENTI6.3 destination vectors using gateway LR cloning reaction. See also Table 3 for list of plasmids used.
Quantitative RT-PCR (qRT-PCR)
Total RNA was extracted using TRIzol (Invitrogen) and reverse transcribed to cDNA using the SuperScript III cDNA Synthesis Kit (Invitrogen) following the manufacturer's instructions. The Fluidigm BioMark real-time PCR system and 48.48 Microfluidic Dynamic Array were used for qRT-PCR analysis. Primer sequences were designed by Primer Express Software v3 and listed in Tables 1 and 3. For the specific target amplification (STA) pre-amplification reaction, each cDNA sample was pre-amplified with 200 nM pooled STA primer mix and Tagman PreAmp Master Mix (Applied Biosystems) in a 5 μl reaction, which was run for 14 cycles according to the manufacturer's protocol. To remove unincorporated primers, each sample was treated with Exonuclease I (ThermoFisher Scientific) following incubation at 37° C. for 30 minutes. For inactivation, the mix was in a second step, incubated at 80° C. for 15 minutes. At the end of the Exonuclease I treatment, the reactions were diluted 1:5 in TE buffer (pH 8.0) prior to use for qRT-PCR. The Fluidigm BioMark™ real-time PCR system and 48.48 Microfluidic Dynamic Arrays were employed for high-throughput qRT-PCR analysis. As volume per inlet is 5 μl, the 6 μl volume per inlet with overage was prepared. For the samples, 2.7 μl of each STA and ExoI-treated sample were mixed with 20×DNA Binding Dye Sample Loading Reagent (Fluidigm) and 2× SsoFast EvaGreen SuperMix with Low ROX (Bio-Rad). For the gene expression assays, 0.3 μl of mix primer pairs (100 uM) was added with 2× Assay Loading Reagent (Fluidigm) following the addition of 1×TE buffer to 6 μl volume. Prior to loading the samples and assays into the inlets, the chip was primed in the NanoFlex 4-IFC Controller. The samples and assays were then loaded into the inlets of the dynamic array. Following loading and mixing of the samples and assays into the chip by the IFC Controller, PCR was run with the following reactions conditions: 50° C. for 2 minutes, 95° C. for 10 minutes, followed by 40 cycles of 95° C. for 15 seconds and 60° C. for 60 seconds. Global threshold and linear baseline correction were automatically calculated for the entire chip. ATCB, GUSB and Atcb, Gusb were used as internal control genes in human and mouse samples, respectively. Fold change in expression of GOIs between liver tumour and adjacent non-tumour samples were calculated using the comparative cycle threshold Ct method following the formula: 2-ΔCt (tumour)/2-ΔCt (non-tumour). The -ΔCt data obtained from this calculation was used to generate the heatmap as well as supervised hierarchical clustering between samples by dChip software (www.dChip.org). Pearson correlation subtracted from unity was used as the distance metric, employing the centroid linkage method, which provides bounded distances in the range (−2, 2). p value threshold for function enrichment is <0.01. Significantly differentially expressed genes were identified in human and mouse liver tumours with fold-change ≥1.5 and p≤50.05 as compared to normal tissue (t-test).
Samples were de-paraffinized in Bond Dewax Solution and rehydrated through 100% ethanol to 1× Bond Wash Solution (Leica Biosystems). Samples were boiled for 40 minutes at 100° C. for antigen retrieval using Bond Epitope Retrieval Solution, then treated with 3% hydrogen peroxide for 15 minutes and incubated with 10% goat serum block for 30 min. Subsequent staining with Vicia villosa lectin (VVL)-Biotin (1:1000) was performed at room temperature for 60 min. After rinsing three times in Bond Wash Solution, samples were incubated with secondary Streptavidin-HRP antibody (1:200) at room temperature for 30 min. Signals indicating horseradish peroxidase (HRP-DAB) activity were visualised using Bond Refine Detection Kit (Leica) following the manufacturer's instructions. The nuclei were counterstained with hematoxylin for 5 min, dehydrated, and mounted for microscopic examination.
Blood (300 μl) was collected from control, Golgi-G1 and ER-G1 mice at 3 to 4 months post-injection and treated with 10 ml of ammonium-chloride-potassium (ACK) lysis buffer (ThermoFisher Scientific) at room temperature to lyse red blood cells. Cell pellets were suspended in PBS containing 2 mM EDTA and 2% FBS, and analysed for the number of EGFP+ cells by flow cytometry (MoFlo XDP, Beckman Coulter). The data are presented as the percentage of EGFP+ cells from gated cells; approximately 100,000 cells were analysed at the time of acquisition.
Stimulation with Growth Factors
Before growth factor stimulation, HEK293T cells were washed twice using Dulbecco's phosphate-buffered saline (D-PBS) and serum starved in serum-free DMEM for at least 16 hours. Human recombinant EGF (100 ng/ml; Sigma-Aldrich) or mouse recombinant PDGF-bb (50 ng/ml; Invitrogen) were added for various durations before lysis.
Harvested liver tissues were weighed and homogenized in ice-cold RIPA lysis buffer (50 mM Tris [pH 8.0, 4° C.], 200 mM NaCl, 0.5% NP-40 and complete protease inhibitor [Roche Applied Science]). The samples were lysed for 1 hour with constant agitation before clarification by centrifugation at 13000×g for 10 minutes at 4° C. To prepare the cells, the cell lines were washed twice with ice-cold D PBS, scraped in ice-cold RIPA lysis buffer, and lysed for 30 minutes with constant agitation before sample clarification. Clarified lysate protein concentrations were determined using Bradford reagent (Bio-Rad) before sample normalization for immunoprecipitation (IP) or sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE) electrophoresis using 4-12% Bis-Tris NuPage gels at 200V for 60 min. Electrophoresed samples were transferred on nitrocellulose membranes and blocked using 3% BSA dissolved in TBST (50 mM Tris [pH 8.0, 4° C.], 150 mM NaCl, and 0.1% Tween-20) for 1 hour at room temperature. Membranes were then incubated with primary antibodies or biotinylated-Vicia villosa lectin (VVL) (0.2 μg/ml) overnight at 4° C. The next day, membranes were washed three times in TBST before the addition of secondary antibody conjugated with horseradish peroxidase (HRP) or streptavidin-HRP. Membranes were further washed three times with TBST before ECL exposure.
Clarified cell/tissue lysates were incubated with Vicia villosa lectin (VVL)-conjugated beads for 2 hours at 4° C. The beads were washed at least three times with RIPA lysis buffer, before the precipitated proteins were eluted in 2×LDS sample buffer with 50 mM DTT by boiling at 95° C. for 10 minutes. For peanut agglutinin (PNA) and Datura stramonium Lectin (DSL) pulldowns, the cell lysates were incubated with biotinylated-PNA or -DSL lectins in lysis buffer supplemented with 2 mM CaCl2 and MgCl2 overnight at 4° C. The lectin-bound proteins were then IP with streptavidin beads for 2 hours at 4° C. before eluting by boiling in 2×LDS sample buffer with 50 mM DTT.
HepG2 cell lines were metabolically labelled with 200 μM GalNAz for 72 hours. Cells were lysed with RIPA lysis buffer and the clarified lysates were labelled with 250 μM of FLAG-phosphine overnight under constant agitation. The FLAG-GalNAz-labelled proteins were immunoprecipitated with FLAG antibody (Sigma Aldrich) for 1 hour and then incubated for 2 hours with protein G-Sepharose at 4° C. The IP samples were washed three times with lysis buffer and boiled in 2×LDS loading buffer at 95° C. for 10 minutes. Samples were resolved by sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE) electrophoresis using 4-12% Bis-Tris NuPage gels at 200 V for 60 minutes before transfer on nitrocellulose membranes.
HepG2 cell lines were transfected with the matrix metalloproteinase-14 (MMP14) mutants and grown to 95% confluence before cell-surface labelling with a cell-impermeable biotinylation reagent, Sulfo-NHS-SS-Biotin, for 30 minutes at 4° C. under constant agitation. The biotinylation process was quenched, and the cells were then harvested and lysed. The cell-surface proteins were isolated using the Pierce Cell Surface Protein Isolation Kit (ThermoFisher Scientific) following the manufacturers' instructions.
Cells were seeded at 20,000 cells per well in a 96-well plate (Falcon) and incubated at 37° C. with 10% CO2 overnight. The cells were fixed with 4% paraformaldehyde in D-PBS for 10 minutes, washed once with D-PBS, and then permeabilised with 0.2% Triton X-100 for a further 10 minutes. The cells were then stained with Helix pomatia lectin (HPL) and Hoechst 33342 diluted in 2% FBS in D-PBS for 20 minutes and washed three times for 5 minutes with D-PBS before high-throughput confocal imaging. Four sites per well were acquired sequentially with a 20× Plan Apo 0.75 NA objective on a laser-scanning confocal high-throughput microscope (ImageXpress Ultra, Molecular Devices).
For mouse samples, the slides required deparaffinization, antigen retrieval, and blocking steps before incubation with antibodies. Staining for Vicia villosa lectin (VVL)-biotin (4 μg/ml), Calnexin (1:100, Abcam, ab22595) and Hoescht (1:10,000) was performed overnight and counterstained with anti-rabbit Alexa Fluor 488 (1:1000) or Streptavidin-Alexa 594 (1:400) secondary antibodies for 30 minutes. Slides were counterstained with DAPI and then mounted (Vectashield) before confocal imaging.
HepG2 cell lines or harvested liver tissues were lysed in ice cold lysis buffer (50 mM Tris [pH 8.0, 4° C.], 200 mM NaCl, 0.5% NP-40 alternative and complete protease inhibitor [Roche Applied Science]) for 1 hour with constant agitation before clarification of samples by centrifugation at 13,000×g for 10 minutes at 4° C. Total protein levels of each sample were measured using Bradford assay. 100 μg (HepG2 cell lysates) and 60 μg (liver tissue lysates) of total protein lysate were added to matrix metalloproteinase (MMP) Förster resonance energy transfer (FRET) peptide substrate solution (Abcam) that was prepared according to the manufacturers' protocol. The samples were measured on a plate reader (Excitation/Emission=540/590 nm) over intervals of 5 minutes to determine the cleavage of the peptide substrate. Three replicates were performed for each condition.
HepG2 cells were seeded on either fluorescent red gelatin matrix or layered fluorescent red gelatin/collagen I matrix for 2 days. Gelatin was coupled to rhodamine by incubation with 5-carboxy-X-rhodamin succinimidyl ester (ThermoFisher Scientific) and coated onto sterile coverslips for 20 minutes. Coverslips were then fixed with 0.5% glutaraldehyde for 40 minutes (Electron Microscopy Sciences) and washed 3 times with 1×PBS. Layered red gelatin/collagen I coverslips were prepared by incubating 0.5 mg/ml collagen I (Corning) diluted in D-PBS for 4 hour at 37° C. on coated coverslips. Confocal images of rhodamine and nuclei channels were obtained using a confocal microscope (Zeiss LSM700) with a 10× or 20× objective. At least 30 images were acquired for each condition. The area of degradation was quantified using ImageJ software whereby the degradation area was delineated manually with the threshold bar. The degradation area was then normalized to the number of nuclei in each image.
HepG2 cell lines were seeded in 24-well plate (50,000 cells per well) and incubated overnight at 37° C. for them to adhere. The plate was transferred into Incucyte system (Essen BioScience) for live imaging with phase contrast microscopy. 16 images per well, in triplicates, were taken every 6 hours for 7 days. The level of proliferation was then determined by measuring cell confluency at each time point, using Incucyte software. Three independent experimental replicates were performed.
Kaplan-Meier survival curves were computed by Prism4 (GraphPad). The log-rank test was used to compare significant differences in death rates between different mouse cohorts. Prism4 performed a Student's t-test for direct comparison between GFP (control) and other cohorts. Based on Bonferroni's correction for multiple comparisons, p values of 50.01 were considered statistically significant.
All immunohistochemical (IHC) slides were scanned using a Leica SCN400 and viewed through Ariol-Slidepath Digital Imaging Hub (Leica Microsystems). Images captured by this system were used for quantification of Vicia villosa lectin (VVL) staining in human tumour cores and mouse liver tumours. The immunohistochemical (IHC) images were first converted to negative images by the Ariol System. ImageJ was used to calculate and subtract non-specific and counterstaining background from the whole TMAs. Corrected intensity measurements were divided by the total core area to generate the intensity per pixel per core. Final normalization to mean intensity per pixel per core from all normal tissue cores in each array was performed to enable direct comparison of Vicia villosa lectin (VVL) staining in the BC03002 and LV8011 arrays.
For the mice tumour sections, constant image calculator and subtract background were applied with ImageJ. At least three fields (diameter 200 μm) per section were used to measure Vicia villosa lectin (VVL) staining. The mean values for each tumour section were then normalized to the average area of control or normal liver sections. To quantify the area of Sleeping Beauty (SB) transposon-transformed cells in the livers of post-1 week-injected mice, the immunohistochemical (IHC) images of the mCherry-Nras staining were analysed using ImageJ. Images were first converted to 8-bit greyscale format and an automatic threshold was set to select the mCherry-stained areas. Small unstained areas within the stained cells were covered using the “fill holes” process. The area of each object above 500 pixel2 in size was measured, and the average area per object in each image was calculated. Please refer the
Image analysis was performed using MetaXpress software (version 3.1.0.89). For each well, total Helix pomatia lectin (HPL) staining intensity and nuclei number was quantified using the Transfluor HT application module in the software. Hundreds of cells from at least three wells per experiment were quantified. Three experimental replicates were performed.
To quantify degradation in matrix degradation assay, the area of degradation was quantified using ImageJ software. The degraded area was selected by adjusting the threshold and the total area of degradation in the image was measured. The degradation area was then normalized to the number of nuclei in each image. At least 30 images per condition were quantified from each experiment. Three independent experimental replicates were performed. Results are presented as the mean value and standard deviation (SD) unless stated otherwise. Statistical significance was measured using a Student's t-test assuming a two-tailed Gaussian distribution. Asterisks in figures denote statistical significance (*, p<0.05 or p<0.01; **, p<0.001; ***, p<0.0001).
Image analysis was performed using ImageJ. To quantify the intensity of the band, the image was inverted to black background and a box was drawn over the band of interest. The mean intensity of the band within the box area was measured, taking into account the mean intensity of the background.
| Number | Date | Country | Kind |
|---|---|---|---|
| 10201708183V | Oct 2017 | SG | national |
| Filing Document | Filing Date | Country | Kind |
|---|---|---|---|
| PCT/SG2018/050502 | 10/4/2018 | WO | 00 |
