Methods of selecting and isolating cancer stem cells

Information

  • Patent Grant
  • 10509036
  • Patent Number
    10,509,036
  • Date Filed
    Thursday, May 4, 2017
    7 years ago
  • Date Issued
    Tuesday, December 17, 2019
    5 years ago
Abstract
Provided herein are methods for selecting/identifying and/or isolating cancer stem cells from a biological sample or a cell culture sample using a fluorescent glucose analog. Also provided herein are methods for selecting/identifying and/or isolating leukemia stem cells and subpopulations thereof. The present invention is based, in part, on the discovery that cancer stem cells can be selected/identified based upon a lower level of fluorescence of the fluorescent glucose analog compared to non-cancer stem cells and that specific genes are differentially expressed in leukemia stem cells compared to non-leukemia stem cells.
Description
BACKGROUND OF THE INVENTION

Cancer develops in a hierarchical pattern originating from cancer stem cells (CSCs) that self-renew and give rise to more differentiated cancer cells that are unable to initiate the disease. Cancer stem cells have been identified in several types of cancer, including acute myeloid leukemia (AML), breast cancer, head and neck cancer, glioma, lung cancer, prostate cancer, mesenchymal neoplasm, melanoma, and colon cancer to name a few. Methods of selecting CSCs include using a combination of cell surface markers such as, EpCAM, CD166, CD144, CD133, and CD44.


Cancer stem cells are key to the progression of cancer, and are resistant to chemotherapeutic drugs. CSCs remain quiescent until they become genetically unstable and clonally expand during a pre-cancer disease phase. Afterwards, the CSCs develop or differentiate into different cancer cell types such as progenitor cancer cells, precursor cancer cells, and finally, terminally differentiated cancer cells.


Leukemia stem cells (LSCs) have been characterized in chronic myeloid leukemia (CML) and in some forms of AML (Schurch et al., Front Immunolo, 2013, 4:496). To date, stem cells from acute lymphoblastic leukemia (ALL) have not been identified. LSCs are resistant to most current treatments such as radiotherapy and chemotherapy. Thus, LSCs are considered the main cause of drug resistance and disease relapse.


Challenges remain for isolating CSCs including LSCs because CSCs are phenotypically heterogeneous and are relatively unstable. There remains a need in the art for methods of isolating CSCs from an individual or from cell culture, such that these cells can be, for example, studied further or used to develop targeted therapies for cancer. The present invention provides novel methods that satisfy this need and are advantageous over the current methods for isolating CSC, including LSCs.


BRIEF SUMMARY OF THE INVENTION

In one aspect of the present invention, provided herein is a method for selecting cancer stem cells from a sample. The method comprises: (a) incubating the sample with a fluorescent glucose analog under suitable conditions, wherein the sample comprises cancer stem cells and non-cancer stem cells (e.g., cancer cells that are not cancer stem cells); and (b) selecting the cancer stem cells from the sample based upon a lower level of fluorescence compared to the non-cancer stem cells. In some embodiments, the method also includes isolating the cancer stem cells. In certain instances, the cancer stem cells are isolated by separating or purifying the cancer stem cells from the non-cancer stem cells in the sample.


In some embodiments, the method is useful for isolating cancer stem cells from a sample. The method can include: (a) incubating the sample with a fluorescent glucose analog under suitable conditions, wherein the sample comprises cancer stem cells and non-cancer stem cells (e.g., cancer cells that are not cancer stem cells); (b) detecting (e.g., measuring) a lower level of fluorescence in cancer stem cells in the sample compared to non-cancer stem cells; and (c) isolating (e.g., separating or purifying) the cancer stem cells from the non-cancer stem cells in the sample.


In some embodiments, the cancer stem cells are capable of initiating cancer in an animal model, such as a xenograft mouse model. In some cases, the isolated cancer stem cells are transplanted or injected into a xenograft animal model to evaluate the cancer initiating activity of the cells.


In some embodiments, the non-cancer stem cells have highly efficient glucose uptake. The cells that are not cancer stem cells can have a high rate of glucose uptake compared to cancer stem cells and/or normal cells. In some cases, a high rate of glucose uptake refers to a rate that is about 2 to about 200 times higher than that of a cancer stem cell and/or a normal, non-cancer cell. In other cases, a high rate of glucose uptake refers to a rate that is at least about 1-log higher (e.g., between about 1-log to about 3-log higher or about 1-log, 2-log, or 3-log higher) than that of a cancer stem cell and/or a normal, non-cancer cell.


In some embodiments, the sample is a biological sample or a cell culture sample. In some instances, the biological sample is selected from the group consisting of bone marrow, blood, plasma, serum, cerebrospinal fluid, a tumor biopsy, a tissue biopsy, a fine needle aspirate, circulating tumor cells, and combinations thereof. The biological sample can be obtained from a subject with cancer, e.g., a human cancer patient. In some embodiments, the cancer is selected from the group consisting of a hematologic malignancy, bladder cancer, neuroblastoma, glioblastoma, melanoma, breast cancer, colon cancer, ovarian cancer, pancreatic cancer, prostate cancer, and other solid tumor cancers. In some instances, the hematologic malignancy is selected from the group consisting of acute lymphoblastic leukemia (ALL), acute myeloid leukemia (AML), chronic lymphocytic leukemia (CLL), chronic myeloid leukemia (CML), acute monocytic leukemia, Hodgkin's lymphomas, non-Hodgkin's lymphomas, multiple myeloma, myeloproliferative neoplasms, myeloid and lymphoid neoplasms associated with eosinophilia, myelodysplastic/myeloproliferative neoplasms, myelodysplastic syndrome, neoplasms related to AML, acute leukemias of ambiguous lineage, precursor B-cell neoplasms, mature B-cell neoplasms, precursor T-cell neoplasms, mature T-cell neoplasms, mast cell diseases, histiocytic sarcoma, dendritic cell neoplasms, posttransplantation lymphoproliferative disorders, and a combination thereof. Acute lymphoblastic leukemia can be B-cell ALL (e.g., precursor B cell ALL and mature B cell ALL) or T-cell ALL (e.g., precursor T cell ALL or mature T cell ALL).


In some embodiments, the cell culture sample comprises cells from a cancer cell line, e.g., a human cancer cell line. In some instances, the cancer cell line is a cell line of a hematologic malignancy, e.g., a leukemia cell line. The cell line of a hematologic malignancy can be an acute lymphoblastic leukemia (ALL) cell line, an acute myeloid leukemia (AML) cell line, or a chronic myelogenous leukemia (CML) cell line. In other instances, the cancer cell line is a neuroblastoma cell line. Non-limiting examples of cancer cell lines are described in, e.g., Barretina et al., Nature, 2012, 483(7391):603-607.


In some embodiments, the fluorescent glucose analog is selected from the group consisting of 2-[N-(7-nitrobenz-2-oxa-1,3-diaxol-4-yl)amino]-2-deoxyglucose (2-NBDG), 6-deoxy-N-(7-nitrobenz-2-oxa-1,3-diazol-4-yl)aminoglucose (6-NBDG), pyro-2DG, Cy5.5-D-glucosamine (Cy5.5-2DG), Cy3-linked O-1-glycosylated glucose (Cy3-α-glucose and Cy3-β-glucose), IRDye 800CW 2-DG, CyNE 2-DG, GB3-Cy3, other fluorescent glucose analogs, and combinations thereof.


In some embodiments, the cancer stem cells are selected using flow cytometry. The level of fluorescence can be detected or measured using flow cytometry. In some instances, the lower level of fluorescence of the cancer stem cells is at least about 1-log lower (e.g., between about 1-log to about 3-log lower or about 1-log, 2-log, or 3-log lower) compared to the non-cancer stem cells.


In another aspect of the present invention, provided herein is a method for identifying a leukemia stem cell in a sample. The method comprises (a) detecting or measuring the expression level of at least one leukemia stem cell marker of Tables 1, 2, 3, or 4 in a cell from the sample, wherein the sample comprises leukemia stem cells and non-leukemia stem cells (e.g., leukemia cells that are not leukemia stem cells); (b) comparing the expression level of the at least one leukemia stem cell marker in the cell to the expression level of the same leukemia stem cell marker in a non-leukemia stem cell; and (c) determining that the cell is a leukemia stem cell if the expression level of the at least one leukemia stem cell marker is higher or lower in the cell compared to the expression level of the same leukemia stem cell marker in the non-leukemia stem cell.


In some embodiments, the cell from the sample is identified as a leukemia stem cell if the expression level of at least one leukemia stem cell marker is higher in the cell compared to the level of the same marker in a non-leukemia stem cell. In other embodiments, the cell from the sample is identified as a leukemia stem cell if the expression level of at least one leukemia stem cell marker is lower in the cell compared to the level of the same marker in a non-leukemia stem cell. Where the expression level of a plurality of leukemia stem cell markers is detected or measured, the leukemia stem cell can be identified based upon a higher or lower expression level of each of the leukemia stem cell markers compared to the level of the same marker in a non-leukemia stem cell.


In some embodiments, provided herein is a method for isolating a leukemia stem cell in a sample. The method includes (a) detecting or measuring the expression level of at least one leukemia stem cell marker of Tables 1, 2, 3, or 4 in a cell from the sample, wherein the sample comprises leukemia stem cells and non-leukemia stem cells (e.g., leukemia cells that are not leukemia stem cells); and (b) isolating (e.g., separating or purifying) the leukemia stem cell having a higher or lower expression level of the at least one leukemia stem cell marker compared to a non-leukemia stem cell. Where the expression level of a plurality of leukemia stem cell markers is detected or measured, the leukemia stem cell can be isolated based upon a higher or lower expression level of each of the leukemia stem cell markers compared to the level of the same marker in a non-leukemia stem cell.


In some embodiments, the expression level of at least 20, at least 50 or at least 90 leukemia stem cell markers of Table 1 is detected. In other embodiments, the expression level of at least 50 leukemia stem cell markers of Table 2 is detected. In yet other embodiments, the expression level of at least 20, at least 40, or at least 60 leukemia stem cell markers of Table 3 is detected. In some embodiments, the expression level of at least 20, at least 50 or at least 90 leukemia stem cell markers of Table 4 is detected.


In some embodiments, the expression level of leukemia stem cell marker Nos. 1-121 of Table 1 is detected. In other embodiments, the expression level of leukemia stem cell marker Nos. 1-93 of Table 2 is detected. In yet other embodiments, the expression level of leukemia stem cell marker Nos. 1-80 of Table 3 is detected. In another embodiment, the expression level of leukemia stem cell marker Nos. 1-105 of Table 4 is detected.


In some embodiments, the sample is a biological sample or a cell culture sample. In some instances, the biological sample is selected from the group consisting of bone marrow, blood, plasma, serum, cerebrospinal fluid, circulating tumor cells, or a combination thereof. The biological sample can be obtained from a subject with acute lymphoblastic leukemia. In some embodiments, the cell culture sample comprises cells from an acute lymphoblastic leukemia cell line. In some instances, the acute lymphoblastic leukemia (ALL) is B-cell ALL or T-cell ALL.


In some instances, the leukemia stem cell is a B-cell ALL stem cell if the expression level of at least one leukemia stem cell marker selected from the group consisting of leukemia stem cell marker Nos. 1-9 of Table 3 and is higher than in the non-leukemia stem cell. In other instances, the leukemia stem cell is a B-cell ALL stem cell if the expression level of at least one leukemia stem cell marker selected from the group consisting of leukemia stem cell marker Nos. 10-80 of Table 3 is lower than in the non-leukemia stem cell. In yet other instances, the leukemia stem cell is a B-cell ALL stem cell if the expression level of at least one leukemia stem cell marker selected from the group consisting of leukemia stem cell marker Nos. 1-9 of Table 3 is higher than in the non-leukemia stem cell, and the expression level of at least one leukemia stem cell marker selected from the group consisting of leukemia stem cell marker Nos. 10-80 of Table 3 is lower than in the non-leukemia stem cell.


In some instances, the leukemia stem cell is a T-cell ALL stem cell if the expression level of at least one leukemia stem cell marker selected from the group consisting of leukemia stem cell marker Nos. 1-19 of Table 4 is higher than in the non-leukemia stem cell. In other instances, the leukemia stem cell is a T-cell ALL stem cell if the expression level of at least one leukemia stem cell marker selected from the group consisting of leukemia stem cell marker Nos. 20-105 of Table 4 is lower than in the non-leukemia stem cell. In yet other instances, the leukemia stem cell is a T-cell ALL stem cell if the expression level of at least one leukemia stem cell marker selected from the group consisting of leukemia stem cell marker Nos. 1-19 of Table 4 is higher than in the non-leukemia stem cell, and the expression level of at least one leukemia stem cell marker selected from the group consisting of leukemia stem cell marker Nos. 20-105 of Table 4 is lower than in the non-leukemia stem cell.


In some embodiments, the leukemia stem cells described above are capable of initiating leukemia in an animal model, such as a xenograft mouse model.


In yet another aspect of the present invention, provided herein is a method for identifying a subpopulation of leukemia stem cells in a sample. The method comprises (a) detecting or measuring the expression level of at least one leukemia stem cell marker of Table 2 in a heterogeneous population of leukemia stem cells from the sample; (b) comparing the expression level of the at least one leukemia stem cell marker between different leukemia stem cells in the heterogeneous population of leukemia stem cells; and (c) identifying a subpopulation of leukemia stem cells based upon a higher or lower expression level of the at least one leukemia stem cell marker compared to the other leukemia stem cells in the heterogeneous population of leukemia stem cells. Where the expression level of a plurality of leukemia stem cell markers of Table 2 is detected or measured, the subpopulation of leukemia stem cells can be identified based upon a higher or lower expression level of each of the leukemia stem cell markers compared to the other leukemia stem cells in the heterogeneous population. In some embodiments, the method further comprises isolating (e.g., separating or purifying) the identified subpopulation of leukemia stem cells from other leukemia stem cells in the heterogeneous population.


In another aspect, provided herein is a method for isolating a subpopulation of leukemia stem cells in a sample. The method comprises (a) detecting or measuring the expression level of at least one leukemia stem cell marker of Table 2 in a heterogeneous population of leukemia stem cells from the sample; and (b) isolating (e.g., separating or purifying) a subpopulation of leukemia stem cells based upon a higher or lower expression level of the at least one leukemia stem cell marker compared to the other leukemia stem cells in the heterogeneous population of leukemia stem cells. Where the expression level of a plurality of leukemia stem cell markers of Table 2 is detected or measured, the subpopulation of leukemia stem cells can be isolated based upon a higher or lower expression level of each of the leukemia stem cell markers compared to the other leukemia stem cells in the heterogeneous population.


In some embodiments, the expression level of at least 20 leukemia stem cell markers of Table 2 is detected. In other embodiments, the expression level of at least 50 leukemia stem cell markers of Table 2 is detected. In another embodiment, the expression level of at least 90 leukemia stem cell markers of Table 2 is detected. In yet another embodiment, the expression level of leukemia stem cell markers No. 1-93 of Table 2 is detected.


In some embodiments, step (a) of the method also includes: (i) incubating the sample with a fluorescent glucose analog under suitable conditions; (ii) measuring a lower level of fluorescence in a heterogeneous population of leukemia stem cells from the sample compared to non-leukemia stem cells; and (iii) isolating the heterogeneous population of leukemia stem cells. In some instances, the non-leukemia stem cells have highly efficient glucose uptake.


In some embodiments, the sample is a biological sample or a cell culture sample. In some instances, the biological sample is selected from the group consisting of bone marrow, blood, plasma, serum, cerebrospinal fluid, or circulating tumor cells, or a combination thereof. The biological sample can be obtained from a subject with acute lymphoblastic leukemia. In some embodiments, the cell culture sample comprises cells from an acute lymphoblastic leukemia cell line. In some instances, the acute lymphoblastic leukemia (ALL) is B-cell ALL or T-cell ALL.


In some embodiments, the fluorescent glucose analog is selected from the group consisting of 2-[N-(7-nitrobenz-2-oxa-1,3-diaxol-4-yl)amino]-2-deoxyglucose (2-NBDG), 6-deoxy-N-(7-nitrobenz-2-oxa-1,3-diazol-4-yl)aminoglucose (6-NBDG), pyro-2DG, Cy5.5-D-glucosamine (Cy5.5-2DG), Cy3-linked O-1-glycosylated glucose (Cy3-α-glucose and Cy3-β-glucose), IRDye 800CW 2-DG, CyNE 2-DG, GB3-Cy3, other fluorescent glucose analogs, and combinations thereof.


In some embodiments, the cancer stem cells are selected using flow cytometry. In some instances, the lower level of fluorescence of the cancer stem cells is at least about 1-log lower (e.g., between about 1-log to about 3-log lower or about 1-log, 2-log, or 3-log lower) compared to the non-cancer stem cells.


In some embodiments, the leukemia stem cells are capable of initiating leukemia in an animal model, e.g., a xenograft animal model.


In another aspect, provided herein is a method of isolating leukemia stem cells of B-cell type acute lymphoblastic leukemia (B-cell ALL) from a sample (e.g., a biological sample or a cell culture sample). The sample can be a B-cell ALL cell line or a sample obtained from a patient with B-cell ALL. The method includes: (a) incubating the sample with a fluorescent glucose analog under suitable conditions, (b) measuring or detecting the level of fluorescence in the sample using, for example, flow cytometry; and (c) isolating (e.g., separating or purifying) the leukemia stem cells having a lower level of fluorescence compared to the non-leukemia stem cells in the sample. Optionally, the isolated leukemia stem cells can be confirmed to be stem cells of B-cell ALL by detecting a higher or lower expression level of at least one leukemia stem cell marker of Table 3 in an isolated leukemia stem cell compared to a non-leukemia stem cell. In some embodiments, a higher expression level of at least one leukemia stem cell marker selected from the group consisting of leukemia stem cell marker Nos. 1-9 of Table 3 indicates that the isolated leukemia stem cells are B-cell ALL stem cells. In other embodiments, a lower expression level of at least one leukemia stem cell marker selected from the group consisting of leukemia stem cell marker Nos. 10-80 of Table 3 indicates that the isolated leukemia stem cells are B-cell ALL stem cells. In yet other embodiments, a higher expression level of at least one leukemia stem cell marker selected from the group consisting of leukemia stem cell marker Nos. 1-9 of Table 3 in combination with a lower expression level of at least one leukemia stem cell marker selected from the group consisting of leukemia stem cell marker Nos. 10-80 of Table 3 indicates that the isolated leukemia stem cells are B-cell ALL stem cells.


In another aspect, provided herein is a method of isolating leukemia stem cells of T-cell type acute lymphoblastic leukemia (T-cell ALL) from a sample (e.g., a biological sample or a cell culture sample). The sample can be a T-cell ALL cell line or a sample obtained from a patient with T-cell ALL. The method includes: (a) incubating the sample with a fluorescent glucose analog under suitable conditions, (b) measuring or detecting the level of fluorescence in the sample using, for example, flow cytometry; and (c) isolating (e.g., separating or purifying) the leukemia stem cells having a lower level of fluorescence compared to the non-leukemia stem cells in the sample. Optionally, the isolated leukemia stem cells can be confirmed to be stem cells of T-cell ALL by detecting a higher or lower expression level of at least one leukemia stem cell marker of Table 4 in an isolated leukemia stem cell compared to a non-leukemia stem cell. In some embodiments, a higher expression level of at least one leukemia stem cell marker selected from the group consisting of leukemia stem cell marker Nos. 1-19 of Table 4 indicates that the isolated leukemia stem cells are T-cell ALL stem cells. In other embodiments, a lower expression level of at least one leukemia stem cell marker selected from the group consisting of leukemia stem cell marker Nos. 20-105 of Table 4 indicates that the isolated leukemia stem cells are T-cell ALL stem cells. In yet other embodiments, a higher expression level of at least one leukemia stem cell marker selected from the group consisting of leukemia stem cell marker Nos. 1-19 of Table 4 in combination with a lower expression level of at least one leukemia stem cell marker selected from the group consisting of leukemia stem cell marker Nos. 20-105 of Table 4 indicates that the isolated leukemia stem cells are T-cell ALL stem cells.


Other objects, features, and advantages of the present invention will be apparent to one of skill in the art from the following detailed description and figures.





BRIEF DESCRIPTION OF THE DRAWINGS


FIGS. 1A-C show that a distinct population of NBDG low cells identified in the JM1 pre-B lymphoblast cell line derived from a patient with immunoblastic B cell lymphoma-leukemia. These cells have less in vitro colony forming capability compared to the corresponding NBDG high cells (FIG. 1A). The NBDG low cells have lower HLA expression compared to the NBDG high cells (FIG. 1B) and are also smaller in size as determined by phase contrast microscopy (FIG. 1C).



FIGS. 2A-C show that cancer stem cells with low NBDG fluorescence were isolated from the Reh cell line of pre-B lymphocyte cells from a patient with acute lymphoblastic leukemia (ALL). These cells have less colony forming capacity in an in vitro assay (FIG. 2A), have lower HLA expression compared to NBDG high cells from the same cell line (FIG. 2B) and are smaller in size as determined by phase contrast microscopy (FIG. 2C).



FIGS. 3A-C show that cancer stem cells with low NBDG fluorescence were isolated from the Jurkat cell line of T lymphocyte cells derived from a human patient with acute lymphoblastic leukemia (ALL). These cells formed fewer colonies in an in vitro colony forming assay (FIG. 3A), have lower HLA expression compared to NBDG high Jurkat cells (FIG. 3B) and are smaller in size as determined by phase contrast microscopy (FIG. 3C).



FIGS. 4A-C show that leukemia stem cells with low NBDG fluorescence were isolated from the Molt4 cell line of T cells from an acute lymphoblastic leukemia (ALL) patient. These cells formed fewer colonies in an in vitro colony forming assay (FIG. 4A), have lower HLA expression compared to NBDG high Molt4 cells (FIG. 4B) and are smaller in size as illustrated by phase contrast microscopy (FIG. 4C).



FIGS. 5A-B show that leukemia stem cells with low NBDG fluorescence were isolated from the K562 cell line derived from a patient with chronic myelogenous leukemia. These cells formed fewer colonies in an in vitro colony forming assay (FIG. 5A) and have lower HLA expression (P7) compared to NBDG high K562 cells (P8 in FIG. 5B).



FIGS. 6A-C show that cancer stem cells with low NBDG fluorescence were isolated from the neuroblastoma cell line SK-N-BE. These cells formed fewer colonies in an in vitro colony forming assay (FIG. 6A), have lower HLA expression compared to NBDG high SK-N-BE cells (P5 vs. P6 in FIG. 6B) and are smaller in size as illustrated by phase contrast microscopy (FIG. 6C).



FIGS. 7A-C show that neuroblastoma stem cells with low NBDG fluorescence were isolated from the neuroblastoma cell line SK-N-DZ. These cells formed fewer colonies in an in vitro colony forming assay (FIG. 7A), have lower HLA expression compared to NBDG high SK-N-DZ cells (FIG. 7B) and are smaller in size as illustrated by phase contrast microscopy (FIG. 7C).



FIGS. 8A-C show that neuroblastoma stem cells with low NBDG fluorescence were isolated from the neuroblastoma cell line IMR32 which is derived from metastatic cells found in a stomach tumor of a patient with neuroblastoma. These cells formed fewer colonies in an in vitro colony forming assay (FIG. 8A), have lower HLA expression compared to NBDG high IMR32 cells (P5 vs. P6 in FIG. 8B) and are smaller in size as illustrated by phase contrast microscopy (FIG. 8C).



FIGS. 9A-B show that neuroblastoma stem cells with low NBDG fluorescence were isolated from the neuroblastoma cell line SK-N-SH derived from metastatic cells found in the bone marrow aspirate of a patient with neuroblastoma. These cells formed fewer colonies in an in vitro colony forming assay (FIG. 9A) and have lower HLA expression compared to NBDG high SK-N-SH cells (P5 vs. P6 in FIG. 9B).



FIGS. 10A-C show that neuroblastoma stem cells with low NBDG fluorescence were isolated from the cell line SH-SY5Y which is derived from a bone marrow biopsy from a patient with neuroblastoma. These cells formed fewer colonies in an in vitro colony forming assay (FIG. 10A), have lower HLA expression compared to NBDG high SH-SY5Y cells (P4 vs. P5 in FIG. 10B) and are smaller in size as illustrated by phase contrast microscopy (FIG. 10C).



FIG. 11 illustrates that freshly sorted patient-derived leukemia stem cells have a lower level of fluorescence (P4) compared to other cells that are not leukemia stem cells and have a higher level of fluorescence (P5) due to NBDG uptake. The data show that leukemia stem cells have less efficient glucose uptake or metabolism compared to the other sorted cells, such as the non-leukemia stem cells. FIG. 11 also shows that the leukemia stem cells are smaller in size compared to the non-leukemia stem cells.



FIGS. 12A-D illustrate that mice transplanted with the patient derived leukemia stem cells of FIG. 11 developed leukemia between 5-14 weeks post-transplantation, whereas mice transplanted with the cells having a high level of NBDG did not develop the disease within the same timeframe or by the end of the study, which was more than 4 months after the LSC group developed leukemia. None of the mice transplanted with NBDG high cells developed leukemia. The data clearly show that NBDG low cells initiate leukemia whereas NBDG high cells do not, thereby indicating that NBDG low cells are LSCs. FIG. 12A shows a Kaplan Meier survival curve for NOD/SCID/IL-2Rγ−/− (NSG) mice injected with 10,000 cells or 50,000 cells from either NBDG low cells or NBDG high cells. FIG. 12B shows a Kaplan Meier survival curve for NSG mice injected with 5,000 cells or 10,000 cells from either NBDG low cells or NBDG high cells. FIG. 12C shows a Kaplan Meier survival curve for NSG mice injected with 10,000 cells from either NBDG low cells or NBDG high cells. FIG. 12D shows a Kaplan Meier survival curve for NSG mice injected with 10,000 cells from either NBDG low cells or NBDG high cells.



FIGS. 13A-B illustrate that NOD/SCID/IL-2Rγ−/− mice transplanted with 100 patient derived leukemia stem cells developed leukemia between 15-36 weeks post-transplantation, whereas almost all mice transplanted with cells having a high level of NBDG did not develop the disease within the same timeframe. FIG. 13A shows Kaplan Meier curves of mice injected with the 1s83m3 sample of NBDG high and low cells. FIG. 13B shows Kaplan Meier curves of mice injected with the 2s89m3 sample of NBDG high and low cells.



FIG. 14 shows that single cell transcriptome profiling data indicating that there are distinct populations or subclones in the LSCs isolated according to the methods described herein. FIG. 14 shows hierarchical clustering of single-cell gene expression data obtained using the C1 Single-Cell Auto Prep and BioMark HD System (Fluidigm Corp., South San Francisco, Calif.) of the primary ALL sample harvested from the xenograft mouse model (2s83).



FIG. 15 shows hierarchical clustering of single-cell gene expression data from another primary ALL sample (1s88).



FIG. 16 shows hierarchical clustering of single-cell gene expression data from another primary ALL sample (3s86).





DETAILED DESCRIPTION OF THE INVENTION
I. Introduction

Provided herein are methods for selecting and optionally isolating cancer stem cells, including leukemia stem cells (LSCs), from a sample comprising cancer stem cells and non-cancer stem cells. The present invention is based, in part, on the surprising discovery that cancer stem cells can be selected based upon a lower level of fluorescence of a fluorescent glucose analog compared to non-cancer stem cells. Also provided herein are methods for selecting and optionally isolating leukemia stem cells based upon the detection of leukemia stem cell markers that are differentially expressed in LSCs (Tables 1 and 2), B-cell ALL stem cells (Table 3), and T-cell ALL stem cells (Table 4) versus non-LSCs. Moreover, a subpopulation of LSCs can be identified and optionally isolated from a heterogeneous population of LSCs based upon the differential expression of specific leukemia stem cell markers described in Table 2.


Isolated cancer stem cells described herein are useful for the development of cancer stem cell-targeted therapeutics. These cells can be used, for example, in drug screening methods. The distinct subpopulations of leukemia stem cells can be used in experimental analysis to determine or predict disease progression, relapse, and/or the development of disease resistance.


II. Definitions

As used herein, the following terms have the meanings ascribed to them unless specified otherwise.


The term “a,” “an,” or “the” as used herein not only include aspects with one member, but also include aspects with more than one member. For instance, the singular forms “a,” “an,” and “the” include plural referents unless the context clearly dictates otherwise. Thus, for example, reference to “a cell” includes a plurality of such cells and reference to “the agent” includes reference to one or more agents known to those skilled in the art, and so forth.


As used herein, the terms “about” or “approximately”, unless otherwise indicated, refer to a value that is no more than 10% above or below the value being modified by the term.


The term “biological sample” encompasses a variety of sample types obtained from an organism or a cell line. The term encompasses blood and other liquid samples of biological origin, solid tissue samples, such as a biopsy specimen or tissue cultures or cells derived therefrom and the progeny thereof. The term includes samples that have been manipulated in any way after their procurement, such as by treatment with reagents, solubilization, or enrichment for certain components. The term includes a clinical sample, and also includes cells in cell culture, cell supernatants, cell lysates, serum, plasma, biological fluids, and tissue samples.


The terms “individual,” “subject,” “host,” and “patient,” used interchangeably herein and refer to any mammalian subject for whom diagnosis, treatment, or therapy is desired, particularly humans.


The terms “cancer,” “neoplasm,” “tumor,” and “carcinoma,” are used interchangeably herein to refer to cells which exhibit relatively autonomous growth, so that they exhibit an aberrant growth phenotype characterized by a significant loss of control of cell proliferation. In general, cells of interest for detection or treatment in the present application include precancerous (e.g., benign), malignant, pre-metastatic, metastatic, and non-metastatic cells. Types of cancer that can be used in the present invention include, but are not limited to, hematologic malignancies (e.g., leukemia, lymphoma, and myeloma), pancreatic cancer, prostate cancer, breast cancer, skin cancer, gastrointestinal cancer, lung cancer, hepatocellular carcinoma, cervical cancer, endometrial cancer, ovarian cancer, fallopian tube cancer, vaginal cancer, liver cancer, bile duct cancer, bladder cancer, urinary tract cancer, thyroid cancer, adrenal cancer, kidney cancer, other organ tissue cancers, liposarcoma, leiomyosarcoma, rhabdomyosarcoma, synovial sarcoma, angiosarcoma, fibrosarcoma, malignant peripheral nerve tumor, gastrointestinal stromal tumor, desmoid tumor, Ewing's sarcoma, osteosarcoma, chondrosarcoma, and other sarcomas. See, e.g., Kumar V, Abbas A K, Fausio N. Robbins and Cotran, Pathologic Basis of Disease. 7th Ed. “Unit I: General Pathology, 7: Neoplasia, Biology of tumor growth: Benign and malignant neoplasms”. 269-342, 2005.


As used herein, the term “hematologic malignancy” refers to a cancer that originates in a blood-forming tissue such as bone marrow, or in cells of the immune system. Types of hematologic malignancies include leukemias, lymphomas, and myelomas. Classifications or types of hematologic malignancies include those set forth in the Rappaport Classification of Lymphoma, Kiel Classification of Lymphoma, the Working Formulation for Non-Hodgkin Lymphoma, the Revised European American Lymphoma Classification (REAL), and the World Health Organization (WHO) classifications, and by the National Cancer Institute of the National Institutes of Health. Descriptions of the WHO classifications are found in, e.g., Vardiman et al., Blood, 2009, 114(5):937-951 and Campo et al., Blood, 2011, 117(19):5019-5032. The term “leukemia” refers to a blood cancer starting in blood-forming cells (e.g., lymphoid cells or myeloid cells). Leukemia cells are found mainly in the bone marrow and blood. The term “lymphoma” refers to a blood cancer starting in the lymphatic system such as a lymphocyte, lymph node cell or lymphatic tissue.


The term “acute lymphoblastic leukemia” or “ALL” refers to an aggressive hematological tumor resulting from the malignant transformation of hematopoietic lymphoid progenitors. It is the most frequent leukemia in childhood, with a peak incidence from ages 3 to 5 years. It also occurs in adolescents and has a second, lower peak in adults. ALL develops from early forms of lymphocytes. It can start in either early B lymphocytes (B cells) or T lymphocytes (T cells) at different stages of maturity. ALL starting in T-cells is called T-cell ALL and abbreviated T-ALL; similarly, ALL starting in B-cells is called B-cell ALL and abbreviated B-ALL.


Clinical diagnosis of ALL relies widely on morphology, although genetic abnormalities resulting from chromosomal translocations are used for diagnostic purposes. However, only in 60% of children with ALL, genetic abnormalities are detected with present technologies (Mrozek et al., Blood Rev 2004; 18(2):115-36).


Treatment generally emphasizes early introduction of an intensive multi-drug regimen, which may include prednisone, vincristine, anthracycline, asparaginase or methotrexate. Other drugs and combinations include cytarabine and etoposide, and cyclophosphamide. Relapse usually occurs in the bone marrow but may also occur in the central nervous system or testes, alone or concurrent with bone marrow. Although second remissions can be induced in many children, subsequent remissions tend to be brief.


Conventional chemotherapy treatment includes nucleoside therapy, for example with a combination of 6-mercaptopurine (6-MP) and 6-thioguanine (6-TG). However, despite intensive chemotherapy, 20% of pediatric and over 50% of adult acute lymphoblastic leukemia patients show transient responses to treatment and ultimately die from the disease.


The term “acute myeloid leukemia” or “AML” refers to a cancer of the myeloid line of blood cells, characterized by the rapid growth of abnormal white blood cells, e.g., hematopoietic progenitor cells that accumulate in the bone marrow and interfere with the production of normal blood cells. AML progresses rapidly and is typically fatal within weeks or months if left untreated. AML is the most prevalent form of adult leukemia, particularly among the elderly and is slightly more common in men than women. AML accounts for approximately 1.2% of all cancer deaths. The 5 year survival rates for AML are low, driven by therapy failure and patients relapsing. Among patients<65 the 5 year survival rate is 34.4%, among patients>65 it is only 5%. AML can also be referred to as acute myelocytic leukemia, acute myelogenous leukemia, acute granulocytic leukemia, or acute lymphocytic leukemia. The term AML includes all subtypes of AML according to, for example, the World Health Organization (WHO) classification or the French-American-British (FAB) classification of AML.


The pathogenesis of AML is a multi-step process affecting cell differentiation, proliferation and apoptosis that ultimately lead to malignant transformation of hematopoietic progenitors. Without intending to be bound by any particular theory, at least two, probably in most cases multiple, hits are required for leukemic transformation. For instance, one hit may be a genetic abnormality that results in constitutive activation of proliferative signaling and involves signaling molecules and another hit may be lesions, such as formation of fusion genes, as a result of the chromosomal abnormalities involving transcription factors that result in a block of myeloid differentiation.


“Neuroblastoma” refers to a tumor that develops from the sympathetic nervous system, such as the adrenal gland or sympathetic ganglia (Brodeur, Nat. Rev. Cancer, 2003, 3:203-216). It is one of the most frequent solid tumors in children. It is the most common malignancy diagnosed in the first year of life and shows a wide range of clinical phenotypes with some patients having tumors that regress spontaneously, whereas the majority of patients have aggressive metastatic disease (Maris et al., Lancet, 2007, 369:2106-20). These latter neuroblastoma cases have survival probabilities of less than 40% despite intensive chemoradiotherapy, and the disease continues to account for 15% of childhood cancer mortality (Maris et al. (2007) Lancet, 369:2106-20; Matthay et al. (1999) N. Eng. J. Med., 341:1165-73). The cancer can start in neuroblasts (e.g., early nerve cells) of the sympathetic nervous system. The term neuroblastoma includes any stage of the cancer as determined according to, for example, the International Neuroblastoma Staging System (INSS) or the International Neuroblastoma Risk Group Staging System (INRGSS).


The term “normal” as used in the context of “normal cell,” is meant to refer to a cell of an untransformed phenotype or exhibiting a morphology of a non-transformed cell of the tissue type being examined. A “cancer cell” refers to a cell of a cancer that can be identified by abnormalities in, for example, cell growth or proliferation (e.g., uncontrolled growth or proliferation), regulation of the cell cycle, cell mobility, cell-cell interaction, or metastasis, etc.


The term “leukemia” as used herein means any disease involving the progressive proliferation of abnormal leukocytes found in hematopoietic tissues, other organs and usually in the blood in increased numbers. For example, leukemia includes acute lymphocytic leukemia (ALL), acute myeloid leukemia (AML), chronic lymphocytic leukemia (CLL) and chronic myelogenous leukemia (CML), including cytogenetically normal and abnormal subtypes.


The term “leukemic cell” or “leukemia cell” refers to an abnormal white blood cell found in leukemia. A leukemic cell includes leukemia stem cells, lymphoid blast cells, lymphoblasts, myeloblasts, leukemia specific B cells, leukemia specific T cells, differentiated leukemia stem cells, precursor leukemia stem cells, and progenitor leukemia stem cells.


The term “cancer stem cell” refers to a cell of a cancer, such as a solid tumor, that has the ability to perpetuate through self-renewal and to generate other cells of the cancer through differentiation or to generate new tumors and/or lead to metastatic disease.


The term “leukemia stem cell” refers to a cancer stem cell that can initiate leukemia, which is a cancer of leukocytes, e.g., white blood cells.


The term “non-cancer stem cell” refers to a cell that may be of a cancer and is not a cancer stem cell. A non-cancer stem cell may be a differentiated cancer cell, a precursor cancer cell, a progenitor cancer cell, or another cancer cell that is not a cancer stem cell.


The term “marker” in the context of a cell or tissue (e.g. a normal or cancer cell or cancer stem cell) means any gene product, e.g., non-coding RNA (non-messenger RNA), mRNA and polypeptide, antigen, molecule or other chemical or biological entity that is specifically found in or on a cell of interest and can be used to identify the cell affected by a disease or disorder.


The term “expression level” when referring to a cell marker such as a leukemia stem cell marker, refers to the measurable quantity of a gene product produced by the gene in a sample of a patient wherein the gene product can be a transcriptional product or a translated transcriptional product. Accordingly, the expression level can pertain to a nucleic acid gene product such as RNA or cDNA or a polypeptide. The expression level is derived from a biological sample, a subject's sample, a cell culture sample, and/or a control sample, and can for instance be detected de novo or correspond to a previous determination.


The term “detecting an expression level” or “expression level is detected” as used in reference to a gene means the application of a method to a sample, e.g., a subject sample, a biological sample, a cell culture sample, and a control sample, for ascertaining quantitatively, semi-quantitatively or qualitatively the amount of a gene expression product, e.g., RNA, mRNA or polypeptide product. For example, a level of a gene expression can be determined by a number of methods including, but not limited to, arrays and other hybridization based methods and PCR protocols. In some instances, the PCR methods include a probe or primer or primer set that are used to ascertain the amount of nucleic acid of the gene. For example, an expression level of a gene can be determined using a probeset or one or more probes of the probeset, described herein for a particular gene. In addition more than one probeset where more than one exists, can be used to determine the expression level of the gene.


Other examples of methods for detecting the amount of gene expression product present in a sample include Nanostring® technology, serial analysis of gene expression (SAGE), RNA sequencing, RNase protection assays, and Northern Blot. The polypeptide level can be determined by an immunoassay, such as western blot, flow cytometry, immunohistochemistry, ELISA, immunoprecipation and the like, where a gene or gene signature detection agent such as an antibody, for example, a labeled antibody specifically binds the polypeptide product encoded by the gene and the relative or absolute amount of polypeptide in a sample can be ascertained.


The term “a higher or lower expression level of a leukemia stem cell marker” refers to the level or amount of a polynucleotide that represents or corresponds to a gene that is differentially expressed in a cancer stem cell when compared to a cell that is not a cancer stem cell, e.g., a level of mRNA that is at least about 25%, at least about 50%, at least about 90%, at least about 100%, 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 5.0-fold, at least about 5.5-fold, at least about 6.0-fold, at least about 6.5-fold, at least about 7.0-fold, at least about 7.5-fold, at least about 8.0-fold, at least about 8.5-fold, at least about 9.0-fold, at least about 9.5-fold, at least about 10-fold, at least about 25-fold, or at least about 50-fold higher or lower in a cancer stem cell versus a cell that is not a cancer stem cell.


III. Detailed Description of the Embodiments

The methods provided herein can be used to select and isolate cancer stem cells from a mixed population of cells from an individual or a cell culture sample based on differences in glucose uptake. Leukemia stem cells (e.g., B-cell ALL stem cells or T-cell ALL stem cells) can also be separated from non-leukemia stem cells using stem cell markers. Furthermore, a subpopulation of leukemia stem cells can be isolated from a heterogeneous population of cells including leukemia stem cells.


A. Obtaining Biological Samples Containing Cancer Stem Cells


The present invention provides a method for selecting and/or isolating cancer stem cells from a biological sample or a cell culture sample. Any biological sample obtained from a subject having cancer or suspected of having cancer can be used. The subject can have a hematologic malignancy, bladder cancer, neuroblastoma, glioblastoma, melanoma, breast cancer, colon cancer, ovarian cancer, pancreatic cancer, prostate cancer, and other solid tumor cancers.


In some instances, the hematologic malignancy is selected from acute lymphoblastic leukemia (ALL), acute myeloid leukemia (AML), chronic lymphocytic leukemia (CLL), chronic myeloid leukemia (CML), acute monocytic leukemia, Hodgkin's lymphomas, non-Hodgkin's lymphomas, multiple myeloma, myeloproliferative neoplasms, myeloid and lymphoid neoplasms associated with eosinophilia, myelodysplastic/myeloproliferative neoplasms, myelodysplastic syndrome, neoplasms related to AML, acute leukemias of ambiguous lineage, precursor B-cell neoplasms, mature B-cell neoplasms, precursor T-cell neoplasms, mature T-cell neoplasms, mast cell diseases, histiocytic sarcoma, dendritic cell neoplasms, posttransplantation lymphoproliferative disorders, and a combination thereof. Without limitations, hematologic malignancies can be mature B-cell neoplasms, e.g., small lymphocytic lymphoma, B-cell prolymphocytic leukemia, splenic marginal zone lymphoma, hairy cell leukemia, splenic lymphoma/leukemia, lymphoplasmytic lymphoma, heavy chain diseases, plasma cell myeloma, solitary plasmacytoma of bone, extraosseous plasmacytoma, MALT lymphoma, nodal marginal zone lymphoma, follicular lymphoma, primary cutaneous follicle center lymphoma, mantle cell lymphoma, diffuse large B-cell lymphoma (DLBCL), DLBCL associated with chromic inflammation, lymphomatoid granulomatosis, primary mediastinal large B-cell lymphoma, ALK-positive large B-cell lymphoma, intravascular large B-cell lymphoma, plasmablastic lymphoma, primary effusion lymphoma, Burkitt lymphoma/leukemia, and B-cell lymphoma, mature T-cell and NK-cell neoplasms, e.g., T-cell prolymphocytic leukemia, T-cell large granular lymphocytic leukemia, chronic lymphoproliferative disorder of NK cells, aggressive NK-cell leukemia, systemic EBV-positive T-cell lymphoproliferative disease of childhood, hydroa vacciniforme-like lymphoma, adult t-cell leukemia/lymphoma, extranodal NK-T-cell lymphoma, enteropathy-associated T-cell lymphoma, hepatosplenic T-cell lymphoma, subcutaneous panniculitis-like T-cell lymphoma, mycosis fungoides, Sezary syndrome, primary cutaneous CD30+ T-cell lymphoproliferative disorders, primary cutaneous γδT-cell lymphoma, primary cutaneous CD8+ aggressive epidermotropic cytotoxic T-cell lymphoma, primary cutaneous CD4+ small/medium T-cell lymphoma, peripheral T-cell lymphoma, angioimmunoblastic T-cell lymphoma, and anaplastic large cell lymphoma, Hodgkin's lymphomas, e.g., nodular lymphocyte predominant Hodgkin lymphoma, classical Hodgkin lymphoma, nodular sclerosis classical Hodgkin lymphoma, lymphocyte-rich classical Hodgkin lymphoma, mixed cellularity classical Hodgkin lymphoma, and lymphocyte-depleted classical Hodgkin lymphoma, histiocytic and dendritic cell neoplasms, e.g., histiocytic sarcoma, Langerhans cell histiocytosis, interdigitating dendritic cell sarcoma, follicular dendritic cell sarcoma, fibroblastic reticular cell tumor, intermediate dendritic cell tumor, and disseminated juvenile xanthogranuloma, posttransplantation lymphoproliferative disorders (PTLDs), e.g., early lesions, polymorphic PTLD, monomorphic PTLD, and classical Hodgkin lymphoma type PTLD, myeloproliferative neoplasms, e.g., chronic myelogenous leukemia, chronic neutrophilic leukemia, polycythemia vera, primary myelofibrosis, essential thrombocytemia, chronic eosinophilic leukemia, mastocytosis, and unclassifiable myeloproliferative neoplasms, myeloid and lymphoid neoplasms associated with eosinophilia, e.g., myeloid and lymphoid neoplasms associated with PDGRA rearrangement, myeloid neoplasms associated with PDGRB rearrangement, and myeloid and lymphoid neoplasms associated with FGFR1 abnormalities, myelodysplastic/myeloproliferative neoplasms, e.g., chronic myelomonocytic leukemia, atypical chronic myelomonocytic leukemia, juvenile myelomonocytic leukemia, and unclassifiable myelodysplastic/myeloproliferative neoplasms, myelodysplastic syndrome (MDS), e.g., refractory cytopenia with unilineage dysplasia, refractory anemia with ring sideroblasts, refractory cytopenia with multilineage dysplasia, refractory anemia with excess blasts, myelodysplastic syndrome with isolated del(5q), unclassifiable my elodysplastic syndrome, and childhood myelodysplastic syndrome, neoplasms related to AML, e.g., therapy-related myeloid neoplasms, myeloid sarcoma, myeloid proliferations reated to Down syndrome, and blastic plasmacytoid dendritic cell neoplasm, and acute leukemias of ambiguous lineage, e.g., acute undifferentiated leukemia and mixed phenotype acute leukemias.


In certain instances, a subject having acute lymphoblastic leukemia (ALL) can have B-cell ALL (e.g., precursor B cell ALL and mature B cell ALL) or T-cell ALL (e.g., precursor T cell ALL or mature T cell ALL).


Biological samples for use in the present invention may be obtained from a variety of sources, particularly blood, plasma, or serum. In some instances, samples such as bone marrow, lymph, cerebrospinal fluid, synovial fluid, a tumor biopsy, a tissue biopsy, a fine needle aspirate, circulating tumor cells, and the like may be used. For instance, a biological sample such as a neuroblastoma cell, blood, plasma, serum, a circulating tumor cell, a bone marrow aspirate, a tissue biopsy, a tumor biopsy, or a fine needle aspirate can be obtained from a subject with neuroblastoma. Such biological samples can be processed by centrifugation, elutriation, density gradient separation, apheresis, affinity selection, panning, FACS, centrifugation with Hypaque, etc. In some embodiments, a mononuclear fraction of a bone marrow cell sample, such as peripheral blood mononuclear cells (PBMC) can be isolated.


Once a sample is obtained, it can be used directly, frozen, or maintained in appropriate culture medium for short periods of time. Various media can be employed to maintain cells. The samples may be obtained by any convenient procedure, such as the drawing of blood, venipuncture, biopsy, or the like. In some instances, the cells of a sample are maintained under conditions that do not induce proliferation or growth. For example, the cells may be maintained in a medium or buffer that lacks one or more components that are needed for cell growth.


The samples can be from human patients, although animal models may find use, e.g., equine, bovine, porcine, canine, feline, rodent, e.g., mice, rats, hamster, primate, etc. Optionally, samples can be obtained from xenograft mouse models.


The biological sample for use in the methods provided herein can be a cell culture sample. Such a sample, includes, but is not limited to, an immortalized cancer cell line, a cell line derived from cells obtained from a patient with cancer, a modified cancer cell line, a mutated cancer cell line, an in vitro culture of cell derived from a patient with cancer, and the like. The cell culture sample can be a cell line generated from a patient having any of the cancers described herein, including a hematologic malignancy. These and other cancer cell lines can be purchased from, for example, ATCC (Manassas, Va.). In some embodiments, the cell culture sample includes cancer cells that have been 1) taken from a patient with cancer, 2) xenografted into an immuno-deficient animal, and 3) harvested from the xenograft animal with cancer.


Non-limiting examples of cell culture samples include ALL cell lines (e.g., pre-B ALL cell lines, mature B ALL cell lines, pre-T ALL cell lines, and mature T ALL cell lines), AML cell lines, CML cell lines, cell lines derived from other types of leukemia, lymphoma cell lines, myeloma cell lines, neuroblastoma cell lines, glioblastoma cell lines, melanoma cell lines, breast cancer cell lines, colon cancer cell lines, pancreatic cancer cell lines, prostate cancer cell lines, and other cell lines obtained (derived) from a solid tumor cancer. Useful cell lines for ALL include Jurkat cells, Reh cells, JM1 cells, and MOLT4 cells; for AML or CML include K562 cells; and for neuroblastoma include SK-N-BE cells, SK-N-DZ cells, IRM32 cells, SK-N-SH cells, and SH-SY5Y cells. Other useful neuroblastoma cell lines include, but are not limited to, BE(2)-C, BE(2)-M17, CHP-212, IMR-32, NB-EBc1, NB-1643, LA-N-5, LA-N-6, SK-N-BE(1), SK-N-BE(2), SK-N-AS, SK-N-DZ, SK-N-FI, SK-N-MC, SK-N-RA, SK-N-SH, SMS-KCN, SMS-KCNR, SMS-KAN, SMS-KANR, CLB-BerLud1, and CLB-BerLud2. A neuroblastoma cell line can be generated from cancer cells obtained from a patient with neuroblastoma.


Standard methods for maintaining, culturing, and expanding the cell culture sample are known by those skilled in the art. See, e.g., Davis, John, ed. Animal Cell Culture. Hoboken, N.J.: Wiley-Blackwell, 2011 and Helgasonm, C. D. and Miller, C. L., eds. Basic Cell Culture Protocols. New York City, N.Y.: Humana Press, 2005. An appropriate solution may be used for dispersion or suspension of the cell sample. Such solution will generally be a balanced salt solution, e.g., normal saline, PBS, Hank's balanced salt solution, etc., conveniently supplemented with fetal calf serum or other naturally occurring factors, in conjunction with an acceptable buffer at low concentration, generally from 5-25 mM. Convenient buffers include HEPES, phosphate buffers, lactate buffers, etc.


In addition, cell culture samples can be cultured in a serum-free stem cell culture medium under an adherent or floating culture condition. Alternatively, the cells can be spheroid-cultured, and then cultured in a serum-free stem cell culture medium under an adherent or floating culture condition. Alternatively, the cells can be grafted and passaged in non-human animals, and then cultured in a serum-free stem cell culture medium under an adherent or floating culture condition. For example, the cell culture sample can be grafted and passaged in an immuno-deficient animal, e.g., a NOD/SCID/IL2Rγ null (NSG) mouse, and cultured in a serum-free stem cell culture medium under an adherent or suspension culture condition in order to prepare a xenografted cancer cell line containing cancer stem cells. In some embodiments, the isolated cancer stem cells are enriched or expanded in an in vitro cell culture system or in a xenografted animal model.


B. Selecting and Isolating Cancer Stem Cells


The inventors have surprisingly discovered that cancer stem cells, including leukemia stem cells, bladder cancer stem cells, neuroblastoma stem cells, glioblastoma stem cells, melanoma stem cells, breast cancer stem cells, colon cancer stem cells, ovarian cancer stem cells, pancreatic cancer stem cells, prostate cancer stem cells, and cancer stem cells from other solid tumor cancers, can be identified in a heterogeneous population of cancer cells after the leukemic cells are incubated with a fluorescent glucose analog, e.g., 2-(N-(7-nitrobenz-2-oxa-1,3-diazol-4-yl)amino-2-deoxyglucose (2-NBDG) and the like. The cancer stem cells have a lower (reduced, decreased or diminished) level of fluorescence from a fluorescent glucose analog, e.g., 2-NBDG, compared to other cancer cells in the mixed population. In some embodiments, the level of fluorescence of a cancer stem cell from, e.g., 2-NBDG treatment is at least about 1-log, e.g., at least about 1-log, at least about 2-log, at least about 3-log, at least about 4-log, or at least about 5-log lower compared to the non-cancer stem cells in the sample. A cancer stem cell can have about 2-log lower fluorescence from, e.g., 2-NBDG than a corresponding cancer cell that is not a cancer stem cell. In some cases, the level of fluorescence (mean fluorescence intensity) from a fluorescent glucose analog is measured to be at least 10× lower in a cancer stem cell compared to a non-cancer stem cell.


In some embodiments, cancer stem cells have a higher level of 2-NBDG fluorescence compared to unstained control cells. For instance, cancer stem cells can have at least about 1-log, e.g., at least about 1-log, at least about 2-log, at least about 3-log, at least about 4-log, or at least about 5-log higher compared to unstained cancer cells, e.g., cancer cells that have not been incubated with a fluorescent glucose analog.


Other fluorescent glucose analogs that can be used in the present invention include, but are not limited to, 2-(N-(7-nitrobenz-2-oxa-1,3-diazol-4-yl)amino-2-deoxyglucose (2-NBDG; Life Technologies, Carlsbad, Calif.; Yoshioka et al., Biochim Biophys Act, 1996, 1289:5-9), 6-deoxy-N-(7-nitrobenz-2-oxa-1,3-diazol-4-yl)aminoglucose (6-NBDG; Life Technologies; Speizer et al., Biochim Biophys Act, 1985, 815:75-84); pyropheophorbide 2-deoxyglucoseamide (pyro-2DG; Cheng et al., Bioconjug Chem, 2006, 17:662-669), Cy5.5-D-glucosamine (Cy5.5-2DG; Zhang et al., Bioconjug Chem, 2003, 14:709-714), Cy3-linked O-1-glycosylated glucose (Cy3-α-glucose and Cy3-β-glucose; U.S. Pat. No. 8,679,854; Park et al., Angew Chem Int Ed Engl, 2007, 46:2018-2022), IRDye 800CW 2-DG (LI-COR Biosciences, Lincoln, Nebr.); CyNE 2-DG (Vendrell et al., Org Biomol Chem, 2011, 9:4760-4762), GB3-Cy3 (Lee et al., Chemistry, 2011, 17:413-450), two-photon glucose analogs (AG1 and AG2; Tian et al., Angew Chem Int Ed Engl, 2009, 48:8027-8031), pyrindine 4,7-diphenyl-1,10-phenanthroline (Ph2-phen)rhenium(I) polypyridine glucose complex (Wani et al., J Am Chem Soc, 1971, 93:2325-2327), 4,4′,4″-tris(4-(2-(4-(benzo-[d]triazol-2-yl)phenyl)-9-9′-bis(6-thiol-β-D-glucose)-hexyl)-fluoren-7-yl)phenylamine (TFBS; Wang et al., Chem Mater, 2011, 23:4428-4434), analogs thereof, and derivatives thereof. Additional useful fluorescent-tagged glucose analogs are described in, e.g., Kim et al., Sensors, 2012, 12:5005-5027.


In some embodiments, the biological sample or cell culture sample is treated or incubated with a fluorescent glucose analog in vivo or ex vivo. In some embodiments of ex vivo treatment, the fluorescent glucose analog is added to the sample at a concentration of about 0.1 μM to about 100 μM, e.g., about 0.1 μM to 50 μM, about 50 μM to 100 μM, 0.1 μM to 25 μM, 0.1 μM to 10 μM, 1 μM to 100 μM, 1 μM to 50 μM, 25 μM to 75 μM, 50 μM to 75 μM, or 75 μM to 100 μM. In some instances, the sample is incubated with the fluorescent glucose analog for at least 15 minutes, e.g., at least 15 minutes, 20 minutes, 30 minutes, 40 minutes, 50 minutes, 60 minutes or more, at room temperature or at 21°-37° C. In some cases, an effective amount of fluorescent glucose analog is incubated with the sample at a specific temperature for a specific amount of time in order for a cell (e.g., a non-cancer stem cell) of the sample to take up or internalize the analog.


In some embodiments, the biological sample obtained from a subject is not cultured or expanded before incubating the sample with a fluorescent glucose analog. For instance, the cells of the biological sample are maintained in a culture medium or buffer that does not promote or initiate cell growth or proliferation. The culture medium or buffer can retain or conserve the viability of the cells. The biological sample can be maintained in a culture medium that is free of glucose.


In some embodiments, the biological sample or cell culture sample is also stained with a fluorescent antibody that binds to an antigen on the cells and/or another fluorescent stain, such as 4′,6-diamidino-2-phenylindole (DAPI). In some embodiments, the fluorescent antibody is an anti-human leukocyte antigen (HLA) antibody labeled with a fluorochrome, e.g., allophycocyanin (APC).


The cancer stem cells, such as 2-NBDG low fluorescing cancer cells, can be identified in a heterogeneous population of cancer cells using standard methods known to those skilled in the art, such as flow cytometry, immunocytochemistry, fluorescence microscopy, whole animal imaging, and the like. For instance, any method for detecting the presence of a fluorescent cell in vitro or in vivo may be used in the present invention. In some embodiments, the level of fluorescence is measured using flow cytometry.


The cancer stem cells can be isolated from a sample using standard methods known to those in the art, such as cell sorting. Non-limiting examples of cell sorting include fluorescence-activated cell sorting (FACS), single cell sorting, for example, based on intracellular and extracellular properties, and magnetic cell sorting, such as MACS (Meltenyi Biotec), Dynabeads (Life Technologies, Carlsbad, Calif.), BD IMag™ (BD Biosciences, San Jose, Calif.) and the EasySep™ (StemCell Technologies, Vancouver, BC). In some embodiments, the method of isolating cancer stem cell including leukemia stem cells from a patient-derived sample or a cell line sample includes FACS.


The isolated cancer stem cells may be collected in any appropriate medium that maintains the viability of the cells, usually medium containing serum. Various media are commercially available and may be used according to the nature of the cells, including DMEM, HBSS, DPBS, RPMI, Iscove's medium, etc., frequently supplemented with fetal calf serum.


C. Detecting Cancer Stem Cell Markers


The present invention also relates to determining the expression level of one or more cancer stem cell markers in a selected cancer stem cell. Thus, RNA or protein may be extracted from the cancer stem cell. Methods for extracting nucleic acids, e.g., RNA are well known to those skilled in the art. General methods of RNA isolation and protein extraction (e.g., described by Sambrook and Russell, ed. Molecular Cloning: A Laboratory Manual 3d, 2001 and Ausubel et al., eds. Current Protocols in Molecular Biology, 1994) can be followed. Various commercially available reagents or kits, such as Trizol® reagent (Invitrogen, Carlsbad, Calif.), Oligotex Direct mRNA Kits (Qiagen, Valencia, Calif.), RNeasy Mini Kits (Qiagen, Hilden, Germany), and PolyATtract® Series 9600™ (Promega, Madison, Wis.), may also be used to obtain RNA from a cell. PCR reagents and protocols are also available from commercial vendors, such as Roche Molecular Systems, Life Technologies, Bio-Rad, and the like.


In some embodiments, the expression levels of RNA, or amplified or cloned versions thereof, are determined by a hybridization-based assay, such as, but not limited to, solution phase, solid phase, or mixed phase hybridization assays. The following articles provide an overview of the various hybridization assay formats: Singer et al., Biotechniques 4:230, 1986; Haase et al., Methods in Virology, pp. 189-226, 1984; Wilkinson, In situ Hybridization, Wilkinson ed., IRL Press, Oxford University Press, Oxford; and Hames and Higgins eds., Nucleic Acid Hybridization: A Practical Approach, IRL Press, 1987. Non-limiting examples of a hybridization assay include Northern blotting, in situ hybridization, microarray,


In some embodiments, the expression levels of mRNA are determined by a PCR-based method or variations thereof, such as, but not limited to, quantitative PCR, reverse transcription PCR (RT-PCR), real-time PCR, and quantitative reverse transcription PCR (qRT-PCR). The general methods of PCR and variants thereof are well known in the art and are thus not described in detail herein. For a review of PCR methods, protocols, and principles in designing primers, see, e.g., Innis, et al., PCR Protocols: A Guide to Methods and Applications, Academic Press, Inc. N.Y., 1990.


Prior to the amplification step, a DNA copy (cDNA) of the RNA transcript of interest must be synthesized. This can be performed by reverse transcription, which can be carried out as a separate step, or in a homogeneous reverse transcription-polymerase chain reaction (RT-PCR), a modification of the PCR for amplifying RNA. Methods suitable for PCR amplification of RNA are described by Romero and Rotbart in Diagnostic Molecular Biology: Principles and Applications, pp. 401-406; Persing et al., eds., Mayo Foundation, Rochester, Minn., 1993; Egger et al., J. Clin. Microbiol., 1995, 33:1442-1447; and U.S. Pat. No. 5,075,212


In other embodiments, the expression level of a cancer stem cell marker, e.g., a leukemia stem cell marker, can be determined by analyzing protein expression. Useful methods include, but are not limited to, SDS-PAGE, western blotting, immunocytochemistry, an enzyme linked immunosorbent assay (ELISA), mass spectroscopy, immune-PCR, FACS and protein microarrays.


In some embodiments, the expression level of one or more leukemia stem cell markers described herein is determined using a single-cell gene expression method. Useful examples of such technology include Fluidigm's single-cell gene expression system (e.g., C1™ Single-Cell Auto Prep System and BioMark™ HD System), nCounter® Single Cell Gene Expression Array (NanoString, Seattle, Wash.), and Life Technologies' Single Cell Analysis workflow (e.g., Ambion® Single Cell-to-CT™ kit and TaqMan® Assays).


In some embodiments, the methods provided herein include measuring or detecting the expression level of at least one leukemia stem cell marker of Table 1, e.g., at least 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, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, or 121 leukemia stem cell markers of Table 1 in a cell (e.g., a test cell). In other words, the methods include measuring the expression level of 1 to 121 different leukemia stem cell markers set forth in Table 1 including housekeeping genes and long intergenic non-coding RNAs (lincRNAs) in a cell. In some embodiments, the cell has a low level of 2-NBDG fluorescence compared to a differentiated cancer cell. In other embodiments, the cell is suspected of being a cancer stem cell, e.g., a leukemia stem cell.


In some embodiments, the expression level of the leukemia stem cell marker No. 1, No. 2, No. 3, No. 4, No. 5, No. 6, No. 7, No. 8, No. 9, No. 10, No. 11, No. 12, No. 13, No. 14, No. 15, No. 16, No. 17, No. 18, No. 19, No. 20, No. 21, No. 22, No. 23, No. 24, No. 25, No. 26, No. 27, No. 28, No. 29, No. 30, 31, No. 32, No. 33, No. 34, No. 35, No. 36, No. 37, No. 38, No. 39, No. 40, No. 41, No. 42, No. 43, No. 44, No. 45, No. 46, No. 47, No. 48, No. 49, No. 50, No. 51, No. 52, No. 53, No. 54, No. 55, No. 56, No. 57, No. 58, No. 59, No. 60, No. 61, No. 62, No. 63, No. 64, No. 65, No. 66, No. 67, No. 68, No. 69, No. 70, No. 71, No. 72, No. 73, No. 74, No. 75, No. 76, No. 77, No. 78, No. 79, No. 80, No. 81, No. 82, No. 83, No. 84, No. 85, No. 86, No. 87, No. 88, No. 89, No. 90, No. 91, No. 92, No. 93, No. 94, No. 95, No. 96, No. 97, No. 98, No. 99, No. 100, No. 101, No. 102, No. 103, No. 104, No. 105, No. 106, No. 107, No. 108, No. 109, No. 110, No. 111, No. 112, No. 113, No. 114, No. 115, No. 116, No. 117, No. 118, No. 119, No. 120, or No. 121 of Table 1, or any combination thereof is measured in a cell (e.g., a test cell) from a sample comprising leukemia stem cells and non-leukemia stem cells.









TABLE 1







121 Leukemia Stem Cell Markers











Leukemia stem cell marker
NCBI Ref. Seq. No.



No.
(gene or lincRNA)
or Other Ref. No.
Full Name













1
AACS
NM_023928
acetoacetyl-CoA synthetase


2
ANGPTL2
NM_012098.2
angiopoietin-like 2


3
ARHGAP23
NM_001199417
Rho GTPase activating protein 23


4
ATP2A3
NM_174953.1| NM_174954.1|
ATPase, Ca++ transporting, ubiquitous




NM_174955.1| NM_174956.1|




NM_174958.1| NM_174957.1|




NM_005173.2


5
ATP6V1C2
NM_144583.3|
ATPase, H+ transporting, lysosomal




NM_001039362.1
42 kDa, V1 subunit C2


6
ATPAF1
NM_001042546| NM_022745|
ATP synthase mitochondrial F1 complex




NM_001243728|
assembly factor 1




NM_001256418


7
C21orf128
NR_027243
chromosome 21 open reading frame 128


8
C2CD3
NM_015531.4
C2 calcium-dependent domain containing 3


9
C5orf58
NM_001102609.1
chromosome 5 open reading frame 58


10
CD3G
NM_000073
CD3g molecule, gamma (CD3-TCR





complex)


11
CD58
NR_026665.1| NM_001779.2|
CD58 molecule




NM_001144822.1


12
CDKN2A
NM_058197| NM_058195|
cyclin-dependent kinase inhibitor 2A




NM_000077| NM_001195132


13
COX6A1
NM_004373
cytochrome c oxidase subunit VIa





polypeptide 1


14
COX7A2
NR_029466.1| NM_001865.3
cytochrome c oxidase subunit VIIa





polypeptide 2 (liver)


15
CRAT
NM_001257363| NM_000755
carnitine O-acetyltransferase


16
CTSZ
NM_001336.3
cathepsin Z


17
CYB5RL
NM_001031672.2
cytochrome b5 reductase-like


18
DDX11
NM_004399| NM_001257144|
DEAD/H (Asp-Glu-Ala-Asp/His) box




NM_152438| NM_030653|
helicase 11




NM_001257145


19
ELMO2
NM_133171.3| NM_182764.1
engulfment and cell motility 2


20
ERVMER34-1
NM_024534| NM_001242690
endogenous retrovirus group MER34,





member 1


21
EXOC2
NM_018303.4
exocyst complex component 2


22
FAM53C
NM_016605.2|
family with sequence similarity 53,




NM_001135647.1
member C


23
FCRL5
NM_001195388| NM_031281
Fc receptor-like 5


24
FIG4
NM_014845.5
FIG4 homolog, SAC1 lipid phosphatase





domain containing (S. cerevisiae)


25
FKBP2
NM_001135208.1|
FK506 binding protein 2, 13 kDa




NM_057092.2| NM_004470.3


26
FLJ13224
NR_026806
uncharacterized LOC79857


27
FMR1NB
NM_152578.2
fragile X mental retardation 1 neighbor


28
GLA
NM_000169.2
galactosidase, alpha


29
HIF3A
NM_152796| NM_152794|
hypoxia inducible factor 3, alpha subunit




NM_022462| NM_152795


30
HIST1H2AC
NM_003512.3
histone cluster 1, H2ac


31
HIST1H3H
NM_003536.2
histone cluster 1, H3h


32
HIST3H2A
NM_033445
histone cluster 3, H2a


33
HIST4H4
NM_175054.2
histone cluster 4, H4


34
HLA-A
NM_002116
major histocompatibility complex, class I,





A


35
HMMR
NM_012485.2| NM_012484.2|
hyaluronan-mediated motility receptor




NM_001142557.1|
(RHAMM)




NM_001142556.1


36
IL4
NM_172348.1| NM_000589.2
interleukin 4


37
KAZALD1
NM_030929.4
Kazal-type serine peptidase inhibitor





domain 1


38
KRTAP3-3
NM_033185
keratin associated protein 3-3


39
KRTAP4-11
NM_033059
keratin associated protein 4-11


40
LOC100130539
NM_001258000
uncharacterized LOC100130539


41
LOC440900
NR_034128


42
LOC644656
NR_036539
uncharacterized LOC644656


43
LRRC2
NM_024512.3
leucine rich repeat containing 2


44
LY96
NM_015364| NM_001195797
lymphocyte antigen 96


45
MALAT1
NR_002819
metastasis associated lung





adenocarcinoma transcript 1 (non-protein





coding)


46
MIR17HG
NR_027350| NR_027349
miR-17-92 cluster host gene (non-protein





coding)


47
MTPN
NM_145808| NM_001128619
myotrophin


48
NDUFB9
NM_005005.2
NADH dehydrogenase (ubiquinone) 1





beta subcomplex, 9, 22 kDa


49
NUPL1
NM_014089.3|
nucleoporin like 1




NM_001008564.1


50
ODF3L2
NM_182577.2
outer dense fiber of sperm tails 3-like 2


51
OR5L2
NM_001004739.1
olfactory receptor, family 5, subfamily L,





member 2


52
ORMDL2
NM_014182
ORM1-like 2 (S. cerevisiae)


53
P2RX3
NM_002559.2
purinergic receptor P2X, ligand-gated ion





channel, 3


54
PFN1P2
NR_003242
profilin 1 pseudogene 2


55
PLEKHG6
NM_001144857.1|
pleckstrin homology domain containing,




NM_001144856.1|
family G (with RhoGef domain) member




NM_018173.3
6


56
POLE
NM_006231
polymerase (DNA directed), epsilon,





catalytic subunit


57
RAI1
NM_030665.3
retinoic acid induced 1


58
RBM23
NM_018107| NM_001077352|
RNA binding motif protein 23




NM_001077351


59
REEP4
NM_025232.2
receptor accessory protein 4


60
RELL1
NM_001085400.1|
RELT-like 1




NM_001085399.1


61
RIMS3
NM_014747.2
regulating synaptic membrane exocytosis 3


62
NAPSA
NM_004851.1
napsin A aspartic peptidase


63
PIGL
NM_004278.3
phosphatidylinositol glycan anchor





biosynthesis, class L


64
RNASE13
NM_001012264.3
ribonuclease, RNase A family, 13 (non-





active)


65
RNU12
NR_029422
RNA, U12 small nuclear


66
RNU4ATAC
NR_023343
RNA, U4atac small nuclear (U12-





dependent splicing)


67
RPS27
NM_001030
ribosomal protein S27


68
SCARNA2
NR_003023
small Cajal body-specific RNA 2


69
SCARNA5
NR_003008
small Cajal body-specific RNA 5


70
SCARNA7
NR_003001
small Cajal body-specific RNA 7


71
SEC16A
NM_014866.1
SEC16 homolog A (S. cerevisiae)


72
SFT2D2
NM_199344.2
SFT2 domain containing 2


73
SMAD2
NM_001135937.1|
SMAD family member 2




NM_001003652.2|




NM_005901.4


74
SNORA12
NR_002954
small nucleolar RNA, H/ACA box 12


75
SNORA26
NR_003016
small nucleolar RNA, H/ACA box 26


76
SNORA53
NR_003015
small nucleolar RNA, H/ACA box 53


77
SNORA74A
NR_002915
small nucleolar RNA, H/ACA box 74A


78
SNORA81

small nucleolar RNA, H/ACA box 81


79
SON
NM_138927.1| NM_032195.1
SON DNA binding protein


80
SPATA21
NM_198546.1
spermatogenesis associated 21


81
TBC1D10B
NM_015527
TBC1 domain family, member 10B


82
TBL1XR1
NM_024665
transducin (beta)-like 1 X-linked receptor





1


83
TBXAS1
NM_030984| NM_001166254|
thromboxane A synthase 1 (platelet)




NR_029394| NM_001061|




NM_001130966|




NM_001166253


84
TDG
NM_003211
thymine-DNA glycosylase


85
TNIK
NM_001161563|
TRAF2 and NCK interacting kinase




NM_001161564| NM_015028|




NM_001161560|




NM_001161565|




NM_001161566|




NM_001161561|




NM_001161562


86
TP53INP2
NM_021202
tumor protein p53 inducible nuclear





protein 2


87
UBAP2
NM_018449.2
ubiquitin associated protein 2


88
ZNF28
NM_006969.3
zinc finger protein 28


89
ACTB
NM_001101
actin, beta


90
B2M
NM_004048
beta-2-microglobulin


91
GAPDH
NM_002046| NM_001256799
glyceraldehyde-3-phosphate





dehydrogenase


92
HSP90AB1
NM_007355
heat shock protein 90 kDa alpha





(cytosolic), class B member 1


93
TFRC
NM_001128148.1
transferrin receptor


94
lincRNA_chr4_5357
FLDM-001190.1



8686_53579392_fs


95
lincRNA_chr15_253
FLDM-011186.1



32807_25334252_fs


96
lincRNA_chr1_1813
FLDM-016084.1



09852_fs


97
lincRNA_chrX_135
FLDM-019205.1



943809_fs


98
lincRNA_chr4_9317
FLDM-022186.1



5777_fs


99
lincRNA_chr8_9629
FLDM-024342.1



7524_rs


100
lincRNA_chr5_1247
FLDM-027364.1



38151_fs


101
lincRNA_chr14_587
FLDM-027392.1



44247_fs


102
lincRNA_chr6_8638
FLDM-027788.1



7044_86387458_rs


103
lincRNA_chr4_5357
FLDM-031124.1



8995_53580281_rs


104
lincRNA_chr11_394
FLDM-034475.1



99974_fs


105
lincRNA_chr20_370
FLDM-034919.1



49663_fs


106
lincRNA_chr8_9598
FLDM-035148.1



6835_rs


107
lincRNA_chrX_712
FLDM-035295.1



28400_fs


108
lincRNA_chr1_2473
FLDM-045403.1



54094_fs


109
lincRNA_chr4_7646
FLDM-046986.1



0401_rs


110
lincRNA_chr21_394
FLDM-053935.1



95505_rs


111
lincRNA_chr5_1676
FLDM-057291.1



92897_fs


112
lincRNA_chr5_4301
FLDM-069219.1



1418_fs


113
lincRNA_chr21_447
FLDM-072295.1



80472_fs


114
lincRNA_chr12_537
FLDM-076543.1



7839_rs


115
lincRNA_chr4_7437
FLDM-081164.1



5927_rs


116
lincRNA_chr8_3277
FLDM-083295.1



2708_fs


117
lincRNA_chr9_2535
FLDM-083903.1



653_fs


118
lincRNA_chr9_2683
FLDM-084763.1



000_fs


119
lincRNA_chrX_711
FLDM-089529.1



32475_rs


120
lincRNA_chr15_585
FLDM-093281.1



06416_rs


121
lincRNA_chr10_134
FLDM-094803.1



136360_fs









In some embodiments, the methods provided herein include measuring or detecting the expression level of at least one leukemia stem cell marker of Table 2, e.g., at least 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, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, or 93 leukemia stem cell markers of Table 2. For instance, 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, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, or all of the leukemia stem cell markers of Table 2 including the housekeeping genes and lincRNAs are measured in a cell.


In some embodiments, the expression level of the leukemia stem cell marker No. 1, No. 2, No. 3, No. 4, No. 5, No. 6, No. 7, No. 8, No. 9, No. 10, No. 11, No. 12, No. 13, No. 14, No. 15, No. 16, No. 17, No. 18, No. 19, No. 20, No. 21, No. 22, No. 23, No. 24, No. 25, No. 26, No. 27, No. 28, No. 29, No. 30, 31, No. 32, No. 33, No. 34, No. 35, No. 36, No. 37, No. 38, No. 39, No. 40, No. 41, No. 42, No. 43, No. 44, No. 45, No. 46, No. 47, No. 48, No. 49, No. 50, No. 51, No. 52, No. 53, No. 54, No. 55, No. 56, No. 57, No. 58, No. 59, No. 60, No. 61, No. 62, No. 63, No. 64, No. 65, No. 66, No. 67, No. 68, No. 69, No. 70, No. 71, No. 72, No. 73, No. 74, No. 75, No. 76, No. 77, No. 78, No. 79, No. 80, No. 81, No. 82, No. 83, No. 84, No. 85, No. 86, No. 87, No. 88, No. 89, No. 90, No. 91, No. 92, or No. 93 of Table 2, or any combination of the markers in Table 2, is measured in a cell (e.g., a test cell) from a sample comprising leukemia stem cells and non-leukemia stem cells.


In some embodiments, the expression level of one or more human large intergenic non-coding RNAs (lincRNAs) of Table 2, e.g., 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 or 28 are determined in the sample. In some instances, the expression level of the lincRNA No. 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 or 28 of Table 2, or any combination thereof is measured in a cell from the sample that includes leukemia stem cells and non-leukemia stem cells.









TABLE 2







93 Leukemia Stem Cell Markers











Leukemia stem cell marker
NCBI Ref. Seq. No.



No.
(gene or lincRNA)
or Other Ref. No.
Full Name













1
AACS
NM_023928
acetoacetyl-CoA synthetase


2
ANGPTL2
NM_012098.2
angiopoietin-like 2


3
ARHGAP23
NM_001199417
Rho GTPase activating protein 23


4
ATP2A3
NM_174953.1| NM_174954.1|
ATPase, Ca++ transporting,




NM_174955.1| NM_174956.1|
ubiquitous




NM_174958.1| NM_174957.1|




NM_005173.2


5
ATP6V1C2
NM_144583.3| NM_001039362.1
ATPase, H+ transporting, lysosomal





42 kDa, V1 subunit C2


6
ATPAF1
NM_001042546| NM_022745|
ATP synthase mitochondrial F1




NM_001243728| NM_001256418
complex assembly factor 1


7
C21orf128
NR_027243
chromosome 21 open reading frame





128


8
C2CD3
NM_015531.4
C2 calcium-dependent domain





containing 3


9
C5orf58
NM_001102609.1
chromosome 5 open reading frame





58


10
CD3G
NM_000073
CD3g molecule, gamma (CD3-TCR





complex)


11
CD58
NR_026665.1| NM_001779.2|
CD58 molecule




NM_001144822.1


12
CDKN2A
NM_058197| NM_058195|
cyclin-dependent kinase inhibitor 2A




NM_000077| NM_001195132


13
COX6A1
NM_004373
cytochrome c oxidase subunit VIa





polypeptide 1


14
COX7A2
NR_029466.1| NM_001865.3
cytochrome c oxidase subunit VIIa





polypeptide 2 (liver)


15
CRAT
NM_001257363| NM_000755
carnitine O-acetyltransferase


16
CTSZ
NM_001336.3
cathepsin Z


17
CYB5RL
NM_001031672.2
cytochrome b5 reductase-like


18
DDX11
NM_004399| NM_001257144|
DEAD/H (Asp-Glu-Ala-Asp/His)




NM_152438| NM_030653|
box helicase 11




NM_001257145


19
ELMO2
NM_133171.3| NM_182764.1
engulfment and cell motility 2


20
ERVMER34-1
NM_024534| NM_001242690
endogenous retrovirus group





MER34, member 1


21
EXOC2
NM_018303.4
exocyst complex component 2


22
FAM53C
NM_016605.2| NM_001135647.1
family with sequence similarity 53,





member C


23
FCRL5
NM_001195388| NM_031281
Fc receptor-like 5


24
FIG4
NM_014845.5
FIG4 homolog, SAC1 lipid





phosphatase domain containing





(S. cerevisiae)


25
FKBP2
NM_001135208.1| NM_057092.2|
FK506 binding protein 2, 13 kDa




NM_004470.3


26
FLJ13224
NR_026806
uncharacterized LOC79857


27
FMR1NB
NM_152578.2
fragile X mental retardation 1





neighbor


28
GLA
NM_000169.2
galactosidase, alpha


29
HIF3A
NM_152796| NM_152794|
hypoxia inducible factor 3, alpha




NM_022462| NM_152795
subunit


30
HIST1H2AC
NM_003512.3
histone cluster 1, H2ac


31
HIST1H3H
NM_003536.2
histone cluster 1, H3h


32
HIST3H2A
NM_033445
histone cluster 3, H2a


33
HIST4H4
NM_175054.2
histone cluster 4, H4


34
HLA-A
NM_002116
major histocompatibility complex,





class I, A


35
HMMR
NM_012485.2| NM_012484.2|
hyaluronan-mediated motility




NM_001142557.1|
receptor (RHAMM)




NM_001142556.1


36
IL4
NM_172348.1| NM_000589.2
interleukin 4


37
KAZALD1
NM_030929.4
Kazal-type serine peptidase inhibitor





domain 1


38
KRTAP3-3
NM_033185
keratin associated protein 3-3


39
KRTAP4-11
NM_033059
keratin associated protein 4-11


40
LOC100130539
NM_001258000
uncharacterized LOC100130539


41
LOC440900
NR_034128


42
LOC644656
NR_036539
uncharacterized LOC644656


43
LRRC2
NM_024512.3
leucine rich repeat containing 2


44
LY96
NM_015364| NM_001195797
lymphocyte antigen 96


45
MALAT1
NR_002819
metastasis associated lung





adenocarcinoma transcript 1 (non-





protein coding)


46
MIR17HG
NR_027350| NR_027349
miR-17-92 cluster host gene (non-





protein coding)


47
MTPN
NM_145808| NM_001128619
myotrophin


48
NDUFB9
NM_005005.2
NADH dehydrogenase (ubiquinone)





1 beta subcomplex, 9, 22 kDa


49
NUPL1
NM_014089.3| NM_001008564.1
nucleoporin like 1


50
ODF3L2
NM_182577.2
outer dense fiber of sperm tails 3-





like 2


51
OR5L2
NM_001004739.1
olfactory receptor, family 5,





subfamily L, member 2


52
ORMDL2
NM_014182
ORM1-like 2 (S. cerevisiae)


53
P2RX3
NM_002559.2
purinergic receptor P2X, ligand-





gated ion channel, 3


54
PFN1P2
NR_003242
profilin 1 pseudogene 2


55
PLEKHG6
NM_001144857.1|
pleckstrin homology domain




NM_001144856.1| NM_018173.3
containing, family G (with RhoGef





domain) member 6


56
POLE
NM_006231
polymerase (DNA directed), epsilon,





catalytic subunit


57
RAI1
NM_030665.3
retinoic acid induced 1


58
RBM23
NM_018107| NM_001077352|
RNA binding motif protein 23




NM_001077351


59
REEP4
NM_025232.2
receptor accessory protein 4


60
RELL1
NM_001085400.1|
RELT-like 1




NM_001085399.1


61
RIMS3
NM_014747.2
regulating synaptic membrane





exocytosis 3


62
ACTB
NM_001101
actin, beta


63
B2M
NM_004048
beta-2-microglobulin


64
GAPDH
NM_002046| NM_001256799
glyceraldehyde-3-phosphate





dehydrogenase


65
HSP90AB1
NM_007355
heat shock protein 90 kDa alpha





(cytosolic), class B member 1


66
lincRNA_chr4_53578
FLDM-001190.1



686_53579392_fs


67
lincRNA_chr15_2533
FLDM-011186.1



2807_25334252_fs


68
lincRNA_chr1_18130
FLDM-016084.1



9852_fs


69
lincRNA_chrX_13594
FLDM-019205.1



3809_fs


70
lincRNA_chr4_93175
FLDM-022186.1



777_fs


71
lincRNA_chr8_96297
FLDM-024342.1



524_rs


72
lincRNA_chr5_12473
FLDM-027364.1



8151_fs


73
lincRNA_chr14_5874
FLDM-027392.1



4247_fs


74
lincRNA_chr6_86387
FLDM-027788.1



044_86387458_rs


75
lincRNA_chr4_53578
FLDM-031124.1



995_53580281_rs


76
lincRNA_chr11_3949
FLDM-034475.1



9974_fs


77
lincRNA_chr20_3704
FLDM-034919.1



9663_fs


78
lincRNA_chr8_95986
FLDM-035148.1



835_rs


79
lincRNA_chrX_71228
FLDM-035295.1



400_fs


80
lincRNA_chr1_24735
FLDM-045403.1



4094_fs


81
lincRNA_chr4_76460
FLDM-046986.1



401_rs


82
lincRNA_chr21_3949
FLDM-053935.1



5505_rs


83
lincRNA_chr5_16769
FLDM-057291.1



2897_fs


84
lincRNA_chr5_43011
FLDM-069219.1



418_fs


85
lincRNA_chr21_4478
FLDM-072295.1



0472_fs


86
lincRNA_chr12_5377
FLDM-076543.1



839_rs


87
lincRNA_chr4_74375
FLDM-081164.1



927_rs


88
lincRNA_chr8_32772
FLDM-083295.1



708_fs


89
lincRNA_chr9_25356
FLDM-083903.1



53_fs


90
lincRNA_chr9_26830
FLDM-084763.1



00_fs


91
lincRNA_chrX_71132
FLDM-089529.1



475_rs


92
lincRNA_chr15_5850
FLDM-093281.1



6416_rs


93
lincRNA_chr10_1341
FLDM-094803.1



36360_fs









The leukemia stem cell can be a cancer stem cell of early pre-B-cell ALL, common ALL, pre-B-cell ALL, or mature B-cell ALL (Burkitt leukemia). In other cases, the leukemia stem cell can be a cancer stem cell of pre-T-cell ALL or mature T-cell ALL.


In some embodiments, the methods provided herein include measuring or detecting the expression level of at least one leukemia stem cell marker of Table 3, e.g., at least 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, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, or 80 leukemia stem cell markers of Table 3 in a cell (e.g., a test cell). In other words, the methods include measuring the expression level of 1 to 80 different leukemia stem cell markers set forth in Table 3. For example, 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, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, or 80 of the leukemia stem cell markers of Table 3 are measured in the cell. In some embodiments, the cell also has a low level of 2-NBDG fluorescence compared to a differentiated cancer cell. In other embodiments, the cell is suspected of being a leukemia stem cell, e.g., a B-cell acute lymphocytic leukemia stem cell.


In some embodiments, the expression level of the leukemia stem cell marker No. 1, No. 2, No. 3, No. 4, No. 5, No. 6, No. 7, No. 8, No. 9, No. 10, No. 11, No. 12, No. 13, No. 14, No. 15, No. 16, No. 17, No. 18, No. 19, No. 20, No. 21, No. 22, No. 23, No. 24, No. 25, No. 26, No. 27, No. 28, No. 29, No. 30, 31, No. 32, No. 33, No. 34, No. 35, No. 36, No. 37, No. 38, No. 39, No. 40, No. 41, No. 42, No. 43, No. 44, No. 45, No. 46, No. 47, No. 48, No. 49, No. 50, No. 51, No. 52, No. 53, No. 54, No. 55, No. 56, No. 57, No. 58, No. 59, No. 60, No. 61, No. 62, No. 63, No. 64, No. 65, No. 66, No. 67, No. 68, No. 69, No. 70, No. 71, No. 72, No. 73, No. 74, No. 75, No. 76, No. 77, No. 78, No. 79, or No. 80 of Table 3, or any combination thereof is measured in a cell (e.g., a test cell) from a sample comprising leukemia stem cells (e.g., B-cell ALL stem cells) and non-leukemia stem cells.


In some embodiments, if the level(s) of leukemia stem cell marker No. 1, No. 2, No. 3, No. 4, No. 5, No. 6, No. 7, No. 8, or No. 9 of Table 3, or any combination thereof is higher in a test cell from the sample than a non-leukemia stem cell, then the test cell is a B-cell ALL stem cell. In other words, a B-cell ALL stem cell has a higher expression level of TP53INP2, ARHGAP23, LOC100129516, SMAD2, TBL1XR1, NUPL1, SON, MTPN, TBC1D10B, or any combination thereof than a cell that is not a B-cell ALL stem cell. If the level(s) of leukemia stem cell marker No. 10, No. 11, No. 12, No. 13, No. 14, No. 15, No. 16, No. 17, No. 18, No. 19, No. 20, No. 21, No. 22, No. 23, No. 24, No. 25, No. 26, No. 27, No. 28, No. 29, No. 30, 31, No. 32, No. 33, No. 34, No. 35, No. 36, No. 37, No. 38, No. 39, No. 40, No. 41, No. 42, No. 43, No. 44, No. 45, No. 46, No. 47, No. 48, No. 49, No. 50, No. 51, No. 52, No. 53, No. 54, No. 55, No. 56, No. 57, No. 58, No. 59, No. 60, No. 61, No. 62, No. 63, No. 64, No. 65, No. 66, No. 67, No. 68, No. 69, No. 70, No. 71, No. 72, No. 73, No. 74, No. 75, No. 76, No. 77, No. 78, No. 79, or No. 80 of Table 3, or any combination thereof is lower in the test cell than a non-leukemia stem cell, the test cell is classified as a B-cell ALL stem cell.









TABLE 3







80 Leukemia Stem Cell Markers for B-cell ALL














Agilent Probe
Expression


Entrez
Genbank


No.
Name
Level
Gene Symbol
Description
GeneID
Accession No.
















1
A_24_P357465
up
TP53INP2

Homo sapiens tumor

58476
NM_021202






protein p53 inducible






nuclear protein 2






(TP53INP2), mRNA






[NM_021202]


2
A_33_P3358914
up
ARHGAP23

Homo sapiens Rho

57636
NM_001199417






GTPase activating






protein 23






(ARHGAP23),






mRNA






[NM_001199417]


3
A_32_P214284
up
LOC100129516
PREDICTED: Homo
100129516
XR_159429







sapiens







uncharacterized






LOC100129516






(LOC100129516),






misc_RNA






[XR_159429]


4
A_32_P12580
up
SMAD2

Homo sapiens

4087
NM_001003652






SMAD family






member 2 (SMAD2),






transcript variant 2,






mRNA






[NM_001003652]


5
A_23_P212552
up
TBL1XR1

Homo sapiens

79718
NM_024665






transducin (beta)-like






1 X-linked receptor 1






(TBL1XR1), mRNA






[NM_024665]


6
A_23_P390190
up
NUPL1

Homo sapiens

9818
NM_014089






nucleoporin like 1






(NUPL1), transcript






variant 1, mRNA






[NM_014089]


7
A_23_P402733
up
SON

Homo sapiens SON

6651
NM_032195






DNA binding protein






(SON), transcript






variant b, mRNA






[NM_032195]


8
A_24_P55465
up
MTPN

Homo sapiens

136319
NM_145808






myotrophin (MTPN),






mRNA






[NM_145808]


9
A_33_P3219197
up
TBC1D10B

Homo sapiens TBC1

26000
NM_015527






domain family,






member 10B






(TBC1D10B),






mRNA






[NM_015527]


10
A_23_P213706
down
IL4

Homo sapiens

3565
NM_000589






interleukin 4 (IL4),






transcript variant 1,






mRNA






[NM_000589]


11
A_33_P3337977
down
FIG4
FIG4
9896






phosphoinositide 5-






phosphatase






[Source: HGNC






Symbol; Acc: HGNC:






16873]






[ENST00000368941]


12
A_23_P81690
down
COX7A2

Homo sapiens

1347
NM_001865






cytochrome c oxidase






subunit VIIa






polypeptide 2 (liver)






(COX7A2),






transcript variant 1,






mRNA






[NM_001865]


13
A_23_P391689
down
PET100

Homo sapiens

100131801
NM_001171155






PET100 homolog






(S. cerevisiae)






(PET100), transcript






variant 1, mRNA






[NM_001171155]


14
A_33_P3353263
down
CYB5RL
cytochrome b5
606495
BC071735






reductase-like






[Source: HGNC






Symbol; Acc: HGNC:






32220]






[ENST00000462299]


15
A_23_P148785
down
SFT2D2

Homo sapiens SFT2

375035
NM_199344






domain containing 2






(SFT2D2), mRNA






[NM_199344]


16
A_33_P3229017
down

family with sequence

XR_425872






similarity 53,






member C






[Source: HGNC






Symbol; Acc: HGNC:






1336]






[ENST00000506710]


17
A_33_P3549874
down
LOC255177
PREDICTED: Homo
255177
XR_243167







sapiens







uncharacterized






LOC255177 (RP11-






299H22.1),






misc_RNA






[XR_243167]


18
A_33_P3209096
down
CD58

Homo sapiens CD58

965
NM_001779






molecule (CD58),






transcript variant 1,






mRNA






[NM_001779]


19
A_32_P168247
down
COX6A1

Homo sapiens

1337
NM_004373






cytochrome c oxidase






subunit VIa






polypeptide 1






(COX6A1), mRNA






[NM_004373]


20
A_23_P98410
down
CD3G

Homo sapiens CD3g

917
NM_000073






molecule, gamma






(CD3-TCR complex)






(CD3G), mRNA






[NM_000073]


21
A_23_P94230
down
LY96

Homo sapiens

23643
NM_015364






lymphocyte antigen






96 (LY96), transcript






variant 1, mRNA






[NM_015364]


22
A_33_P3273020
down
FKBP2

Homo sapiens FK506

2286
NM_004470






binding protein 2,






13 kDa (FKBP2),






transcript variant 1,






mRNA






[NM_004470]


23
A_33_P3404989
down
HIST1H3H

Homo sapiens

8357
NM_003536






histone cluster 1,






H3h (HIST1H3H),






mRNA






[NM_003536]


24
A_19_P00809746
down
chr21:





39497834-





39497775


25
A_19_P00802837
down
chr9: 2691753-





2691812


26
A_19_P00322915
down
chr4:





53579123-





53579064


27
A_33_P3273584
down
SCARNA2

Homo sapiens small

677766
NR_003023






Cajal body-specific






RNA 2 (SCARNA2),






guide RNA






[NR_003023]


28
A_23_P45475
down
GLA

Homo sapiens

2717
NM_000169






galactosidase, alpha






(GLA), mRNA






[NM_000169]


29
A_24_P154006
down
NDUFB9

Homo sapiens

4715
NM_005005






NADH






dehydrogenase






(ubiquinone) 1 beta






subcomplex, 9,






22 kDa (NDUFB9),






transcript variant 1,






mRNA






[NM_005005]


30
A_23_P87500
down
ORMDL2

Homo sapiens

29095
NM_014182






ORMDL






sphingolipid






biosynthesis






regulator 2






(ORMDL2), mRNA






[NM_014182]


31
A_23_P421011
down
KAZALD1

Homo sapiens Kazal-

81621
NM_030929






type serine peptidase






inhibitor domain 1






(KAZALD1), mRNA






[NM_030929]


32
A_19_P00320700
down
chr8:





95986895-





95986836


33
A_33_P3668839
down
LOC644656

Homo sapiens

644656
NR_036539






uncharacterized






LOC644656






(LOC644656), long






non-coding RNA






[NR_036539]


34
A_33_P3382595
down
RN7SK

Homo sapiens RNA,

125050
NR_001445






7SK small nuclear






(RN7SK), small






nuclear RNA






[NR_001445]


35
A_33_P3418000
down
RELL1

Homo sapiens

768211
NM_001085399






RELT-like 1






(RELL1), transcript






variant 2, mRNA






[NM_001085399]


36
A_33_P3298440
down
LOC729324

Homo sapiens cDNA

729324
AK055581






FLJ31019 fis, clone






HLUNG2000362.






[AK055581]


37
A_19_P00318964
down

Q59HD7_HUMAN






(Q59HD7) Very low-






density lipoprotein






receptor variant






(Fragment), partial






(10%)






[THC2721022]


38
A_23_P96209
down
REEP4

Homo sapiens

80346
NM_025232






receptor accessory






protein 4 (REEP4),






mRNA






[NM_025232]


39
A_32_P107029
down
NAPSA

Homo sapiens napsin

9476
NM_004851






A aspartic peptidase






(NAPSA), mRNA






[NM_004851]


40
A_33_P3390107
down
RNA18S5

Homo sapiens RNA,

100008588
NR_003286






18S ribosomal 5






(RNA18S5),






ribosomal RNA






[NR_003286]


41
A_19_P00812257
down
LINC01191

Homo sapiens long

440900
NR_034128






intergenic non-






protein coding RNA






1191 (LINC01191),






long non-coding






RNA [NR_034128]


42
A_19_P00803914
down
chr9: 2539421-





2539480


43
A_33_P3346292
down
UBAP2
ubiquitin associated
55833
AY358682






protein 2






[Source: HGNC






Symbol; Acc: HGNC:






14185]






[ENST00000379225]


44
A_19_P00317204
down
chr4:





74399742-





74399683


45
A_19_P00807884
down
chr14:





58759635-





58759694


46
A_33_P3335522
down
FCRL5

Homo sapiens Fc

83416
NM_001195388






receptor-like 5






(FCRL5), transcript






variant 2, mRNA






[NM_001195388]


47
A_24_P301063
down
PLEKHG6

Homo sapiens

55200
NM_018173






pleckstrin homology






domain containing,






family G (with






RhoGef domain)






member 6






(PLEKHG6),






transcript variant 1,






mRNA






[NM_018173]


48
A_19_P00324071
down
chrX:





135955146-





135955205


49
A_23_P40240
down
CTSZ

Homo sapiens

1522
NM_001336






cathepsin Z (CTSZ),






mRNA






[NM_001336]


50
A_33_P3227217
down
SNORA81

Homo sapiens small

677847
NR_002989






nucleolar RNA,






H/ACA box 81






(SNORA81), small






nucleolar RNA






[NR_002989]


51
A_23_P38618
down
PIGL

Homo sapiens

9487
NM_004278






phosphatidylinositol






glycan anchor






biosynthesis, class L






(PIGL), mRNA






[NM_004278]


52
A_19_P00316649
down
chr15:
aldehyde

XR_243155





58538397-
dehydrogenase 1





58538338
family, member A2






[Source: HGNC






Symbol; Acc: HGNC:






15472]






[ENST00000559625]


53
A_23_P388871
down
HIST4H4

Homo sapiens

121504
NM_175054






histone cluster 4, H4






(HIST4H4), mRNA






[NM_175054]


54
A_32_P221305
down
LINC00937

Homo sapiens long

389634
NR_024420






intergenic non-






protein coding RNA






937 (LINC00937),






long non-coding






RNA [NR_024420]


55
A_24_P276932
down
ATP6V1C2

Homo sapiens

245973
NM_001039362






ATPase, H+






transporting,






lysosomal 42 kDa, VI






subunit C2






(ATP6V1C2),






transcript variant 1,






mRNA






[NM_001039362]


56
A_19_P00323062
down
chr5:





124748130-





124748189


57
A_19_P00322687
down
ERVMER34-1

Homo sapiens

100288413
NM_001242690






endogenous






retrovirus group






MER34, member 1






(ERVMER34-1),






transcript variant 2,






mRNA






[NM_001242690]


58
A_19_P00320136
down
chr15:
small nucleolar RNA,

JX629743





25333923-
C/D box 116-20





25333982
[Source: HGNC






Symbol; Acc: HGNC:






33086]






[ENST00000567527]


59
A_24_P23445
down
RNU12

Homo sapiens RNA,

267010
NR_029422






U12 small nuclear






(RNU12), small






nuclear RNA






[NR_029422]


60
A_19_P00327750
down
chr4:





93191760-





93191819


61
A_19_P00316075
down
chr4:
Q30VC0_DESDG





53579273-
(Q30VC0) Flagellar





53579332
biosynthetic protein






FliP, partial (8%)






[THC2498220]


62
A_32_P99019
down
FMR1NB

Homo sapiens fragile

158521
NM_152578






X mental retardation






1 neighbor






(FMR1NB), mRNA






[NM_152578]


63
A_19_P00320259
down
ERVMER34-1

Homo sapiens

100288413
NM_001242690






endogenous






retrovirus group






MER34, member 1






(ERVMER34-1),






transcript variant 2,






mRNA






[NM_001242690]


64
A_19_P00318261
down
SNORA26

Homo sapiens small

677810
NR_003016






nucleolar RNA,






H/ACA box 26






(SNORA26), small






nucleolar RNA






[NR_003016]


65
A_19_P00318418
down
TBXAS1

Homo sapiens

6916
NM_001166254






thromboxane A






synthase 1 (platelet)






(TBXAS1), transcript






variant 5, mRNA






[NM_001166254]


66
A_19_P00318569
down
chr20:
ALU1_HUMAN





37049686-
(P39188) Alu





37049745
subfamily J sequence






contamination






warning entry, partial






(8%) [THC2540047]


67
A_33_P3284715
down
SCARNA7

Homo sapiens small

677767
NR_003001






Cajal body-specific






RNA 7 (SCARNA7),






guide RNA






[NR_003001]


68
A_33_P3359168
down
LOC101927151

Homo sapiens

101927151
NR_110687






uncharacterized






LOC101927151






(LOC101927151),






transcript variant 1,






long non-coding






RNA [NR_110687]


69
A_19_P00812901
down
chr8:





32872723-





32872782


70
A_33_P3234124
down
FAM132B

Homo sapiens family

151176
NM_001291832






with sequence






similarity 132,






member B






(FAM132B), mRNA






[NM_001291832]


71
A_33_P3671291
down
SNORA12
EST91069 Synovial
677800
AA378382






sarcoma Homo







sapiens cDNA 5′ end,







mRNA sequence






[AA378382]


72
A_33_P3420496
down
SNORA53

Homo sapiens small

677832
NR_003015






nucleolar RNA,






H/ACA box 53






(SNORA53), small






nucleolar RNA






[NR_003015]


73
A_19_P00807268
down
chr4:





76466756-





76466697


74
A_19_P00813375
down
unmapped


75
A_19_P00318425
down
ERVMER34-1

Homo sapiens

100288413
NM_001242690






endogenous






retrovirus group






MER34, member 1






(ERVMER34-1),






transcript variant 2,






mRNA






[NM_001242690]


76
A_33_P3258146
down
LOC100130539

Homo sapiens

100130539
NM_001258000






uncharacterized






LOC100130539






(LOC100130539),






mRNA






[NM_001258000]


77
A_33_P3658861
down
SNORA26
qi73d08.y5
677810
AI792523






NCI_CGAP_Ov26







Homo sapiens cDNA







clone






IMAGE: 1862127 5′,






mRNA sequence






[AI792523]


78
A_23_P53329
down
FLJ13224

Homo sapiens

79857
NR_026806






uncharacterized






LOC79857






(FLJ13224), long






non-coding RNA






[NR_026806]


79
A_33_P3327519
down
SNORA74A

Homo sapiens small

26821
NR_002915






nucleolar RNA,






H/ACA box 74A






(SNORA74A), small






nucleolar RNA






[NR_002915]


80
A_19_P00803996
down
chr1:





181391989-





181392048









In some embodiments, the methods provided herein include measuring or detecting the expression level of at least one leukemia stem cell marker of Table 4, e.g., at least 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, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, or 105 leukemia stem cell markers of Table 4, in a cell (e.g., a test cell). In other words, the methods include measuring the expression level of 1 to 105 different leukemia stem cell markers set forth in Table 4 in a test cell. The cell can also have a low level of 2-NBDG fluorescence compared to a non-cancer stem cell. In other embodiments, the test cell is suspected of being a leukemia stem cell such as a T-cell ALL stem cell.


In some embodiments, the expression level of the leukemia stem cell marker No. 1, No. 2, No. 3, No. 4, No. 5, No. 6, No. 7, No. 8, No. 9, No. 10, No. 11, No. 12, No. 13, No. 14, No. 15, No. 16, No. 17, No. 18, No. 19, No. 20, No. 21, No. 22, No. 23, No. 24, No. 25, No. 26, No. 27, No. 28, No. 29, No. 30, 31, No. 32, No. 33, No. 34, No. 35, No. 36, No. 37, No. 38, No. 39, No. 40, No. 41, No. 42, No. 43, No. 44, No. 45, No. 46, No. 47, No. 48, No. 49, No. 50, No. 51, No. 52, No. 53, No. 54, No. 55, No. 56, No. 57, No. 58, No. 59, No. 60, No. 61, No. 62, No. 63, No. 64, No. 65, No. 66, No. 67, No. 68, No. 69, No. 70, No. 71, No. 72, No. 73, No. 74, No. 75, No. 76, No. 77, No. 78, No. 79, No. 80, No. 81, No. 82, No. 83, No. 84, No. 85, No. 86, No. 87, No. 88, No. 89, No. 90, No. 91, No. 92, No. 93, No. 94, No. 95, No. 96, No. 97, No. 98, No. 99, No. 100, No. 101, No. 102, No. 103, No. 104, or No. 105 of Table 4, or any combination thereof, is measured in a cell from a sample comprising leukemia stem cells (e.g., T-cell ALL stem cells) and non-leukemia stem cells.


In some embodiments, if the expression level(s) of the leukemia stem cell marker No. 1, No. 2, No. 3, No. 4, No. 5, No. 6, No. 7, No. 8, No. 9, No. 10, No. 11, No. 12, No. 13, No. 14, No. 15, No. 16, No. 17, No. 18, or No. 19 of Table 4, or any combination thereof is measured and is higher in the test cell compared to a non-leukemia stem cell, the test cell is classified as a leukemia stem cell or more specifically, a T-cell ALL stem cell. The following markers are expressed at a higher level in a T-cell ALL stem cell than a cell that is not a T-cell ALL stem cell: ELMO2, AACS, SEC16A, EXOC2, ATPAF1, ATPAF1, POLE, NUPL1, RBM23, ZNF28, TNIK, TBL1XR1, ATP2A3, RAI1, TDG, SON, MTPN, LINC01503, DDX11, and TBC1D10B. In other embodiments, if the expression level(s) of the leukemia stem cell marker No. 20, No. 21, No. 22, No. 23, No. 24, No. 25, No. 26, No. 27, No. 28, No. 29, No. 30, 31, No. 32, No. 33, No. 34, No. 35, No. 36, No. 37, No. 38, No. 39, No. 40, No. 41, No. 42, No. 43, No. 44, No. 45, No. 46, No. 47, No. 48, No. 49, No. 50, No. 51, No. 52, No. 53, No. 54, No. 55, No. 56, No. 57, No. 58, No. 59, No. 60, No. 61, No. 62, No. 63, No. 64, No. 65, No. 66, No. 67, No. 68, No. 69, No. 70, No. 71, No. 72, No. 73, No. 74, No. 75, No. 76, No. 77, No. 78, No. 79, No. 80, No. 81, No. 82, No. 83, No. 84, No. 85, No. 86, No. 87, No. 88, No. 89, No. 90, No. 91, No. 92, No. 93, No. 94, No. 95, No. 96, No. 97, No. 98, No. 99, No. 100, No. 101, No. 102, No. 103, No. 104, or No. 105 of Table 4, or any combination thereof is measured and is lower in the test cell compared to a non-leukemia stem cell, the test cell is classified as a leukemia stem cell or more specifically, a T-cell ALL stem cell.









TABLE 4







105 Leukemia Stem Cell Markers for T-cell ALL














Agilent Probe
Expression


Entrez
Genbank


No.
Name
Level
Gene Symbol
Description
GeneID
Accession No.
















1
A_23_P210538
up
ELMO2

Homo sapiens engulfment

63916
NM_182764






and cell motility 2






(ELMO2), transcript variant






2, mRNA [NM_182764]


2
A_33_P3403392
up
AACS

Homo sapiens acetoacetyl-

65985
NM_023928






CoA synthetase (AACS),






mRNA [NM_023928]


3
A_33_P3382267
up
SEC16A

Homo sapiens SEC16

9919
NM_014866






homolog A (S. cerevisiae)






(SEC16A), transcript






variant 1, mRNA






[NM_014866]


4
A_23_P214354
up
EXOC2

Homo sapiens exocyst

55770
NM_018303






complex component 2






(EXOC2), transcript variant






1, mRNA [NM_018303]


5
A_24_P919899
up
ATPAF1
ATP synthase
64756
AF111705






mitochondrial F1 complex






assembly factor 1






[Source: HGNC






Symbol; Acc: HGNC: 18803]






[ENST00000576409]


6
A_33_P3695548
up
POLE

Homo sapiens polymerase

5426
NM_006231






(DNA directed), epsilon,






catalytic subunit (POLE),






mRNA [NM_006231]


7
A_23_P390190
up
NUPL1

Homo sapiens nucleoporin

9818
NM_014089






like 1 (NUPL1), transcript






variant 1, mRNA






[NM_014089]


8
A_24_P219156
up
RBM23

Homo sapiens RNA binding

55147
NM_001077351






motif protein 23 (RBM23),






transcript variant 1, mRNA






[NM_001077351]


9
A_24_P282043
up
ZNF28

Homo sapiens zinc finger

7576
NM_006969






protein 28 (ZNF28),






transcript variant 1, mRNA






[NM_006969]


10
A_24_P350576
up
TNIK

Homo sapiens TRAF2 and

23043
NM_015028






NCK interacting kinase






(TNIK), transcript variant 1,






mRNA [NM_015028]


11
A_23_P212552
up
TBL1XR1

Homo sapiens transducin

79718
NM_024665






(beta)-like 1 X-linked






receptor 1 (TBL1XR1),






mRNA [NM_024665]


12
A_24_P202319
up
ATP2A3

Homo sapiens ATPase,

489
NM_174958






Ca++ transporting,






ubiquitous (ATP2A3),






transcript variant 7, mRNA






[NM_174958]


13
A_33_P3320499
up
RAI1

Homo sapiens retinoic acid

10743
NM_030665






induced 1 (RAI1), mRNA






[NM_030665]


14
A_33_P3357445
up
TDG

Homo sapiens thymine-

6996
NM_003211






DNA glycosylase (TDG),






mRNA [NM_003211]


15
A_23_P402733
up
SON

Homo sapiens SON DNA

6651
NM_032195






binding protein (SON),






transcript variant b, mRNA






[NM_032195]


16
A_24_P55465
up
MTPN

Homo sapiens myotrophin

136319
NM_145808






(MTPN), mRNA






[NM_145808]


17
A_19_P00322442
up
LINC01503

Homo sapiens long

100506119
NR_120685






intergenic non-protein






coding RNA 1503






(LINC01503), transcript






variant 1, long non-coding






RNA [NR_120685]


18
A_33_P3322307
up
DDX11

Homo sapiens DEAD/H

1663
NM_001257145






(Asp-Glu-Ala-Asp/His) box






helicase 11 (DDX11),






transcript variant 5, mRNA






[NM_001257145]


19
A_33_P3219197
up
TBC1D10B

Homo sapiens TBC1

26000
NM_015527






domain family, member






10B (TBC1D10B), mRNA






[NM_015527]


20
A_19_P00320136
down
chr15:
small nucleolar RNA, C/D

JX629743





25333923-
box 116-20 [Source: HGNC





25333982
Symbol; Acc: HGNC: 33086]






[ENST00000567527]


21
A_19_P00318261
down
SNORA26

Homo sapiens small

677810
NR_003016






nucleolar RNA, H/ACA






box 26 (SNORA26), small






nucleolar RNA






[NR_003016]


22
A_19_P00320259
down
ERVMER34-

Homo sapiens endogenous

100288413
NM_001242690





1
retrovirus group MER34,






member 1 (ERVMER34-1),






transcript variant 2, mRNA






[NM_001242690]


23
A_19_P00322687
down
ERVMER34-

Homo sapiens endogenous

100288413
NM_001242690





1
retrovirus group MER34,






member 1 (ERVMER34-1),






transcript variant 2, mRNA






[NM_001242690]


24
A_19_P00316075
down
chr4:
Q30VC0_DESDG





53579273-
(Q30VC0) Flagellar





53579332
biosynthetic protein FliP,






partial (8%) [THC2498220]


25
A_23_P213706
down
IL4

Homo sapiens interleukin 4

3565
NM_000589






(IL4), transcript variant 1,






mRNA [NM_000589]


26
A_33_P3209096
down
CD58

Homo sapiens CD58

965
NM_001779






molecule (CD58), transcript






variant 1, mRNA






[NM_001779]


27
A_23_P94230
down
LY96

Homo sapiens lymphocyte

23643
NM_015364






antigen 96 (LY96),






transcript variant 1, mRNA






[NM_015364]


28
A_33_P3273584
down
SCARNA2

Homo sapiens small Cajal

677766
NR_003023






body-specific RNA 2






(SCARNA2), guide RNA






[NR_003023]


29
A_33_P3844650
down
ANGPTL2

Homo sapiens angiopoietin-

23452
NM_012098






like 2 (ANGPTL2), mRNA






[NM_012098]


30
A_23_P81690
down
COX7A2

Homo sapiens cytochrome c

1347
NM_001865






oxidase subunit VIIa






polypeptide 2 (liver)






(COX7A2), transcript






variant 1, mRNA






[NM_001865]


31
A_23_P391689
down
PET100

Homo sapiens PET100

100131801
NM_001171155






homolog (S. cerevisiae)






(PET100), transcript variant






1, mRNA






[NM_001171155]


32
A_33_P3549874
down
LOC255177
PREDICTED: Homo
255177
XR_243167







sapiens uncharacterized







LOC255177 (RP11-






299H22.1), misc_RNA






[XR_243167]


33
A_33_P3363082
down
SCARNA5

Homo sapiens small Cajal

677775
NR_003008






body-specific RNA 5






(SCARNA5), guide RNA






[NR_003008]


34
A_33_P3345743
down
PFN1P2

Homo sapiens profilin 1

767846
NR_003242






pseudogene 2 (PFN1P2),






non-coding RNA






[NR_003242]


35
A_33_P3273020
down
FKBP2

Homo sapiens FK506

2286
NM_004470






binding protein 2, 13 kDa






(FKBP2), transcript variant






1, mRNA [NM_004470]


36
A_19_P00809746
down
chr21:





39497834-





39497775


37
A_23_P148785
down
SFT2D2

Homo sapiens SFT2

375035
NM_199344






domain containing 2






(SFT2D2), mRNA






[NM_199344]


38
A_19_P00321344
down
LINC01237
long intergenic non-protein
101927289






coding RNA 1237






[Source: HGNC






Symbol; Acc: HGNC: 49793]






[ENST00000429947]


39
A_33_P3671291
down
SNORA12
EST91069 Synovial
677800
AA378382






sarcoma Homo sapiens






cDNA 5′ end, mRNA






sequence [AA378382]


40
A_23_P316850
down
ODF3L2

Homo sapiens outer dense

284451
NM_182577






fiber of sperm tails 3-like 2






(ODF3L2), mRNA






[NM_182577]


41
A_33_P3346292
down
UBAP2
ubiquitin associated protein
55833
AY358682






2 [Source: HGNC






Symbol; Acc: HGNC: 14185]






[ENST00000379225]


42
A_23_P142187
down
HIF3A

Homo sapiens hypoxia

64344
NM_022462






inducible factor 3, alpha






subunit (HIF3A), transcript






variant 2, mRNA






[NM_022462]


43
A_33_P3390107
down
RNA18S5

Homo sapiens RNA, 18S

100008588
NR_003286






ribosomal 5 (RNA18S5),






ribosomal RNA






[NR_003286]


44
A_33_P3418000
down
RELL1

Homo sapiens RELT-like 1

768211
NM_001085399






(RELL1), transcript variant






2, mRNA






[NM_001085399]


45
A_32_P168247
down
COX6A1

Homo sapiens cytochrome c

1337
NM_004373






oxidase subunit VIa






polypeptide 1 (COX6A1),






mRNA [NM_004373]


46
A_19_P00802837
down
chr9:





2691753-





2691812


47
A_33_P3229017
down
chr5:
family with sequence

XR_425872





137672717-
similarity 53, member C





137672776
[Source: HGNC






Symbol; Acc: HGNC: 1336]






[ENST00000506710]


48
A_19_P00323062
down
chr5:





124748130-





124748189


49
A_23_P43490
down
CDKN2A

Homo sapiens cyclin-

1029
NM_058197






dependent kinase inhibitor






2A (CDKN2A), transcript






variant 3, mRNA






[NM_058197]


50
A_33_P3404032
down
HIST3H2A

Homo sapiens histone

92815
NM_033445






cluster 3, H2a






(HIST3H2A), mRNA






[NM_033445]


51
A_33_P3353263
down
CYB5RL
cytochrome b5 reductase-
606495
BC071735






like [Source: HGNC






Symbol; Acc: HGNC: 32220]






[ENST00000462299]


52
A_33_P3399064
down
RNA5-8S5

Homo sapiens RNA, 5.8S

100008587
NR_003285






ribosomal 5 (RNA5-8S5),






ribosomal RNA






[NR_003285]


53
A_24_P258235
down
OR5L2

Homo sapiens olfactory

26338
NM_001004739






receptor, family 5,






subfamily L, member 2






(OR5L2), mRNA






[NM_001004739]


54
A_23_P70007
down
HMMR

Homo sapiens hyaluronan-

3161
NM_012484






mediated motility receptor






(RHAMM) (HMMR),






transcript variant 2, mRNA






[NM_012484]


55
A_23_P98410
down
CD3G

Homo sapiens CD3g

917
NM_000073






molecule, gamma (CD3-






TCR complex) (CD3G),






mRNA [NM_000073]


56
A_33_P3668839
down
LOC644656

Homo sapiens

644656
NR_036539






uncharacterized






LOC644656 (LOC644656),






long non-coding RNA






[NR_036539]


57
A_23_P127721
down
P2RX3

Homo sapiens purinergic

5024
NM_002559






receptor P2X, ligand gated






ion channel, 3 (P2RX3),






mRNA [NM_002559]


58
A_19_P00322915
down
chr4:





53579123-





53579064


59
A_19_P00317523
down
chr6:
small nucleolar RNA host





86387104-
gene 5 (non-protein coding)





86387045
[Source: HGNC






Symbol; Acc: HGNC: 21026]






[ENST00000433843]


60
A_33_P3237574
down
HLA-A

Homo sapiens major

3105
NM_001242758






histocompatibility complex,






class I, A (HLA-A),






transcript variant 2






(A*01:01:01:01 allele),






mRNA [NM_001242758]


61
A_19_P00326417
down
chr21:





4790147-





44790206


62
A_33_P3244478
down
ACVR2B-

Homo sapiens ACVR2B

100128640
NR_028389





AS1
antisense RNA 1






(ACVR2B-AS1), long non-






coding RNA [NR_028389]


63
A_19_P00807268
down
chr4:





76466756-





76466697


64
A_19_P00809587
down
chr8:





96321995-





96321936


65
A_19_P00326467
down
chrX:





71238427-





71238486


66
A_19_P00328490
down
chr5:





167703271-





167703330


67
A_33_P3313622
down
MIR17HG

Homo sapiens miR-17-92

407975
NR_027350






cluster host gene (non-






protein coding)






(MIR17HG), transcript






variant 1, long non-coding






RNA [NR_027350]


68
A_33_P3383524
down
LINC00923

Homo sapiens long

91948
NR_024172






intergenic non-protein






coding RNA 923






(LINC00923), transcript






variant 1, long non-coding






RNA [NR_024172]


69
A_23_P377860
down
UMODL1-

Homo sapiens UMODL1

150147
NR_027243





AS1
antisense RNA 1






(UMODL1-AS1), long non-






coding RNA [NR_027243]


70
A_23_P4400
down
KRTAP4-11

Homo sapiens keratin

653240
NM_033059






associated protein 4-11






(KRTAP4-11), mRNA






[NM_033059]


71
A_19_P00324071
down
chrX:





135955146-





135955205


72
A_33_P3261937
down
RNASE13

Homo sapiens ribonuclease,

440163
NM_001012264






RNase A family, 13 (non-






active) (RNASE13), mRNA






[NM_001012264]


73
A_19_P00812884
down
chr10:





134137713-





134137772


74
A_33_P3258146
down
LOC100130539

Homo sapiens

100130539
NM_001258000






uncharacterized






LOC100130539






(LOC100130539), mRNA






[NM_001258000]


75
A_24_P631848
down
chr1:


BC036435





16860558-





16860499


76
A_33_P3411315
down
KRTAP3-3

Homo sapiens keratin

85293
NM_033185






associated protein 3-3






(KRTAP3-3), mRNA






[NM_033185]


77
A_23_P372860
down
HIST1H2AC

Homo sapiens histone

8334
NM_003512






cluster 1, H2ac






(HIST1H2AC), mRNA






[NM_003512]


78
A_33_P3415843
down
chr9:
BT006801 carnitine





131869680-
acetyltransferase {Homo





131869621

sapiens} (exp = −1; wgp = 0;







cg = 0), partial (18%)






[THC2667880]


79
A_33_P3393734
down
RPS27
ribosomal protein S27
6232






[Source: HGNC






Symbol; Acc: HGNC: 10416]






[ENST00000392558]


80
A_33_P3839897
down
RNU4ATAC
HHAGE001732 Human
100151683
DW419002






liver regeneration after






partial hepatectomy Homo







sapiens cDNA, mRNA







sequence [DW419002]


81
A_24_P276932
down
ATP6V1C2

Homo sapiens ATPase, H+

245973
NM_001039362






transporting, lysosomal






42 kDa, V1 subunit C2






(ATP6V1C2), transcript






variant 1, mRNA






[NM_001039362]


82
A_33_P3235546
down
RIMS3

Homo sapiens regulating

9783
NM_014747






synaptic membrane






exocytosis 3 (RIMS3),






mRNA [NM_014747]


83
A_19_P00812428
down
chrX:





71264431-





71264372


84
A_33_P3382595
down
RN7SK

Homo sapiens RNA, 7SK

125050
NR_001445






small nuclear (RN7SK),






small nuclear RNA






[NR_001445]


85
A_19_P00808190
down
chr8:





32869106-





32869047


86
A_19_P00807884
down
chr14:





58759635-





58759694


87
A_24_P922631
down
C5orf58

Homo sapiens chromosome

133874
NM_001102609






5 open reading frame 58






(C5orf58), mRNA






[NM_001102609]


88
A_33_P3404989
down
HIST1H3H

Homo sapiens histone

8357
NM_003536






cluster 1, H3h






(HIST1H3H), mRNA






[NM_003536]


89
A_24_P23445
down
RNU12

Homo sapiens RNA, U12

267010
NR_029422






small nuclear (RNU12),






small nuclear RNA






[NR_029422]


90
A_19_P00327750
down
chr4:





93191760-





93191819


91
A_33_P3227217
down
SNORA81

Homo sapiens small

677847
NR_002989






nucleolar RNA, H/ACA






box 81 (SNORA81), small






nucleolar RNA






[NR_002989]


92
A_33_P3337977
down
FIG4
FIG4 phosphoinositide 5-
9896






phosphatase [Source: HGNC






Symbol; Acc: HGNC: 16873]






[ENST00000368941]


93
A_33_P3658861
down
SNORA26
qi73d08.y5
677810
AI792523






NCI_CGAP_Ov26 Homo







sapiens cDNA clone







IMAGE: 1862127 5′, mRNA






sequence [AI792523]


94
A_19_P00318569
down
chr20:
ALU1_HUMAN (P39188)





37049686-
Alu subfamily J sequence





37049745
contamination warning






entry, partial (8%)






[THC2540047]


95
A_33_P3273459
down
SPATA21
spermatogenesis associated
374955
XR_241189






21 [Source: HGNC






Symbol; Acc: HGNC: 28026]






[ENST00000466212]


96
A_19_P00810792
down
chr11:





40105528-





40105587


97
A_33_P3420496
down
SNORA53

Homo sapiens small

677832
NR_003015






nucleolar RNA, H/ACA






box 53 (SNORA53), small






nucleolar RNA






[NR_003015]


98
A_32_P181527
down
AARD

Homo sapiens alanine and

441376
NM_001025357






arginine rich domain






containing protein (AARD),






mRNA [NM_001025357]


99
A_24_P927325
down
C2CD3

Homo sapiens C2 calcium-

26005
NM_015531






dependent domain






containing 3 (C2CD3),






transcript variant 2, mRNA






[NM_015531]


100
A_33_P3327519
down
SNORA74A

Homo sapiens small

26821
NR_002915






nucleolar RNA, H/ACA






box 74A (SNORA74A),






small nucleolar RNA






[NR_002915]


101
A_19_P00803996
down
chr1:





181391989-





181392048


102
A_19_P00812662
down
chr12:





5401336-





5401277


103
A_19_P00324839
down
MALAT1

Homo sapiens metastasis

378938
NR_002819






associated lung






adenocarcinoma transcript 1






(non-protein coding)






(MALAT1), long non-






coding RNA [NR_002819]


104
A_23_P155463
down
LRRC2

Homo sapiens leucine rich

79442
NM_024512






repeat containing 2






(LRRC2), mRNA






[NM_024512]


105
A_19_P00812901
down
chr8:





32872723-





32872782









If the expression level of the measured leukemia stem cell marker(s) in the test cell is higher, e.g., at least about 25%, at least about 50%, at least about 90%, at least about 100%, at least about 1.5-fold, 2-fold, 2.5-fold, 3-fold, 3.5-fold, 4-fold, 4.5-fold, 5-fold or more, higher than the expression level of the same leukemia stem cell marker(s) in a non-leukemia stem cell, it is determined that the test cell is a leukemia stem cell. The non-leukemia stem cell can be a differentiated leukemia cell, a progenitor leukemia cell or a precursor leukemia cell. If the level(s) of leukemia stem cell marker No. 1, No. 2, No. 3, No. 4, No. 5, No. 6, No. 7, No. 8, or No. 9 of Table 3, or any combination thereof is higher, e.g., at least about 25%, at least about 50%, at least about 90%, at least about 100%, at least about 1.5-fold, 2-fold, 2.5-fold, 3-fold, 3.5-fold, 4-fold, 4.5-fold, 5-fold or more, higher in the test cell from the sample than the non-leukemia stem cell, then the test cell can be classified as a B-cell ALL stem cell. If the expression level(s) of the leukemia stem cell marker No. 1, No. 2, No. 3, No. 4, No. 5, No. 6, No. 7, No. 8, No. 9, No. 10, No. 11, No. 12, No. 13, No. 14, No. 15, No. 16, No. 17, No. 18, or No. 19 of Table 4, or any combination thereof is measured and is higher e.g., at least about 25%, at least about 50%, at least about 90%, at least about 100%, at least about 1.5-fold, 2-fold, 2.5-fold, 3-fold, 3.5-fold, 4-fold, 4.5-fold, 5-fold or more, higher in the test cell compared to a non-leukemia stem cell, the test cell can be classified as a T-cell ALL stem cell.


In other embodiments, if the expression level of the measured leukemia stem cell marker(s) in the test cell is lower, e.g., at least about 25%, at least about 50%, at least about 90%, at least about 100%, at least about 1.5-fold, 2-fold, 2.5-fold, 3-fold, 3.5-fold, 4-fold, 4.5-fold, 5-fold or more, lower than the expression level of the same leukemia stem cell marker(s) in a non-leukemia stem cell, it is determined that the test cell is a leukemia stem cell. If the level(s) of leukemia stem cell marker No. 10, No. 11, No. 12, No. 13, No. 14, No. 15, No. 16, No. 17, No. 18, No. 19, No. 20, No. 21, No. 22, No. 23, No. 24, No. 25, No. 26, No. 27, No. 28, No. 29, No. 30, 31, No. 32, No. 33, No. 34, No. 35, No. 36, No. 37, No. 38, No. 39, No. 40, No. 41, No. 42, No. 43, No. 44, No. 45, No. 46, No. 47, No. 48, No. 49, No. 50, No. 51, No. 52, No. 53, No. 54, No. 55, No. 56, No. 57, No. 58, No. 59, No. 60, No. 61, No. 62, No. 63, No. 64, No. 65, No. 66, No. 67, No. 68, No. 69, No. 70, No. 71, No. 72, No. 73, No. 74, No. 75, No. 76, No. 77, No. 78, No. 79, or No. 80 of Table 3, or any combination thereof is lower, e.g., at least about 25%, at least about 50%, at least about 90%, at least about 100%, at least about 1.5-fold, 2-fold, 2.5-fold, 3-fold, 3.5-fold, 4-fold, 4.5-fold, 5-fold or more, lower in the test cell than a non-leukemia stem cell, the test cell is classified as a B-cell ALL stem cell. If the expression level(s) of the leukemia stem cell marker No. 20, No. 21, No. 22, No. 23, No. 24, No. 25, No. 26, No. 27, No. 28, No. 29, No. 30, 31, No. 32, No. 33, No. 34, No. 35, No. 36, No. 37, No. 38, No. 39, No. 40, No. 41, No. 42, No. 43, No. 44, No. 45, No. 46, No. 47, No. 48, No. 49, No. 50, No. 51, No. 52, No. 53, No. 54, No. 55, No. 56, No. 57, No. 58, No. 59, No. 60, No. 61, No. 62, No. 63, No. 64, No. 65, No. 66, No. 67, No. 68, No. 69, No. 70, No. 71, No. 72, No. 73, No. 74, No. 75, No. 76, No. 77, No. 78, No. 79, No. 80, No. 81, No. 82, No. 83, No. 84, No. 85, No. 86, No. 87, No. 88, No. 89, No. 90, No. 91, No. 92, No. 93, No. 94, No. 95, No. 96, No. 97, No. 98, No. 99, No. 100, No. 101, No. 102, No. 103, No. 104, or No. 105 of Table 4, or any combination thereof is measured and is lower, e.g., at least about 25%, at least about 50%, at least about 90%, at least about 100%, at least about 1.5-fold, 2-fold, 2.5-fold, 3-fold, 3.5-fold, 4-fold, 4.5-fold, 5-fold or more, in the test cell compared to a non-leukemia stem cell, the test cell is classified as a T-cell ALL stem cell.


The levels of the stem cell markers of Table 3 or Table 4 can be measured using a microarray such as a SurePrint® G3 Human GE 8×60K microarray (Agilent Technologies, Santa Clara, Calif.), or a single-cell gene expression system. Such levels can be detected using, for example, one or more of the hybridization probes listed in Table 3 and/or Table 4, or an equivalent thereof.


D. Subpopulations of Leukemia Stem Cells


The present invention also provides a method for identifying and/or isolating a subpopulation (e.g., subclone) of leukemia stem cells from a sample (e.g., a biological sample or a cell culture sample) that contains a heterogeneous or mixed population of leukemia stem cells. In some embodiments, the method includes measuring the expression level of 1 to 93 leukemia stem cell markers set forth in Table 2 in a first leukemia stem cell, and comparing the expression level of the same leukemia stem cell markers in a second (different) leukemia stem cell from the mixed population. As described above, the expression level of the leukemia stem cell marker No. 1, No. 2, No. 3, No. 4, No. 5, No. 6, No. 7, No. 8, No. 9, No. 10, No. 11, No. 12, No. 13, No. 14, No. 15, No. 16, No. 17, No. 18, No. 19, No. 20, No. 21, No. 22, No. 23, No. 24, No. 25, No. 26, No. 27, No. 28, No. 29, No. 30, 31, No. 32, No. 33, No. 34, No. 35, No. 36, No. 37, No. 38, No. 39, No. 40, No. 41, No. 42, No. 43, No. 44, No. 45, No. 46, No. 47, No. 48, No. 49, No. 50, No. 51, No. 52, No. 53, No. 54, No. 55, No. 56, No. 57, No. 58, No. 59, No. 60, No. 61, No. 62, No. 63, No. 64, No. 65, No. 66, No. 67, No. 68, No. 69, No. 70, No. 71, No. 72, No. 73, No. 74, No. 75, No. 76, No. 77, No. 78, No. 79, No. 80, No. 81, No. 82, No. 83, No. 84, No. 85, No. 86, No. 87, No. 88, No. 89, No. 90, No. 91, No. 92, or No. 93 of Table 2, or any combination of the markers in Table 2, is measured in the sample. At least 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, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, or 93 leukemia stem cell markers of Table 2 can be detected in a cell from the sample. If the expression level of the stem cell marker(s) of the first leukemia stem cell is higher and/or lower compared the expression level of the same stem cell marker(s) of the second leukemia stem cell, the first and second leukemia stem cell belong to separate (different or distinct) populations of stem cells. In some embodiments, the distinct subpopulations of leukemia stem cells can be separated and collected using standard methods such as cell sorting, e.g., FACS sorting.


In some embodiments, if the expression level of the measured leukemia stem cell marker(s) in the test leukemia stem cell is higher, e.g., at least about 25%, at least about 50%, at least about 90%, at least about 100%, at least about 1.5-fold, 2-fold, 2.5-fold, 3-fold, 3.5-fold, 4-fold, 4.5-fold, 5-fold or more, higher than the expression level of the same leukemia stem cell marker(s) in a second leukemia stem cell, it is determined that the test leukemia stem cell is distinct from the second leukemia stem cell and represent a separate (different or distinct) population of leukemia stem cells of the same leukemia disease.


In some embodiments, if the expression level of the measured leukemia stem cell marker(s) in the test cell is lower, e.g., at least about 25%, at least about 50%, at least about 90%, at least about 100%, at least about 1.5-fold, 2-fold, 2.5-fold, 3-fold, 3.5-fold, 4-fold, 4.5-fold, 5-fold or more, lower than the expression level of the same leukemia stem cell marker(s) in a non-leukemia stem cell, it is determined that the test leukemia stem cell belongs to a different population of leukemia stem cells. For example, the test and second leukemia stem cells are different types of leukemia stem cells of the same leukemia.


E. Determining the Cancer-Forming Ability of Cancer Stem Cells


The cancer-forming ability (tumor-initiating potential) of cancer stem cells (CSCs) isolated according to the methods provided herein can be assessed by transplanting the CSCs into a xenograft animal model. In particular embodiments, the leukemia stem cells (LSCs) isolated according to the methods provided herein are transplanted into a xenograft animal model to evaluate their leukemia initiating capacity. For example, the isolated LSCs can be injected into NOD/SCID/IL2Rγ null (NSG) mice which have no functional B-cells, T-cells, and natural killer cells (Fujii et al., Pathol Int, 2008, 58:559-567; NOD.Cg-Prkdcscid Il2gtm1Wjl/Szj; Jackson Laboratory, Stock No. 005557), nude mice (Nu/J, Jackson Laboratory, Stock No. 002019), SCID mice (CB17/lcr-Prkdcscid/lcrlcoCrl, Charles River, Strain Code 236), NOD-SCID mice (NOD.CB17-Prkdcscid/J; Jackson Laboratory, Stock No. 001303), or nude rats (Crl:NIH-Foxn1mu, Charles River, Strain Code 316).


The CSCs can be injected into the immunodeficient mice by various methods of injection or infusion, such as, but not limited to, subcutaneous, intramuscular, intravenous, intradermal, intraosseous, intraperitoneal, intrathecal, epidural, intracardiac, intraarticular, intracavernous, intravitreal, intracerebral, and intracerebroventricular. In some embodiments, LSCs are transplanted into the mouse by intra-tibial injection.


The presence of cancer in the CSC engrafted rodent can be evaluated by enumerating the solid tumors and/or the cancer cells in various organs of the animal by, for example, flow cytometry or immunocytochemistry. In some instances, a biomarker profile of solid tumors from an engrafted rodent can be obtained to show that the rodent has developed cancer due to the engrafted CSCs.


IV. Examples

The following examples are offered to illustrate, but not to limit, the claimed invention.


Example 1. Leukemia Stem Cells (LSCs) in Acute Lymphoblastic Leukemia (ALL): Unveiling Hierarchical Structure at Single Cell Resolution

This example illustrates a novel method to isolate ALL LSCs based on their cellular metabolic activity. This example also shows that these isolated LSCs have in vivo leukemia-initiating capability (LIC). This example also describes a series of primary ALL xenograft mouse models generated from ALL patient samples and NOD/SCID/IL2Rγ−/− (NSG) mice.


Leukemia cells harvested from several generations of these mice were used in this study. LSCs and non-LSCs were isolated from 4 different B-cell type ALL samples and transplanted separately into healthy NSG mice. Cell numbers used varied between 5,000; 10,000; and 50,000 per mouse, and the number of the animals varied between three and eight per group. All the animals transplanted with LSCs developed leukemia between 5-14 weeks, whereas those transplanted with non-LSCs did not develop the disease within the same timeframe or by the end of the study.


In order to characterize and identify potential therapeutic targets of the LSCs, their transcriptome profile was investigated. First, genome-wide microarray gene expression profiling of RNA isolated from LSCs and non-LSCs using 4 ALL cell lines (Reh, JM1, Jurkat, and Molt4) was performed. There were 173 genes which showed at least a 2-fold difference in gene expression between LSCs and non-LSCs. Using a panel of primer sets for the 100 genes exhibiting the highest difference in expression, qRT-PCR was performed for these genes in the isolated LSCs and non-LSCs from 11 primary ALL samples (10 B-cell and 1 T-cell type) transplanted and harvested from the NSG xenograft mouse models at different generations. There was a distinct difference in the transcriptome profile between LSCs and non-LSCs in these primary ALL samples. Overall gene expression of 93 LSC signature genes was much lower in the LSCs than in the non-LSCs.


Recent advances in microfluidic technologies allows for the investigation of cells at single cell resolution. Growing evidence suggests that cancer stem cells consist of heterogeneous cell populations (subclones). Results using a primary ALL sample harvested from our xenograft mouse model and the Fluidigm C1™ and Biomark™ system indicate that there are at least two distinct subclones in the LSCs based on principal component analysis of the single cell data.


Materials and Methods


Reagents.


2-(N-(7-Nitrobenz-2-oxa-1, 3-diazol-4-yl) Amino)-2-Deoxyglucose (NBDG) was purchased from Life Technologies (Grand Island, N.Y.). Clinical-grade doxorubicin and vincristine (discarded after clinical use) were provided by the University of California (UC) Davis Pharmacy.


Cell Lines and Patient-Derived Leukemia Cells.


Four human ALL cell lines were used in this study: Jurkat (T-cell type ALL) provided by the Kit Lam laboratory at UC Davis and Reh (pre-B type ALL), JM1 (pre-B type ALL), and MOLT-4 (T-cell type ALL) were purchased from ATCC. Cells were maintained in 75 cm2 plastic tissue culture-treated flasks (Corning Inc., Corning, N.Y.) at 37° C. in a 5% CO2 incubator. The cell lines Jurkat, Reh, and MOLT-4 were grown in complete medium formulated with RPMI 1640 (Life Technologies, Carlsbad, Calif.) supplemented with 10% heat-inactivated fetal bovine serum (Thermo Scientific, Waltham, Mass.), 100 U/mL penicillin and 100 μg/mL streptomycin (Thermo Scientific), 0.25% D-glucose (Sigma-Aldrich, St Louis, Mo.), 1 mM sodium pyruvate (Thermo Scientific), and 10 mM HEPES buffer (Thermo Scientific). The cell line JM1 was grown in complete medium formulated with IMDM (Life Technologies) supplemented with 10% heat-inactivated fetal bovine serum (Thermo Scientific), 100 U/mL penicillin and 100 μg/mL streptomycin (Thermo Scientific), and 0.05 mM 2-mercaptoethanol (Life Technologies). Cells were manually washed and counted in PBS (Thermo Scientific) using trypan blue exclusion (0.04%, Sigma-Aldrich) and a hemocytometer. Cells were used within the first 25 passages and were maintained at their logarithmic phase of growth prior to each experiment.


Primary patient leukemia samples were collected from patients with informed consent based on the institutionally approved IRB protocol and transplanted into female NOD/SCID/IL2Rγ−/− (NSG) mice using our institutionally approved animal care protocol. As mice developed leukemia, they were sacrificed and leukemia cells were harvested from the leukemia-infiltrated spleen and bone marrow for experiments. Human leukemia cells were confirmed by flow cytometry using anti-HLA-ABC antibody (Biolegends, San Diego, Calif.).


Cell Isolation and Sorting.


Leukemic cells were resuspended in glucose-free Dulbecco's modified Eagle medium (DMEM) and incubated with NBDG at 37° C. in the dark for 30 minutes at 1 μL of 5 mg/mL NBDG per 3 million cells. After 30 minutes incubation, leukemic cells were washed with PBS. The cells were then stained with anti-HLA-APC antibody (Biolegends, San Diego, Calif.) and 4′,6-Diamidino-2-Phenylindole, Dilactate (DAPI) (Life Technologies, Grand Island, N.Y.) according to the manufacturer's protocols. NBDG low and high cells were sorted by Cytopeia InFlux™ Cell Sorter (BD Biosciences, San Jose, Calif.).


Colony Forming Assay.


Cell lines sorted by high or low uptake of NBDG were further used for in vitro colony forming assays. These assays were most commonly performed in 24-well plates. The base agar (0.5%) was made by heating dried agar powder (Sigma-Aldrich) in heated sterile water to form a 5% agar solution. While still hot, the 5% agar solution was mixed with warm complete cell culture media at 1:10 ratio and poured into each well in 0.5 mL aliquots. The base was allowed to cool at room temperature.


Before plating cells on the agar base, a top agarose solution was prepared and kept warm in a 37° C. bath. The top agarose solution (0.35%) was made by heating agarose powder in sterile water to form a 3.5% solution. This agarose solution was mixed with warm complete media at a 1:10 ratio.


Low-NBDG and high-NBDG cells were resuspended separately in the warm top agarose solution at 2,500 cells/mL. Each well was aliquoted with 0.5 mL of the cell/top agarose solution for a final count of 1,250 cells per well. The optimal seeding density had been previously determined in earlier titration experiments testing growth rate of colonies when seeding 500, 1,000, and 1,250 cells per well. Each population had triplicate wells seeded for counting. Colonies were counted every 3 days for up to 50 days after the initial seeding.


MTS Assay.


The 50% inhibitory concentrations (IC50) of doxorubicin and vincristine for four human ALL cell lines were determined by the CellTiter 96® AQueous Non-Radioactive Cell Proliferation Assay, which uses 3-(4,5-dimethylthiazol-2-yl)-5-β-carboxymethoxyphenyl)-2-(4-sulfophenyl)-2H-tetrazolium (MTS) (Promega, Madison, Wis.) and an electron coupling reagent, phenazine methosulfate (PMS) (Sigma-Aldrich, St. Louis, Mo.).


Cells were plated at 10,000 cells/50 μL complete medium/well in a 96-well tissue-culture treated plate in triplicate for each treatment condition. To determine the optimal plating density of 10,000 cells/well, an initial titration experiment was performed with 5,000, 10,000, 20,000, 40,000, and 80,000 cells/well in a 96-well tissue-culture treated plate in duplicate for each cell line. After the cells were incubated at 37° C. for 72 hours, the level of confluency within the well and the color change after the addition of MTS and PMS solutions were evaluated. Five concentrations of doxorubicin and vincristine were prepared from five-fold serial dilutions in complete medium. Then, 50 μL of each drug concentration was added to the medium in triplicate and cells were incubated at 37° C. for 72 hours. MTS (2 μg/μL) and PMS (0.92 μg/μL) solutions were prepared according to manufacturer's instructions. MTS and PMS solutions were mixed using a 20:1 (MTS:PMS) ratio before 10 μL was added to each well. After cells were incubated at 37° C. for an additional 2 to 4 hours, absorbance at 490 nm was measured using a microplate reader. Background absorbance of the medium was subtracted to obtain corrected absorbance values. The percentage of viable cells was calculated using the absorbance values relative to the untreated controls. The average IC50 values of doxorubicin and vincristine for each ALL cell line was calculated from three experiments using GraphPad Prism® Software (San Diego, Calif.).


For each experiment, the calculated IC50 values from adding MTS and using GraphPad Prism® Software were compared to the cell viability based on manual cell counting. Triplicate wells were combined and cells were manually washed and counted in PBS using trypan blue exclusion (0.04%, Sigma-Aldrich) and a hemocytometer. Cells from the following treatment conditions were manually counted: untreated controls, the most diluted drug concentration from the serial dilutions, the drug concentration similar to the calculated IC50 value, and the most concentrated drug concentration from the serial dilutions. The percentage of viable cells was calculated using the number of live cells relative to the untreated controls.


Leukemia Cell Transplantation.


Human leukemia mouse models from 11 ALL patient samples by intra-tibial injection. Cell numbers transplanted ranged from 100 to 2.5×106 cells per mouse. When the mouse developed leukemia, leukemia cells were harvested from the bone marrow as well as leukemia infiltrated spleen and liver, and transplanted into new NSG mice (2nd generation mice). 2nd, 3rd, 4th generation mice were made. By using leukemic cells harvested from these 11 xenograft mouse models (2nd to 4th generation), gene expression profiles were analyzed from RNA extracted from the sorted NBDG low and high cells. In addition, sorted cells from 6 xenograft mouse models were evaluated for their ability to promote leukemogenesis (the induction and development of leukemia). All leukemic cells engrafted in the new NSG mice.


Sorted cells from 6 different xenografted leukemia cells were transplanted into NSG mice by intra-tibial injections. The cell numbers varied between 100 to 50,000 cells per mouse depending on the cell numbers available. The number of mice per each series was 20 to 30 mice. Mice were monitored daily and euthanized when they showed signs of sickness. Leukemia cells were harvested from bone marrow, spleen or liver. The mice were checked daily for signs of sickness, such as unkempt fur, ataxia or weight loss of more than 20% of pre-treatment body weight, in accordance with IACUC policy on Humane Endpoints. These mice were euthanized and leukemia was confirmed by autopsy. In some instances, if the mice looked healthy, the mice were observed for up to an additional 4 months. Afterwards the mice were euthanized, and the presence of leukemia was evaluated by autopsy and flow cytometry.


RNA Isolation.


Human ALL xenografts and cell lines were enriched by cell sorting into culture medium, pelleted by centrifugation, and stored at −80° C. Total cellular RNA was isolated from the cell pellets (73,942-433,703 cells) using the TRIzol® reagent (Life Technologies) and a modified protocol that incorporates an additional extraction with phenol/chloroform/isoamyl alcohol (25:24:1, pH 4.3). RNA quantity and quality were assessed on a NanoDrop™ spectrophotometer (Thermo Scientific) and the Agilent 2100 Bioanalyzer (Agilent Technologies, Santa Clara, Calif.), respectively.


Microarray Gene Expression Profile.


Total RNA was extracted using TRIzol® reagent (Invitrogen) and RNA integrity evaluated by analysis with the Agilent 2100 Bioanalyzer (Agilent Technologies). Microarray analysis was performed by the UC Davis Comprehensive Cancer Center Genomics Shared Resource. Genome-wide expression profiling was performed using SurePrint® G3 Human Gene Expression 8×60K v2 Microarrays (Design ID 028004; Agilent Technologies) for the analysis of 27,958 Entrez Gene RNAs and 7,419 lincRNAs. Preparation of fluorescently-labeled cRNA samples and array hybridization, washing, and scanning were performed according to Agilent's optimized protocols. Briefly, the one-color Low Input Quick Amp Labeling protocol (Agilent Technologies) was used to prepare fluorescently-labeled cRNA from input RNA samples (100 ng) by T7 RNA Polymerase-based linear amplification and incorporation of Cyanine 3-CTP. Subsequently, labeled cRNA samples (1.65 μg) were fragmented, combined with Hi-RPM Hybridization Buffer, and then hybridized to arrays at 65° C. for 17 hours. Microarrays were washed with Agilent Gene Expression Wash Buffers 1 and 2 containing 0.005% Triton X-102 for 1 minute at room temperature and at 37° C., respectively. Microarray slides were then scanned with an Agilent G2565CA high-resolution scanner followed by data extraction with Agilent Feature Extraction software.


Microarray Data Analysis.


Data analysis was performed with the GeneSpring® GX (version 12) software suite (Agilent Technologies). Briefly, quantile normalization and log-transformation was applied to probe intensity values from the feature extraction files. Data was filtered on raw intensity values in the 20th-100th percentile of expression. Comparison analysis was then performed in order to identify genes that were differentially expressed between the different cell populations. Criteria for the selection of genes exhibiting expression changes included an average fold change of ≥1.5 between groups (i.e., low vs. high) with paired t-test results of p≤0.05. An LSC signature profile was arrived at by downstream filtering of the data for differentially expressed genes and lncRNAs that were either in common to LSCs (i.e., “Low” cell population) from multiple cell types or exhibited prominent expression changes in LSCs from a single cell type.


Single Cell Isolation and Preparation of cDNA Pre-Amplification Products.


Single-cell gene expression profiling analysis was performed utilizing the C1™ Single-Cell Auto Prep and BioMark™ HD Systems (Fluidigm Corporation, So. San Francisco, Calif.). For this, sorted LSC populations from ALL xenografts were microfluidically separated into single cells on the C1™ system fitted with an AutoPrep Integrated Fluidic Circuit (IFC; 5-10 μm size) for cell capture followed by cell lysis, reverse transcription, and pre-amplification with pooled DELTAgene™ assay primers (500 nM) and reagents from the Ambion® Single Cell-to-CT Kit (Life Technologies). Amplified cDNA products (3 μl) were harvested and diluted in DNA Dilution Reagent (Fluidigm Corporation).


Quantitative RT-PCR Analysis of Cell Sorted ALL Sub-Population Pools and Single-Cell Sample.


Bulk cell populations and single cells were analyzed for the expression of LSC signature genes with qRT-PCR using a custom-designed panel of DELTAgene™ assays (Fluidigm Corporation) with the BioMark HD system (Fluidigm Corporation). Real-time qPCR assays were performed with SsoFast™ EvaGreen® Supermix with Low ROX (Bio-Rad Laboratories, Hercules, Calif.) on the BioMark HD System (Fluidigm Corporation) using Dynamic Arrays™ IFCs (96.96). Data analysis was performed with Fluidigm Real-Time PCR Analysis Software and SINGuLAR™ Analysis Toolset 3.5 packages for delta delta Ct calculations secondary analyses including principal component analysis, analysis of variance (ANOVA), and hierarchical clustering.


Results


A. Characterization of the Isolated LSCs from ALL


Four ALL cell lines (JM1 [FIGS. 1A-C], Reh [FIGS. 2A-C], Jurkat [FIGS. 3A-C], and MOLT-4 [FIGS. 4A-C]) and one AML cell line (K562 [FIGS. 5A-B]) were sorted for low and high NBDG populations. For each sample 20 to 60×106 cells were grown and harvested during their logarithmic growth for cell sorting. Post-sort cell count showed that low NBDG cells ranged from 15,000 to 500,000 per sample (˜1% of the whole population). Low NBDG cells from cell lines and patient-derived samples were small in size. The cell diameters for high and low NBDG cells ranged from 7.41 to 13.99 μm, and from 4.21 to 7.41 μm, respectively. The low NBDG cells also showed lower HLA expression than the high NBDG cells.


In vitro colony forming assays were performed using 5 cell lines described above (FIGS. 1A, 2A, 3A, 4A and 5A). Colonies were first observed between 5-25 days in the high NBDG cells, while LSC colonies were first observed between 6-36 days in the low NBDG cells. Colonies were monitored and counted up to 50 days after seeding. The average colony counts for high:low NBDG cells were 16.25:7.33 for JM1, 12.17:6.54 for Reh, 5.5:1.33 for Jurkat, and 4.08:0.58 for MOLT-4. Primary ALL sorted cells did not grow colonies in the soft agar medium.


B. In Vivo Leukemia Initiating Capability of the Isolated LSCs


Low and high NBDG cells were isolated from 4 different B-cell type ALL patient samples (primary patient samples) and transplanted them separately into healthy NOD/SCID/IL-2Rγ−/− (NSG) mice (FIG. 11). Cell numbers used varied between 5,000, 10,000 and 50,000 per mouse, and the number of animals varied between three and eight per group. All the animals transplanted with low NBDG cells developed leukemia between 5-14 weeks (the median survival time of each different leukemia sample; #1 (4s90m; FIG. 12A) 53.5 days, #2 (2s96m; FIG. 12B) 36 days, #3 (4s86m; FIG. 12C) 82 days, #4 (3s83m; FIG. 12D) 98.5 days), whereas those transplanted with high NBDG cells did not develop the disease within the same timeframe or by the end of the study, which was more than 4 months after leukemia development in the LSC group (the median survival time of each different leukemia sample; #1 (4s90m; FIG. 12A) 187 days, #2 (2s96m; FIG. 12B) 173.5 days, #3 (4s86m; FIG. 12C) 171 days, #4 (3s83m; FIG. 12D) 193 days). All of the mice except one (3s83m) of the high NBDG groups did not develop leukemia and they survived significantly longer than the low NBDG groups (until the endpoint of the studies) (p=0.0018-0.01 by log-rank test). At the end of the study, the mice of the high NBDG group except from 3s83m were sacrificed and none exhibited evidence of leukemia. Transplantation was also performed using a much smaller cell dose of 100 cells per mouse in 2 samples (FIGS. 13A and 13B). Some animals developed leukemia in the low NBDG cell transplanted group, whereas all animals except one from the 3s89m did not develop leukemia in the high NBDG transplanted group.


C. Transcriptome Assays


Genome-wide microarray gene expression profiling of RNA isolated from the LSCs and non-LSCs was performed using 4 ALL cell lines (Reh, JM1, Jurkat, and Molt4). There were 173 genes which showed at least 2-fold difference in gene expression between the LSCs and non-LSCs. Using a panel of primer sets for the 93 genes exhibiting the highest difference in expression, qRT-PCR was performed for these genes in the isolated LSCs and non-LSCs from 11 primary ALL samples (10 B-cell and 1 T-cell type ALL patient samples) transplanted and harvested from the NSG xenograft mouse models at different generations. There was a distinct difference in the transcriptome profile between the LSCs and non-LSCs in these primary ALL samples. Overall gene expression of 93 LSC signature genes was much lower in the LSCs than in the non-LSCs (Table 1).


D. Single Cell Transcriptome Profiling Indicates Subclones in the LSCs


Recent advances in microfluidic technologies allowed us to investigate cells at single cell resolution. Growing evidence suggests that cancer stem cells consist of heterogeneous cell populations (subclones). Therefore, using the Fluidigm C1™ and Biomark™ system it was investigated whether these isolated LSCs have subclones.


The expression level of 93 stem cell markers listed in Table 2 which were previously tested in the bulk (pooled) LSC and non-LSC samples described above were detected in single cells from 3 different ALL samples. The data shows that there are heterogeneous populations with different transcriptome profiles (of these 93 genes), thereby suggesting the existence of LSC subclones (FIGS. 14-16). In the 3 primary ALL samples harvested from the xenograft mouse models, there are at least two distinct subclones of the LSCs in each of the 3 primary ALL samples analyzed (FIGS. 14-16). Additionally, the profile of each subclone is different among the 3 different ALL samples, i.e., the number of subclones and transcriptome profile of each clone.


E. Neuroblastoma


Glucose uptake using NBDG was tested in neuroblastoma cells. Very similar results to the leukemia study were observed. A distinct cell population, which is NBDG low, was identified in 5 different neuroblastoma cell lines (SK-NB-E ([FIGS. 6A-C], SK-N-DZ [FIGS. 7A-C], IMR32 [FIG. 8A-C], SK-N-SH [FIG. 9A-B], SH-SY5Y [FIG. 10A-C]). These cells are, in general, smaller in size compared to the high NBDG cells (FIGS. 6C, 7C, 8C, and 10C). The low NBDG cells formed colonies, but fewer and slower than the high NBDG cells (FIGS. 7A, 8A, 9A, and 10A). MTS assay showed that these low NBDG low cells were more resistant to chemotherapy drugs (e.g., vincristine or doxorubicin) than the high NBDG cells.


In summary, this example illustrates a novel method to isolate acute lymphoblastic leukemia stem cells (LSCs) which have in vivo leukemia-inducing capacity. The example demonstrates that isolated LSCs have a distinct transcriptome profile, and shows that the LSCs consist of subclones. The results also show that low NBDG cells are quiescent leukemia stem cells. This example shows that cancer stem cells from various neuroblastoma cell lines can also be isolated based on the glucose uptake as measured by NBDG fluorescence. As with LSCs, neuroblastoma stem cells have low level of NBDG fluorescence compared to other neuroblastoma cells.


These isolated cancer stem cells may be used to identify and develop CSC-targeted therapeutics, including subclone-specific targeted drugs. In addition, methods for detecting cancer stem cells, including specific subtypes or subpopulations may be used to diagnose a specific type of cancer, to monitor cancer progression and therapeutic response, or to distinguish normal and malignant cell pools in a subject.


Example 2. Leukemia Stem Cells (LSCs) in B-Cell Acute Lymphoblastic Leukemia (B-Cell ALL)

This example describes the results of a genome-wide microarray gene expression profiling of RNA isolated from the JM1 cell line. The experimental procedures are described in Example 1. Briefly, JM1 cells were treated with NBDG and FACS sorted to isolate two cell populations: a low NBDG group and a high NBDG group. The cells of each group were subject to transcriptome analysis using a gene expression microarray (SurePrint® G3 Human Gene Expression 8×60K v2 Microarray, Agilent Technologies). The data is provided in Table 3. There was an average fold change of ≥1.5 between the groups (i.e., low NBDG vs. high NBDG) with paired t-test results of p≤0.05. 80 genes exhibited a differential expression level between B-cell ALL stem cells and non-B-cell ALL stem cells. The expression level difference for each of the 80 genes was statistically significant.


Example 3. Leukemia Stem Cells (LSCs) in T-Cell Acute Lymphoblastic Leukemia (T-Cell ALL)

This example describes the results of a genome-wide microarray gene expression profiling of RNA isolated from the Molt4 cell line. The experimental procedures are described in Example 1. Briefly, Molt4 cells were treated with NBDG and FACS sorted to isolate two cell populations: a low NBDG group and a high NBDG group. The cells of each group were subject to transcriptome analysis using a gene expression microarray (SurePrint® G3 Human Gene Expression 8×60K v2 Microarray, Agilent Technologies). The data is provided in Table 4. There was an average fold change of ≥1.5 between the groups (i.e., low NBDG vs. high NBDG) with paired t-test results of p≤0.05. 105 genes exhibited a differential expression level between T-cell ALL stem cells and non-T-cell ALL stem cells. The expression level difference for each of the 105 genes was statistically significant.


Although the foregoing invention has been described in some detail by way of illustration and example for purposes of clarity of understanding, one of skill in the art will appreciate that certain changes and modifications may be practiced within the scope of the appended claims. In addition, each reference provided herein is incorporated by reference in its entirety to the same extent as if each reference was individually incorporated by reference.

Claims
  • 1. A method for selecting cancer stem cells from a sample, the method comprising (a) incubating the sample with a fluorescent glucose analog under suitable conditions, wherein the sample is a biological sample obtained from a subject with acute lymphoblastic leukemia (ALL) or a cell culture sample comprising cells from an ALL cell line, and wherein the sample comprises cancer stem cells and non-cancer stem cells; b) measuring or detecting the level of fluorescence in the sample; and (c) selecting the cancer stem cells from the sample based upon a lower level of fluorescence compared to the non-cancer stem cells.
  • 2. The method of claim 1, further comprising isolating the cancer stem cells.
  • 3. The method of claim 1, wherein the cancer stem cells are capable of initiating cancer in an animal model.
  • 4. The method of claim 1, wherein the non-cancer stem cells have highly efficient glucose uptake.
  • 5. The method of claim 1, wherein the biological sample is selected from the group consisting of bone marrow, blood, plasma, serum, cerebrospinal fluid, a tumor biopsy, a tissue biopsy, a fine needle aspirate, circulating tumor cells, and combinations thereof.
  • 6. The method of claim 1, wherein the acute lymphoblastic leukemia (ALL) is B-cell ALL or T-cell ALL.
  • 7. The method of claim 1, wherein the fluorescent glucose analog is selected from the group consisting of 2-[N-(7-nitrobenz-2-oxa-1,3-diaxol-4-yl)amino]-2-deoxyglucose (2-NBDG), 6-deoxy-N-(7-nitrobenz-2-oxa-1,3-diazol-4-yl)aminoglucose (6-NBDG), pyro-2DG, Cy5.5-D-glucosamine (Cy5.5-2DG), Cy3-linked O-1-glycosylated glucose (Cy3-α-glucose and Cy3-β-glucose), IRDye 800CW 2-DG, CyNE 2-DG, GB3-Cy3, other fluorescent glucose analogs, and combinations thereof.
  • 8. The method of claim 1, wherein the cancer stem cells are selected using flow cytometry.
  • 9. The method of claim 1, wherein the lower level of fluorescence of the cancer stem cells is at least about 1-log lower compared to the non-cancer stem cells.
CROSS-REFERENCES TO RELATED APPLICATIONS

This application is a continuation of International Patent Application No. PCT/US2015/059269, filed Nov. 5, 2015, which claims priority to U.S. Provisional Application No. 62/075,751, filed Nov. 5, 2014, which applications are incorporated herein by reference in their entirety for all purposes.

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Related Publications (1)
Number Date Country
20180011100 A1 Jan 2018 US
Provisional Applications (1)
Number Date Country
62075751 Nov 2014 US
Continuations (1)
Number Date Country
Parent PCT/US2015/059269 Nov 2015 US
Child 15586594 US