LEUKEMIA STEM CELL MARKERS

Abstract
The invention provides a test method for predicting the initial onset or a recurrence of acute myeloid leukemia (AML) comprising (1) measuring the expression level of human leukemic stem cell (LSC) marker genes in a biological sample collected from a subject for a transcription product or translation product of the gene as an analyte and (2) comparing the expression level with a reference value; an LSC-targeting therapeutic agent for AML capable of suppressing the expression of a gene selected from among LSC marker genes or a substance capable of suppressing the activity of a translation product of the gene; a method for producing a sample containing hematopoietic cells for autologous transplantation or allogeneic transplantation for AML patients, comprising obtaining an LSC-purged sample with at least 1 kind of LSC marker as an index; and a method of preventing or treating AML.
Description
INCORPORATION-BY-REFERENCE OF MATERIAL ELECTRONICALLY SUBMITTED

Incorporated by reference in its entirety herein is a computer-readable nucleotide/amino acid sequence listing submitted concurrently herewith and identified as follows: 50,262 bytes ASCII (Text) file named “716449SequenceListing.txt,” created Mar. 20, 2014.


TECHNICAL FIELD

The present invention relates to leukemic stem cell markers and the field of treatment of acute myeloid leukemia.


BACKGROUND ART

Acute myeloid leukemia (AML) is the most common/highly frequent (onset rate) adult leukemia, characterized by the clonal expansion of immature myeloblasts initiating from rare leukemic stem cells (LSCS) (non-patent documents 1-3). The functional and molecular characteristics of human LSCS are largely undetermined. Although conventional chemotherapeutic agents can temporarily remit AML, recurrence later is the difficult problem that prevents us from helping patients. For the development of an effective therapeutic agent or treatment method, elucidation of the recurrence mechanism by clarifying the leukemia features unknown to date is strongly desired.


A recent study demonstrated that a certain ratio of leukemias and cancers consists of a heterogenous cell fraction and is not configured with a homogenous cell population capable of clonal proliferation. Lapidot and Dick identified such heterogeneity in acute myeloid leukemia (AML) and reported that CD34+CD38− cells are transplanted selectively in CB17-scid and NOD/SCID mice (Non-patent Document 4).


The present inventors have succeeded in the development of an animal model capable of reproducing features of human, rather than mouse, AML, particularly AML of individual patients, rather than a cell line, and permitting long-term assessment (Non-patent Document 5, Patent Application PCT/JP2008/068892). The present inventors further identified using a neonatal NOD/SCID/IL2rg KO mouse model, which is one of the most sensitive human stem cell assays, that CD34+CD38− AML cells meet all criteria for cancer stem cells recommended by the American Association for Cancer Research (Non-patent Document 6). Specifically, CD34+CD38− AML cells self-renew, produce non-stem leukemia cells, and have the exclusive capability of causing AML in living organisms. By repeating primary human AML in NOD/SCID/IL2rg KO mice, the present inventors searched for the mechanism behind the chemotherapy resistance and recurrences, which pose the most important problem in the reality of this disease, and identified the following two essential features of human AML stem cells. First, AML stem cells are present predominantly in the endosteal region of the bone marrow; when human AML transplantation recipient mice were treated with chemotherapeutic agents, the great majority of chemotherapy-resistant AML cells were found in osteoblast niches. Second, AML stem cells (not CD34+CD38+ and CD34−AML cells) are stationary and hence exhibit resistance to cell cycle-dependent chemotherapeutic agents. These histological experiments and cell cycle analyses agree with the clinical evidence that a large number of AML patients achieve remission via chemotherapy induction but eventually experience recurrences. To develop a novel therapeutic strategy designed to exterminate LSCS seems to be an exact step toward overcoming recurrences of AML.


PRIOR ART REFERENCES
Non-Patent Documents



  • non-patent document 1: Passegue, E., Jamieson, C. H., Ailles, L. E. & Weissman, I. L. Normal and leukemic hematopoiesis: are leukemias a stem cell disorder or a reacquisition of stem cell characteristics? Proc Natl Acad Sci USA 100 Suppl 1, 11842-11849 (2003).

  • non-patent document 2: Hope, K. J., Jin, L. & Dick, J. E. Acute myeloid leukemia originates from a hierarchy of leukemic stem cell classes that differ in self-renewal capacity. Nat Immunol 5, 738-743 (2004).

  • non-patent document 3: Jordan, C. T. & Guzman, M. L. Mechanisms controlling pathogenesis and survival of leukemic stem cells. Oncogene 23, 7178-7187 (2004).

  • non-patent document 4: Lapidot, T. et al. A cell initiating human acute myeloid leukaemia after transplantation into SCID mice. Nature 367, 645-648 (1994).

  • non-patent document 5: Ishikawa, F. et al. Chemotherapy-resistant human AML stem cells home to and engraft within the bone marrow endosteal region. Nature Biotechnol 25:1315-1321 (2007).

  • non-patent document 6: Clarke, M. F. et al. Cancer stem cells—perspectives on current status and future directions: AACR Workshop on cancer stem cells. Cancer Res 66, 9339-9344 (2006).



SUMMARY OF THE INVENTION
Problems to Be Solved by the Invention

A problem to be solved is to find a molecular target that is specific for human leukemic stem cells (LSCS) and provide a therapeutic means that will lead to radical treatment of acute myeloid leukemia (AML) and the like.


Means of Solving the Problems

The present inventors found sets of genes differentially expressed between LSCS and non-stem cells, and proposed the possibility that these genes serve as therapeutic targets for AML (Ishikawa F. et al., Nature Biotechnol 25:1315-1321, 2007 and PCT/JP2008/068892), but were unable to rule out the possibility that the genes are at the same time differentially expressed in normal hematopoietic stem cells (HSCs) as well. Hence, a therapeutic agent and therapeutic method for AML with low prevalence of adverse reactions cannot be realized unless not only a comparison is made between LSCS and non-stem cells, but also a set of genes that are differentially expressed between LSCS and HSCs are identified as targets. The present inventors succeeded in developing a mouse model enabling reproduction of human AML (mice generated by transplanting a fraction containing leukemic stem cells derived from a human AML patient to NOD/SCID/IL2rgnull mice), transplanting a small number of bone marrow cells derived from an AML patient, and reconstructing the pathology of AML in the animal model. The present inventors then prepared LSCS derived from an AML patient and those from an AML transplantation recipient mouse, as well as bone marrow samples and cord blood samples (HSCs are contained) derived from healthy donors, conducted a comprehensive analysis, and have developed the present invention.


Accordingly, the present invention provides the following.


[1] A test method for predicting the initial onset or a recurrence of acute myeloid leukemia, comprising


(1) a step of measuring the expression level of leukemic stem cell marker genes in a biological sample collected from a subject for a transcription product or translation product of the genes as an analyte, and


(2) a step of comparing the expression levels obtained in the measuring step with a reference value;


wherein the leukemic stem cell marker genes are 2-218 genes selected from the group consisting of:


cell membrane- or extracellularly-localized genes consisting of ADFP, ALOX5AP, AZU1, C3AR1, CACNB4, CALCRL, CCL4, CCL5, CD33, CD36, CD3D, CD86, CD9, CD93, CD96, CD97, CFD, CHI3L1, CLEC12A, CLECL1, COCH, CST7, CXCL1, DOK2, EMR2, FCER1G, FCGR2A, FUCA2, GPR109B, GPR160, GPR34, GPR84, HAVCR2, HBEGF, HCST, HGF, HLA-DOB, HOMER3, IFI30, IL13RA1, IL2RA, IL2RG, IL3RA, INHBA, ITGB2, LGALS1, LRG1, LY86, MAMDC2, MGAT4A, P2RY14, P2RY5, PLAUR, PPBP, PRG2, PRSS21, PTH2R, PTX3, REEP5, RNASE2, RXFP1, SLC31A2, SLC43A3, SLC6A6, SLC7A6, STX7, SUCNR1, TACSTD2, TIMP1, TM4SF1, TM9SF1, TNF, TNFRSF4, TNFSF13B, TYROBP, UTS2 and VNN1; cell cycle-related genes consisting of AURKA, C13orf34, CCNA1, DSCC1, FAM33A, HPGD, NEK6, PYHIN1, RASSF4, TXNL4B and ZWINT; apoptosis-related genes consisting of MPO, IER3, BIK, TXNDC1, GADD45B and NAIP; signaling-related genes consisting of AK5, ARHGAP18, ARRB1, DUSP6, FYB, HCK, LPXN, MS4A3, PAK11P1, PDE9A, PDK1, PRKAR1A, PRKCD, PXK, RAB20, RAB8A, RABIF, RASGRP3, RGS18 and S100A11; transcription factor genes consisting of WT1, MYC and HLX; and other genes consisting of ACTR2, ALOX5, ANXA2P2, ATL3, ATP6V1B2, ATP6V1C1, ATP6V1D, C12orf5, C17orf60, C18orf19, C1GALT1C1, C1orf135, C1orf163, C1orf186, C6orf150, CALML4, CCT5, CLC, COMMD8, COTL1, COX17, CRIP1, CSTA, CTSA, CTSC, CTSG, CYBB, CYP2E1, DENND3, DHRS3, DLAT, DLEU2, DPH3, EFHD2, ENC1, EXOSC3, FAM107B, FAM129A, FAM38B, FBXO22, FLJ14213, FNDC3B, GNPDA1, GRPEL1, GTSF1, HIG2, HN1, HVCN1, IDH1, IDH3A, IKIP, KIF2C, KYNU, LCMT2, ME1, MIRN21, MKKS, MNDA, MTHFD2, MYO1B, MYO1F, NAGA, NCF2, NCF4, NDUFAF1, NP, NRIP3, OBFC2A, PARP8, PDLIM1, PDSS1, PGM2, PIGK, PIWIL4, PPCDC, PPIF, PRAME, PUS7, RPP40, RRM2, S100A16, S100A8, S100P, S100Z, SAMHD1, SH2D1A, SPCS2, SPPL2A, TESC, THEX1, TMEM30A, TMEM33, TRIP13, TUBB6, UBASH3B, UGCG, VSTM1, WDR4, WIT1, WSB2 and ZNF253;


and wherein when the expression of two or more leukemic stem cell marker genes in the subject is significantly higher than the reference value, a possible presence of a leukemic stem cell in the collected biological sample or the subject's body is suggested.


[2] The test method according to [1], wherein the leukemic stem cell marker genes are 2-58 genes selected from the group consisting of:


cell membrane- or extracellularly-localized genes consisting of ADFP, ALOX5AP, CACNB4, CCL5, CD33, CD3D, CD93, CD97, CLEC12A, DOK2, FCER1G, FCGR2A, FUCA2, GPR34, GPR84, HCST, HGF, HOMER3, IL2RA, IL2RG, IL3RA, ITGB2, LGALS1, LRG1, LY86, MGAT4A, P2RY5, PRSS21, PTH2R, RNASE2, SLC43A3, SUCNR1, TIMP1, TNF, TNFRSF4, TNFSF13B, TYROBP and VNN1; cell cycle-related genes consisting of ZWINT, NEK6 and TXNL4B; an apoptosis-related gene consisting of BIK; signaling-related genes consisting of AK5, ARHGAP18, FYB, HCK, LPXN, PDE9A, PDK1, PRKCD, RAB20, RAB8A and RABIF; transcription factor genes consisting of WT1 and HLX; and other genes consisting of CYBB, CTSC and NCF4.


[3] A therapeutic agent for acute myeloid leukemia that targets leukemic stem cells, comprising as an active ingredient a substance capable of suppressing the expression of a gene selected from among leukemic stem cell marker genes consisting of the following set of genes:


cell membrane- or extracellularly-localized genes consisting of ADFP, ALOX5AP, AZU1, C3AR1, CACNB4, CALCRL, CCL4, CCL5, CD33, CD36, CD3D, CD86, CD9, CD93, CD96, CD97, CFD, CHI3L1, CLEC12A, CLECL1, COCH, CST7, CXCL1, DOK2, EMR2, FCER1G, FCGR2A, FUCA2, GPR109B, GPR160, GPR34, GPR84, HAVCR2, HBEGF, HCST, HGF, HLA-DOB, HOMER3, IFI30, IL13RA1, IL2RA, IL2RG, IL3RA, INHBA, ITGB2, LGALS1, LRG1, LY86, MAMDC2, MGAT4A, P2RY14, P2RY5, PLAUR, PPBP, PRG2, PRSS21, PTH2R, PTX3, REEP5, RNASE2, RXFP1, SLC31A2, SLC43A3, SLC6A6, SLC7A6, STX7, SUCNR1, TACSTD2, TIMP1, TM4SF1, TM9SF1, TNF, TNFRSF4, TNFSF13B, TYROBP, UTS2 and VNN1; cell cycle-related genes consisting of AURKA, C13orf34, CCNA1, DSCC1, FAM33A, HPGD, NEK6, PYHIN1, RASSF4, TXNL4B and ZWINT; apoptosis-related genes consisting of MPO, IER3, BIK, TXNDC1, GADD45B and NAIP;


signaling-related genes consisting of AK5, ARHGAP18, ARRB1, DUSP6, FYB, HCK, LPXN, MS4A3, PAK1IP1, PDE9A, PDK1, PRKAR1A, PRKCD, PXK, RAB20, RAB8A, RABIF, RASGRP3, RGS18 and S100A11; transcription factor genes consisting of WT1, MYC and HLX; and other genes consisting of ACTR2, ALOX5, ANXA2P2, ATL3, ATP6V1B2, ATP6V1C1, ATP6V1D, C12orf5, C17orf60, C18orf19, C1GALT1C1, C1orf135, C1orf163, C1orf186, C6orf150, CALML4, CCT5, CLC, COMMD8, COTL1, COX17, CRIP1, CSTA, CTSA, CTSC, CTSG, CYBB, CYP2E1, DENND3, DHRS3, DLAT, DLEU2, DPH3, EFHD2, ENC1, EXOSC3, FAM107B, FAM129A, FAM38B, FBXO22, FLJ14213, FNDC3B, GNPDA1, GRPEL1, GTSF1, HIG2, HN1, HVCN1, IDH1, IDH3A, IKIP, KIF2C, KYNU, LCMT2, ME1, MIRN21, MKKS, MNDA, MTHFD2, MYO1B, MYO1F, NAGA, NCF2, NCF4, NDUFAF1, NP, NRIP3, OBFC2A, PARP8, PDLIM1, PDSS1, PGM2, PIGK, PIWIL4, PPCDC, PPIF, PRAME, PUS7, RPP40, RRM2, S100A16, S100A8, S100P, S100Z, SAMHD1, SH2D1A, SPCS2, SPPL2A, TESC, THEX1, TMEM30A, TMEM33, TRIP13, TUBB6, UBASH3B, UGCG, VSTM1, WDR4, WIT1, WSB2 and ZNF253; or a substance capable of suppressing the activity of a translation product of the gene.


[4] The therapeutic agent according to [3], wherein the leukemic stem cell marker gene is selected from the group consisting of:


cell membrane- or extracellularly-localized genes consisting of ADFP, ALOX5AP, CACNB4, CCL5, CD33, CD3D, CD93, CD97, CLEC12A, DOK2, FCER1G, FCGR2A, FUCA2, GPR34, GPR84, HCST, HGF, HOMER3, IL2RA, IL2RG, IL3RA, ITGB2, LGALS1, LRG1, LY86, MGAT4A, P2Ry5, PRSS21, PTH2R, RNASE2, SLC43A3, SUCNR1, TIMP1, TNF, TNFRSF4, TNFSF13B, TYROBP and VNN1; cell cycle-related genes consisting of ZWINT, NEK6 and TXNL4B; an apoptosis-related gene consisting of BIK; signaling-related genes consisting of AK5, ARHGAP18, FYB, HCK, LPXN, PDE9A, PDK1, PRKCD, RAB20, RAB8A and RABIF; transcription factors consisting of WT1 and HLX; and other genes consisting of CYBB, CTSC and NCF4.


[5] The therapeutic agent according to [3], wherein the leukemic stem cell marker gene is selected from the group consisting of: cell membrane- or extracellularly-localized genes consisting of ALOX5AP, CACNB4, CCL5, CD33, CD3D, CD93, CD97, CLEC12A, DOK2, FCGR2A, GPR84, HCST, HOMER3, ITGB2, LGALS1, LRG1, PTH2R, RNASE2, TNF, TNFSF13B, TYROBP and VNN1; a cell cycle-related gene consisting of NEK6; an apoptosis-related gene consisting of BIK; signaling-related genes consisting of AK5, FYB, HCK, LPXN, PDE9A, PDK1, PRKCD and RAB20; a transcription factor gene consisting of WT1; and other genes consisting of CTSC and NCF4.


[6] The therapeutic agent according to [3], wherein the leukemic stem cell marker gene is a marker expressed in stem cells that are present in bone marrow niches, are in the stationary phase of cell cycle, and are resistant to anticancer agents, selected from the group consisting of AK5, BIK, DOK2, FCGR2A, IL2RA, LRG1, SUCNR1 and WT1.


[7] The therapeutic agent according to any one of [3] to [6], wherein the substance capable of suppressing the expression of the gene is an antisense nucleic acid or an RNAi-inducible nucleic acid.


[8] The therapeutic agent according to any one of [3] to [6], wherein the substance capable of suppressing the activity of a translation product is an aptamer or an antibody.


[9] The therapeutic agent according to [8], wherein the antibody is an immunoconjugate of an antibody and an anticancer substance.


[10] A production method of a sample containing hematopoietic cells for autologous transplantation or allogeneic transplantation for a patient with acute myeloid leukemia, comprising:


a) a step of collecting a sample containing hematopoietic cells from the patient or a donor;


b) a step of bringing the collected sample into contact with a substance that recognizes a translation product of at least one kind of leukemic stem cell marker gene selected from among the following set of genes:


cell membrane- or extracellularly-localized genes consisting of ADFP, ALOX5AP, AZU1, C3AR1, CACNB4, CALCRL, CCL4, CCL5, CD33, CD36, CD3D, CD86, CD9, CD93, CD96, CD97, CFD, CHI3L1, CLEC12A, CLECL1, COCH, CST7, CXCL1, DOK2, EMR2, FCER1G, FCGR2A, FUCA2, GPR109B, GPR160, GPR34, GPR84, HAVCR2, HBEGF, HCST, HGF, HLA-DOB, HOMER3, IFI30, IL13RA1, IL2RA, IL2RG, IL3RA, INHBA, ITGB2, LGALS1, LRG1, LY86, MAMDC2, MGAT4A, P2RY14, P2RY5, PLAUR, PPBP, PRG2, PRSS21, PTH2R, PTX3, REEP5, RNASE2, RXFP1, SLC31A2, SLC43A3, SLC6A6, SLC7A6, STX7, SUCNR1, TACSTD2, TIMP1, TM4SF1, TM9SF1, TNF, TNFRSF4, TNFSF13B, TYROBP, UTS2 and VNN1; cell cycle-related genes consisting of AURKA, C13orf34, CCNA1, DSCC1, FAM33A, HPGD, NEK6, PYHIN1, RASSF4, TXNL4B and ZWINT; apoptosis-related genes consisting of MPO, IER3, BIK, TXNDC1, GADD45B and NAIP;


signaling-related genes consisting of AK5, ARHGAP18, ARRB1, DUSP6, FYB, HCK, LPXN, MS4A3, PAK11P1, PDE9A, PDK1, PRKAR1A, PRKCD, PXK, RAB20, RAB8A, RABIF, RASGRP3, RGS18 and S100A11; transcription factor genes consisting of WT1, MYC and HLX; and other genes consisting of ACTR2, ALOX5, ANXA2P2, ATL3, ATP6V1B2, ATP6V1C1, ATP6V1D, C12orf5, C17orf60, C18orf19, C1GALT1C1, C1orf135, C1orf163, C1orf186, C6orf150, CALML4, CCT5, CLC, COMMD8, COTL1, COX17, CRIP1, CSTA, CTSA, CTSC, CTSG, CYBB, CYP2E1, DENND3, DHRS3, DLAT, DLEU2, DPH3, EFHD2, ENC1, EXOSC3, FAM107B, FAM129A, FAM38B, FBXO22, FLJ14213, FNDC3B, GNPDA1, GRPEL1, GTSF1, HIG2, HN1, HVCN1, IDH1, IDH3A, IKIP, KIF2C, KYNU, LCMT2, ME1, MIRN21, MKKS, MNDA, MTHFD2, MYO1B, MYO1F, NAGA, NCF2, NCF4, NDUFAF1, NP, NRIP3, OBFC2A, PARP8, PDLIM1, PDSS1, PGM2, PIGK, PIWIL4, PPCDC, PPIF, PRAME, PUS7, RPP40, RRM2, S100A16, S100A8, S100P, S100Z, SAMHD1, SH2D1A, SPCS2, SPPL2A, TESC, THEX1, TMEM30A, TMEM33, TRIP13, TUBB6, UBASH3B, UGCG, VSTM1, WDR4, WIT1, WSB2 and ZNF253; and


c) a step of sorting cells to which the substance has bound, and obtaining the sample from which leukemic stem cells have been purged.


[11] The production method according to [10], wherein the leukemic stem cell marker is at least one kind of cell surface marker gene selected from among ADFP, ALOX5AP, CACNB4, CD33, CD3D, CD93, CD97, CLEC12A, DOK2, FCER1G, FCGR2A, GPR34, GPR84, HCST, HOMER3, IL2RA, IL2RG, IL3RA, ITGB2, LY86, P2RY5, PTH2RY, SUCNR1, TNFRSF4, TYROBP and VNN1.


[12] A method for preventing or treating acute myeloid leukemia that targets leukemic stem cells, comprising administering, to a subject, an effective amount of a substance capable of suppressing the expression of a gene selected from among leukemic stem cell marker genes consisting of the following set of genes:


cell membrane- or extracellularly-localized genes consisting of ADFP, ALOX5AP, AZU1, C3AR1, CACNB4, CALCRL, CCL4, CCL5, CD33, CD36, CD3D, CD86, CD9, CD93, CD96, CD97, CFD, CHI3L1, CLEC12A, CLECL1, COCH, CST7, CXCL1, DOK2, EMR2, FCER1G, FCGR2A, FUCA2, GPR109B, GPR160, GPR34, GPR84, HAVCR2, HBEGF, HCST, HGF, HLA-DOB, HOMER3, IFI30, IL13RA1, IL2RA, IL2RG, IL3RA, INHBA, ITGB2, LGALS1, LRG1, LY86, MAMDC2, MGAT4A, P2RY14, P2RY5, PLAUR, PPBP, PRG2, PRSS21, PTH2R, PTX3, REEP5, RNASE2, RXFP1, SLC31A2, SLC43A3, SLC6A6, SLC7A6, STX7, SUCNR1, TACSTD2, TIMP1, TM4SF1, TM9SF1, TNF, TNFRSF4, TNFSF13B, TYROBP, UTS2 and VNN1; cell cycle-related genes consisting of AURKA, C13orf34, CCNA1, DSCC1, FAM33A, HPGD, NEK6, PYHIN1, RASSF4, TXNL4B and ZWINT; apoptosis-related genes consisting of MPO, IER3, BIK, TXNDC1, GADD45B and NAIP;


signaling-related genes consisting of AK5, ARHGAP18, ARRB1, DUSP6, FYB, HCK, LPXN, MS4A3, PAK11P1, PDE9A, PDK1, PRKAR1A, PRKCD, PXK, RAB20, RAB8A, RABIF, RASGRP3, RGS18 and S100A11; transcription factor genes consisting of WT1, MYC and HLX; and other genes consisting of ACTR2, ALOX5, ANXA2P2, ATL3, ATP6V1B2, ATP6V1C1, ATP6V1D, C12orf5, C17orf60, C18orf19, C1GALT1C1, C1orf135, C1orf163, C1orf186, C6orf150, CALML4, CCT5, CLC, COMMD8, COTL1, COX17, CRIP1, CSTA, CTSA, CTSC, CTSG, CYBB, CYP2E1, DENND3, DHRS3, DLAT, DLEU2, DPH3, EFHD2, ENC1, EXOSC3, FAM107B, FAM129A, FAM38B, FBXO22, FLJ14213, FNDC3B, GNPDA1, GRPEL1, GTSF1, HIG2, HN1, HVCN1, IDH1, IDH3A, IKIP, KIF2C, KYNU, LCMT2, ME1, MIRN21, MKKS, MNDA, MTHFD2, MYO1B, MYO1F, NAGA, NCF2, NCF4, NDUFAF1, NP, NRIP3, OBFC2A, PARP8, PDLIM1, PDSS1, PGM2, PIGK, PIWIL4, PPCDC, PPIF, PRAME, PUS7, RPP40, RRM2, S100A16, S100A8, S100P, S100Z, SAMHD1, SH2D1A, SPCS2, SPPL2A, TESC, THEX1, TMEM30A, TMEM33, TRIP13, TUBB6, UBASH3B, UGCG, VSTM1, WDR4, WIT1, WSB2 and ZNF253; or a substance capable of suppressing the activity of a translation product of the gene.


Effect of the Invention

The present invention has been developed as a result of succeeding in analyzing the comprehensive expression profiling of leukemic stem cells (LSCS) derived from human primary AML, and identifying LSC-specific targets for separating LSCS from HSCs. Therefore, the leukemic stem cell markers found in the present invention make it possible not only to distinguish between non-stem cells and LSCS, but also to distinguish between normal hematopoietic stem cells (HSCs) and LSCS, which have been thought to be difficult to distinguish from each other. By using a leukemic stem cell marker found in the present invention as a molecular target, a therapeutic agent that acts specifically on LSCS that are the source of onset or recurrence of AML can be provided.


Also, it is possible to specifically remove LSCS from bone marrow cells of a patient or a donor using a cell sorter such as FACS, with a leukemic stem cell marker found in the present invention as an index. This will lead to the effective removal of the true source of onset or recurrences of AML. Therefore, recurrences of AML can be prevented significantly.


Furthermore, the presence or absence of LSCS in a collected biological sample or in a body can be determined with a leukemic stem cell marker found in the present invention as an index, whereby recurrences or the initial onset of acute myeloid leukemia can also be predicted.





BRIEF DESCRIPTION OF THE DRAWINGS

The patent or application file contains at least one drawing executed in color. Copies of this patent or patent application publication with color drawing(s) will be provided by the Office upon request and payment of the necessary fee.



FIG. 1 shows the results of transplantation of normal CD34+CD38− HSCs and AML CD34+CD38− LSCS. (Upper panel) Transplantation of normal CD34+CD38− cells resulted in efficient reconstitution of human CD45+ hematopoietic cells. Because differentiation into normal human immunocytes such as CD11c+ ordinary dendritic cells, CD123-high plasmacytoid dendritic cells, T cells and B cells is observed in human CD45+ cells, it is seen that the CD34+CD38− are hematopoietic stem cells. (Lower panel) When AML CD34+CD38− cells were transplanted, AML developed in recipient mice. Recipient BM was completely occupied by human CD45+ cells, rather than by mouse cells. Because the transplanted human cells did not contain any of normal immunocyte subsets such as dendritic cells, T cells or B cells, the CD34+CD38− cells were shown to contain no normal hematopoietic stem cells and were identified as leukemic stem cells.



FIG. 2 shows genes expressed in larger amounts in AML CD34+CD38− LSCS than in normal CD34+CD38− HSCs. The heat map includes qPCR data on 35 prominent LSC markers: 1) their functions and localization are suitable for the development of anti-AML drugs, 2) their mRNA contents are significantly (P<0.05) higher in LSCS than in HSCs, 3) the median of their mRNA contents are 5 times or more higher in LSCS than in HSCs, and 4) their mRNA contents are higher in all LSC samples tested than in various HSC samples. In this panel, red, yellow and green indicate high, moderate, and low expression, respectively, as shown by the reference color code in the lower left in this figure. Value 1 indicates the mean for mRNAs in CD34+CD38− HSCs.



FIG. 3 shows flow cytometry. The expression of LSC-specific molecule candidates (CD32, ITGB2, CD93 and CD33) was analyzed by flow cytometry. Each histogram shows relative expression in LSCS obtained from five AML patients versus that in normal HSCs.



FIG. 4 shows the results of functional assay and histological experiments of CD32. The expression of CD32 and the expression of CD133 were again analyzed by FACS. According to the expression pattern of CD32, AML patients were classified under the categories AML-a and AML-b. Normal HSCs were identified exclusively in the CD32− fraction. Likewise, leukemia induction activity was observed in the CD32− fraction of the AML-a group. In contrast, in AML-b, CD32+ cells exhibited the capability of initiating AML in vivo. In AML-b, CD32+ cells were detected in both the membrane region and central region of the bone marrow.



FIG. 5 shows heat map charts of gene candidates whose transcription products are more highly expressed in AML CD34+CD38− LSCS than in normal CD34+CD38− HSCs. 217 genes were classified on the basis of gene ontology under six categories: 1) cell membrane and extracellular, 2) cell cycle, 3) apoptosis, 4) signaling, 5) transcription factors, and 6) others. Gene expression levels on two microarray platforms (U133 plus 2.0 and Gene 1.0ST) are separately shown. In each panel, red, yellow and green indicate high, moderate and low expression, respectively.



FIG. 6 is a flow cytometric representation showing that the expression of CD32, one of the above-described candidate genes, does not undergo down regulation in AML patients after chemotherapy.



FIG. 7 shows immunofluorescent staining of the expression of various marker genes in leukemic stem cells that are present in bone marrow niches and are in the stationary phase of cell cycle. The results for each gene are shown with a set of four photographs obtained using the DAPI antibody (nuclear staining) for blue staining in the upper left, an antibody against the marker for red staining in the lower left, and an antibody against the cell cycle marker CD34 (in the case of FCGR2A, AK5, DOK2, LRG1, BIK) or the Ki67 antibody (in the case of IL2RA, WT1, SUCNR1) for green staining in the upper right. Shown in the lower right are merged results.





MODES FOR EMBODYING THE INVENTION
Definitions

In the present invention, the initial onset of leukemia refers to a state in which leukemia has developed for the first time, or is likely to develop, and a recurrence of leukemia refers to a state in which leukemia has developed again, or is likely to develop, after treatment or remission of initial-onset leukemia. The tissue where leukemia recurs or is likely to recur is not limited to initial-onset tissue, and may be another tissue. Therefore, the concept of recurrence is understood to include infiltration and metastasis.


In the present invention, treatment of leukemia encompasses all treatments, including administration of anticancer agents, radiotherapy, and bone marrow transplantation.


In the present invention, leukemic stem cells (LSC) may be a CD34+ cell fraction derived from the bone marrow, with preference given to CD34+CD38− cell fraction. The crude substance containing LSC can be recovered from the bone marrow of a test subject or patient by a conventional method, cell fractions containing the LSC can be obtained by flow cytometry and the like using CD34 and CD38 cell surface marker molecules. Note that separation of LSC from HSC is difficult. Furthermore, it is also possible to further sort LSCS with another cell surface marker molecule selected from among leukemic stem cell markers found by the present invention, as an index.


(Test Method)

The present invention provides a test method for predicting the initial onset or a recurrence of acute myeloid leukemia. The test method of the present invention comprises,


(1) a step of measuring the expression level of leukemic stem cell marker genes in a biological sample collected from a subject for a transcription product or translation product of the gene as an analyte, and


(2) a step of comparing the expression levels obtained in the measuring step with the expression level in healthy persons.


(1) Step of Measuring the Expression Level of Leukemic Stem Cell Marker Genes in a Biological Sample Collected from a Subject for a Transcription Product or Translation Product of the Gene as an Analyte


Leukemic stem cell marker genes targeted in the present invention are leukemic stem cell-specific markers sorted from a set of genes expressed differentially in the CD34+CD38− cell fraction than in the CD34+CD38+ cell fraction by the present inventors on the basis of their unique viewpoint, and comprise 2 to 218 genes selected from among the following leukemic stem cell marker genes (hereinafter sometimes simply abbreviated as “marker genes” or “markers”) (1). The marker genes (1) preferably consist of 3 or more, 5 or more, 10 or more, 15 or more, 20 or more, or 25 or more, genes.


Marker genes (1):


cell membrane- or extracellularly-localized genes consisting of ADFP, ALOX5AP, AZU1, C3AR1, CACNB4, CALCRL, CCL4, CCL5, CD33, CD36, CD3D, CD86, CD9, CD93, CD96, CD97, CFD, CHI3L1, CLEC12A, CLECL1, COCH, CST7, CXCL1, DOK2, EMR2, FCER1G, FCGR2A, FUCA2, GPR109B, GPR160, GPR34, GPR84, HAVCR2, HBEGF, HCST, HGF, HLA-DOB, HOMER3, IFI30, IL13RA1, IL2RA, IL2RG, IL3RA, INHBA, ITGB2, LGALS1, LRG1, LY86, MAMDC2, MGAT4A, P2RY14, P2RY5, PLAUR, PPBP, PRG2, PRSS21, PTH2R, PTX3, REEP5, RNASE2, RXFP1, SLC31A2, SLC43A3, SLC6A6, SLC7A6, STX7, SUCNR1, TACSTD2, TIMP1, TM4SF1, TM9SF1, TNF, TNFRSF4, TNFSF13B, TYROBP, UTS2 and VNN1; cell cycle-related genes consisting of AURKA, C13orf34, CCNA1, DSCC1, FAM33A, HPGD, NEK6, PYHIN1, RASSF4, TXNL4B and ZWINT; apoptosis-related genes consisting of MPO, IER3, BIK, TXNDC1, GADD45B and NAIP;


signaling-related genes consisting of AK5, ARHGAP18, ARRB1, DUSP6, FYB, HCK, LPXN, MS4A3, PAK11P1, PDE9A, PDK1, PRKAR1A, PRKCD, PXK, RAB20, RAB8A, RABIF, RASGRP3, RGS18 and S100A11; transcription factor genes consisting of WT1, MYC and HLX; and other genes consisting of ACTR2, ALOX5, ANXA2P2, ATL3, ATP6V1B2, ATP6V1C1, ATP6V1D, C12orf5, C17orf60, C18orf19, C1GALT1C1, C1orf135, C1orf163, C1orf186, C6orf150, CALML4, CCT5, CLC, COMMD8, COTL1, COX17, CRIP1, CSTA, CTSA, CTSC, CTSG, CYBB, CYP2E1, DENND3, DHRS3, DLAT, DLEU2, DPH3, EFHD2, ENC1, EXOSC3, FAM107B, FAM129A, FAM38B, FBX022, FLJ14213, FNDC3B, GNPDA1, GRPEL1, GTSF1, HIG2, HN1, HVCN1, IDH1, IDH3A, IKIP, KIF2C, KYNU, LCMT2, ME1, MIRN21, MKKS, MNDA, MTHFD2, MYO1B, MYO1F, NAGA, NCF2, NCF4, NDUFAF1, NP, NRIP3, OBFC2A, PARP8, PDLIM1, PDSS1, PGM2, PIGK, PIWIL4, PPCDC, PPIF, PRAME, PUS7, RPP40, RRM2, S100A16, S100A8, S100P, S100Z, SAMHD1, SH2D1A, SPCS2, SPPL2A, TESC, THEX1, TMEM30A, TMEM33, TRIP13, TUBB6, UBASH3B, UGCG, VSTM1, WDR4, WIT1, WSB2 and ZNF253.


The individual genes that constitute the aforementioned leukemic stem cell marker genes are publicly known, and the base sequences and amino acid sequences thereof are also known. For the marker genes except IL2RA, symbol names, gene IDs, location chromosomes, characteristics and the like are shown in Table 1. IL2RA, also called CD25 has the gene ID 3559, is located on chromosome 10, and encodes interleukin 2 receptor alpha. The IL2RA protein is a transmembranous receptor localized on the cell membrane.



















TABLE 1









Fold Change
Fold Change










probeID
(AML/Healthy,
(AML/Healthy,


symbol
geneID
probeID U133
GeneST
U133)
GeneST)
chromosome
explanation
function
location
process

























ACTR2
10097
1558015_s_at
8042337
4.2638
1.8188
2
ARP2 actin-related protein 2 homolog

cytoplasm










(yeast)


ADFP
123
209122_at
8160297
3.2797
2.3209
9
adipose differentiation-related protein

cell membrane


AK5
26289
222862_s_at
7902452
3.1895
16.5796
1
adenylate kinase 5
signaling molecule
cytoplasm


ALOX5
240
204446_s_at
7927215
18.4004
2.6463
10
arachidonate 5-lipoxygenase

cytoplasm


ALOX5AP
241
204174_at
7968344
2.8061
9.5599
13
arachidonate 5-lipoxygenase-activating

cell membrane









protein


ANXA2P2
304
208816_x_at
8154836
4.5495
4.8032
9
annexin A2 pseudogene 2

unknown


ARHGAP18
93663
225171_at
8129458
4.3548
2.5895
6
Rho GTPase activating protein 18
signaling molecule
unknown


ARRB1
408
222912_at
7950473
3.8043
1.9404
11
arrestin, beta 1
signaling molecule
cytoplasm


ATL3
25923
223452_s_at
7948997
3.6187
1.8605
11
atlastin 3

unknown


ATP6V1B2
526
201089_at
8144931
4.0733
2.0284
8
ATPase, H+ transporting, lysosomal

cytoplasm









56/58 kDa, V1 subunit B2


ATP6V1C1
528
202872_at
8147724
3.2006
2.3894
8
ATPase, H+ transporting, lysosomal

cytoplasm









42 kDa, V1 subunit C1


ATP6V1D
51382
208899_x_at
7979698
4.6313
2.2873
14
ATPase, H+ transporting, lysosomal

cytoplasm









34 kDa, V1 subunit D


AURKA
6790
208079_s_at
8067167
2.0444
2.4771
20
aurora kinase A
signaling molecule
nucleus
cell cycle


AZU1
566
214575_s_at
8024038
3.3641
4.0737
19
azurocidin 1

extracellular











space


BIK
638
205780_at
8073605
5.3934
8.8991
22
BCL2-interacting killer (apoptosis-

cytoplasm
apoptosis









inducing)


C12orf5
57103
219099_at
7953211
6.1678
4.4117
12
chromosome 12 open reading frame 5

unknown


C13orf34
79866
219544_at
7969374
3.7631
2.3038
13
chromosome 13 open reading frame 34

unknown
cell cycle


C17orf60
284021
217513_at
8009243
3.2027
3.7201
17
chromosome 17 open reading frame 60

unknown


C18orf19
125228
235022_at
8022404
2.828
1.8669
18
chromosome 18 open reading frame 19

unknown


C1GALT1C1
29071
219283_at
8174820
4.6168
2.2689
X
C1GALT1-specific chaperone 1

unknown


C1orf135
79000
220011_at
7913852
2.8168
2.9438
1
chromosome 1 open reading frame 135

unknown


C1orf163
66260
219420_s_at
7916219
2.9798
2.4301
1
chromosome 1 open reading frame 163

unknown


C1orf186
440712
230381_at
7923875
10.2556
2.3674
1
chromosome 1 open reading frame 186

unknown


C3AR1
719
209906_at
7960874
8.2753
4.4025
12
complement component 3a receptor 1
transmembranous
cell membrane










receptor


C6orf150
115004
1559051_s_at
8127534
2.9862
3.4927
6
chromosome 6 open reading frame 150

unknown


CACNB4
785
207693_at
8055872
2.8303
2.6543
2
calcium channel, voltage-dependent, beta

cell membrane









4 subunit


CALCRL
10203
206331_at
8057578
2.5601
2.2268
2
calcitonin receptor-like
transmembranous
cell membrane










receptor


CALML4
91860
221879_at
7989968
2.5411
2.2694
15
calmodulin-like 4

unknown


CCL4
6351
204103_at
8006602
12.0201
2.1087
17
chemokine (C-C motif) ligand 4
cytokine and
extracellular










growth factor
space


CCL5
6352
1405_i_at
8014316
13.0433
10.0074
17
chemokine (C-C motif) ligand 5
cytokine and
extracellular
immunity, cell adhesion










growth factor
space


CCNA1
8900
205899_at
7968637
3.325
3.9705
13
cyclin A1

nucleus
cell cycle


CCT5
22948
229068_at
8104449
2.828
2.0069
5
chaperonin containing TCP1, subunit 5

cytoplasm









(epsilon)


CD33
945
206120_at
8030804
3.4258
4.0167
19
CD33 molecule
signaling molecule
cell membrane
cell adhesion


CD36
948
228766_at
8133876
6.3287
2.1815
7
CD36 molecule (thrombospondin

cell membrane









receptor)


CD3D
915
213539_at
7952056
6.673
11.2019
11
CD3d molecule, delta (CD3-TCR
transmembranous
cell membrane









complex)
receptor


CD86
942
210895_s_at
8082035
3.6193
4.1863
3
CD86 molecule
transmembranous
cell membrane










receptor


CD9
928
201005_at
7953291
28.019
1.7512
12
CD9 molecule

cell membrane


CD93
22918
202878_s_at
8065359
13.7302
1.9706
20
CD93 molecule

cell membrane
cell adhesion


CD96
10225
206761_at
8081564
4.247
4.9945
3
CD96 molecule

cell membrane


CD97
976
202910_s_at
8026300
7.6085
2.0902
19
CD97 molecule
transmembranous
cell membrane
immunity, cell adhesion










receptor


CFD
1675
205382_s_at
8024062
7.7147
3.955
19
complement factor D (adipsin)

extracellular











space


CHI3L1
1116
209395_at
7923547
3.3299
2.3625
1
chitinase 3-like 1 (cartilage glycoprotein-

extracellular









39)

space


CLC
1178
206207_at
8036755
4.9719
20.5111
19
Charcot-Leyden crystal protein

cytoplasm


CLEC12A
160364
1552398_a_at
7953901
14.7668
10.4421
12
C-type lectin domain family 12, member A

cell membrane


CLECL1
160365
244413_at
7961069
3.2716
9.2279
12
C-type lectin-like 1

cell membrane


COCH
1690
205229_s_at
7973797
2.6217
2.5193
14
coagulation factor C homolog, cochlin

extracellular









(Limulus polyphemus)

space


COMMD8
54951
218351_at
8100145
4.696
2.2621
4
COMM domain containing 8

unknown


COTL1
23406
224583_at
8003171
4.2253
1.9761
16
coactosin-like 1 (Dictyostelium)

cytoplasm


COX17
10063
203880_at
7968972
2.9867
2.0975
3
COX17 cytochrome c oxidase assembly

cytoplasm









homolog (S. cerevisiae)


CRIP1
1396
205081_at
7977409
10.2268
1.9145
14
cysteine-rich protein 1 (intestinal)

cytoplasm


CST7
8530
210140_at
8061416
4.5721
4.3944
20
cystatin F (leukocystatin)

extracellular











space


CSTA
1475
204971_at
8082058
15.2724
8.2554
3
cystatin A (stefin A)

cytoplasm


CTSA
5476
200661_at
8063078
7.4704
2.0204
20
cathepsin A

cytoplasm


CTSC
1075
201487_at
7950906
4.4802
3.1109
11
cathepsin C

cytoplasm
immunity


CTSG
1511
205653_at
7978351
4.5766
5.8038
14
cathepsin G

cytoplasm
immunity


CXCL1
2919
204470_at
8095697
11.0827
2.1273
4
chemokine (C-X-C motif) ligand 1
cytokine and
extracellular









(melanoma growth stimulating
growth factor
space


CYBB
1536
203923_s_at
8166730
3.9235
4.1921
X
cytochrome b-245, beta polypeptide

cytoplasm
immunity


CYP2E1
1571
209975_at
7931643
2.58
2.2439
10
cytochrome P450, family 2, subfamily E,

cytoplasm









polypeptide 1


DENND3
22898
212975_at
8148476
2.9132
2.0985
8
DENN/MADD domain containing 3

unknown


DHRS3
9249
202481_at
7912537
3.7799
2.499
1
dehydrogenase/reductase (SDR family)

cytoplasm









member 3


DLAT
1737
212568_s_at
7943827
5.313
2.2002
11
dihydrolipoamide S-acetyltransferase

cytoplasm


DLEU2
8847
1556821_x_at
7971653
2.876
3.9304
13
deleted in lymphocytic leukemia 2 (non-

unknown









protein coding)


DOK2
9046
214054_at
8149638
5.6934
3.0391
8
docking protein 2, 56 kDa
signaling molecule
cell membrane


DPH3
285381
225200_at
8085660
2.875
2.0279
3
DPH3, KTI11 homolog (S. cerevisiae)

cytoplasm


DSCC1
79075
219000_s_at
8152582
2.5694
2.6348
8
defective in sister chromatid cohesion 1

nucleus
cell cycle









homolog (S. cerevisiae)


DUSP6
1848
208893_s_at
7965335
3.9521
2.0696
12
dual specificity phosphatase 6
signaling molecule
cytoplasm


EFHD2
79180
222483_at
7898161
3.0525
2.0378
1
EF-hand domain family, member D2

unknown


EMR2
30817
207610_s_at
8034873
10.5352
2.0458
19
egf-like module containing, mucin-like,

cell membrane









hormone receptor-like 2


ENC1
8507
201341_at
8112615
6.3235
1.8298
5
ectodermal-neural cortex (with BTB-like

nucleus









domain)


EXOSC3
51010
227916_x_at
8161242
3.051
2.019
9
exosome component 3

nucleus


FAM107B
83641
223058_at
7932160
11.3343
2.1322
10
family with sequence similarity 107,

nucleus









member B


FAM129A
116496
217966_s_at
7922846
7.1413
1.714
1
family with sequence similarity 129,

cytoplasm









member A


FAM33A
348235
225684_at
8017133
2.6048
2.0228
17
family with sequence similarity 33,

nucleus
cell cycle









member A


FAM38B
63895
219602_s_at
8022283
2.7684
2.4385
18
family with sequence similarity 38,

unknown









member B


FBXO22
26263
225734_at
7985053
3.3569
1.8734
15
F-box protein 22

unknown


FCER1G
2207
204232_at
7906720
5.172
4.5138
1
Fo fragment of IgE, high affinity I,
transmembranous
cell membrane
immunity, apoptosis









receptor for, gamma polypeptide
receptor


FCGR2A
2212
203561_at
7906757
3.6163
4.5895
1
Fc fragment of IgG, low affinity IIa,
transmembranous
cell membrane









receptor (CD32)
receptor


FLJ14213
79899
233379_at
7939383
3.2662
1.8592
11
protor-2

unknown


FNDC3B
64778
222692_s_at
8083901
4.0438
1.815
3
fibronectin type III domain containing 3B

unknown


FUCA2
2519
223120_at
8129974
2.7625
2.214
6
fucosidase, alpha-L-2, plasma

extracellular











space


FYB
2533
227266_s_at
8111739
5.75
3.4782
5
FYN binding protein (FYB-120/130)
signaling molecule
nucleus
immunity


GADD45B
4616
209305_s_at
8024485
8.2835
1.8588
19
growth arrest and DNA-damage-

cytoplasm
apoptosis









inducible, beta


GNPDA1
10007
202382_s_at
8114787
4.3678
1.8908
5
glucosamine-6-phosphate deaminase 1

cytoplasm


GPR109B
8843
205220_at
7967322
25.4362
5.9615
12
G protein-coupled receptor 109B
transmembranous
cell membrane










receptor


GPR160
26996
223423_at
8083839
2.4534
2.4379
3
G protein-coupled receptor 160
transmembranous
cell membrane










receptor


GPR34
2857
223620_at
8166906
3.7631
2.7359
X
G protein-coupled receptor 34
transmembranous
cell membrane










receptor


GPR84
53831
223767_at
7963770
3.5766
2.6827
12
G protein-coupled receptor 84
transmembranous
cell membrane










receptor


GRPEL1
80273
212432_at
8099246
8.8722
2.1952
4
GrpE-like 1, mitochondrial (E. coli)

cytoplasm


GTSF1
121355
227711_at
7963817
8.6795
5.142
12
gametocyte specific factor 1

cytoplasm


HAVCR2
84868
235458_at
8115464
3.8093
2.0482
5
hepatitis A virus cellular receptor 2
transmembranous
cell membrane










receptor


HBEGF
1839
203821_at
8114572
19.1502
3.4502
5
heparin-binding EGF-like growth factor
cytokine and
extracellular










growth factor
space


HCK
3055
208018_s_at
8061668
17.6625
4.7152
20
hemopoietic cell kinase
signaling molecule
cytoplasm


HCST
10870
223640_at
8028104
4.0478
2.9073
19
hematopoietic cell signal transducer

cell membrane


HGF
3082
210997_at
8140556
4.5623
2.7163
7
hepatocyte growth factor (hepapoietin A;
cytokine and
extracellular









scatter factor)
growth factor
space


HIG2
29923
218507_at
8135915
2.6299
2.0696
7
hypoxia-inducible protein 2

unknown


HLA-DOB
3112
205671_s_at
8178833
2.9282
1.8281
6
major histocompatibility complex, class II,
transmembranous
cell membrane









DO beta
receptor


HLX
3142
214438_at
7909890
4.7545
1.972
1
H2.0-like homeobox
transcription
nucleus










factor


HN1
51155
217755_at
8018305
3.5232
2.6057
17
hematological and neurological expressed 1

nucleus


HOMER3
9454
204647_at
8035566
13.8417
4.0343
19
homer homolog 3 (Drosophila)
signaling molecule
cell membrane


HPGD
3248
203914_x_at
8103769
1.9977
5.1611
4
hydroxyprostaglandin dehydrogenase 15-

cytoplasm
cell cycle









(NAD)


HVCN1
84329
226879_at
7966356
3.112
2.231
12
hydrogen voltage-gated channel 1

unknown


IDH1
3417
201193_at
8058552
2.5681
2.1009
2
isocitrate dehydrogenase 1 (NADP+),

cytoplasm









soluble


IDH3A
3419
202069_s_at
7985134
3.9339
2.6845
15
isocitrate dehydrogenase 3 (NAD+) alpha

cytoplasm


IER3
8870
201631_s_at
8179704
2.9818
2.6543
6
immediate early response 3

cytoplasm
apoptosis


IFI30
10437
201422_at
8026971
11.7514
3.0596
19
interferon, gamma-inducible protein 30

extracellular











space


IKIP
121457
227295_at
7965681
3.5724
1.8803
12
IKK interacting protein

unknown


IL13RA1
3597
201887_at
8169580
7.1957
2.4697
X
interleukin 13 receptor, alpha 1
transmembranous
cell membrane










receptor


IL2RG
3561
204116_at
8173444
2.2169
2.6537
X
interleukin 2 receptor, gamma (severe
transmembranous
cell membrane
immunity









combined immunodeficiency)
receptor


IL3RA
3563
206148_at
8176323
3.392
2.9718
X|Y
interleukin 3 receptor, alpha (low affinity)
transmembranous
cell membrane










receptor


INHBA
3624
210511_s_at
8139207
7.886
1.977
7
inhibin, beta A
cytokine and
extracellular










growth factor
space


ITGB2
3689
1555349_a_at
8070826
3.4371
2.3718
21
integrin, beta 2 (complement component
signaling molecule
cell membrane
cell adhesion, apoptosis









3 receptor 3 and 4


KIF2C
11004
209408_at
7901010
2.4566
2.3144
1
kinesin family member 2C

nucleus


KYNU
8942
217388_s_at
8045539
21.2871
4.5148
2
kynureninase (L-kynurenine hydrolase)

cytoplasm


LCMT2
9836
204012_s_at
7988077
2.8266
1.8921
15
leucine carboxyl methyltransferase 2

unknown


LGALS1
3956
201105_at
8072876
17.9891
7.0421
22
lectin, galactoside-binding, soluble, 1

extracellular
apoptosis











space


LPXN
9404
216250_s_at
7948332
6.1566
5.0537
11
leupaxin
signaling molecule
cytoplasm
cell adhesion


LRG1
116844
228648_at
8032834
5.7066
2.2013
19
leucine-rich alpha-2-glycoprotein 1

extracellular











space


LY86
9450
205859_at
8116734
9.8638
11.3294
6
lymphocyte antigen 86

cell membrane
immunity, apoptosis


MAMDC2
256691
228885_at
8155754
50.0231
1.8485
9
MAM domain containing 2

extracellular











space


ME1
4199
204059_s_at
8127854
3.167
6.0952
6
malic enzyme 1, NADP(+)-dependent,

cytoplasm









cytosolic


MGAT4A
11320
226039_at
8054135
2.488
2.145
2
mannosyl (alpha-1,3-)-glycoprotein beta-

extracellular









1,4-N-

space


MIRN21
406991
224917_at
8008885
7.1437
2.2647
17
microRNA 21

unknown


MKKS
8195
218138_at
8064967
5.0082
2.1926
20
McKusick-Kaufman syndrome

cytoplasm


MNDA
4332
204959_at
7906377
7.9908
6.7427
1
myeloid cell nuclear differentiation

nucleus









antigen


MPO
4353
203949_at
8016932
3.4405
2.9167
17
myeloperoxidase

cytoplasm
apoptosis


MS4A3
932
210254_at
7940216
2.9166
6.6468
11
membrane-spanning 4-domains,
signaling molecule
cytoplasm









subfamily A, member 3


MTHFD2
10797
201761_at
8042830
2.7123
1.9426
2
methylenetetrahydrofolate

cytoplasm









dehydrogenase (NADP+ dependent) 2,


MYC
4609
202431_s_at
8146317
4.8528
1.9292
8
v-myc myelocytomatosis viral oncogene
transcription
nucleus









homolog (avian)
factor


MYO1B
4430
212364_at
8047127
3.1023
1.9101
2
myosin IB

cytoplasm


MYO1F
4542
213733_at
8033605
3.93
2.5391
19
myosin IF

cytoplasm


NAGA
4668
202943_s_at
8076403
2.7565
2.4116
22
N-acetylgalactosaminidssa, alpha-

cytoplasm


NAIP
4671
239944_at
8177527
3.9106
2.0172
5
NLR family, apoptosis inhibitory protein

cytoplasm
apoptosis


NCF2
4688
209949_at
7922773
8.0756
3.4526
1
neutrophil cytosolic factor 2

cytoplasm


NCF4
4689
205147_x_at
8072744
3.0753
3.3081
22
neutrophil cytosolic factor 4, 40 kDa

cytoplasm
immunity


NDUFAF1
51103
204125_at
7987642
4.6031
2.1624
15
NADH dehydrogenase (ubiquinone) 1

cytoplasm









alpha subcomplex, assembly factor


NEK6
10783
223159_s_at
8157761
5.1566
3.4558
9
NIMA (never in mitosis gene a)-related
signaling molecule
nucleus
cell cycle, apoptosis









kinase 6


NP
4860
201695_s_at
7973067
8.9531
2.1755
14
nucleoside phosphorylase

nucleus


NRIP3
56675
219557_s_at
7946446
3.2732
3.6133
11
nuclear receptor interacting protein 3

unknown


OBFC2A
64859
222872_x_at
8047161
13.5591
2.7032
2
oligonucleotide/oligosaccharide-binding

nucleus









fold containing 2A


P2RY14
9934
206637_at
8091511
3.0798
2.4295
3
purinergic receptor P2Y, G-protein
transmembranous
cell membrane









coupled, 14
receptor


P2RY5
10161
218589_at
7971565
1.5532
2.7233
13
purinergic receptor P2Y, G-protein
transmembranous
cell membrane









coupled, 5
receptor


PAK1IP1
55003
218886_at
8116848
4.0989
2.4834
6
PAK1 interacting protein 1
signaling molecule
nucleus


PARP8
79668
219033_at
8105191
7.2902
2.9745
5
poly (ADP-ribose) polymerase family,

nucleus









member 8


PDE9A
5152
205593_s_at
8068833
5.8044
3.5595
21
phosphodiesterase 9A
signaling molecule
cytoplasm


PDK1
5163
226452_at
8046408
2.6927
2.4033
2
pyruvate dehydrogenase kinase, isozyme 1
signaling molecule
cytoplasm


PDLIM1
9124
208690_s_at
7935180
15.0721
1.5551
10
PDZ and LIM domain 1

cytoplasm


PDSS1
23590
220865_s_at
7926807
2.7366
2.4594
10
prenyl (decaprenyl) diphosphate

unknown









synthase, subunit 1


PGM2
55276
225366_at
8094556
3.8421
2.1135
4
phosphoglucomutase 2

cytoplasm


PIGK
10026
209707_at
7917088
4.7506
2.9006
1
phosphatidylinositol glycan anchor

cytoplasm









biosynthesis, class K


PIWIL4
143689
230480_at
7943240
3.308
1.9009
11
piwi-like 4 (Drosophila)

unknown


PLAUR
5329
210845_s_at
8037374
6.5367
1.697
19
plasminogen activator, urokinase receptor
transmembranous
cell membrane










receptor


PPBP
5473
214146_s_at
8100971
12.1498
1.5966
4
pro-platelet basic protein (chemokine
cytokine and
extracellular









(C-X-C motif) ligand 7)
growth factor
space


PPCDC
60490
219066_at
7984943
3.3971
2.0648
15
phosphopantothenoylcysteine

unknown









decarboxylase


PPIF
10105
201489_at
7928589
5.105
2.4099
10
peptidylprolyl isomerase F (cyclophilin F)

cytoplasm


PRAME
23532
204086_at
8074856
2.9345
7.1984
22
preferentially expressed antigen in

nucleus









melanoma


PRG2
5553
211743_s_at
7948221
5.7443
5.1313
11
proteoglycan 2, bone marrow (natural

extracellular









killer cell activator.

space


PRKAR1A
5573
200604_s_at
8009457
2.5728
1.9221
17
protein kinase, cAMP-dependent,
signaling molecule
cytoplasm









regulatory, type 1, alpha (tissue


PRKCD
5580
202545_at
8080487
11.8684
4.4878
3
protein kinase C, delta
signaling molecule
cytoplasm


PRSS21
10942
220051_at
7992722
2.8945
2.4783
16
protease, serine, 21 (testisin)

extracellular











space


PTH2R
5746
206772_at
8047910
32.9485
2.6488
2
parathyroid hormone 2 receptor
transmembranous
cell membrane










receptor


PTX3
5806
206157_at
8083594
1.371
1.7203
3
pentraxin-related gene, rapidly induced

extracellular









by IL-1 beta

space


PUS7
54517
218984_at
8142061
3.473
2.0097
7
pseudouridylate synthase 7 homolog

unknown









(S. cerevisiae)


PXK
54899
1552275_s_at
8080781
2.9549
2.2995
3
PX domain containing serine/threonine
signaling molecule
cytoplasm









kinase


PYHIN1
149628
240413_at
7906386
3.6814
1.9866
1
pyrin and HIN domain family, member 1

nucleus
cell cycle


RAB20
55647
219622_at
7972805
4.2758
1.9982
13
RAB20, member RAS oncogene family
signaling molecule
cytoplasm


RAB8A
4218
208819_at
8026520
3.089
2.0472
19
RAB8A, member RAS oncogene family
signaling molecule
cytoplasm


RABIF
5877
204478_s_at
7923483
6.673
1.9163
1
RAB interacting factor
signaling molecule
unknown


RASGRP3
25780
205801_s_at
8041422
12.2403
2.3489
2
RAS guanyl releasing protein 3 (calcium
signaling molecule
cytoplasm









and DAG-regulated)


RASSF4
83937
226436_at
7927186
5.1219
1.8566
10
Ras association (RalGDS/AF-6) domain

unknown
cell cycle









family member 4


REEP5
7905
208873_s_at
8113542
1.9895
2.4938
5
receptor accessory protein 5

extracellular











space


RGS18
64407
223809_at
7908376
18.2071
3.0532
1
regulator of G-protein signaling 18
signaling molecule
cytoplasm


RNASE2
6036
206111_at
7973110
6.2056
30.3509
14
ribonuclease, RNase A family, 2 (liver,

extracellular









eosinophil-derived

space


RPP40
10799
213427_at
8123717
2.5261
2.3867
6
ribonuclease P/MRP 40 kDa subunit

nucleus


RRM2
6241
201890_at
8040223
1.8022
1.9629
2
ribonucleotide reductase M2 polypeptide

cytoplasm


RXFP1
59350
231804_at
8098060
8.4366
4.7218
4
relaxin/insulin-like family peptide
transmembranous
cell membrane









receptor 1
receptor


S100A11
6282
200660_at
7920128
2.6989
1.9757
1
S100 calcium binding protein A11
signaling molecule
cytoplasm


S100A16
140576
227998_at
7920291
6.5974
5.2295
1
S100 calcium binding protein A16

nucleus


S100A8
6279
202917_s_at
7920244
3.7254
4.1401
1
S100 calcium binding protein A8

cytoplasm


S100P
6286
204351_at
8093950
2.8439
4.35
4
S100 calcium binding protein P

cytoplasm


S100Z
170591
1554876_s_at
8106411
2.5656
3.2588
5
S100 calcium binding protein Z

unknown


SAMHD1
25939
204502_at
8066117
3.5478
3.315
20
SAM domain and HD domain 1

nucleus
immunity


SH2D1A
4068
210116_at
8169792
5.4768
4.944
X
SH2 domain protein 1A

cytoplasm


SLC31A2
1318
204204_at
8157264
6.5551
1.9871
9
solute carrier family 31 (copper

cell membrane









transporters), member 2


SLC43A3
29015
213113_s_at
7948229
4.0265
2.5036
11
solute carrier family 43, member 3

extracellular











space


SLC6A6
6533
211030_s_at
8078014
3.3096
1.9332
3
solute carrier family 6 (neurotransmitter

cell membrane









transporter,


SLC7A6
9057
203579_s_at
7996772
2.537
2.0624
16
solute carrier family 7 (cationic amino

cell membrane









acid transporter, y+


SPCS2
9789
201239_s_at
7914180
2.8247
2.8859
11
signal peptidase complex subunit 2

cytoplasm









homolog (S. cerevisiae)


SPPL2A
84888
226353_at
7988753
3.6826
3.1645
15
signal peptide peptidase-like 2A

unknown


STX7
8417
212631_at
8129590
3.044
1.957
6
syntaxin 7

cell membrane


SUCNR1
56670
223939_at
8083422
10.3593
8.9094
3
succinate receptor 1
transmembranous
cell membrane










receptor


TACSTD2
4070
202286_s_at
7916584
4.5271
2.3856
1
tumor-associated calcium signal

cell membrane









transducer 2


TESC
54997
218872_at
7966749
6.7818
4.194
12
tescalcin

unknown


THEX1
90459
226416_at
8144516
3.539
2.084
8
three prime histone mRNA exonuclease 1

unknown


TIMP1
7076
201666_at
8167185
2.6582
1.8176
X
TIMP metallopeptidase inhibitor 1

extracellular











space


TM4SF1
4071
215034_s_at
8091411
13.9334
3.1159
3
transmembrane 4 L six family member 1

cell membrane


TM9SF1
10548
209149_s_at
7978166
3.8307
1.9283
14
transmembrane 9 superfamily member 1

cell membrane


TMEM30A
55754
232591_s_at
8127637
3.436
1.8579
6
transmembrane protein 30A

unknown


TMEM33
55161
218465_at
8094830
2.7565
2.4022
4
transmembrane protein 33

unknown


TNF
7124
207113_s_at
8179263
5.16
3.3831
6
tumor necrosis factor (TNF superfamily,
cytokine and
extracellular
immunity, apoptosis









member 2)
growth factor
space


TNFRSF4
7293
214228_x_at
7911413
4.2204
2.4055
1
tumor necrosis factor receptor
transmembranous
cell membrane
immunity









superfamily, member 4
receptor


TNFSF13B
10673
223501_at
7969986
9.7537
2.3209
13
tumor necrosis factor (ligand)
cytokine and
extracellular
immunity









superfamily, member 13b
growth factor
space


TRIP13
9319
204033_at
8104234
2.146
2.0662
5
thyroid hormone receptor interactor 13

cytoplasm


TUBB6
84617
209191_at
8020220
5.4543
1.8033
18
tubulin, beta 6

cytoplasm


TXNDC1
81542
208097_s_at
7974303
2.8632
1.9163
14
thioredoxin domain containing 1

cytoplasm
apoptosis


TXNL4B
54957
222748_s_at
8002660
4.1397
1.9453
16
thioredoxin-like 4B

nucleus
cell cycle


TYROBP
7305
204122_at
8036224
21.8206
5.4076
19
TYRO protein tyrosine kinase binding
signaling molecule
cell membrane









protein


UBASH3B
84959
238587_at
7944722
3.5884
2.858
11
ubiquitin associated and SH3 domain

unknown









containing, B


UGCG
7357
221765_at
8157216
4.0106
2.3729
9
glucosyltransferase

cytoplasm


UTS2
10911
220784_s_at
7912136
5.3996
6.4651
1
urotensin 2

extracellular











space


VNN1
8876
205844_at
8129618
11.9292
5.0877
6
vanin 1

cell membrane
immunity, apoptosis,












cell adhesion


VSTM1
284415
235818_at
8039109
2.8594
5.2732
19
V-set and transmembrane domain

unknown









containing 1


WDR4
10785
241937_s_at
8070615
2.8509
2.2356
21
WD repeat domain 4

nucleus


WIT1
51352
206954_at
7939131
2.8415
2.6555
11
Wilms tumor upstream neighbor 1

unknown


WSB2
55884
201760_s_at
7966829
3.5848
1.9757
12
WD repeat and SOCS box-containing 2

unknown


WT1
7490
206067_s_at
7947363
93.6087
1.7707
11
Wilms tumor 1
transcription
nucleus
cell cycle










factor


ZNF253
56242
242919_at
8027241
2.6622
2.176
19
zinc finger protein 253

nucleus


ZWINT
11130
204026_s_at
7933707
1.9796
2.3419
10
ZW10 interactor

nucleus
cell cycle









When the test method of the present invention is intended to more clearly distinguish between LSCS and HSCs, it is preferable that the following marker genes (2), for example, out of the above-described marker genes (1), be used as an index. In this mode of embodiment, the marker genes (2) consist of 2 to 58 genes, more preferably consist of 3 or more, 5 or more, 10 or more, 15 or more, 20 or more, or 25 or more, genes. When the test method of the present invention is intended to still more clearly distinguish between LSCS and HSCs, it is preferable that the following marker genes (3), out of the marker genes (2), be used as an index. The marker genes (3) are more preferable because normally 5 times or higher differential expression is observed in LSCS than in HSCs. In this mode of embodiment, the marker genes (3) consist of 2 to 35 genes, more preferably consist of 3 or more, 5 or more, 10 or more, 15 or more, 20 or more, or 25 or more, genes.


Marker genes (2):


cell membrane- or extracellularly-localized genes consisting of ADFP, ALOX5AP, CACNB4, CCL5, CD33, CD3D, CD93, CD97, CLEC12A, DOK2, FCER1G, FCGR2A, FUCA2, GPR34, GPR84, HCST, HGF, HOMER3, IL2RA, IL2RG, IL3RA, ITGB2, LGALS1, LRG1, LY86, MGAT4A, P2RY5, PRSS21, PTH2R, RNASE2, SLC43A3, SUCNR1, TIMP1, TNF, TNFRSF4, TNFSF13B, TYROBP and VNN1; cell cycle-related genes consisting of ZWINT, NEK6 and TXNL4B; an apoptosis-related gene consisting of BIK; signaling-related genes consisting of AK5, ARHGAP18, FYB, HCK, LPXN, PDE9A, PDK1, PRKCD, RAB20, RAB8A and RABIF; transcription factor genes consisting of WT1 and HLX; and other genes consisting of CYBB, CTSC and NCF4.


Marker genes (3):


cell membrane- or extracellularly-localized genes consisting of ALOX5AP, CACNB4, CCL5, CD33, CD3D, CD93, CD97, CLEC12A, DOK2, FCGR2A, GPR84, HCST, HOMER3, ITGB2, LGALS1, LRG1, PTH2R, RNASE2, TNF, TNFSF13B, TYROBP and VNN1; a cell cycle-related gene consisting of NEK6; an apoptosis-related gene consisting of BIK; signaling-related genes consisting of AK5, FYB, HCK, LPXN, PDE9A, PDK1, PRKCD and RAB20; a transcription factor gene consisting of WT1; and other genes consisting of CTSC and NCF4.


Although the subject in the test method of the present invention is not particularly limited, as far as it is a mammal, including a human, a human suspected of suffering the initial onset or a recurrence of leukemia is preferred.


The biological sample to be measured by the test method of the present invention is not particularly limited, as far as it can be collected from a mammal, preferably from a human; examples include humoral samples such as blood, bone marrow fluid, and lymph fluid, and solid samples such as lymph nodes, blood vessels, bone marrow, brain, spleen, and skin.


In the test method of the present invention, the expression level of a marker gene is measured for a transcription product or translation product of the gene as an analyte. When the transcription product is the analyte, RNA can be isolated from the biological sample by a conventional method. Ordinary methods for RNA extraction are well known in the relevant technical field, and are disclosed in standard textbooks of molecular biology, including Ausubel et al., Current Protocols of Molecular Biology, John Wiley and Sons (1997) and the like. Specifically, isolation of RNA can be achieved using purification kits, buffer solution sets, and proteases obtained from their manufacturers, such as Qiagen, as directed by the manufacturers.


The method of measuring the expression level of a marker gene for a transcription product as an analyte is not particularly limited; available methods include Northern blotting and in situ hybridization (Parker & Barnes, Methods in Molecular Biology 106: 247-283 (1999)); RNase protection assay (Hod, Biotechniques 13: 852-854 (1992)); reverse transcription polymerase chain reaction (RT-PCR) (Weis et al., Trends in Genetics 8: 263-264 (1992)); realtime quantitative RT-PCR (Held et al., Genome Research 6: 986-994 (1996)); microarray analysis and the like. Microarray analysis can be performed using the Affymetrix GeneChip technique, the microarray technique of Agilent Technologies or the microarray technique of Incyte with a commercially available apparatus, as directed by the manufacturer. Details of realtime quantitative RT-PCR are described in Examples below. Examples of the base sequences of primers and probes that are suitably used for realtime quantitative RT-PCR are listed in Table 3 and the sequence listing.


When the translation product of a marker gene is the analyte, protein can be isolated from the biological sample according to a conventional method. Ordinary methods for protein extraction are well known in the relevant technical field, and are disclosed in standard textbooks of molecular biology, including Ausubel et al., Current Protocols of Molecular Biology, John Wiley and Sons (1997) and the like. Isolation of protein can be achieved using purification kits, buffer solution sets, and protease inhibitors obtained from their manufacturers, as directed by the manufacturers.


The method of measuring the expression level of a marker gene for a translation product as an analyte is not particularly limited; available methods include the immunohistochemical method, the proteomics method and the like. The immunohistochemical method comprises detecting the expression using an antibody specific for each marker gene product. Protocols and kits for the immunohistochemical method are well known in the relevant technical field, and are commercially available. The proteomics method comprises examining overall changes in protein expression in a certain sample. The proteomics method generally comprises the following steps: (1) separation of various proteins in the sample by 2-D gel electrophoresis (2-D PAGE), (2) identification of the various proteins recovered from this gel by, for example, mass analysis or N-terminal sequencing, and (3) data analysis using bioinformatics. The proteomics method is a useful method for supplementing other gene expression profiling methods, and can be used alone, or in combination with another method, to detect products of marker genes of the present invention. When a cell surface marker is the target, a measuring method using flow cytometry is possible.


(2) Step of Comparing the Expression Levels Obtained in the Measuring Step with a Reference Value


When the results of measurements of the expression levels of 2 to 218 kinds of marker genes in a biological sample show that the expression levels of 2 kinds or more thereof are significantly higher than reference values (gene expression differs about 2 fold or more, preferably about 4 fold or more, more preferably about 6 fold or more, most preferably about 10 fold or more), the possible presence of a leukemic stem cell in the sample or the subject's body is suggested. Here, useful reference values include comparator values such as mean expression levels for healthy persons and mean levels for the subject before onset. The suggestion of the possible presence of leukemic stem cell leads to prediction of the initial onset or a recurrence of leukemia in the subject. It is preferable that the presence or absence of the initial onset or a recurrence of leukemia be checked by another test.


In the test method of the present invention, when the results of measurements of the expression levels of 2 to 218 kinds of marker genes in a biological sample show that the expression levels of 2 kinds or more thereof are significantly higher than reference values (gene expression differs about 2 fold or more, preferably about 4 fold or more, more preferably about 6 fold or more, most preferably about 10 fold or more), the possible presence of a leukemic stem cell in the sample or the body of the source from which the sample has been collected is suggested. Here, useful reference values include comparator values such as mean expression levels for healthy persons and mean expression level for the subject before onset. In this case, the suggestion of the possible presence of a leukemic stem cell leads to prediction that the treatment is not completely effective on the cancer in the leukemia patient. Conversely, when the expression levels of the aforementioned 2 kinds or more are significantly lower (for example, substantially zero), it can be predicted that leukemic stem cells are absent in the sample. In this case, it is thought that the treatment of leukemia eliminated leukemic stem cells and is effective. Furthermore, it is preferable that the test method be combined with other examinations to achieve multi-angle confirmation of a therapeutic effect on leukemia.


As stated above, by applying the test method of the present invention, it is possible to detect leukemic stem cells in a living organism before leukemia occurs initially or recurs, and predict the onset. Alternatively, it is also possible to detect the onset of leukemia in the initial stage and lead to early treatment of cancer patients. Furthermore, it is also possible to evaluate the therapeutic effect on leukemia patients with the presence or absence of leukemic stem cells as an index.


(Therapeutic Agent)

The present invention also provides a therapeutic agent for acute myeloid leukemia that targets leukemic stem cells, comprising as an active ingredient a substance capable of suppressing the expression of a leukemic stem cell marker gene or a substance capable of suppressing the activity of a translation product of the gene.


Molecular targets for the therapeutic agent of the present invention are the above-described leukemic stem cell marker genes, and any marker may be selected according to the purpose of treatment. When the therapeutic agent of the present invention targets stem cells, out of leukemic stem cells, that are present in bone marrow niches, are in the stationary phase of cell cycle, and are resistant to anticancer agents, it is recommended that a substance capable of suppressing the expression of genes selected from the group consisting of AK5, BIK, DOK2, FCGR2A, IL2RA, LRG1, SUCNR1 and WT1 (hereinafter also referred to as marker genes (4)) or a substance capable of suppressing the activity of a translation product of the gene be selected. By selecting 2 to 8 (preferably 2 to 5) out of the eight genes constituting the marker genes (4) and using them as molecular targets, it is highly likely possible to exterminate leukemic stem cells of a large number of patients. Therefore, at least one active ingredient is contained in the therapeutic agent of the present invention, and it is preferable that two or more be combined according to the purpose of treatment. Two or more active ingredients may be contained in a single pharmaceutical preparation, or may be contained in separate pharmaceutical preparations.


Described below are active ingredients.


Substances capable of suppressing the expression of a leukemic stem cell marker gene include, for example, antisense nucleic acids, RNAi-inducible nucleic acids and the like.


Substances capable of suppressing the activity of a translation product of a leukemic stem cell marker gene include, for example, aptamers, antibodies and the like. The substance may be an inhibitory substance that acts directly or indirectly on each marker.


Described below are active ingredients of the therapeutic agent of the present invention.


1. Antisense Nucleic Acid

The kind of the antisense nucleic acid may be DNA or RNA, or a DNA/RNA chimera. The antisense nucleic acid may be one having a natural type phosphoric acid diester bond, or a modified nucleotide such as of the thiophosphate type (P═O in phosphate linkage replaced with P═S), 2′-O-methyl type and the like, which are stable to decomposing enzymes. Other important factors for the designing of antisense nucleic acids include increases in water-solubility and cell membrane permeability and the like; these can also be cleared by choosing appropriate dosage forms such as those using liposome or microspheres. The length of the antisense nucleic acid is not particularly limited, as far as the antisense nucleic acid is capable of specifically hybridizing with the transcription product; the antisense nucleic acid may be a sequence comprising about 15 nucleotides for the shortest, or comprising a sequence complementary to the entire sequence of the transcription product for the longest. Taking into account the issues of the ease of synthesis, antigenicity and the like, oligonucleotides consisting of, for example, about 15 or more nucleotides, preferably about 15 to about 100 nucleotides, more preferably about 18 to about 50 nucleotides, can be mentioned as examples. Furthermore, the antisense nucleic acid may be one that not only hybridizes with the transcription product to inhibit the translation, but also is capable of binding to a double-stranded DNA to form a triple strand (triplex) to inhibit the transcription into mRNA.


2. RNAi-Inducible Nucleic Acid

An RNAi-inducible nucleic acid refers to a polynucleotide, preferably an RNA, capable of inducing the RNA interference (RNAi) effect when introduced into cells. The RNAi effect refers to the phenomenon in which a double-stranded RNA comprising the same nucleic acid sequence as that of mRNA, or a partial sequence thereof, suppresses the expression of the mRNA. To obtain the RNAi effect, it is preferable to use, for example, a double-stranded RNA having the same nucleic acid sequence as that of the target mRNA comprising at least 19 continuous bases (or a partial sequence thereof). The double-stranded structure may be configured by different strands, or may be a double strand conferred by a stem-loop structure of one RNA. Examples of RNAi-inducing nucleic acids include siRNAs, miRNAs and the like, with preference given to siRNAs. The siRNA is not particularly limited, as far as it can induce an RNAi, and the siRNA can be, for example, 19 to 27 bases long, preferably 21 to 25 bases long.


3. Aptamer

An aptamer refers to a polynucleotide having a binding activity (or inhibitory activity) on a specified target molecule. An aptamer is an RNA, a DNA, a modified nucleotide or a mixture thereof. The aptamer can be in a linear or circular form. The length of the aptamer is not particularly limited, and is normally about 16 to about 200 nucleotides; for example, the length is about 100 nucleotides or less, preferably about 50 nucleotides or less, and more preferably about 40 nucleotides or less. The length of the aptamer may be, for example, about 18, about 20, about 25 or about 30, nucleotides or more. The aptamer, for increasing the bindability, stability, drug delivering quality and the like, may be one wherein a sugar residue (e.g., ribose) of each nucleotide is modified. Examples of portions of the sugar residue where it is modified include ones wherein the oxygen atom at the 2′-position, 3′-position and/or 4′-position of the sugar residue is replaced with another atom and the like. Examples of types of modifications include fluorination, O-alkylation, O-allylation, S-alkylation, S-allylation and amination (see, e.g., Sproat et al., (1991) Nucle. Acid. Res. 19, 733-738; Cotton et al., (1991) Nucl. Acid. Res. 19, 2629-2635). The aptamer may also be one wherein a purine or pyrimidine is altered. Examples of such alterations include alteration of the 5-position pyrimidine, alteration of the 8-position purine, alteration with an exocyclic amine, substitution with 4-thiouridine, and substitution with 5-bromo or 5-iodo-uracil. The phosphate group contained in the aptamer of the present invention may be altered to make it resistant to nucleases and hydrolysis. For example, the phosphate group may be substituted with a thioate, a dithioate or an amidate. An aptamer can be prepared according to available reports (for example, Ellington et al., (1990) Nature, 346, 818-822; Tuerk et al., (1990) Science, 249, 505-510).


4. Antibody

The antibody may be a polyclonal antibody (antiserum) or a monoclonal antibody, and can be prepared by a commonly known immunological technique. Although the monoclonal antibody may be of any isotype, IgG, IgM, IgA, IgD, IgE, or the like, IgG or IgM is preferable.


For example, the polyclonal antibody can be acquired by subcutaneously or intraperitoneally administering the above-described antigen (as required, may be prepared as a complex crosslinked to a carrier protein such as bovine serum albumin or KLH (Keyhole Limpet Hemocyanin)), along with a commercially available adjuvant (for example, Freund's complete or incomplete adjuvant), to an animal about 2 to 4 times at intervals of 2 to 3 weeks (the antibody titer of partially drawn serum has been determined by a known antigen-antibody reaction and its elevation has been confirmed in advance), collecting whole blood about 3 to 10 days after final immunization, and purifying the antiserum. Animals to receive the antigen include mammals such as rats, mice, rabbits, goat, guinea pigs, and hamsters.


The monoclonal antibody can also be prepared by cell fusion. For example, the above-described antigen, along with a commercially available adjuvant, is subcutaneously or intraperitoneally administered to a mouse 2 to 4 times, and 3 days after final administration, the spleen or lymph nodes are collected, and leukocytes are collected. These leukocytes and myeloma cells (for example, NS-1, P3X63Ag8 and the like) are cell-fused to obtain a hybridoma that produces a monoclonal antibody against the factor. This cell fusion may be performed by the PEG method or the voltage pulse method. A hybridoma that produces the desired monoclonal antibody can be selected by detecting an antibody that binds specifically to the antigen in the culture supernatant, using a widely known EIA or RIA method and the like. Cultivation of the hybridoma that produces the monoclonal antibody can be performed in vitro, or in vivo such as in ascitic fluid of a mouse or rat, preferably a mouse, and the antibody can be acquired from the culture supernatant of the hybridoma or the ascitic fluid of the animal.


The antibody may be a chimeric antibody, a humanized antibody or a human antibody.


A chimeric antibody means a monoclonal antibody derived from immunoglobulins of animal species having mutually different variable regions and constant regions. For example, the chimeric antibody can be a mouse/human chimeric monoclonal antibody whose variable region is a variable region derived from a mouse immunoglobulin, and whose constant region is a constant region derived from a human immunoglobulin. The constant region derived from a human immunoglobulin has an amino acid sequence unique depending on the isotype, IgG, IgM, IgA, IgD, IgE or the like, and the constant region of a recombinant chimeric monoclonal antibody in the present invention may be the constant region of a human immunoglobulin belonging to any isotype. The constant region of human IgG is preferable.


A chimeric antibody can be prepared by a method known per se. For example, a mouse/human chimeric monoclonal antibody can be prepared according to available reports (e.g., Jikken Igaku (extra issue), Vol. 6, No. 10, 1988 and JP-B-HEI-3-73280). In detail, a mouse/human chimeric monoclonal antibody can be prepared by inserting the CH gene acquired from the DNA that encodes a human immunoglobulin (C gene that encodes H chain constant region) downstream of the active VH gene acquired from the DNA that encodes a mouse monoclonal antibody, isolated from a hybridoma that produces the mouse monoclonal antibody (rearranged VDJ gene that encodes H chain variable region), and inserting the CL gene acquired from the DNA that encodes a human immunoglobulin (C gene that encodes L chain constant region) downstream of the active VL gene acquired from the DNA that encodes a mouse monoclonal antibody, isolated from the hybridoma (rearranged VJ gene that encodes L chain variable region), into one or separate expression vectors in a way that allows the expression of each gene, transforming a host cell with the expression vector, and culturing the transformant cell.


A humanized antibody means a monoclonal antibody prepared by a gene engineering technique, for example, a human type monoclonal antibody wherein some or all of the complementarity-determining regions of the ultra-variable region thereof are derived from a mouse monoclonal antibody, and the framework region of the variable region thereof and the constant region thereof are derived from a human immunoglobulin. The complementarity-determining regions of the ultra-variable region are three regions that are present in the ultra-variable region in the variable region of the antibody, and that complementarily bind directly to the antigen (complementarity-determining regions; CDR1, CDR2, CDR3), and the framework regions of the variable region are four relatively highly conserved regions interposing the front and back of the three complementarity-determining regions (frameworks; FR1, FR2, FR3, FR4). Hence, a humanized antibody means, for example, a monoclonal antibody wherein all regions other than some or all of the complementarity-determining regions of the ultra-variable region of a mouse monoclonal antibody are replaced with corresponding regions of a human immunoglobulin.


A humanized antibody can be prepared by a method known per se. For example, a recombinant humanized antibody derived from a mouse monoclonal antibody can be prepared according to available reports (e.g., Japanese Patent Application Kohyo Publication No. HEI-4-506458 and JP-A-SHO-62-296890). In detail, from a hybridoma that produces a mouse monoclonal antibody, at least one mouse H chain CDR gene and at least one mouse L chain CDR gene corresponding to the mouse H chain CDR gene are isolated, and from a human immunoglobulin gene, the human H chain gene that encodes all regions other than the human H chain CDR corresponding to the mouse H chain CDR and the human L chain gene that encodes all regions other than the human L chain CDR corresponding to the mouse L chain CDR are isolated. The mouse H chain CDR gene and human H chain gene isolated are introduced into an appropriate expression vector expressibly; likewise, the mouse L chain CDR gene and the human L chain gene are introduced into another appropriate expression vector expressively. Alternatively, the mouse H chain CDR gene/human H chain gene and the mouse L chain CDR gene/human L chain gene can be introduced into the same expression vector expressively. By transforming a host cell with the expression vector thus prepared, it is possible to obtain a cell that produces a humanized antibody, and by culturing the cell, the desired humanized antibody can be obtained from the culture supernatant.


A human antibody means an antibody wherein all regions comprising the variable regions and constant regions of the H chain and L chain constituting an immunoglobulin are derived from the gene that encodes a human immunoglobulin.


A human antibody can be prepared by a method known per se. For example, a human antibody can be produced by immunologically sensitizing with an antigen a transgenic animal prepared by incorporating at least a human immunoglobulin gene into a gene locus of a non-human mammal such as a mouse, in the same way as the above-described method of preparing a polyclonal antibody or a monoclonal antibody. For example, a transgenic mouse that produces a human antibody can be prepared according to available reports (Nature Genetics, Vol. 15, p. 146-156, 1997; Nature Genetics, Vol. 7, p. 13-21, 1994; Japanese Patent Application Kohyo Publication No. HEI-4-504365; International Patent Application Publication WO94/25585; Nature, Vol. 368, p. 856-859, 1994; and Japanese Patent Application Kohyo Publication No. HEI-6-500233).


The antibody may be a part of the above-mentioned antibody (e.g., monoclonal antibody). The antibody may be a fragment such as F(ab′)2, Fab′, Fab, Fv and the like, a conjugate molecule prepared by genetic engineering such as scFv, scFv-Fc, minibody, diabody and the like, or a derivative thereof, which is modified by a molecule and the like having a protein stabilizing action such as polyethylene glycol (PEG) and the like, and the like.


The above-described antibody may be in the form of an immunoconjugate bound with various anticancer substances and the like by a conventional method. In this case, the antibody functions as a drug delivery system for delivering an anticancer agent to LSCS. Anticancer substances to be combined include, but are not limited to, cisplatin, carboplatin, cyclophosphamide, melphalan, carmusulin, methotrexate, 5-fluorouracil, cytarabine (AraC), mercaptopurine, daunorubicin, idarubicin, mitoxantrone, thioguanine, azacitidine, amsacrine, doxorubicin, tretinoin, allopurinol, prednisone (prednisolone), epirubicin, vinblastine, vincristine, dactinomycin (actinomycin), mitomycin C, taxol, L-asparaginase, etoposide, colchicine, deferoxamine mesylate, camptothecin and the like. Furthermore, the antibody may be an immunoconjugate with a radionuclide, toxin and the like.


The agent of the present invention can comprise, in addition to a substance capable of suppressing the expression of a leukemic stem cell marker gene or the activity of a translation product of the gene, an optionally chosen carrier, for example, a pharmaceutically acceptable carrier. Examples of pharmaceutically acceptable carriers include, but are not limited to, excipients such as sucrose, starch, mannitol, sorbitol, lactose, glucose, cellulose, talc, calcium phosphate and calcium carbonate; binders such as cellulose, methylcellulose, hydroxypropylcellulose, polypropylpyrrolidone, gelatin, acacia, polyethylene glycol, sucrose and starch; disintegrants such as starch, carboxymethylcellulose, hydroxypropyl starch, sodium-glycol-starch, sodium hydrogen carbonate, calcium phosphate and calcium citrate; lubricants such as magnesium stearate, Aerosil, talc and sodium lauryl sulfate; flavoring agents such as citric acid, menthol, glycyrrhizin ammonium salt, glycine and orange powder; preservatives such as sodium benzoate, sodium hydrogen sulfite, methyl paraben and propyl paraben; stabilizers such as citric acid, sodium citrate and acetic acid; suspending agents such as methylcellulose, polyvinylpyrrolidone and aluminum stearate; dispersing agents such as surfactants; diluents such as water, physiological saline and orange juice; base waxes such as cacao butter, polyethylene glycol and refined kerosene; and the like.


Preparations suitable for oral administration are liquids prepared by dissolving an effective amount of a substance in a diluent such as water or physiological saline, capsules, sachets or tablets containing an effective amount of a substance in the form of solids or granules, suspensions prepared by suspending an effective amount of a substance in an appropriate dispersant, emulsions prepared by dispersing and emulsifying a solution of an effective amount of a substance in an appropriate dispersant, or powders, granules and the like.


Preparations suitable for parenteral administration (e.g., intravenous injection, subcutaneous injection, intramuscular injection, topical injection and the like) are aqueous and non-aqueous isotonic sterile injectable liquids, which may contain an antioxidant, a buffer solution, a bacteriostatic agent, an isotonizing agent and the like. Aqueous and non-aqueous sterile suspensions can also be mentioned, which may contain a suspending agent, a solubilizer, a thickening agent, a stabilizer, an antiseptic and the like. These preparations can be enclosed in containers such as ampoules and vials for unit dosage or a plurality of dosages. It is also possible to freeze-dry the active ingredient and a pharmaceutically acceptable carrier, and store the preparation in a state that may be dissolved or suspended in an appropriate sterile vehicle just before use.


Although the dosage of the agent of the present invention varies depending on the activity and choice of active ingredient, the mode of administration (e.g., oral, parenteral), the seriousness of disease, the animal species which is the subject of administration, the drug tolerance, body weight and age of the subject of administration, and the like, and cannot be generalized, it is normally about 0.001 mg to about 5.0 g as the amount of active ingredient per day for an adult.


The subject of administration of the agent of the present invention is not particularly limited, as far as it is an animal species having a hematopoietic tissue (bone marrow), and possibly contracting acute myeloid leukemia, and it is preferably a mammal, more preferably a human.


(Method of Production)

The present invention also provides a method for producing a sample containing hematopoietic cells for autologous transplantation or allogeneic transplantation for a patient with acute myeloid leukemia. The production method of the present invention comprises,


a) a step of collecting a sample containing hematopoietic cells from the patient or a donor,


b) a step of bringing the collected sample into contact with at least one kind of substance that recognizes a translation product of a leukemic stem cell marker gene, and


c) a step of sorting cells to which the above-described substance has been bound, and obtaining the sample from which leukemic stem cells have been purged. Accordingly, the present invention makes it possible to substantially remove leukemic stem cells from a sample containing hematopoietic cells for autologous transplantation or allogeneic transplantation, and provide a sample for transplantation without the fear of recurrences.


The leukemic stem cell marker genes are as mentioned above; for the purpose of purging, however, it is preferred to target at least one kind of cell surface marker gene selected from among the following set of genes:


ADFP, ALOX5AP, CACNB4, CD33, CD3D, CD93, CD97, CLEC12A, DOK2, FCER1G, FCGR2A, GPR34, GPR84, HCST, HOMER3, IL2RA, IL2RG, IL3RA, ITGB2, LY86, P2RY5, PTH2R, SUCNR1, TNFRSF4, TYROBP and VNN1.


a) Step of Collecting a Sample Containing Hematopoietic Cells from a Patient with Acute Myeloid Leukemia or a Donor


Sample collection is normally achieved by bone marrow aspiration or peripheral blood collection. Bone marrow aspiration is performed on the sternum or ilium on the basis of, for example, the method described in S. E. Haynesworth et al., Bone, 13, 81 (1992) and the like. Specifically, the skin surface of the portion for aspirating the bone marrow is disinfected, and topical anesthesia is performed. The subperiosteal region, in particular, is anesthetized sufficiently. The inner cylinder of the puncture needle is removed, a 10 mL syringe containing 5000 units of heparin is attached, and the required amount of bone marrow fluid is quickly aspirated. On average, 10 mL to 20 mL of bone marrow fluid is aspirated. The puncture needle is removed, and astriction is performed for about 10 minutes. The bone marrow fluid acquired is centrifuged at 1,000×g, and bone marrow cells are recovered, after which the bone marrow cells are washed with PBS (Phosphate Buffered Saline). After the washing step is repeated several times, a sample containing hematopoietic cells can be obtained.


In the case of peripheral blood, collection is performed from a vein. Specifically, the skin surface of the portion for peripheral blood collection is disinfected. The inner cylinder of the injection needle is removed, a 10 mL syringe containing 5000 units of heparin is attached, and the required amount of peripheral blood is quickly aspirated. On average, 10 mL to 20 mL of peripheral blood is aspirated. The injection needle is removed, and astriction is performed for about 10 minutes. The peripheral blood acquired is centrifuged at 1,000×g, and peripheral blood cells are recovered, after which the peripheral blood cells are washed with PBS (Phosphate Buffered Saline). After the washing step is repeated several times, a sample containing hematopoietic cells can be obtained.


b) Step of Bringing the Collected Sample into Contact with a Substance that Recognizes a Translation Product of at Least One Kind of Leukemic Stem Cell Marker Gene


The substances that recognize a translation product of the marker genes for use in this step include antibodies described above, with particular preference given to antibodies against at least one kind of cell surface marker selected from among ADFP, ALOX5AP, CACNB4, CD33, CD3D, CD93, CD97, CLEC12A, DOK2, FCER1G, FCGR2A, GPR34, GPR84, HCST, HOMER3, IL2RA, IL2RG, IL3RA, ITGB2, LY86, P2RY5, PTH2R, SUCNR1, TNFRSF4, TYROBP and VNN1. Preferably, the antibodies are fluorescently labeled, and preferable fluorescent dyes used for the labeling are fluorescent substances commonly used for flow cytometry. Specific examples of fluorescent dyes include FITC (fluorescein isothiocyanate), PE (phycoerythrin), PerCP (peridinin-chlorophyll-protein), PerCP-Cy5.5, PE-Cy5, PE-Cy7, PE-TR (PE-Texas Red), APC (allophycocyanin), APC-Cy7 and the like. Conditions for the contacting are not particularly limited, as far as a contact between the above-mentioned cell surface marker (antigen) and the antibody can be achieved.


c) Step of Sorting Cells to which the Above-Described Substance has Bound, and Obtaining the Sample from which Leukemic Stem Cells have been Purged


In this step, cell sorting can easily be accomplished by combining with flow cytometry. The sample in contact with a fluorescently labeled antibody is set to a flow cytometer, and the cells bound to the antibody are sorted; leukemic stem cells can be separated from the sample.


The thus-obtained LSC-purged sample can be used for the treatment of AML patients, without the fear of recurrences, as the LSCS have been efficiently eliminated, whereas HSCs have been concentrated escaping elimination.


EXAMPLES

The present invention is hereinafter described in detail by means of the following Examples, by which, however, the invention is not limited in any way.


Human Samples

All experiments were conducted with the approval of the Institutional Review Board for Human Research of the RIKEN Research Center for Allergy and Immunology. Leukemia cells derived from AML patients were collected with informed consent in writing. CB (cord blood) derived from healthy donors, along with informed consent in writing, was collected by the Tokyo Cord Blood Bank. BMMNCs (bone marrow mononuclear cells) derived from healthy donors were obtained from Cambrex (Walkerville, Md.). BMMNCs and CBMNCs (cord blood mononuclear cells) derived from AML patients were isolated using density gradient centrifugation.


FACS and Flow Cytometric Analysis

For fluorescence-activated cell sorting (FACS), BMMNC cells from AML patients were labeled with fluorescent dye-coupled mouse anti-hCD3, anti-hCD4, anti-hCD8, anti-hCD34 and anti-hCD38 monoclonal antibodies (BD Biosciences, San Jose, Calif.), and recipient BMMNC cells were labeled with mouse anti-hCD45, anti-hCD34 and anti-hCD38 monoclonal antibodies (BD Biosciences); the cells were sorted using FACSAria (BD Biosciences). Doublets were eliminated via analyzing FSC/SSC height and FSC/SSC width. After the sorting, the purity of hCD34+hCD38− and hCD34+cells was higher than 98%. For flow cytometric analysis, BMMNCs of AML patients, recipient peripheral blood or recipient BM was labeled with the above-described fluorescent dye-coupled mouse anti-hCD3, anti-hCD4, anti-hCD8, anti-hCD34 and anti-hCD38 monoclonal antibodies or mouse anti-hCD45, anti-hCD34 and anti-hCD38 monoclonal antibodies.


Microarray Analysis

Total RNA was extracted using TRIzol Reagent (Invitrogen), and the integrity of the RNA was then assessed with Agilent Bioanalyzer. Biotinylated cRNAs were synthesized using Two-Cycle Target Labeling Kit (Affymetrix) for Human Genome U133 plus 2.0 GeneChip (Affymetrix). For Human Gene 1.0ST GeneChip (Affymetrix), a first round of cDNA synthesis and cRNA amplification were performed using MessageAmp Premier RNA Amplification Kit (Applied Biosystems), and a subsequent second round of cDNA synthesis, biotinylation and fragmentation were performed using WT cDNA Synthesis and Terminal Labeling kits (Affymetrix). Hybridization, washing, staining and scanning were performed according to the manufacturers' instruction. Firstly, the microarray data for each platform was separately analyzed using Bioconductor package (www.bioconductor.org/). The signal intensities of probe sets on the microarray platforms were normalized with GC-RMA program (Zhijin et al., J. Am. Stat. Assoc., 99, 909-917, 2004). For each platform, the normalized data was analyzed with RankProd program (Hong et al., Bioinformatics, 22, 2825-2827, 2006) to select genes differentially expressed between LSCS and HSCs with the cutoff p value of 0.01 and the false-positive estimation of 0.05%. When a significantly higher level of expression was observed in LSC than in HSC commonly in both the microarray platforms, the gene was selected as a significant candidate LSC marker gene (FIG. 5, Table 1). In addition, the gene IL2RA, which gave a high hit rate for Human Gene 1.0ST GeneChip, and provided favorable results in the protein level analysis, was also selected as a candidate marker gene, since it is expressed in stem cells resistant to anticancer drugs as described below (Table 1). The localization and the biological function of the candidates were annotated based on information from Ingenuity Pathway Analysis Database (Ingenuity Systems) and Gene Ontology Annotation Database (www.ebi.ac.uk/GOA/).


Quantitative PCR (qPCR) Analysis


Ten ng of total RNA from HSCs or LSCS was subjected to cDNA amplification using WT-Ovation RNA Amplification System (Nugen). The cDNA products were diluted 1:7.5 in TE, and 1 μl of the dilution products was used per 25 μl of qPCR reaction. The sequences of doubly-labeled fluorescent probes and gene specific primers (Sigma-Aldrich) were listed in Table 3. PCR reactions were performed using LightCycler 480 (Roche Applied Science) with Platinum Quantitative PCR SuperMix-UDG (Invitrogen). The abundance of the respective transcripts was calculated by the standard curve method (Methods, 25, 386-401, 2001). When any of Kruskal-Wallis, Wilcoxon-Mann-Whitney and Student's t-test in Kaleida Graph software package showed P<0.05, it was determined there is a significant difference in the expression level between LSC and HSC.


Animals

NOD.Cg-PrkdcscidIl2rgtmlWjl/Sz (NOD/SCID/IL2rgγnull) mice were developed at The Jackson Laboratory (Bar Harbor, Me.) by backcrossing a complete null mutation at the Il2rg locus onto the NOD.Cg-Prkdcscid (NOD/SCID) strain (Shultz, L. D. et al. Multiple defects in innate and adaptive immunologic function in NOD/LtSz-scid mice. J Immunol 154, 180-191 (1995)). Mice were bred and maintained under defined flora with irradiated food and acidified water at the animal facility of RIKEN and at The Jackson Laboratory according to guidelines established by the Institutional Animal Committees at the respective institutions.


Heterologous Transplantation

Newborn (within 2 days of birth) NOD/SCID/IL2rgnull mice received 150 cGy of total body irradiation using a 137Cs-source irradiator, followed by intravenous injection of AML cells within two hours. The recipients were subjected to blood sampling from retro-orbital every 3-4 weeks, and human AML transplantation chimerism in peripheral blood was assessed.


Immunofluorescent Labeling and Imaging

Para-formaldehyde-fixed decalcified paraffin-embedded sections were prepared from a femoral bone of a primary AML transplantation recipient. The primary antibodies used for labeling were a mouse anti-human CD45 monoclonal antibody (DAKO, Denmark) and a rabbit anti-CD32 monoclonal antibody (Abcam, UK). Laser scanning confocal imaging was obtained using Zeiss LSM Exciter and LSM 710 (Carl Zeiss).


Immunofluorescent Labeling and Imaging (2)

Para-formaldehyde-fixed decalcified paraffin-embedded sections were prepared from a femoral bone of a recipient of transplantation of primary AML treated with an anticancer agent, and stained with antibodies against DAPI (nuclear staining: blue); various markers (FCGR2A, AK5, DOK2, LRG1, BIK, IL2RA, Wil, SUCNR1: red); and stationary cell markers (green: CD34 (FCGR2A, AK5, DOK2, LRG1, BIK) or Ki67 (IL2RA, WT1, SUCNR1). Laser scanning confocal imaging was obtained using Zeiss LSM Exciter and LSM 710 (Carl Zeiss) (FIG. 7).









TABLE 2







List of genes whose transcription product is expressed in larger amounts in AML CD3+CD38− LSCs than in normal CD34+CD38− HSCs









Number of












Ratio of
LSC samples



Statistics
median
showing a higher






















Wilcoxon-

values
expression than



Gene




Mann-
Kruskal-
(LSC/
any HSC samples


GeneID
name
Location
Function
Process
T-test
Whitney
Wallis
HSC)
(Maximum: 5)



















123
ADFP
cell membrane


0.011
0.032
0.027
5.5
4


26289
AK5
cytoplasm
signaling molecule

0.014
0.018
0.018
>10000
5


241
ALOX5AP
cell membrane


0.125
0.016
0.014
33.8
5


93663
ARHGAP18
unknown
signaling molecule

0.033
0.063
0.050
2.3
4


688
BIK
cytoplasm

apoptosis
0.087
0.016
0.014
129.4
5


785
CACNB4
cell membrane


0.009
0.016
0.014
50.4
5


6352
CCL5
extracellular space
cytokine
immunity,
0.018
0.016
0.014
58.4
5






cell adhesion


945
CD33
cell membrane
signaling molecule
cell adhesion
0.002
0.016
0.014
8.0
5


915
CD8D
cell membrane
transmembranous

0.086
0.015
0.011
>10000
5





receptor


22918
CD93
cell membrane

cell adhesion
0.018
0.016
0.014
27.1
5


976
CD97
cell membrane
transmembranous
immunity,
0.014
0.016
0.014
5.7
5





receptor
cell adhesion


160364
CLEC12A
cell membrane


0.049
0.016
0.014
180.2
5


1075
CTSC
cytoplasm

immunity
<0.001
0.016
0.014
6.6
5


1636
CYB8
cytoplasm

immunity
0.107
0.036
0.027
639.5
4


9046
DOK2
cell membrane
signaling molecule

0.080
0.019
0.014
31.5
5


2207
FCER1G
cell membrane
transmembranous
immunity,
0.042
0.016
0.014
24.5
4





receptor
apoptosic


2212
FCGR2A
cell membrane
transmembranous

0.347
0.016
0.014
31.1
5





receptor


2519
FUCA2
extracellular space


0.005
0.016
0.014
2.7
5


2533
FYB
nucleus
signaling molecule
immunity
0.031
0.018
0.013
5.4
5


2857
GPR34
cell membrane
transmembranous

0.085
0.016
0.014
4.3
5





receptor


58831
GPR84
cell membrane
transmembranous

0.259
0.016
0.014
3521.9
5





receptor


8055
HCK
cytoplasm
signaling molecule

0.031
0.016
0.014
82.6
5


10870
HCST
cell membrane


<0.001
0.016
0.014
17.3
5


3082
HGF
extracellular space
growth factor

0.034
0.191
0.142
27.2
4


3142
HLX
nucleus
transcriptional

0.003
0.016
0.014
2.9
5





regulation molecule


9454
HOMER3
cell membrane
signaling molecule

0.081
0.018
0.013
330.1
5


3561
IL2RG
cell membrane
transmembranous
immunity
0.039
0.016
0.014
3.0
5





receptor


3563
IL3RA
cell membrane
transmembranous

0.142
0.016
0.014
2.7
5





receptor


3689
ITGB2
cell membrane
signaling molecule
cell adhesion,
0.016
0.016
0.014
5.6
5






apoptosis


3956
LGALS1
extracellular space

apoptosis
0.011
0.016
0.014
84.5
5


9404
LPXN
cytoplasm
signaling molecule
cell adhesion
0.008
0.016
0.014
5.2
5


116844
LRG1
extracellular space


0.023
0.016
0.014
18.8
5


9450
LY86
cell membrane

immunity,
0.166
0.065
0.049
14.8
4






apoptosis


11320
MGAT4A
extracellular space


0.081
0.063
0.050
2.6
4


4689
NCF4
cytoplasm

immunity
0.008
0.016
0.014
5.7
5


10783
NEK6
nucleus
signaling molecule
cell cycle,
0.007
0.016
0.014
5.3
5






apoptosis


10161
P2RY5
cell membrane
transmembranous

0.043
0.063
0.050
20.8
4





receptor


5152
PDE9A
cytoplasm
signaling molecule

0.140
0.016
0.014
42.0
5


5163
PDK1
cytoplasm
signaling molecule

0.004
0.016
0.014
11.7
5


5580
PRKCD
cytoplasm
signaling molecule

0.059
0.016
0.014
24.2
5


10942
PRSS21
extracellular space


0.023
0.191
0.142
43.3
4


5746
PTH2R
cell membrane
transmembranous

0.188
0.019
0.014
9.3
5





receptor


55647
RAB20
cytoplasm
signaling molecule

0.117
0.019
0.014
157.1
5


4218
RAB8A
cytoplasm
signaling molecule

0.017
0.063
0.050
2.1
3


5877
RABIF
unknown
signaling molecule

0.008
0.016
0.014
3.1
5


6086
RNASE2
extracellular space


0.152
0.016
0.014
88.1
5


29015
SLC43A8
extracellular space


0.013
0.016
0.014
3.3
5


56670
SUCNR1
cell membrane
transmembranous

0.075
0.032
0.027
29.9
4





receptor


7076
TIMP1
extracellular space


0.020
0.032
0.027
3.4
4


7124
TNF
extracellular space
cytokine
immunity,
0.325
0.016
0.014
2855.3
5






apoptosis


7293
TNFRSF4
cell membrane
transmembranous
immunity
0.327
0.034
0.025
>10000
4





receptor


10673
TNFSF13B
extracellular space
cytokine
immunity
0.017
0.016
0.014
6.1
5


54957
TXNL4B
nucleus

cell cycle
0.045
0.082
0.027
3.4
4


7305
TYROBP
cell membrane
signaling molecule

0.016
0.016
0.014
14.8
5


8876
VNN1
cell membrane

immunity,
0.151
0.016
0.014
11.0
5






apoptosis,






cell adhesion


7490
WT1
nucleus
transcriptional
cell cycle
0.164
0.019
0.014
100.6
5





regulation molecule


11130
ZWINT
nucleus

cell cycle
0.078
0.032
0.027
2.2
4
















TABLE 3







List of primers, probes and PCR products used in qRT-PCR



















PCR








pro-





Tm


duct


Gene
Primer/Probe
Sequence
[° C.]
b.p.
Prospective sequence of PCR product
b.p.





Hs_ACTR2
Hs_ACTR2-Probe
TCCTGGCCTGCCATCACGGTTGGA (SEQ ID NO: 1)
64.7
24
GTGCTTTCTGGAGGGTCTACTATGTATCCTGGCCTGCCATCACGGTTGGAACGAGAA
140



Hs_ACTR2-F
GTGCTTTCTGGAGGGTCTACTATG (SEQ ID NO: 2)
63.9
24
CTTAAACAGCTTTACTTAGAACGAGTTTTGAAGGGTGATGTGGAAAAACTTTCTAAA




Hs_ACTR2-R
GGTGGGTCTTCAATGCGGATC (SEQ ID NO: 3)
69.8
21
TTTAAGATCCGCATTGAAGACCCACC (SEQ ID NO: 175)






Hs_ADFP
Hs_ADFP-Probe
ACTGATGAGTCCCACTGTGCTGAGCA (SEQ ID NO: 4)
73.9
26
GTAGAGTGGAAAAGGAGCATTGGATATGATGATACTGATGAGTCCCACTGTGCTGAG
150



Hs_ADFP-F
GTAGAGTGGAAAAGGAGCATTGG (SEQ ID NO: 5)
64.7
23
CACATTGAGTCACGTACTCTTGCAATTGCCCGCAACCTGACTCAGCAGCTCCAGACC




Hs_ADFP-R
TACACCTTGGATGTTGGACAGG (SEQ ID NO: 6)
65.8
22
ACGTGCCACACCCTCCTGTCCAACATCCAAGGTGTA (SEQ ID NO: 176)






Hs_AK5
Hs_AK5-Probe
CCTCATCCTCATCGCGGTCGGCATCA (SEQ ID NO: 7)
65.9
26
GCTGCTCCATTGGTTAAATACTTCCAGGAAAAGGGGCTCATCATGACATTTGATGCC 
108



Hs_AK5-F
GCTGCTCCATTGGTTAAATACTTCC (SEQ ID NO: 8)
66.4
25
GACCGCGATGAGGATGAGGTGTTCTATGACATCAGCATGGCAGTTGACAAC (SEQ




Hs_AK5-R
GTTGTCAACTGCCATGCTGATG (SEQ ID NO: 9)
67.7
22
ID NO: 177)






Hs_AL0X5A
Hs_AL0X5AP-Probe
AGAACGCAGAGCACCCCTGGCTACAT (SEQ ID NO: 10)
75.4
26
AGTACTTTGTCGGTTACCTAGGAGAGAGAACGCAGAGCACCCCTGGCTACATATTTG
116



Hs_AL0X5AP-F
AGTACTTTGTCGGTTACCTAGGAG (SEQ ID NO: 11) 
60.5
24
GGAAACGCATCATACTCTTCCTGTTCCTCATGTCCGTTGCTGGCATATTCAACTATT




Hs_AL0X5AP-R
GTAATAGTTGAATATGCCAGCAACG (SEQ ID NO: 12)
64.1
25
AC (SEQ ID NO: 178)






Hs_ARHGAP1
Hs_ARHGAP18-
TCAGGCTGTCCAGAATCTTCCAACCAAG (SEQ ID NO: 13)
74.7
28
GCTCAGTGTGGAGTATCTCAAAGCCTTTCAGGCTGTCCAGAATCTTCCAACCAAGAA
124



Probe








Hs_ARHGAP18-F
GCTCAGTGTGGAGTATCTCAAAG (SEQ ID NO: 14)
61.8
23
GCAGCAACTACAGGCTTTGAACCTTCTTGTCATCCTCCTACCTGATGCAAACAGGGA




Hs_ARHGAP18-R
CTTCAGTGTGTCCCTGTTTGC (SEQ ID NO: 15)
64.6
21
CACACTGAAG (SEQ ID NO: 179)






Hs_BIK
Hs_BIK-Probe
CGCCTGGCCCAGCTCTCCGAGG (SEQ ID NO: 16)
68.9
22
TCGGGGACGAGATGGACGTGAGCCTCAGGGCCCCGCGCCTGGCCCAGCTCTCCGAGG
103



Hs_BIK-F
AGATGGACGTGAGCCTCAGG (SEQ ID NO: 17)
66.7
20
TGGCCATGCACAGCCTGGGTCTGGCTTTCATCTACGACCAGACTGA (SEQ ID




Hs_BIK-R
TCAGTCTGGTCGTAGATGAAAGC (SEQ ID NO: 18)
64.4
23
NO: 180)






Hs_CACNB4
Hs_CACNB4-Probe
AGCGAATGAGGCACAGCAACCACTCC (SEQ ID NO: 19)
77.0
26
CCACAGCAATTTCTGGGTTACAGAGTCAGCGAATGAGGCACAGCAACCACTCCACAG
145



Hs_CACNB4-F
CCACAGCAATTTCTGGGTTACAG (SEQ ID NO: 20)
66.4
23
AGAACTCTCCAATTGAAAGACGAAGTCTAATGACCTCTGATGAAAATTATCACAATG




Hs_CACNB4-R
GACAAGCGGTTCCTACTCTTCC (SEQ ID NO: 21)
65.0
22
AAAGGGCTCGGAAGAGTAGGAACCGCTTGTC (SEQ ID NO: 181)






Hs_CCL5
Hs_CCL5-Probe
AACCCAGCAGTCGTCTTTGTCACCCG (SEQ ID NO: 22)
76.7
26
TCAAGGAGTATTTCTACACCAGTGGCAAGTGCTCCAACCCAGCAGTCGTCTTTGTCA
109



Hs_CCL5-F
TCAAGGAGTATTTCTACACCAGTGG (SEQ ID NO: 23)
64.0
25
CCCGAAAGAACCGCCAAGTGTGTGCCAACCCAGAGAAGAAATGGGTTCGGGA (SEQ




Hs_CCL5-R
TCCCGAACCCATTTCTTCTCTG (SEQ ID NO: 24)
68.2
22
ID NO: 182)






Hs_CD33
Hs_CD33-Probe
TACCACAGGGTCAGCCTCCCCGAAAC (SEQ ID NO: 25)
77.1
26
CAGCAGTGGGCAGGAATGACACCCACCCTACCACAGGGTCAGCCTCCCCGAAACACC
136



Hs_CD33-F
CAGCAGTGGGCAGGAATGAC (SEQ ID NO: 26)
68.1
20
AGAAGAAGTCCAAGTTACATGGCCCCACTGAAACCTCAAGCTGTTCAGGTGCCGCCC




Hs_CD33-R
TCCTCATCCATCTCCACAGTAGG (SEQ ID NO: 27)
66.3
23
CTACTGTGGAGATGGATGAGGA (SEQ ID NO: 183)






Hs_CD3D
Hs_CD3D-Probe
TGTTCCCACCGTTCCCTCTACCCATG (SEQ ID NO: 28)
76.2
26
TGGTACTGGCTACCCTTCTCTCGCAAGTGAGCCCCTTCAAGATACCTATAGAGGAAC
148



Hs_CD3D-F
TGGTACTGGCTACCCTTCTCTC (SEQ ID NO: 29)
63.3
22
TTGAGGACAGAGTGTTTGTGAATTGCAATACCAGCATCACATGGGTAGAGGGAACGG




Hs_CD3D-R
TCCAGTCTTGTAATGTCTGACAGC (SEQ ID NO: 30)
63.5
24
TGGGAACACTGCTCTCAGACATTACAAGACTGGA (SEQ ID NO: 184)






Hs_CD93
Hs_CD93-Probe
AGGGCCACCTCACTTTCAGCAGTCTG (SEQ ID NO: 31)
74.7
26
AATGCGGCAGACAGTTACTCCTGGGTTCCAGAGCGAGCTGAGAGCAGGGCCATGGAG
132



Hs_CD93-F
AATGCGGCAGACAGTTACTCC (SEQ ID NO: 32)
65.2
21
AACCAGTACAGTCCGACACCTGGGACAGACTGCTGAAAGTGAGGTGGCCCTAGAGAC




Hs_CD93-R
GTGGCTGGTGACTCTAGTGTC (SEQ ID NO: 33)
61.4
21
ACTAGAGTCACCAGCCAC (SEQ ID NO: 185)






Hs_CD97
Hs_CD97-Probe
CGCCTTCCTCTACCTGCTGCACTGC (SEQ ID NO: 34)
76.0
25
CTATGTGTTTACCATCCTCAACTGCCTGCAGGGCGCCTTCCTCTACCTGCTGCACTG
 99



Hs_CD97-F
CTATGTGTTTACCATCCTCAACTGC (SEQ ID NO: 35)
64.4
25
CCTGCTCAACAAGAAGGTTCGGGAAGAATACCGGAAGTGGGC (SEQ ID NO:




Hs_CD97-R
GCCCACTTCCGGTATTCTTCC (SEQ ID NO: 36)
67.5
21
186)






Hs_CLEC12
Hs_CLEC12A-Probe
CCTCTCCACCACACTGCAAACAATAGCCAC (SEQ ID NO: 37)
76.7
30
ACATGAATATCTCCAACAAGATCAGGAACCTCTCCACCACACTGCAAACAATAGCCA
143



Hs_CLEC12A-F
ACATGAATATCTCCAACAAGATCAGG (SEQ ID NO: 38)
64.9
26
CCAAATTATGTCGTGAGCTATATAGCAAAGAACAAGAGCACAAATGTAAGCCTTGTC




Hs_CLEC12A-R
GCTGTCCTTATGCCAAATCCATC (SEQ ID NO: 39)
67.3
23
CAAGGAGATGGATTTGGCATAAGGACAGC (SEQ ID NO: 187)






Hs_CTSC
Hs_CTSC-Probe
CCAGCGCGATGTCAACTGCTCGGTT (SEQ ID NO: 40)
78.7
25
TCTTCCAGGTGGGCTCCAGCGGTTCCCAGCGCGATGTCAACTGCTCGGTTATGGGAC
128



Hs_CTSC-F
TCTTCCAGGTGGGCTCCAG (SEQ ID NO: 41)
67.8
19
CACAAGAAAAAAAAGTAGTGGTGTACCTTCAGAAGCTGGATACAGCATATGATGACC




Hs_CTSC-R
GCCAGAATTGCCAAGGTCATC (SEQ ID NO: 42)
67.7
21
TTGGCAATTCTGGC (SEQ ID NO: 188)






Hs_CYBB
Hs_CYBB-Probe
TGCCAACAGGGTCACAGCCAGGTACA (SEQ ID NO: 43)
77.4
26
TGATCCTTATTCAGTAGCACTCTCTGAACTTGGAGACAGGCAAAATGAAAGTTATCT
150



Hs_CYBB-F
TGATCCTTATTCAGTAGCACTCTCTG (SEQ ID NO: 44)
63.5
26
CAATTTTGCTCGAAAGAGAATAAAGAACCCTGAAGGAGGCCTGTACCTGGCTGTGAC




Hs_CYBB-R
AGCGTGATGACAACTCCAGTG (SEQ ID NO: 45)
65.3
21
CCTGTTGGCAGGCATCACTGGAGTTGTCATCACGCT (SEQ ID NO: 189)






Hs_DOK2
Hs_DOK2-Probe
CCTCTCCAGAGACGCAGCGACGGC (SEQ ID NO: 46)
79.3
24
AGCTGTACGACTGGCCCTACAGGTTTCTGCGGCGCTTTGGGCGGGACAAGGTAACCT
121



Hs_DOK2-F
AGCTGTACGACTGGCCCTAC (SEQ ID NO: 47)
63.2
20
TTTCCTTTGAGGCAGGCCGTCGCTGCGTCTCTGGAGAGGGCAACTTTGAGTTCGAAA




Hs_DOK2-R
TGCCGGGTTTCGAACTCAAAG (SEQ ID NO: 48)
70.1
21
CCCGGCA (SEQ ID NO: 190)






Hs_FCER1G
Hs_FCER1G-Probe
AGCACCAGGAACCAGGAGACTTACGA (SEQ ID NO: 49)
72.2
26 
GAGAAATCAGATGGTGTTTACACGGGCCTGAGCACCAGGAACCAGGAGACTTACGAG
87



Hs_FCER1G-F
GAGAAATCAGATGGTGTTTACACG (SEQ ID NO: 50)
63.4
24
ACTCTGAAGCATGAGAAACCACCACAGTAG (SEQ ID NO: 191)




Hs_FCER1G-R
CTACTGTGGTGGTTTCTCATGC (SEQ ID NO: 51)
63.4
22







Hs_FCGR2A
Hs_FCGR2A-Probe
TGTCCCAGAAACCTGTGGCTGCTTCA (SEQ ID NO: 52)
76.7
26
GATGACTATGGAGACCCAAATGTCTCAGAATGTATGTCCCAGAAACCTGTGGCTGCT
137



Hs_FCGR2A-F
GATGACTATGGAGACCCAAATGTC (SEQ ID NO: 53)
64.4
24
TCAACCATTGACAGTTTTGCTGCTGCTGGCTTCTGCAGACAGTCAAGCTGCAGCTCC




Hs_FCGR2A-R
CAAGTTTCAGCACAGCCTTTGG (SEQ ID NO: 54)
67.8
22
CCCAAAGGCTGTGCTGAAACTTG (SEQ ID NO: 192)






Hs_FUCA2
Hs_FUCA2-Probe
CCCAGTAGTTTCACCTCTGTTGCCCC (SEQ ID NO: 55)
73.5
26
TTTCTTAAATGGCCCACATCAGGACAGCTGTTCCTTGGCCATCCCAAAGCTATTCTG
110



Hs_FUCA2-F
TTTCTTAAATGGCCCACATCAGG (SEQ ID NO: 56)
67.5
23
GGGGCAACAGAGGTGAAACTACTGGGCCATGGACAGCCACTTAACTGGATTTC 




Hs_FUCA2-R
GAAATCCAGTTAAGTGGCTGTCC (SEQ ID NO: 57)
64.6
23
(SEQ ID NO: 193)






Hs_FYB
Hs_FYB-Probe
AGCCAACCACCATGAAAGCATCTCAC (SEQ ID NO: 58)
78.1
26
ACCACCTCCACCATCCCATCCGGCCAGCCAACCACCATTGCCAGCATCTCACCCATC
147



Hs_FTB-F
ACCACCTCCACCATCCCATC (SEQ ID NO: 59)
68.3
20
ACAACCACCAGTCCCAAGCCTACCTCCCAGAAACATTAAACCTCCGTTTGACCTAAA




Hs_FTB-R
ACACCATCTTGATTGTCTTCATTGAC (SEQ ID NO: 60)
65.9
26
AAGCCGTGTCAATGAAGACAATCAAGATGGTGT (SEQ ID NO: 194)






Hs_GPR34
Hs_GPR34-Probe
TGGCCTTACTCCTCCCACAGAATGCG (SEQ ID NO: 61)
76.4
26
CATACCATAACAATGACGACAACTTCAGTCAGCAGCTGGCCTTACTCCTCCCAGAGA
135



Hs_GPR34-F
CATACCATAACAATGACGACAACTTC (SEQ ID NO: 62)
64.1
26
ATGCGCTTTATAACCAATCATAGCGACCAACCGCCACAAAACTTCTCAGCAACACCA




Hs_GPR34-R
CATGGGACAGGTAGTAACATTTGG (SEQ ID NO: 63)
65.0
24
AATGTTACTACCTGTCCCATG (SEQ ID NO: 195)






Hs_GPR84
Hs_GPR84-Probe
AGCCCAGCACAGACTCATGGTAGCAG (SEQ ID NO: 64)
73.8
26
CTTTGGGTGAGTTGAACTTCTTCCATTATAGAAAGAATTGAAGGCTGAGAAACTCAG
144



Hs_GPR84-F
CTTTGGGTGAGTTGAACTTCTTCC (SEQ ID NO: 65)
65.8
24
CCTCTATCATGTGGAACAGCTCTGACGCCAACTTCTCCTGCTACCATGAGTCTGTGC




Hs_GPR84-R
CCCAGCTAACTGCAACATAACG (SEQ ID NO: 66)
65.3
22
TGGGCTATCGTTATGTTGCAGTTAGCTGGG (SEQ ID NO: 196)






Hs_HCK
Hs_HCK-Probe
ACCCTCGCTTCAGCCACAGTTTCCTC (SEQ ID NO: 67)
75.2
26
CCCTTCCTACTCCCAGACACCCACCCTCGCTTCAGCCACAGTTTCCTCATCTGTCCA
 84



Hs_HCK-F
CCCTTCCTACTCCCAGACACC (SEQ ID NO: 68)
65.8
21
GTGGGTAGGTTGGACTGGAAAATCTCT (SEQ ID NO: 197)




Hs_HCK-R
AGAGATTTTCCAGTCCAACCTACC (SEQ ID NO: 69)
64.3
24







Hs_HCST
Hs_HCST-Probe
CCTGCTTTTGCTCCCAGTGGCTGC (SEQ ID NO: 70)
76.9
24
GATCCATCTGGGTCACATCCTCTTCCTGCTTTTGCTCCCAGTGGCTGCAGCTCAGAC
 98



Hs_HCST-F
GATCCATCTGGGTCACATCCTC (SEQ ID NO: 71)
66.8
22
GACTCCAGGAGAGAGATCATCACTCCCTGCCTTTTACCCTG (SEQ ID NO:




Hs_HCST-R
CAGGGTAAAAGGCAGGGAGTG (SEQ ID NO: 72)
66.7
21
198)






Hs_HGF
Hs_HGF-Probe
TGTTCCCTTGTAGCTGCGTCCTTTACCA (SEQ ID NO: 73)
74.4
28
GCCATGAATTTGACCTCTATGAAAACAAAGACTACATTAGAAACTGCATCATTGGTA
114



Hs_HGF-F
GCCATGAATTTGACCTCTATGAAAAC (SEQ ID NO: 74)
66.2
26
AAGGACGCAGCTACAAGGGAACAGTATCTATCACTAAGAGTGGCATCAAATGTCAGC




Hs_HGF-R
GCTGACATTTGATGCCACTCTTAG (SEQ ID NO: 75)
65.7
24
(SEQ ID NO: 199)






Hs_HLX
Hs_HLX-Probe
CCTTCGTGAGCACAGCATAGGGACCT (SEQ ID NO: 76)
74.3
26
CAGTTCAGCATCAGTTCCAAGACACGTTTCCAGGTCCCTATGCTGTGCTCACGAAGG
 79



Hs_HLX-F
CAGTTCAGCATCAGTTCCAAGAC (SEQ ID NO: 77)
64.9
23
ACACCATGCCGCAGACGTACAA (SEQ ID NO: 200)




Hs_HLX-R
TTGTAGTCTGCGGCATGG (SEQ ID NO: 78)
68.2
19







Hs_HOMER3
Hs_HOMER3-Probe
TCGCCCACGGAGCCCTCAGACAA (SEQ ID NO: 79)
79.3
23
AAACTGTTCCGCAGCCAGAGCGCTGATGCCCCCGGCCCCACAGAGCGCGAGCGGCTA
110



Hs_HOMER3-F
AAACTGTTCCGCAGCCAGAG (SEQ ID NO: 80)
66.6
20
AAGAAGATGTTGTCTGAGGGCTCCGTGGGCGAGGTACAGTGGGAGGCCGAGTT




Hs_HOMER3-R
AACTCGGCCTCCCACTGTAC (SEQ ID NO: 81)
65.3
20
(SEQ ID NO: 201)






Hs_IL2RG
Hs_IL2RG-Probe
TCAGCCAGTCCCTTAGACACACCACT (SEQ ID NO: 82)
71.5
26
CCTAGAGGATCTTGTTACTGAATACCACGGGAACTTTTCGGCCTGGAGTGGTGTGTC
104



Hs_IL2RG-F
CCTAGAGGATCTTGTTACTGAATACC (SEQ ID NO: 83)
61.1
26
TAAGGGACTGGCTGAGAGTCTGCAGCCAGACTACAGTGAACGACTCT (SEQ ID




Hs_IL2RG-R
AGAGTCGTTCACTGTAGTCTGG (SEQ ID NO: 84)
60.0
22
NO: 202)






Hs_IL3RA
Hs_IL3RA-Probe
TTGCCCGCCTCCCAGACCACCA (SEQ ID NO: 85)
65.1
22
CCCGCATCCCTCACATGAAAGACCCCATCGGTGACAGCTTCCAAAACGACAAGCTGG 
104



Hs_IL3RA-F
CCCGCATCCCTCACATGAAAG (SEQ ID NO: 86)
70.7
21
TGGTCTGGGAGGCGGGCAAAGCCGGCCTGGAGGAGTGTCTGGTGACT (SEQ ID




Hs_IL3RA-R
AGTCACCAGACACTCCTCCAG (SEQ ID NO: 87)
63.4
21
NO: 203)






Hs_ITGB2
Hs_ITGB2-Probe
TCTGATCCACCTGAGCGACCTCCGG (SEQ ID NO: 88)
78.4
25
TCCTGCTGGTCATCTGGAAGGCTCTGATCCACCTGAGCGACCTCCGGGAGTACAGGC
150



Hs_ITGB2-F
TCCTGCTGGTCATCTGGAAGG (SEQ ID NO: 89)
68.7
21
GCTTTGAGAAGGAGAAGCTCAAGTCCCAGTGGAACAATGATAATCCCCTTTTCAAGA




Hs_ITGB2-R
CAGCAAACTTGGGGTTCATGAC (SEQ ID NO: 90)
67.5
22
GCGCCACCACGACGGTCATGAACCCCAAGTTTGCTG (SEQ ID NO: 204)






Hs_LGALS1
Hs_LGALS1-Probe
TTCGTATCCATCTGGCAGCTTGACGGTCA (SEQ ID NO: 91)
78.5
29
GCGGGAGGCTGTCTTTCCCTTCCAGCCTGGAAGTGTTGCAGAGGTGTGCATCACCTT
127



Hs_LGALS1-F
GCGGGAGGCTGTCTTTCC (SEQ ID NO: 92)
67.2
18
CGACCAGGCCAACCTGACCGTCAAGCTGCCAGATGGATACGAATTCAAGTTCCCCAA




Hs_LGALS1-R
CAGGTTGAGGCGGTTGGG (SEQ ID NO: 93)
69.0
18
CCGCCTCAACCTG (SEQ ID NO: 205)






Hs_LPXN
Hs_LPXN-Probe
TGCCAGCATCTGCTCTCACTGCAACC (SEQ ID NO: 94)
77.6
26
TGAAGCCCAAGAGCCAAAGGAATCACCACCACCTTCTAAAACGTCAGCAGCTGCTCA
150



Hs_LPXN-F
TGAAGCCCAAGAGCCAAAGG (SEQ ID NO: 95)
68.5
20
GTTGGATGAGCTCATGGCTCACCTGACTGAGATGCAGGCCAAGGTTGCAGTGAGAGC




Hs_LPXN-R
TCCTGCTTGTCTGGTAAGTGC (SEQ ID NO: 96)
64.2
21
AGATGCTGGCAAGAAGCACTTACCAGACAAGCAGGA (SEQ ID NO: 206)






Hs_LRG1
Hs_LRG1-Probe
AGACCTTGCCACCTGACCTCCTGAG (SEQ ID NO: 97)
73.3
25
CCTTGACCTTGGGGAGAACCAGTTGGAGACCTTGCCACCTGACCTCCTGAGGGGTCC
 85



Hs_LRG1-F
CCTTGACCTTGGGGAGAACC (SEQ ID NO: 98)
66.8
20
GCTGCAATTAGAACGGCTACATCTAGAA (SEQ ID NO: 207)




Hs_LRG1-R
TTCTAGATGTAGCCGTTCTAATTGC (SEQ ID NO: 99)
63.2
25







Hs_LY86
Hs_LY86-Probe
CTATCCCATCTGTGAGGCGGCTCTGC (SEQ ID NO: 100)
76.4
26
ATGTCTCAAGGCTCATCTGTTTTGAATTTCTCCTATCCCATCTGTGAGGCGGCTCTG
118



Hs_LY86-F
ATGTCTCAAGGCTCATCTGTTTTG (SEQ ID NO: 101)
65.3
24
CCCAAGTTTTCTTTCTGTGGAAGAAGGAAAGGAGAGCAGATTTACTATGCTGGGCCT




Hs_LY86-R
TGACAGGCCCAGCATAGTAAATC (SEQ ID NO: 102)
65.9
23
GTCA (SEQ ID NO: 208)






Hs_MGAT4A
Hs_MGAT4A-Probe
TTGGCTCCTGGACCATATTCTCTGGGT (SEQ ID NO: 103)
74.1
27
ATATTCATGTTTTACAAGGAGAAACCCATTGATTGGCTCCTGGACCATATTCTCTGG
116



Hs_MGAT4A-F
ATATTCATGTTTTACAAGGAGAAACCC (SEQ ID NO: 104)
63.8
27
GTGAAAGTCTGCAACCCTGAAAAAGATGCAAAACATTGTGATAGACAGAAAGCAAAT




Hs_MGAT4A-R
AGATTTGCTTTCTGTCTATCACAATG (SEQ ID NO: 105)
63.2
26
CT (SEQ ID NO: 209)






Hs_NCF4
Hs_NCF4-Probe
CGTTGACCGCATGGCAGCTCCGAG (SEQ ID NO: 106)
66.4
24
AGAGCGTGTCCCCACAGGGCAACAGCGTTGACCGCATGGCAGCTCCGAGAGCAGAGG
133



Hs_NCF4-F
AGAGCGTGTCCCCACAGG (SEQ ID NO: 107)
66.6
18
CTCTATTTGACTTCACTGGAAACAGCAAACTGGAGCTGAATTTCAAAGCTGGAGATG




Hs_NCF4-R
CGACTGAGGAGGAAGATCACATC (SEQ ID NO: 108)
66.1
23
TGATCTTCCTCCTCAGTCG (SEQ ID NO: 210)






Hs_NEK6
Hs_NEK6-Probe
ACTGGTCAGCATGTGCATCTGCCCTG (SEQ ID NO: 109)
77.4
26
GGGGAGCACTACTCCGAGAAGTTACGAGAACTGGTCAGCATGTGCATCTGCCCTGAC
 87



Hs_NEK6-F
GGGGAGCACTACTCCGAGAAG (SEQ ID NO: 110)
66.2
21
CCCCACCAGAGACCTGACATCGGATACGTG (SEQ ID NO: 211)




Hs_NEK6-R
CACGTATCCGATGTCAGGTCTC (SEQ ID NO: 111)
25.6
22







Hs_P2RY5
Hs_P2RY5-Probe
ACGCTTACCATCGTAAAGGCACGTCCAATT (SEQ ID  
75.5
30
AGAGGTTATAATCTGAATCCCAAAGGAGACTGCAGCTGATGAAAGTGCTTCCAAACT
125




NO: 112)







Hs_P2RY5-F
AGAGGTTATAATCTGAATCCCAAAGG (SEQ ID NO: 113)
64.1
26
GAAAATTGGACGTGCCTTTACGATGGTAAGCGTTAACAGCTCCCACTGCTTCTATAA




Hs_P2RY5-R
TAAAGGAGTCATTATAGAAGCAGTGG (SEQ ID NO: 114)
62.4
26
TGACTCCTTTA (SEQ ID NO: 212)






Hs_PDE9A
Hs_PDE9A-Probe
TCCACCCAAGGCTCTGCGACTTCCAT (SEQ ID NO: 115)
78.0
26
GACTACAGCAACGAGGAGCACATGACCCTGCTGAAGATGATTTTGATAAAATGCTGT
142



Hs_PDE9A-F
GACTACAGCAACGAGGAGCAC (SEQ ID NO: 116)
63.9
21
GATATCTCTAACGAGGTCCGTCCAATGGAAGTCGCAGAGCCTTGGGTGGACTGTTTA




Hs_PDE9A-R
GGTCGCTCTGCATAAAATATTCCTC (SEQ ID NO: 117)
66.4
25
TTAGAGGAATATTTTATGCAGAGCGACC (SEQ ID NO: 213)






Hs_PDK1
Hs_PDK1-Probe
TCGTGTTGAGACCTCCCGCGCAGT (SEQ ID NO: 118)
78.2
24
ACATGTATTCAACTGCACCAAGACCTCGTGTTGAGACCTCCCGCGCAGTGCCTCTGG
 81



Hs_PDK1-F
ACATGTATTCAACTGCACCAAGAC (SEQ ID NO: 119)
63.8
24
CTGGTTTTGGTTATGGATTGCCCA (SEQ ID NO: 214)




Hs_PDK1-R
TGGGCAATCCATAACCAAAACC (SEQ ID NO: 120)
68.3
22







Hs_PRKCD
Hs_PRKCD-Probe
TTGCCGTAGGTCCCACTGTTGTCTTGC (SEQ ID NO: 121)
76.3
27
GATCAGACTCAGCCTCCTCAGAGCCTGTTGGGATATATCAGGGTTTCGAGAAGAAGA
125



Hs_PRKCD-F
GATCAGACTCAGCCTCCTCAGA (SEQ ID NO: 122)
64.9
22
CCGGAGTTGCTGGGGAGGACATGCAAGACAACAGTGGGACCTACGGCAAGATCTGGG




Hs_PRKCD-R
GCTGCTGCCCTCCCAGAT (SEQ ID NO: 123)
68.0
18
AGGGCAGCAGC (SEQ ID NO: 215)






Hs_PRSS21
Hs_PRSS21-Probe
AGACCCCTCCTGGCCGCTACTCTTTT (SEQ ID NO: 124)
74.2
26
TGGCCCAGAGTGGCATGTCCCAGCCAGACCCCTCCTGGCCGCTACTCTTTTTCCCTC
104



Hs_PRSS21-F
TGGCCCAGAGTGGCATGTC (SEQ ID NO: 125)
69.9
19
TTCTCTGGGCTCTCCCACTCCTGGGGCCGGTCTGAGCCTACCTGAGCC (SEQ ID




Hs_PRSS21-R
GGCTCAGGTAGGCTCAGACC (SEQ ID NO: 126)
65.2
20
NO: 216)






Hs_PTH2R
Hs_PTH2R-Probe
CCAGCACCTCGCATCAGCCAGAGTTG (SEQ ID NO: 127)
76.5
26
GGGTTTCCAGCAGCATTTGTTGCAGCATGGGCTGTGGCACGAGCAACTCTGGCTGAT
 96



Hs_PTH2R-F
GGGTTTCCAGCAGCATTTGTTG (SEQ ID NO: 128)
66.1
22
GCGAGGTGCTGGGAACTTAGTGCTGGAGACATCAAGTGG (SEQ ID NO: 217)




Hs_PTH2R-R
CCACTTGATGTCTCCAGCACTAAG (SEQ ID NO: 129)
68.1
24







Hs_RAB20
Hs_RAB20-Probe
ACATCTCCATCTGGGACACCGCAGGG (SEQ ID NO: 130)
78.6
26
GCCTTCTACCTGAAGCAGTGGCGCTCCTACAACATCTCCATCTGGGACACCGCAGGG
140



Hs_RAB20-F
GCCTTCTACCTGAAGCAGTGG (SEQ ID NO: 131)
65.0
21
CGGGAGCAGTTCCACGGCCTGGGCTCCATGTACTGCCGGGGGGCGGCCGCCATCATC




Hs_RAB20-R
TGCCGGTGATTCACATCATAGG (SEQ ID NO: 132)
68.8
22
CTCACCTATGATGTGAATCACCGGCA (SEQ ID NO: 218)






Hs_RABBA
Hs_RABBA-Probe
TTTTGACTCCCTGGTTGCTCCCCTGG (SEQ ID NO: 133)
77.1
26
GCCAACATCAATGTGGAAAATGCATTTTTCACTCTCGCCAGAGATATCAAAGCAAAA
140



Hs_RABBA-F
GCCAACATCAATGTGGAAAATGC (SEQ ID NO: 134)
69.0
23
ATGGACAAAAAATTGGAAGGCAACAGCCCCCAGGGGAGCAACCAGGGAGTCAAAATC




Hs_RABBA-R
CTGCTCCTCTTCTGCTGGTC (SEQ ID NO: 135)
64.3
20
ACACCGGACCAGCAGAAGAGGAGCAG (SEQ ID NO: 219)






Hs_RABIF
Hs_RABIF-Probe
CGCCGTCAGGATTGCTGCCGTCA (SEQ ID NO: 136)
64.9
23
AGGGACCGCTCTCTTCTCTCGCCGACAGCTTTTCCTTCCCTCCATGAGAAAGAAGCC
119



Hs_RABIF-F
AGGGACCGCTCTCTTCTCTC (SEQ ID NO: 137)
63.9
20
AGCTCTGTCTGACGGCAGCAATCCTGACGGCGATCTCCTCCAGGAACACTGGCTGGT




Hs_RABIF-R
CCTCAACCAGCCAGTGTTCC (SEQ ID NO: 138)
66.9
20
TGAGG (SEQ ID NO: 220)






Hs_RNASE2
Hs_RNASE2-Probe
AGTCTCCGCGCTGTAGCTCCTGTGA (SEQ ID NO: 139)
74.7
25
CCCTGAACCCCAGAACAACCAGCTGGATCAGTTCTCACAGGAGCTACAGCGCGGAGA
 91



Hs_RNASE2-F
CCCTGAACCCCAGAACAACC (SEQ ID NO: 140)
67.7
20
CTGGGAAACATGGTTCCAAAACTGTTCACTTCCC (SEQ ID NO: 221)




Hs_RNASE2-R
GGGAAGTGAACAGTTTTGGAACC (SEQ ID NO: 141)
66.5
23







Hs_SLC43A3
Hs_SLC43A3-Probe
CCTTGTCGGCTGTGGTGTCTCTGCTC (SEQ ID NO: 142)
76.3
26
AAGCTCTTTGGGCTGGTGATGGCCTTGTCGGCTGTGGTGTCTCTGCTCCAGTTCCCC
148



Hs_SLC43A3-F
AAGCTCTTTGGGCTGGTGATG (SEQ ID NO: 143)
67.5
21
ATCTTCACCCTCATCAAAGGCTCCCTTCAGAATGACCCATTTTACGTGAATGTGATG




Hs_SLC43A3-R
GGTGGAAGAATGTCAGAAGAATGG (SEQ ID NO: 144)
66.6
24
TTCATGCTTGCCATTCTTCTGACATTCTTCCACC (SEQ ID NO: 222)






Hs_SUGNR1
Hs_SUGNR1-Probe
AAGGACTCCCACAACGAACTCAATCCCA (SEQ ID NO: 145)
75.6
28
TACGACATGCTGGGGATCATGGCATGGAATGCAACTTGCAAAAACTGGCTGGCAGCA
150



Hs_SUGNR1-F
TACGACATGCTGGGGATCATG (SEQ ID NO: 146)
68.0
21
GAGGCTGCCCTGGAAAAGTACTACCTTTCCATTTTTTATGGGATTGAGTTCGTTGTG




Hs_SUGNR1-R
GTAGCCGTAAACAACAATGGTATTTC (SEQ ID NO: 147)
64.1
26
GGAGTCCTTGGAAATACCATTGTTGTTTACGGCTAC (SEQ ID NO: 223)






Hs_TIMP1
Hs_TIMP1-Probe
TGGTCCGTCCACAAGCAATGAGTGCC (SEQ ID NO: 148)
78.6
26
ACTGTTGGCTGTGAGGAATGCACAGTGTTTCCCTGTTTATCCATCCCCTGCAAATG
112



Hs_TIMP1-F
ACTGTTGGCTGTGAGGAATGC (SEQ ID NO: 149)
66.4
21
AGCAAACCCTCAAGCTGAGGGGCAGCTCCAGTGGCTGAACCGCCGGGCCAATGCCCT




Hs_TIMP1-R
CCTTTTCAGAGCCTTGGAGGAG (SEQ ID NO: 150)
67.2
22
(SEQ ID NO: 224)






Hs_TNF
Hs_TNF-Probe
CCCGAGTGACAAGCCTGTAGCCCAT (SEQ ID NO: 151)
75.1
25
CCAGGCAGTCAGATCATCTTCTCGAACCCCGAGTGACAAGCCTGTAGCCCATGTTGT
140



Hs_TNF-F
CCAGGCAGTCAGATCATCTTCTC (SEQ ID NO: 152)
66.2
23
AGCAAACCCTCAAGCTGAGGGGCAGCTCCAGTGGCTGAACCGCCGGGCCAATGCCCT




Hs_TNF-R
CTCTCAGCTCCACGCCATTG (SEQ ID NO: 153)
68.3
20
CCTGGCCAATGGCGTGGAGCTGAGAG (SEQ ID NO: 225)






Hs_TNFRSF4
Hs_TNFRSF4-Probe
CCTTGGCTGGGAAGCACACCCTGC (SEQ ID NO: 154)
78.5
24
CCTGCAAGCCCTGGACCAACTGCACCTTGGCTGGGAAGCACACCCTGCAGCCGGCCA
 78



Hs_TNFRSF4-F
CCTGCAAGCCCTGGACCA (SEQ ID NO: 155)
70.0
18
GCAATAGCTCGGACGCAATCT (SEQ ID NO: 226)




Hs_TNFRSF4-R
AGATTGCGTCCGAGCTATTGC (SEQ ID NO: 156)
67.4
21







Hs_TNFSF13
Hs_TNFSF13B-
TCTTCTGGACCCTGAACGGCACGCT (SEQ ID NO: 157)
77.6
25
ACCAGCTCCAGGAGAAGGCAACTCCAGTCAGAACAGCAGAAATAAGCGTGCCGTTCA
 97



Probe








Hs_TNFSF13B-F
ACCAGCTCCAGGAGAAGGC (SEQ ID NO: 158)
65.8
19
GGGTCCAGAAGAAACAGTCACTCAAGACTGCTTGCAACTG (SEQ ID NO: 227)




Hs_TNFSF13B-R
CAGTTGCAAGCAGTCTTGAGTG (SEQ ID NO: 159)
65.0
22







Hs_TXNL4B
Hs_TXNL4B-Probe
CTCCTTACTCGTCCACGCCGCCTCA (SEQ ID NO: 160)
77.8
25
TCCGAGAAGTGGTTGCTGACAGCCACAAAGTGAAAGGGAGTGAGGCGGCGTGGACGA
100



Hs_TXNL4B-F
TCCGAGAAGTGGTTGCTGAC (SEQ ID NO: 161)
65.4
20
GTAAGGAGTGACAGTGAGGATTCACATTTGGGTTATTTCAAGA (SEQ ID NO:




Hs_TXNL4B-R
TCTTGAAATAACCCAAATGTGAATCC (SEQ ID NO: 162)
66.3
26
228)






Hs_TYR0BP
Hs_TYR0BP-Probe
CGCTGTAGACATCCGACCTCTGACCC (SEQ ID NO: 163)
74.9
26
CTGAGACCGAGTCGCCTTATCAGGAGCTCCAGGGTCAGAGGTCGGATGTCTACAGCG
 80



Hs_TYR0BP-F
CTGAGACCGAGTCGCCTTATC (SEQ ID NO: 164)
65.0
21
ACCTCAACACACAGAGGCCGTAT (SEQ ID NO: 229)




Hs_TYR0BP-R
ATACGGCCTCTGTGTGTTGAG (SEQ ID NO: 165)
64.0
21







Hs_VNN1
Hs_VNN1-Probe
AGTACCGATAACAGCCATGCACTGTGC (SEQ ID NO: 166)
72.9
27
AGTGCTGTGATGATGGACAATTACATAGTACCGATAACAGCCATGCACTGTGCAAAG
 82



Hs_VNN1-F
AGTGCTGTGATGATGGACAATTAC (SEQ ID NO: 167)
63.8
24
CATGCCCTTCTGCACAGGAGAGCAA (SEQ ID NO: 230)




Hs_VNN1-R
TTGCTCTCCTGTGCAGAAGG (SEQ ID NO: 168)
65.6
20







Hs_WT1
Hs_WT1-Probe
TCTCACCAGTGTGCTTCCTGCTGTGC (SEQ ID NO: 169)
76.1
26
GTCGGCATCTGAGACCAGTGAGAAACGCCCCTTCATGTGTGCTTACCCAGGCTGCAA
149



Hs_WT1-F
GTCGGCATCTGAGACCAGTG (SEQ ID NO: 170)
66.0
20
TAAGAGATATTTTAAGCTGTCCCACTTACAGATGCACAGCAGGAAGCACACTGGTGA




Hs_WT1-R
GTTCACAGTCCTTGAAGTCACAC (SEQ ID NO: 171)
62.6
23
GAAACCATACCAGTGTGACTTCAAGGACTGTGAAC (SEQ ID NO: 231)






Hs_ZWINT
Hs_ZWINT-Probe
CCACTGGTTCTGGACTGCTCTGCGTT (SEQ ID NO: 172)
75.5
26
CCCAGAGGAAACGGACACAACTCCGGGAAGCCTTTGAGCAGCTCCAGGCCAAGAAAC
124



Hs_ZWINT-F
CCCAGAGGAAACGGACACAAC (SEQ ID NO: 173)
67.8
21
AAATGGCCATGGAGAAACGCAGAGCAGTCCAGAACCAGTGGCAGCTACAACAGGAGA




Hs_ZWINT-R
TGCAGATGCTTCTCCTGTTGTAG (SEQ ID NO: 174)
65.4
23
AGCATCTGCA (SEQ ID NO: 232)









For subsequent qPCR analysis, 121 genes that encode molecules in the following categories were selected from among the 217 genes identified in microarray experiments:


1) Those located on the cell membrane or in extracellular spaces,


2) cytokines, growth factors, transmembranous receptors, protein kinases, phosphatases, transcriptional regulation molecules, and/or signaling molecules, and


3) those involved in immune regulation, cell cycle, apoptosis, and/or cell adhesion.


The list includes 57 genes, the mRNA levels of which were significantly (P<0.05; according to Kruskal-Wallis, Wilcoxon-Mann-Whitney or Student's t-test) higher in LSCS than in HSCs. The columns in Table 2 indicates, in the order from the left column, Entrez Gene ID (Column A), HUGO Gene Symbol (Column B), localization (Column C), molecular function (Column D), biological process (Column E), P values from each statistical test (Columns F-H), ratio of median values of the mRNA levels (Column I), and the number of LSC samples showing a higher expression level than the mRNA levels for the HSC samples (Column J).


The present inventors previously reported that LSCS derived from bone marrow (BM) of AML patient origin and LSCS derived from BM of a mouse receiving transplantation of AML patient BM have similar transcription profiles (Nature Biotechnology, 2007, ibid). Based on this finding, the present inventors performed a comprehensive transcriptome analysis to compare LSCS and normal hematopoietic stem cells (HSCs), using two array platforms: Human Genome U133 plus 2.0 GeneChips (BM derived from 16 AML patients and BM derived from 5 AML transplantation recipient mice were compared with BM derived from 2 healthy donors and cord blood (CB) derived from 5 healthy donors) and Human Gene 1.0ST GeneChips (BM derived from 1 AML patient and BM derived from 5 AML transplantation recipient mice were compared with CB from 1 healthy donor and BM from 4). Since a previous study had revealed that AML stem cells are present exclusively in the CD34+CD38− fraction, >1.2×104 CD34+CD38− cells were recovered with a purity of >98% (FIG. 1). Using the same method, CD34+CD38− HSCs were also purified from normal BM and CB samples (FIG. 1). By intravenously injecting the aforementioned purified HSCs and LSCs to neonatal NOD/SCID/IL2rg KO mice, the onset of AML by LSCS and the lack of reconstitution of normal immunity were confirmed, and long-time transplantation and multi-lineage (T/B/bone marrow) differentiation of HSCs were confirmed (FIG. 1). Not the CD34+CD38+ cells or CD34− cells derived from the AML transplantation recipient mice, but the CD34+CD38− bone marrow cells caused leukemia in secondary recipients. These data suggest that the transplanted CD34+CD38− cells did not come from the HSCs, but retained the nature of the LSCS. To analyze the expression data set obtained, genes that exhibit a significantly higher (p value <0.01, percentage of false positivity <0.05) array signal in LSCS than in HSCs on both the two microarray platforms were extracted using RankProd (Bioinformatics 22, 2825, 2006) mounted on the Bioconductor package. A total of 217 gene candidates met the criteria (FIG. 5, Table 1); further, IL2R was added to make a total of 218 gene candidates.


Next, to demonstrate the expression levels of candidates for separating LSCS and HSCs, quantitative PCR (qPCR) was performed for each candidate gene using LSCS derived from BM of 5 AML patients and HSCs derived from BM of 4 (Table 3). Out of the 217 genes identified, 121 genes that encode molecules in the following categories were selected as candidates best suiting for the development of pharmaceuticals, and subjected to subsequent analysis. The three categories are as follows:


1) those located on the cell membrane or in extracellular spaces,


2) cytokines, growth factors, transmembranous receptors, protein kinases, phosphatases, transcriptional regulation molecules, and/or signaling molecules, and


3) those involved in immune regulation, cell cycle, apoptosis, and/or cell adhesion.


As shown in Table 2, the mRNA contents concerning 57 genes out of the 121 genes were statistically higher in LSCS than in HSCs. Of the 57 genes, 35 genes were identified as excellent LSC markers. The reason was that 1) the median expression levels of these genes were 5 times or higher in LSCS, and that 2) their mRNA contents were higher in all LSC samples tested than in each HSC population tested (FIG. 2).


To confirm the expression of these LSC-specific candidate molecules at the protein level, the quality of monoclonal antibodies and polyclonal antibodies that can be utilized for the 35 candidate molecules, respectively, was verified, and flow cytometric analysis was performed using antibodies proven to be effective and 32 AML patient samples. Through the flow cytometric analysis, the following aspects were examined in each candidate molecule: 1) localization (on cell surfaces or in cells), 2) frequency of positive cells, and 3) expression intensity. Out of the 57 candidate molecules thus assessed, FCGR2A(CD32), ITGB2(CD18), CD93, CD33, CD3D and TNF(TNFa) were found to have the most promising expression level/pattern for LSC-specific markers/targets. In particular, the expression of FCGR2A(CD32) exhibited a strong correlation with LSCS in a significant ratio of the AML patients tested, and this was selected for further functional analysis. In 9 of the 32 AML patients tested, the great majority (>80%) of AML stem cells expressed this antigen (FIG. 3). To confirm that the expression of CD32 correlates exclusively with the function, in vivo NOD/SCID/IL2rg KO transplantation assay was performed using purified LSCS derived from three patients with AML. When purified CD34+CD38−CD32+ and CD34+CD38−CD32− cells were transplanted to sub-lethally irradiated recipients, AML developed exclusively from the CD32+ fraction (FIG. 4). Because any LSC-targeting treatment is thought to be best used along with a commonly used chemotherapeutic agent that is effective in removing non-LSC AML cells, it is important to confirm that the target molecule is continuously expressed even after chemotherapy. Accordingly, the present inventors examined whether the expression of CD32 was maintained after chemotherapy, and confirmed the expression of CD32 in BM, spleens and peripheral blood (PB) of AML transplantation recipient mice after AraC treatment (FIG. 6). Also, CD32− expressing cells were found by immunofluorescent labeling in both the membrane region and central region of bone marrow (FIG. 4). This finding, in view of the previous report by the present inventors that chemotherapy-resistant LSCS are present in BM osteoblast niches, further supports CD32 as a candidate for LSC target therapy (Ishikawa F. et al. Nature Biotechnol 25:1315-1321, 2007 and PCT/JP2008/068892).


Next, the expression of CD32 in normal human HSCs was assessed. In the primary human CB CD34+CD38− population, the frequency of CD32+ cells was 9.8%+/−SD (FIG. 4A). When the expression of CD133 in this fraction was analyzed, CD32+ cells were detected exclusively in the CD34+CD38−CD133− fraction (FIG. 4a). It was found by heterologous transplantation assay that not the CD34+CD38−CD32+ fraction but the CD34+CD38−CD133+CD32− fraction contains HSCs (FIG. 4B). Furthermore, it was suggested by in vitro colony-forming cell (CFC) assay that not CD34+CD38−CD32+ cells but CD34+CD38−CD32− cells have the capability of producing bone marrow-series and erythrocyte-series hematopoietic colonies. The lack of the capability of in vivo long-term hematopoiesis reconstitution in CD32+ normal HSCs suggests the possibility that therapeutic agents targeting CD32 expression cells may help avoid important adverse reactions related to the normal hematopoietic and immune systems without affecting HSCs.


The present inventors first confirmed by neonatal NOD/SCID/IL2rg KO mouse transplantation assay that in AML patient samples lacking the expression of CD32 by LSCS, CD34+CD38− cells possess the LSC function (FIG. 1), and then examined the expression of ITGB2(CD18), CD93, (as well as CD25, CD132, OX41, and CD97), CD33, CD3D and TNFα by flow cytometry. Combination of the antigens CD32, ITGB2, CD93, 97 and 33 enabled good separation of LSCS from normal HSCs in 31 patients out of 47 patients.


The list of LSC-specific genes identified using the two sets of microarrays and quantitative PCR (Table 2) includes genes that are expressed preferentially in bone marrow progeny, but their expression is limited in HSCs. For example, FCGR2A, HCK and NCF4 are highly expressed in mature bone marrow cells and mediate the phagocytosis by immunoconjugates and subsequent superoxide production (Prot Natl Acad Sci USA, 97, 1725; 2000; J Exp Med 191, 669, 2000; Nat Cell Biol, 3, 679, 2001; J Biol Chem 279, 1415, 2004). Meanwhile, CD3D, which is a constituent of the CD3 conjugate, transmits in mature T lymphocytes a T cell receptor signal via the ITAM motif thereof. Therefore, at least a particular ratio of AMLs can develop via abnormal regulation of differentiation in the stem cell stage.


Another feature of the list is the involvement of genes expressed remarkably in cancer cells and leukemia cells. For example, CD33 is a well recognized immunological marker of AML cells, and serves as a target for antibody pharmaceuticals such as gemtuzumab ozogamicin (Leukemia 19: 176, 2005). Furthermore, CD97 has been reported to be accumulated in colorectal cancers that infiltrate lymphatic vessels (Am J Pathol 161, 1657, 2002). Overexpression of these molecules in LSCS suggests that a therapeutic method that targets these molecules may be effective not only on LSCS, but also on mature AML cells. It should be noted that gene products of BIK, HOMER3, WT1 (Genes Chromosomes Cancer 47, 8-20, 2008) and CLEC12A (encoding CLL-1) (Blood 110, 2659-2666, 2007) have been proposed as marker molecules for LSC/AML blasts, and this demonstrates that the findings of the present invention agree with available reports.


By analyzing the expression levels/patterns, the candidate genes were classified into the following sets:


1) a set of genes that encode molecules expressed in a significant ratio of LSCS at the RNA and protein levels, but expressed in only a small ratio of HSCs (or not expressed), and


2) a set of genes expressed at the protein level in LSCS and HSCs, but whose expression intensity as determined by flow cytometry allows separation of LSCS from HSCs.


The gene set 1 includes candidates that specifically target LSCS and do not affect HSCs, for example, promising candidates for the development of therapeutic agents such as antibody pharmaceuticals based on the lack of the aforementioned candidates in normal HSCs. The genes included in the gene set 2 (the most promising candidate is CD33) encode biomarkers having high applicability to ex vivo purging of LSCS for separating LSCS from HSCs and the like against the background of autologous transplantation of hematopoietic stem cells.


As shown in FIG. 7, it was found by identifying the location and the phase in cell cycle by imaging using an antibody against each marker (FCGR2A, AK5, DOK2, LRG1, BIK, IL2RA, WT1 and SUCNR1) and a stationary cell-specific marker, that these molecules are abundantly present in the endosteum (niches), where stem cells exhibiting anticancer agent resistance are present, and are expressed in leukemic stem cells while in the stationary phase of cell cycle. Therefore, targeting these individual marker molecules is thought to be largely contributory to overcoming recurrences of leukemia.


WT1 has been shown to be expressed in a wide variety of tumors, including leukemia. However, whether this molecule is expressed at the level of stem cells, which exhibit recurrences and anticancer agent resistance, has been unknown. The present inventors found that this molecule is expressed in leukemic stem cells that are present in niches and are in the stationary phase of cell cycle, and have shown that the molecule is of significance as a target molecule for killing leukemic stem cells, which have been unable to be killed by conventional chemotherapy and radiotherapy.


Also, peripheral blood was collected from 47 patients with AML in various stages, samples containing hematopoietic cells were prepared, and FCGR2A(CD32a), FCGR2B(CD32b), IL2RA(CD25), ITGB2(CD18) and CD93 positivity rates in leukemic stem cells contained in the samples were examined. The results are shown in Table 4.

















TABLE 4








Any








n
marker
CD32-a
CD32-b
CD25
CD18
CD93























AML M0
2
2
2
0
0
0
0


% marker positive

100.0
100.0
0.0
0.0
0.0
0.0


AML M1
7
4
0
2
2
3
0


% marker positive

57.1
0.0
28.6
28.6
42.9
0.0


AML M2
14
9
5
4
4
5
1


% marker positive

64.3
35.7
28.6
28.6
35.7
7.1


AML M4
4
4
3
1
1
2
1


% marker positive

100.0
75.0
25.0
25.0
50.0
25.0


Other AML
3
1
1
0
0
0
0


% marker positive

33.3
33.3
0.0
0.0
0.0
0.0


MDS/AML
17
11
3
6
9
0
1


% marker positive

64.7
17.6
35.3
52.9
0.0
5.9


All cases
47
31
14
13
16
10
3


% marker positive

66.0
29.8
27.7
34.0
21.3
6.4









From Table 4, it is seen that by combining 4 kinds of markers FCGR2A(CD32a), IL2RA(CD25), ITGB2(CD18) and CD93, leukemic stem cells can be distinguished at a high rate, and by combining pharmaceuticals that target these 4 kinds of genes, over 60% of leukemia cells can be exterminated.


INDUSTRIAL APPLICABILITY

By using a leukemic stem cell marker found in the present invention as a molecular target, a therapeutic agent that acts specifically on LSCS that are the source of onset or recurrence of AML can be provided. It is possible to specifically remove LSCS from bone marrow cells of a patient or a donor using a cell sorter such as FACS, with a leukemic stem cell marker found in the present invention as an index. This will increase effectiveness of purging for autologous or allogeneic bone marrow transplantation, and enable to significantly prevent recurrences or the initial onset of acute myeloid leukemia. Furthermore, the presence or absence of LSCS in a collected biological sample or in a living organism can be determined with a leukemic stem cell marker found in the present invention as an index, whereby recurrences or the initial onset of acute myeloid leukemia can also be predicted.


This application is based on a patent application No. 2009-072400 filed in Japan (filing date: Mar. 24, 2009), the contents of which are incorporated in full herein.

Claims
  • 1. A test method for predicting the initial onset or a recurrence of acute myeloid leukemia, comprising (1) a step of measuring the expression level of leukemic stem cell marker genes in a biological sample collected from a subject for a transcription product or translation product of the genes as an analyte, and(2) a step of comparing the expression levels obtained in the measuring step with a reference value; wherein the leukemic stem cell marker genes are FCGR2A and 1-217 genes selected from the group consisting of:
  • 2. The test method according to claim 1, wherein the leukemic stem cell marker genes comprises FCGR2A and 1-57 genes selected from the group consisting of:
  • 3. The test method according to claim 2, wherein the leukemic stem cell marker genes comprises FCGR2A and one or more genes selected from the group consisting of ITGB2, CD93, CD33, CD3D and TNF.
  • 4. The test method according to claim 2, wherein the leukemic stem cell marker genes comprises FCGR2A and one or more genes selected from the group consisting of IL2RA, ITGB2 and CD93.
  • 5. The test method according to claim 4, wherein the leukemic stem cell marker genes comprises FCGR2A, IL2RA, ITGB2 and CD93.
  • 6. The test method according to claim 2, wherein the leukemic stem cell marker genes comprises FCGR2A and one or more genes selected from the group consisting of AK5, DOK2, LRG1, BIK, IL2RA, WT1 and SUCNR1.
  • 7. The test method according to claim 2, wherein the leukemic stem cell marker genes comprises FCGR2A and 1-34 genes selected from the group consisting of:
Priority Claims (1)
Number Date Country Kind
2009-072400 Mar 2009 JP national
CROSS-REFERENCE TO RELATED APPLICATIONS

This patent application is a divisional of copending U.S. patent application Ser. No. 13/258,993, filed on Dec. 7, 2011, which is the U.S. national phase of International Patent Application No. PCT/JP2010/055131, filed Mar. 24, 2010, which claims the benefit of Japanese Patent Application No. 2009-072400, filed on Mar. 24, 2009, which are incorporated by reference in their entireties herein.

Divisions (1)
Number Date Country
Parent 13258993 Dec 2011 US
Child 14220842 US