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JAM-C Identifies Src Family Kinase-Activated Leukemia-Initiating Cells and Predicts Poor Prognosis in Acute Myeloid Leukemia.
- Source :
-
Cancer research [Cancer Res] 2017 Dec 01; Vol. 77 (23), pp. 6627-6640. Date of Electronic Publication: 2017 Sep 28. - Publication Year :
- 2017
-
Abstract
- Acute myeloid leukemia (AML) originates from hematopoietic stem and progenitor cells that acquire somatic mutations, leading to disease and clonogenic evolution. AML is characterized by accumulation of immature myeloid cells in the bone marrow and phenotypic cellular heterogeneity reflective of normal hematopoietic differentiation. Here, we show that JAM-C expression defines a subset of leukemic cells endowed with leukemia-initiating cell activity (LIC). Stratification of de novo AML patients at diagnosis based on JAM-C-expressing cells frequencies in the blood served as an independent prognostic marker for disease outcome. Using publicly available leukemic stem cell (LSC) gene expression profiles and gene expression data generated from JAM-C-expressing leukemic cells, we defined a single cell core gene expression signature correlated to JAM-C expression that reveals LSC heterogeneity. Finally, we demonstrated that JAM-C controls Src family kinase (SFK) activation in LSC and that LIC with exacerbated SFK activation was uniquely found within the JAM-C-expressing LSC compartment. Cancer Res; 77(23); 6627-40. ©2017 AACR .<br /> (©2017 American Association for Cancer Research.)
- Subjects :
- ADP-ribosyl Cyclase 1 metabolism
Animals
Antigens, CD34 metabolism
Biomarkers, Tumor genetics
Cell Adhesion Molecules genetics
Cell Line, Tumor
Enzyme Activation
Female
Gene Expression Profiling
Humans
Interleukin-3 Receptor alpha Subunit metabolism
Membrane Glycoproteins metabolism
Mice
Mice, Inbred BALB C
Mice, Knockout
Neoplasm Transplantation
Neoplastic Stem Cells cytology
Transplantation, Heterologous
Biomarkers, Tumor metabolism
Cell Adhesion Molecules metabolism
Leukemia, Myeloid, Acute pathology
Neoplastic Stem Cells pathology
src-Family Kinases metabolism
Subjects
Details
- Language :
- English
- ISSN :
- 1538-7445
- Volume :
- 77
- Issue :
- 23
- Database :
- MEDLINE
- Journal :
- Cancer research
- Publication Type :
- Academic Journal
- Accession number :
- 28972073
- Full Text :
- https://doi.org/10.1158/0008-5472.CAN-17-1223