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PMID: 15931389 Published · ppublish English Journal Article Research Support, N.I.H., Extramural Research Support, U.S. Gov't, P.H.S.

Microarray analysis identifies a death-from-cancer signature predicting therapy failure in patients with multiple types of cancer.

The Journal of clinical investigation ·Vol. 115 ·No. 6 ·2005-06-00 ·Pages 1503-21

Glinsky GV, Berezovska O, Glinskii AB

Abstract

Activation in transformed cells of normal stem cells' self-renewal pathways might contribute to the survival life cycle of cancer stem cells and promote tumor progression. The BMI-1 oncogene-driven gene expression pathway is essential for the self-renewal of hematopoietic and neural stem cells. We applied a mouse/human comparative translational genomics approach to identify an 11-gene signature that consistently displays a stem cell-resembling expression profile in distant metastatic lesions as revealed by the analysis of metastases and primary tumors from a transgenic mouse model of prostate cancer and cancer patients. To further validate these results, we examined the prognostic power of the 11-gene signature in several independent therapy-outcome sets of clinical samples obtained from 1,153 cancer patients diagnosed with 11 different types of cancer, including 5 epithelial malignancies (prostate, breast, lung, ovarian, and bladder cancers) and 5 nonepithelial malignancies (lymphoma, mesothelioma, medulloblastoma, glioma, and acute myeloid leukemia). Kaplan-Meier analysis demonstrated that a stem cell-like expression profile of the 11-gene signature in primary tumors is a consistent powerful predictor of a short interval to disease recurrence, distant metastasis, and death after therapy in cancer patients diagnosed with 11 distinct types of cancer. These data suggest the presence of a conserved BMI-1-driven pathway, which is similarly engaged in both normal stem cells and a highly malignant subset of human cancers diagnosed in a wide range of organs and uniformly exhibiting a marked propensity toward metastatic dissemination as well as a high probability of unfavorable therapy outcome.

MeSH Terms
Animals Biomarkers, Tumor/genetics,metabolism Female Gene Expression Profiling Gene Expression Regulation, Neoplastic Humans Male Mice Mice, Transgenic Neoplasm Metastasis/genetics,pathology Neoplasm Recurrence, Local/genetics,metabolism,pathology Neoplasms/genetics,metabolism,pathology Neoplastic Stem Cells/metabolism,pathology Nuclear Proteins/genetics,metabolism Oligonucleotide Array Sequence Analysis Polycomb Repressive Complex 1 Prognosis Proto-Oncogene Proteins/genetics,metabolism Repressor Proteins/genetics,metabolism
Chemicals
Biomarkers, Tumor Bmi1 protein, mouse Nuclear Proteins Proto-Oncogene Proteins Repressor Proteins Polycomb Repressive Complex 1
Authors & Affiliations
3 authors, click to expand affiliations / ORCID
Glinsky Gennadi V
Sidney Kimmel Cancer Center, San Diego, California 92121, USA. gglinsky@skcc.org
Berezovska Olga
Glinskii Anna B
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Article Info
Journal
The Journal of clinical investigation
Abbr.
J Clin Invest
ISSN
0021-9738
Published
2005-06-00
Pages
1503-21
Language
English
Region
United States
NLM ID
7802877
PMCID
PMC1136989
Subset
IM
Grants
NCI NIH HHS · R01 CA089827 · United States
NCI NIH HHS · 5R01 CA89827 · United States
Corrections
CommentIn
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