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Microarray analysis identifies a death-from-cancer signature predicting therapy failure in patients with multiple types of cancer
Gennadi V. Glinsky, … , Olga Berezovska, Anna B. Glinskii
Gennadi V. Glinsky, … , Olga Berezovska, Anna B. Glinskii
Published June 1, 2005
Citation Information: J Clin Invest. 2005;115(6):1503-1521. https://doi.org/10.1172/JCI23412.
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Research Article Oncology

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

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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.

Authors

Gennadi V. Glinsky, Olga Berezovska, Anna B. Glinskii

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Figure 6

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Classification of prostate cancer patients into subgroups with distinct ...
Classification of prostate cancer patients into subgroups with distinct therapy outcome based on expression profile of the 11-gene MTTS/PNS signature. (A–C) Kaplan-Meier analysis of the probability that patients would remain disease-free among 79 prostate cancer patients constituting clinical outcome set 2, according to whether they had a good-prognosis or a poor-prognosis signature as defined by the expression profiles of the 11-gene MTTS/PNS signature. The patients’ stratification cutoff value of 0.4 was defined in the training set of 40 patients (19 poor prognosis and 21 good prognosis; A), validated in a test set of 39 patients (18 poor prognosis and 21 good prognosis; B) and confirmed in an entire cohort of 79 patients (C). (D) Kaplan-Meier survival curves for distinct subgroups of prostate cancer patients diagnosed with early-stage disease (stages 1C and 2A). (E) Kaplan-Meier survival curves for 79 prostate cancer patients stratified into distinct subgroups using a weighted survival predictor score algorithm. (F) Kaplan-Meier survival curves for 20 prostate cancer patients stratified into distinct subgroups using Q-RT-PCR assay of the 11-gene signature.

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ISSN: 0021-9738 (print), 1558-8238 (online)

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