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Article

Optimizing molecular signatures for predicting prostate cancer recurrence

2 Apr 2009

Abstract excerpt

BACKGROUND: The derivation of molecular signatures indicative of disease status and predictive of subsequent behavior could facilitate the optimal choice of treatment for prostate cancer patients. METHODS: In this study, we conducted a computational analysis of gene expression profile data obtained from 79 cases, 39 of which were classified as having disease recurrence, to investigate whether advanced...

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PMID: 19343730
DOI: 10.1002/pros.20961

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