Transcriptome analysis reveals a long non-coding RNA signature to improve biochemical recurrence prediction in prostate cancer.

ABSTRACT: Despite highly successful treatments for localized prostate cancer (PCa), prognostic biomarkers are needed to improve patient management and prognosis. Accumulating evidence suggests that long noncoding RNAs (lncRNAs) are key regulators with biological and clinical significance. By transcriptome analysis, we identified a set of consistently dysregulated lncRNAs in PCa across different datasets and revealed an eight-lncRNA signature that significantly associated with the biochemical recurrence (BCR)-free survival. Based on the signature, patients could be classified into high- and low-risk groups with significantly different survival (HR = 2.19; 95% CI = 1.67-2.88; P < 0.0001). Validations in the validation cohorts and another independent cohort confirmed its prognostic value for rec

SUBMITTER: Xu J 

PROVIDER: S-EPMC5982764 | biostudies-literature | 2018 May

REPOSITORIES: biostudies-literature