Abstract
Prostate cancer (PCa) is a leading cause of cancer-related mortality worldwide. Gleason score (GS) is one of the best predictors of PCa aggressiveness, but additional tumor biomarkers may improve its prognostic accuracy. We developed a gene expression signature of GS to enhance the prediction of PCa outcomes. Elastic net was used to construct a gene expression signature by contrasting GS 8-10 vs.
Original language | English |
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Pages (from-to) | 43035-43047 |
Number of pages | 13 |
Journal | Oncotarget |
Volume | 8 |
Issue number | 26 |
DOIs | |
Publication status | Published - 27 Jun 2017 |
Keywords
- gene expression
- Gleason score
- prostate cancer
- recurrence
- metastasis
- NEEDLE-BIOPSY COHORT
- GENOMIC CLASSIFIER
- BIOCHEMICAL RECURRENCE
- RISK STRATIFICATION
- METASTATIC-DISEASE
- PROGRESSION
- VALIDATION
- POPULATION
- CARCINOMA
- DEATH