Comprehensive investigation of alternative splicing and development of a prognostic risk score for prostate cancer based on six-gene signatures.

ABSTRACT: Purpose: To systematically document alternative splicing profiles of prostate cancer in relatively large populations in order to construct a prognostic predictors model for prostate cancer. Methods: Splicing data and clinical information of 495 prostate cancer patients were obtained from The Cancer Genome Atlas (TCGA). The SpliceSeq database was used to extract information regarding splicing events. Multiple bioinformatic tools were used for functional and pathway enrichment analysis as well as for construction of gene interaction networks. Candidate gene expression profiles were verified with clinical samples using QRT-PCR. Results: We detected a total of 44070 alternative splicing events of 10381 genes in prostate cancer. 7 and 14 KEGG pathways were enriched and were associated with over

SUBMITTER: Cao ZX 

PROVIDER: S-EPMC6775697 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature