Systematic analysis of survival-associated alternative splicing signatures uncovers prognostic predictors for head and neck cancer.

摘要: Background Previous studies have shown that alternative splicing (AS) plays a key role in carcinogenesis and prognosis of cancer. However, systematic profiles AS signatures head neck cancer (HNC) not yet been reported. Methods In this study, data, RNA-Seq corresponding clinicopathological information 489 HNC patients were downloaded from The Cancer Genome Atlas. Univariate multivariate Cox regression analyses performed to screen for survival-associated events. Functional pathway enrichment analysis was also performed. prognostic models networks constructed using integrated bioinformatics tools. Results Among the 42,849 alternating events identified 10,121 genes, 5,165 2,419 genes observed univariate analysis. seven types, alternate terminator most powerful factors. Multivariate then used with value. Four candidate (TPM1, CLASRP, PRRC1, DNASE1L1) found be independent factors patients. A prediction model built based on four genes. area under receiver operating characteristic risk score curve predicting survival status 0.704. addition, interaction network indicated significant functions HNC. Conclusion comprehensive predictor established could.