Comprehensive Characterization of Alternative Polyadenylation in Human Cancer.

ABSTRACT:

Background

Alternative polyadenylation (APA) is emerging as a major post-transcriptional mechanism for gene regulation, and dysregulation of APA contributes to several human diseases. However, the functional consequences of APA in human cancer are not fully understood. Particularly, there is no large-scale analysis in cancer cell lines.

Methods

We characterized the global APA profiles of 6398 patient samples across 17 cancer types from The Cancer Genome Atlas and 739 cancer cell lines from the Cancer Cell Line Encyclopedia. We built a linear regression model to explore the correlation between APA factors and APA events across different cancer types. We used Spearman correlation to assess the effects of APA events on drug sensitivity and the Wilcoxon rank-sum test or Cox prop

SUBMITTER: Xiang Y 

PROVIDER: S-EPMC6059203 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature