Differential Splicing of Skipped Exons Predicts Drug Response in Cancer Cell Lines.

ABSTRACT: Alternative splicing of pre-mRNA transcripts is an important regulatory mechanism that increases the diversity of gene products in eukaryotes. Various studies have linked specific transcript isoforms to altered drug response in cancer; however, few algorithms have incorporated splicing information into drug response prediction. In this study, we evaluated whether basal-level splicing information could be used to predict drug sensitivity by constructing doxorubicin-sensitivity classification models with splicing and expression data. We detailed splicing differences between sensitive and resistant cell lines by implementing quasi-binomial generalized linear modeling (QBGLM) and found altered inclusion of 277 skipped exons. We additionally conducted RNA-binding protein (RBP) binding motif enr

SUBMITTER: Simpson E 

PROVIDER: S-EPMC9402787 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature