Mutation density analyses on long noncoding RNA reveal comparable patterns to protein-coding RNA and prognostic value.

ABSTRACT: Mutations and gene expression are the two most studied genomic features in cancer research. In the last decade, the combined advances in genomic technology and computational algorithms have broadened mutation research with the concept of mutation density and expanded the traditional scope of protein-coding RNA to noncoding RNAs. However, mutation density analysis had yet to be integrated with non-coding RNAs. In this study, we examined long non-coding RNA (lncRNA) mutation density patterns of 57 unique cancer types using 80 cancer cohorts. Our analysis revealed that lncRNAs exhibit mutation density patterns reminiscent to those of protein-coding mRNAs. These patterns include mutation peak and dip around transcription start sites of lncRNA. In many cohorts, these patterns justified statisti

SUBMITTER: Zhang T 

PROVIDER: S-EPMC10582829 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature