Identification of a Genomic Instability-Related Long Noncoding RNA Prognostic Model in Colorectal Cancer Based on Bioinformatic Analysis.

ABSTRACT:

Background

In recent years, a growing body of research has revealed that long noncoding RNAs (lncRNAs) participate in regulating genomic instability.

Materials and methods

We obtained RNA expression profiles, somatic mutation profiles, clinical information, and pathological features of colorectal cancer (CRC) from The Cancer Genome Atlas project. We divided the cohort into two groups based on mutation frequency and identified genomic instability-related lncRNAs (GI-lncRNAs) using R software. We further analyzed the function of identified GI-lncRNAs and established a prognostic model through Cox regression. Using the established prognostic model, we divided the cohort into the high- and low-risk groups and further verified the prognostic differences between the two groups as

SUBMITTER: Liang Y 

PROVIDER: S-EPMC9197617 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature