As a novel prognostic model for breast cancer, the identification and validation of telomere-related long noncoding RNA signatures.

ABSTRACT:

Background

Telomeres are a critical component of chromosome integrity and are essential to the development of cancer and cellular senescence. The regulation of breast cancer by telomere-associated lncRNAs is not fully known, though. The goals of this study were to describe predictive telomere-related LncRNAs (TRL) in breast cancer and look into any possible biological roles for these RNAs.

Methods

We obtained RNA-seq data, pertinent clinical data, and a list of telomere-associated genes from the cancer genome atlas and telomere gene database, respectively. We subjected differentially expressed TRLs to co-expression analysis and univariate Cox analysis to identify a prognostic TRL. Using LASSO regression analysis, we built a prognostic model with 14 TRLs. The accuracy of the

SUBMITTER: Zhao W 

PROVIDER: S-EPMC11389561 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature