Identifying glycolysis-related LncRNAs for predicting prognosis in breast cancer patients.

ABSTRACT:

Purpose

Functions associated with glycolysis could serve as targets or biomarkers for therapy cancer. Our purpose was to establish a prognostic model that could evaluate the importance of Glycolysis-related lncRNAs in breast cancer.

Methods

Gene expressions were evaluated for breast cancer through The Cancer Genome Atlas (TCGA) database, and we calculated Pearson correlations to discover potential related lncRNAs. Differentially expressed genes were identified via criteria of FDR < 0.05 and |FC|> 2. Total samples were separated into training and validating sets randomly. Univariate Cox regression identified 14 prognostic lncRNAs in training set. A prognostic model was constructed to evaluate the accuracy in predicting prognosis. The univariate and multivariate Cox analysis w

SUBMITTER: Zou J 

PROVIDER: S-EPMC9198763 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature