Prognostic model based on m6A-associated lncRNAs in esophageal cancer.

ABSTRACT:

Background

This research aimed to build an m6A-associated lncRNA prognostic model of esophageal cancer that can be used to predict outcome in esophageal cancer patients.

Methods

RNA sequencing transcriptome data and clinical information about patients with esophageal cancer were obtained according to TCGA. Twenty-four m6A-associated genes were selected based on previous studies. m6A-associated lncRNAs were determined through Pearson correlation analysis. Three m6A-associated lncRNA prognostic signatures were built through analysis of the training set using univariate, LASSO, and multivariate Cox regression. To validate the stabilization of the risk signature, Kaplan-Meier and ROC curve analyses were performed on the testing and complete sets. The prognoses of EC patients wer

SUBMITTER: Wang W 

PROVIDER: S-EPMC9468245 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature