Prognostic score model based on six m6A-related autophagy genes for predicting survival in esophageal squamous cell carcinoma.

ABSTRACT:

Background

Prognostic signatures based on autophagy genes have been proposed for esophageal squamous cell carcinoma (ESCC). Autophagy genes are closely associated with m6A genes. Our purpose is to identify m6A-related autophagy genes in ESCC and develop a survival prediction model.

Methods

Differential expression analyses for m6A genes and autophagy genes were performed based on TCGA and HADd databases followed by constructing a co-expression network. Uni-variable Cox regression analysis was performed for m6A-related autophagy genes. Using the optimal combination of feature genes by LASSO Cox regression model, a prognostic score (PS) model was developed and subsequently validated in an independent dataset.

Results

The differential expression of 13 m6A genes and 107 au

SUBMITTER: Chen F 

PROVIDER: S-EPMC9279981 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature