An energy metabolism-based eight-gene signature correlates with the clinical outcome of esophagus carcinoma.

ABSTRACT:

Background

The essence of energy metabolism has spread to the field of esophageal cancer (ESC) cells. Herein, we tried to develop a prognostic prediction model for patients with ESC based on the expression profiles of energy metabolism associated genes.

Materials and methods

The overall survival (OS) predictive gene signature was developed, internally and externally validated based on ESC datasets including The Cancer Genome Atlas (TCGA), GSE54993 and GSE19417 datasets. Hub genes were identified in each energy metabolism related molecular subtypes by weighted gene correlation network analysis, and then enrolled for determination of prognostic genes. Univariate, LASSO and multivariate Cox regression analysis were applied to assess prognostic genes and build the prognostic gen

SUBMITTER: Zheng W 

PROVIDER: S-EPMC8015196 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature