Prognostic signature composed of transcription factors accurately predicts the prognosis of gastric cancer patients.

ABSTRACT:

Background

Transcription factors (TFs) are involved in important molecular biological processes of tumor cells and play an essential role in the occurrence and development of gastric cancer (GC).

Methods

Combined The Cancer Genome Atlas Program and Genotype-Tissue Expression database to extract the expression of TFs in GC, analyzed the differences, and weighted gene co-expression network analysis to extract TFs related to GC. The cohort including the training and validation cohort. Univariate Cox, least absolute contraction and selection operator (LASSO) regression, and multivariate Cox analysis was used for screening hub TFs to construct the prognostic signature in the training cohort. The Kaplan-Meier (K-M) and the receiver operating characteristic curve (ROC) was drawn to

SUBMITTER: Zhou L 

PROVIDER: S-EPMC8261954 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature