Application of an Autophagy-Related Gene Prognostic Risk Model Based on TCGA Database in Cervical Cancer.

ABSTRACT: Background: Autophagy plays an important role in the development of cancer. However, the prognostic value of autophagy-related genes (ARGs) in cervical cancer (CC) is unclear. The purpose of this study is to construct a survival model for predicting the prognosis of CC patients based on ARG signature. Methods: ARGs were obtained from the Human Autophagy Database and Molecular Signatures Database. The expression profiles of ARGs and clinical data were downloaded from the TCGA database. Differential expression analysis of CC tissues and normal tissues was performed using R software to screen out ARGs with an aberrant expression. Univariate Cox, Lasso, and multivariate Cox regression analyses were used to construct a prognostic model which was validated by using the test set and

SUBMITTER: Shi H 

PROVIDER: S-EPMC7900625 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature