Identification of a Nomogram with an Autophagy-Related Risk Signature for Survival Prediction in Patients with Glioma.

ABSTRACT:

Background

Glioma is a common type of tumor in the central nervous system characterized by high morbidity and mortality. Autophagy plays vital roles in the development and progression of glioma, and is involved in both normal physiological and various pathophysiological progresses.

Patients and methods

A total of 531 autophagy-related genes (ARGs) were obtained and 1738 glioma patients were collected from three public databases. We performed least absolute shrinkage and selection operator regression to identify the optimal prognosis-related genes and constructed an autophagy-related risk signature. The performance of the signature was validated by receiver operating characteristic analysis, survival analysis, clinic correlation analysis, and Cox regression. A nomogram model

SUBMITTER: Fu X 

PROVIDER: S-EPMC8857975 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature