A web-based calculator for predicting the prognosis of patients with sarcoma on the basis of antioxidant gene signatures.

ABSTRACT:

Background

Oxidative stress plays a critical role in tumorigenesis, tumor development, and resistance to therapy. A systematic analysis of the interactions between antioxidant gene expression and the prognosis of patients with sarcoma is lacking but urgently needed.

Methods

Gene expression and clinical data of patients with sarcoma were derived from The Cancer Genome Atlas Sarcoma (training cohort) and Gene Expression Omnibus (validation cohorts) databases. Least absolute shrinkage, selection operator regression, and Cox regression were used to develop prognostic signatures for overall survival (OS) and disease-free survival (DFS). Based on the signatures and clinical features, two nomograms for predicting 2-, 4-, and 6-year OS and DFS were established.

Results

On the

SUBMITTER: Quan K 

PROVIDER: S-EPMC8876918 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature