Developing a prognostic stratification model based on glutathione metabolism in thyroid cancer and validating RRM2's tumor-promoting role.

ABSTRACT:

Introduction

Glutathione (GSH), the most abundant antioxidant in cells, acts as free radical scavenger and detoxifying agent. Elevation of GSH metabolism protects tumor from damage of oxidant and even promotes tumor progression. However, the clinical value of GSH metabolism in thyroid cancer (THCA) remained largely unknown.

Methods

The expression and prognostic value of GSH metabolism-related enzymes were first investigated using a large The Cancer Genome Atlas (TCGA) cohort of 510 THCA patients. To expand the prognostic application, a risk stratification model based on these enzymes was developed using the LASSO Cox regression algorithm. Patients were categorized into high- and low-risk groups based on the median risk score, and the model's predictive performance for diseas

SUBMITTER: Ao W 

PROVIDER: S-EPMC12665606 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature