RNA‑seq analysis of predictive markers associated with glutamine metabolism in thyroid cancer.

ABSTRACT: The incidence of thyroid cancer (TC) increases year by year. It is necessary to construct a prognostic model for risk stratification and management of TC patients. Glutamine metabolism is essential for tumor progression and the tumor microenvironment. The present study aimed to develop a predictive model for TC using a glutamine metabolism gene set. Differentially expressed genes in cells with high glutamine metabolism levels from single cell RNA‑sequencing data were compared with genes differentially expressed between normal and TC tissues from The Cancer Genome Atlas Program data. Through Boruta feature selection methods and multivariate Cox regression, six crucial genes were identified for a risk‑scoring system to develop a prognostic model. The role of each gene was verified in TC cell

SUBMITTER: You Y 

PROVIDER: S-EPMC11980536 | biostudies-literature | 2025 Jun

REPOSITORIES: biostudies-literature