Identification and validation of a glycolysis-related gene signature for predicting metastasis and survival rate in patients with thyroid cancer.

ABSTRACT:

Background

Thyroid cancer (THCA) is one of the most commonly malignant endocrine tumors worldwide. This study aimed to explore new gene signatures to better predict the metastasis and survival rate of patients with THCA.

Methods

mRNA transcriptome date and clinical characteristics of THCA were obtained from the Cancer Genome Atlas (TCGA) database to identify the expression and prognostic implications of glycolysis-related genes. Gene Set Enrichment Analysis (GSEA) of differentiated expressed genes was performed, and relationship between genes and glycolysis was observed in the Cox proportional regression model. Using the cBioPortal, mutations were subsequently identified in model genes.

Results

A 3-gene (HSPA5, KIF20A and SDC2) signature based on glycoly

SUBMITTER: Wang B 

PROVIDER: S-EPMC10248573 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature