Transcriptomic profiling identifies a nucleotide metabolism-related signature with prognostic power in gliomas.

ABSTRACT:

Objective

Nucleotide metabolic reprogramming as a hallmark of cancer is closely related to the occurrence and progression of cancer. We aimed to comprehensively analyze the nucleotide metabolism-related gene set and clinical significance in gliomas.

Methods

The RNA sequencing data of 702 gliomas from the Cancer Genome Atlas (TCGA) dataset were included as the training set, and the RNA sequencing data from the other three datasets (CGGA, GSE16011, and Rembrandt) were used as independent validation sets. Survival curve, Cox regression analysis, time-dependent ROC curve and nomogram model were performed to evaluate prognostic power of signature. R language was the main tool for bioinformatic analysis and graphical work.

Results

Based on the expression profiles of nucleot

SUBMITTER: Chen AQ 

PROVIDER: S-EPMC11362638 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature