Prognostic significance of age related genes in patients with lower grade glioma
Haiwei Wang, Xinrui Wang, Liangpu Xu, Ji Zhang, Hua Cao
Abstract
To analyze the prognostic effects of age in different tumor types and determine the prognostic significance of age related genes in patients with lower grade glioma (LGG). Methods: The relationships between age and tumor overall survival were determined by Kaplan-Meier survival analysis using The Cancer Genome Atlas (TCGA) dataset. The age related genes were identified using TCGA RNA-seq data. Univariate and multivariate cox regression were used to determine the prognostic significance of age related genes. The results derived from TCGA dataset were further validated using Gene Expression Omnibus (GEO) and Chinese Glioma Genome Atlas (CGGA) datasets.
Topics & Concepts
TIMP1GliomaInternal medicineOncologyProportional hazards modelUnivariate analysisGeneMedicineSurvival analysisClinical significanceBiologyMultivariate analysisCancer researchGene expressionGeneticsGlioma Diagnosis and TreatmentRNA modifications and cancerCircular RNAs in diseases