Identifying the Predictive Role of Oxidative Stress Genes in the Prognosis of Glioma Patients

Abstract

Background Gliomas are primary aggressive brain tumors with poor prognoses. Oxidative stress plays a crucial role in the tumorigenesis and drug resistance of gliomas. The aim of the present study was to use integrated bioinformatics analyses to evaluate the prognostic value of oxidative stress-related genes (OSRGs) in glioma. Material/Methods Disease- and prognosis-associated OSRGs were identified using microarray and clinical data from the Chinese Glioma Genome Atlas database. Functional enrichment, gene-gene interaction, protein-protein interaction, and survival analyses were performed in screened OSRGs. The protein expression was validated by the Human Protein Atlas database. A risk score model was constructed and verified through Cox regression, receiver operating characteristic curve, principal component, and stratified analyses. The Cancer Genome Atlas (TCGA) database was used for external validation. A nomogram was constructed to facilitate the clinical application. Results Twenty-one disease-associated and 14 prognosis-associated OSRGs were identified. Enrichment analyses indicated that these signature OSRGs were involved in tumorigenesis and drug resistance of glioma. The risk score model demonstrated a significant difference in overall survival between the high- and low-risk groups. The area under the curve and hazard ratio (1.296) revealed the independent prognostic value of the model. The model exhibited good predictive efficacy in the TCGA cohort. A clinical nomogram was constructed to calculate survival rates in glioma patients at 1, 3, and 5 years. Conclusions Our comprehensive study indicated that OSRGs were valuable for prognosis prediction in glioma, which provides a novel insight into the relationship between oxidative stress and glioma and a potential therapeutic strategy for glioma patients.

The Risk Model Based on the Three Oxidative Stress-Related Genes Evaluates the Prognosis of LAC Patients

“…Acquisition of OSRGs. The OSRGs were searched on the online GSEA website (http://www.gsea-msigdb.org/gsea/ index.jsp) [12]. The input keywords included oxidative stress and the 32 gene sets related to oxidative stress.…”

Construction of Oxidative Stress-Related Genes Risk Model Predicts the Prognosis of Uterine Corpus Endometrial Cancer Patients

“…From The Cancer Genome Atlas (TCGA) website, we downloaded RNA-Seq data and clinicopathological information of 587 UCEC samples, containing 35 normal samples and 552 tumor samples ( , accessed on 10 July 2022). The OSRGs (n = 666) were obtained from the online GSEA website ( , accessed on 10 July 2022) [ 23 ]. A total of 548 patients with UCEC were included in the analysis after downloading the corresponding clinical and survival information from the TCGA cohort.…”

Identification of Key Gene and Pathways Associated with Oxidative Stress in Keloids

“…And the impaired autophagy was involved in IPF pathogenesis [9][10][11][12][13] . Fascinatingly, the prevailing literatures autophagy suggested that impaired autophagy/mitophagy was also involved in keloids [14][15][16][17] . Therefore, the oxidative stress may also play an important role in keloids, which still remains unclear.…”