A novel gene signature related to oxidative stress predicts the prognosis in clear cell renal cell carcinoma

• Published in: PeerJ (San Francisco, CA) CA), 2023-02, Vol.11, p.e14784-e14784, Article e14784
• Main Authors: Ma, Sheng, Ge, Yue, Xiong, Zezhong, Wang, Yanan, Li, Le, Chao, Zheng, Li, Beining, Zhang, Junbiao, Ma, Siquan, Xiao, Jun, Liu, Bo, Wang, Zhihua
• Format: Article
• Language: English
• Subjects: Bioinformatics; Biomarker; Cancer; Carcinoma; Carcinoma, Renal cell; Carcinoma, Renal Cell - genetics; Cell Biology; Cell growth; Clear cell renal cell carcinoma; Clear cell-type renal cell carcinoma; Cluster analysis; Comparative analysis; Gene expression; Genes; Genetic aspects; Genomes; Genomics; Health aspects; Humans; Kidney cancer; Kidney Neoplasms - genetics; Medical Genetics; Medical prognosis; Metastases; Mutation; Oncology; Oxidants; Oxidative stress; Oxidative Stress - genetics; Plasmids; Prognosis; Therapeutic targets; Tumor cells; UCN; Urocortin; Urology
• ISSN: 2167-8359; 2167-8359
• DOI: 10.7717/peerj.14784

Clear cell renal cell carcinoma (ccRCC) is considered to be related to the worse prognosis, which might in part be attributed to the early recurrence and metastasis, compared with other type of kidney cancer. Oxidative stress refers to an imbalance between production of oxidants and antioxidant defense. Accumulative studies have indicated that oxidative stress genes contribute to the tumor invasion, metastasis and drug sensitivity. However, the biological functions of oxidative stress genes in ccRCC remain largely unknown. In this study, we identified 1,399 oxidative stress genes from GeneCards with a relevance score ≥7. Data for analysis were accessed from The Cancer Genome Atlas (TCGA) and the International Cancer Genome Consortium (ICGC) database, and were utilized as training set and validation set respectively. Univariate Cox analysis, least absolute shrinkage and selection operator (LASSO) Cox regression and multivariate Cox were employed to construct a prognostic signature in ccRCC. Finally, a prognostic signature including four different oxidative stress genes was constructed from 1,399 genes, and its predictive performance was verified through Kaplan-Meier survival analysis and the receiver operating characteristic (ROC) curve. Interestingly, we found that there was significant correlation between the expression of oxidative stress genes and the immune infiltration and the sensitivity of tumor cells to chemotherapeutics. Moreover, the highest hazard ratio gene urocortin ( ) was chosen for further study; some necessary vitro experiments proved that the could promote the ability of ccRCC proliferation and migration and contribute to the degree of oxidative stress. In conclusion, it was promising to predict the prognosis of ccRCC through the four oxidative stress genes signature. played oncogenic roles in ccRCC by influencing proliferation and oxidative stress pathway, which was expected to be the novel therapeutic target for ccRCC.