A Cuproptosis-Related Gene Model For Predicting the Prognosis of Clear Cell Renal Cell Carcinoma

• Published in: Frontiers in genetics Vol. 13; p. 905518
• Main Authors: Mei, Wangli, Liu, Xiang, Jia, Xuyang, Jin, Liang, Xin, Shiyong, Sun, Xianchao, Zhang, Jiaxin, Zhang, Bihui, Chen, Yilai, Che, Jianping, Ma, Weiguo, Ye, Lin
• Format: Journal Article
• Language: English
• Published: Frontiers Media S.A 11.08.2022
• Subjects: bioinformatics analysis; clear cell renal cell carcinoma (ccRCC); cuproptosis; Genetics; immune infiltration; prognostic signature
• ISSN: 1664-8021; 1664-8021
• DOI: 10.3389/fgene.2022.905518

Despite advances in its treatment, patients diagnosed with clear cell renal cell carcinoma (ccRCC) have a poor prognosis. The mechanism of cuproptosis has been found to differ from other mechanisms that regulate cell death, including apoptosis, iron poisoning, pyrophosphate poisoning, and necrosis. Cuproptosis is an essential component in the regulation of a wide variety of biological processes, such as cell wall remodeling and oxidative stress responses. However, cuproptosis-related genes’ expression in ccRCC patients and their association with the patient’s prognosis remain ambiguous. Evaluation of The Cancer Genome Atlas (TCGA) identified 11 genes associated with cuproptosis that were differently expressed in ccRCC and nearby nontumor tissue. To construct a multigene prognostic model, the prognostic value of 11 genes was assessed and quantified. A signature was constructed by least absolute shrinkage and selection operator (LASSO) Cox regression analysis, and this signature was used to separate ccRCC patients into different risk clusters, with low-risk patients having a much better prognosis. This five-gene signature, when combined with patients’ clinical characteristics, might serve as one independent predictor of overall survival (OS) in ccRCC patients. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis demonstrated that cuproptosis-related genes were enriched in patients with ccRCC. Then, quantitative real-time PCR (qPCR) was employed to verify these genes’ expression. Generally, research has indicated that cuproptosis-related genes are important in tumor immunity and can predict OS of ccRCC patients.