Development and Validation of a Nine-Redox-Related Long Noncoding RNA Signature in Renal Clear Cell Carcinoma

• Published in: Oxidative medicine and cellular longevity Vol. 2020; no. 2020; pp. 1 - 30
• Main Authors: Wang, Shao-Gang, Sun, Jian-Xuan, Liu, Chen-Qian, Lu, Jun-Lin, Yang, Xun, Qi-Dong, Xia, Li, Cong
• Format: Journal Article
• Language: English
• Published: Cairo, Egypt Hindawi Publishing Corporation 2020; Hindawi; John Wiley & Sons, Inc
• Subjects: Aged; Apoptosis; Biomarkers; Biomarkers, Tumor - metabolism; Calibration; Cancer therapies; Carcinoma, Renal Cell - metabolism; Carcinoma, Renal Cell - mortality; Cell Survival; Disease; Female; Gene Expression Profiling - methods; Gene Expression Regulation, Neoplastic; Genes; Genome, Human; Homeostasis; Humans; Kaplan-Meier Estimate; Kidney cancer; Kidney Neoplasms - metabolism; Kidney Neoplasms - mortality; Male; Medical prognosis; Metastasis; Middle Aged; Nomograms; Oxidation; Oxidation-Reduction; Prognosis; Regression Analysis; Risk; RNA, Long Noncoding - metabolism; ROC Curve; Survival analysis; Transcriptome; Treatment Outcome
• DOI: 10.1155/2020/6634247
• ISSN: 1942-0900; 1942-0994

Background. Redox plays an essential role in the pathogeneses and progression of tumors, which could be regulated by long noncoding RNA (lncRNA). We aimed to develop and verify a novel redox-related lncRNA-based prognostic signature for clear cell renal cell carcinoma (ccRCC). Materials and Methods. A total of 530 ccRCC patients from The Cancer Genome Atlas (TCGA) were included in this study. All the samples were randomly split into training and test group at a 1 : 1 ratio. Then, we screened differentially expressed redox-related lncRNAs and constructed a novel prognostic signature from the training group using the least absolute shrinkage and selection operation (LASSO) and COX regression. Next, to verify the accuracy of the signature, we conducted risk and survival analysis, as well as the construction of ROC curve, nomogram, and calibration curves in the training group, test group, and all samples. Finally, the redox gene-redox-related lncRNA interaction network was constructed, and gene set enrichment analysis (GSEA) was performed to investigate the status of redox-related functions between high/low-risk groups. Results. A nine-redox-related lncRNA signature consisted of AC025580.3, COLCA1, AC027601.2, DLEU2, AC004918.3, AP006621.2, AL031670.1, SPINT1-AS1, and LAMA5-AS1 was significantly associated with overall survival in ccRCC patients. The signature proved efficient, and thus, a nomogram was successfully assembled. In addition, the GSEA results demonstrated that two major redox-related functions were enhanced in the high-risk group ccRCC patients. Conclusions. Our findings robustly demonstrate that the nine-redox-related lncRNA signature could serve as an efficient prognostic indicator for ccRCC.