Integrative Analysis Developing and Validating Potential Candidate Biomarkers for Cancer Stemness Features of Pan-Renal Cell Carcinoma.

Abstract

In our study, 49 key genes significantly associated with renal cell carcinoma (RCC) stemness were obtained. Next, we developed a molecular prognostic signature associated with stemness features of pan-RCC. The difference in overall survival (OS) between the high- and low-risk groups was statistically significant (p < .05). The area under the receiver operating characteristic curve for 1-year OS, 5-year OS, and 10-year OS was 0.759, 0.712, and 0.918, respectively. The results of validation in The Cancer Genome Atlas cohort and International Cancer Genome Consortium cohort revealed the predictive capability of this signature. Furthermore, we selected three genes and further validation showed that these three hub genes were potential hub biomarkers for pan-RCC stemness features.

• Authors: Fei Lin, Zhi-Bin Ke, Hang Chen, Wen-Cai Zheng, Ru-Nan Dong, Hai Cai, Xiao-Dong Li, Yong Wei, Qing-Shui Zheng, Xue-Yi Xue, Shao-Hao Chen, Ning Xu
• Journal: Cancer investigation (Cancer Invest) Vol. 41 Issue 5 Pg. 495-511 (May 2023) ISSN: 1532-4192 [Electronic] England
• PMID: 37129517 (Publication Type: Journal Article)

Chemical References

• Biomarkers
• Biomarkers, Tumor

Topics

• Humans
• Carcinoma, Renal Cell (genetics)
• Biomarkers
• Prognosis
• Kidney Neoplasms (genetics)
• Biomarkers, Tumor (genetics, analysis)