Integrative analysis developing and validating potential candidate biomarkers for cancer stemness features of pan-renal cell carcinoma.
Fei LinZhi-Bin KeHang ChenWen-Cai ZhengRu-Nan DongHai CaiXiao-Dong LiYong WeiQing-Shui ZhengXue-Yi XueShao-Hao ChenNing XuPublished in: Cancer investigation (2023)
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 OS between high-risk and low-risk group was statistically significant (P < 0.05). The area under ROC curve for 1-years OS, 5-years OS and 10-years OS was 0.759, 0.712 and 0.918, respectively. The results of validation in TCGA cohort and ICGC cohort revealed the predictive capability of this signature. Further, we selected three genes and further validation showed that these three hub genes were potential hub biomarkers for pan-RCC stemness features.