Background: Renal clear cell carcinoma is the main type of kidney cancer and its prognosis is poor. The role of cuproptosis as an emerging tumor treatment modality in renal clear cell carcinoma is still unclear. Therefore, it is urgent to discover new prognostic markers and the role of Cuproptosis in renal cancer.
Method: The source of cuproptosis-related genes was collected from the reported study from PubMed. RNA expression data and the clinical information of the corresponding patient were obtained from The Cancer Genome Atlas (TCGA) database. We randomly split the whole case into training and testing cohorts. We used three different regression analyses to confirm that lncRNAs with prognostic relevance of KIRC in the training cohort. The test cohort and the whole cohort were also included in the regression analysis to prove the accuracy of the model. eventually, a nomogram on account of clinical characteristics as well as risk scores was constructed to predict survival KIRC.
Result: 119 lncRNAs linked to overall survival were gained by univariate cox regression analysis. Furthermore, to further screen for prognosis-related lncRNAs and to optimize the signature, 119 genes were included in LASSO regression as well as multifactorial Cox regression analysis. A new prognostic predictive risk profile containing four lncRNA was produced. Kaplan-Meier (KM) curve showed that patients in the high-risk group showed poor survival in all three components. The area under the curves (AUCs) for 1 year calculated from the roc curve for the three components is 0.754, 0.698, and 0.743. 0.721 and 0. 753. Moreover, the nomogram allows the calculation of 1-, 3-, and 5-year survival rates for patients with renal clear cell carcinoma.
Conclusion: A new prognostic signature with four CRLs (MYG1-AS1, MELTF-AS1, AL161782.1, AC112220.2) have significant prognostic value for KIRC was conducted. It may provide a new therapeutic treatment for KIRC patients in the clinical.