A Newly Defined m7G-Related Gene Signature for Overall Survival Prognosis of Kidney Renal Clear Cell Carcinoma
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Abstract
Background: Kidney renal clear cell carcinoma (KIRC) is a highly malignant disease with unsatisfactory prognosis. In recent years, it has been reported that m7G methylation can regulate promoter sequence and induce gene expression or silencing so that affect tumor progression. However, the prognostic value of m7G-related genes in KIRC needs to be further clarified. Methods: In this paper, we downloaded the mRNA expression profile and corresponding clinical data of KIRC patients from the public database TCGA. The least absolute shrinkage and selection operator (LASSO) Cox regression model was utilized to construct a multigene signature in the TCGA cohort. A risk score model was established based on Kaplan-Meier and multivariate Cox regression analysis. Then, we performed functional enrichment analysis and immune infiltration analysis of differentially expressed genes between high-risk group and low-risk group. Result: 13 differentially expressed genes (DEGs) were found in normal and tumor tissues. Based on the median score calculated by the risk score formula from 29 m7G-related genes, 534 patients were divided into low-risk and high-risk subgroups, respectively. The survival probability of KIRC patients in the low-risk group was significantly better than that in the high-risk group(p 1, P< 0.01). Receiver operating characteristic (ROC) curve analysis confirmed the signature's predictive capacity. Functional analysis revealed that human immunodeficiency was enriched, and immune status were different between two risk groups. Conclusion: A new m7G-related gene biomarker can be used to predict the prognosis of KIRC, which may be a therapeutic option for KIRC patients.
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