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• W2984649462 abstract "Kidney renal cell carcinoma (KIRC), which is the most common subtype of kidney cancer, has a poor prognosis and a high mortality rate. In this study, a multi-omics analysis is performed to build a multi-gene prognosis signature for KIRC. A combination of a DNA methylation analysis and a gene expression data analysis revealed 863 methylated differentially expressed genes (MDEGs). Seven MDEGs (BID, CCNF, DLX4, FAM72D, PYCR1, RUNX1, and TRIP13) were further screened using LASSO Cox regression and integrated into a prognostic risk score model. Then, KIRC patients were divided into high- and low-risk groups. A univariate cox regression analysis revealed a significant association between the high-risk group and a poor prognosis. The time-dependent receiver operating characteristic (ROC) curve shows that the risk group performs well in predicting overall survival. Furthermore, the risk group is contained in the best multivariate model that was obtained by a multivariate stepwise analysis, which further confirms that the risk group can be used as a potential prognostic biomarker. In addition, a nomogram was established for the best multivariate model and shown to perform well in predicting the survival of KIRC patients. In summary, a seven-MDEG signature is a powerful prognosis factor for KIRC patients and may provide useful suggestions for their personalized therapy." @default.
• W2984649462 created "2019-11-22" @default.
• W2984649462 creator A5042099636 @default.
• W2984649462 creator A5049396596 @default.
• W2984649462 creator A5069233732 @default.
• W2984649462 date "2019-11-14" @default.
• W2984649462 modified "2023-10-16" @default.
• W2984649462 title "A Gene Signature of Survival Prediction for Kidney Renal Cell Carcinoma by Multi-Omic Data Analysis" @default.
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• W2984649462 doi "https://doi.org/10.3390/ijms20225720" @default.
• W2984649462 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6888680" @default.
• W2984649462 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/31739630" @default.
• W2984649462 hasPublicationYear "2019" @default.
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