Identification of 5 hub MDGs signature. (A-B) Venn graph of MDGs in gene methylation series (GSE61441, GSE105260, TCGA cohort) and differentially expressed genes in GSE105261. (C) Volcano plot of GSE105261 is drawn, where red dot represents significantly differential mRNA (|Fold Change| > 2, P < 0.05).

Identification of 5 hub MDGs signature. (A-B) Venn graph of MDGs in gene methylation series (GSE61441, GSE105260, TCGA cohort) and differentially expressed genes in GSE105261. (C) Volcano plot of GSE105261 is drawn, where red dot represents significantly differential mRNA (|Fold Change| > 2, P < 0.05).

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Background We aimed to identify methylation-driven genes (MDGs) and predict the prognosis of clear cell renal cell carcinoma (ccRCC) based on several cohorts with high-throughput data. Methods The transcriptome profiles, 450K methylated data and corresponding clinical information were extracted from the cancer genome atlas (TCGA) database. MethylMi...

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... observed that the classifications reached the best stable status with k = 5 in Fig. 5C. Kaplan-Meier analysis suggested that MDGcluster classifications correlated significantly with survival outcomes when k = 5, among which the MDGcluster4 (N = 35) has the best prognosis, and MDGcluster5 (N = 105) has the worst prognosis (Fig. 5D). Sankey diagram also illustrated the underlying associations among MDGcluster, risk score levels and vital outcomes (Fig. 5E). ...

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