Figure 1.RGC32 is overexpressed in ccRCC and correlated with clinicopathological features. (A) Data from TIMER2.0 and GEPIA revealed that the overexpression of RGC32 was detected in ccRCC; (B) We analyzed the relationship between RGC32 and clinical symptoms, and RGC32 was significant with Gender, Grade, T, M, N, and Stage stages; (C) We explored the predictive efficacy of RGC32 by the ROC curve.
