Fig. 5: Multi-classifier-based risk score predicts RFS in 204 patients with pRCC in the TCGA set. | Nature Communications

Fig. 5: Multi-classifier-based risk score predicts RFS in 204 patients with pRCC in the TCGA set.

From: A multi-classifier system integrated by clinico-histology-genomic analysis for predicting recurrence of papillary renal cell carcinoma

Fig. 5: Multi-classifier-based risk score predicts RFS in 204 patients with pRCC in the TCGA set.

A The heat map of 204 patients, which includes the multi-classifier-based risk score, established cluster-based molecular classifiers from TCGA, and clinical features. The cases are arranged according to the multi-classifier-based risk score. B The comparison between the multi-classifier-based risk score among patients according to whether their tumors had CIMP hypermethylation pattern using a scatter plot analyzed using two-sided unpaired Student’s t test. The blue, orange, and red dots in the scatter plot represent low-risk, high-risk, and ultra-high-risk patients as determined using the multi-classifier-based risk score, respectively. C The Kaplan–Meier analysis of RFS according to whether the tumors had CIMP pattern. Patients with CIMP-associated tumors (n = 6) had significantly shorter RFS compared to patients with non-CIMP-associated tumors (n = 198), including patients in the low-risk group (n = 102) and high-risk group (n = 96) according to the multi-classifier system. P values were calculated with the log-rank test. Source data are provided as a Source Data file.

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