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. 2023 Jul 12;14:1199002. doi: 10.3389/fimmu.2023.1199002

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Copyright © 2023 Gong, Jiang, Xiong, Liu and Guan

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Identification of senescence-related subtypes in ccRCC. (A) CDF curve of TCGA cohort samples; (B) Delta area curve of consensus clustering for TCGA cohort samples, indicating the relative change in area under the cumulative distribution function (CDF) curve for each category number k compared with k-1. The horizontal axis represents the category number k, and the vertical axis represents the relative change in area under the CDF curve; (C) Sample clustering heatmap at consensus k=3; (D) KM curves of three subtypes for prognosis in TCGA cohort; (E) KM curves of three subtypes for prognosis in ICGC cohort; (F) PCA analysis based on senescence-related genes in TCGA dataset; (G) PCA analysis based on senescence-related genes in ICGC dataset.