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. 2023 Mar 17;14:1107419. doi: 10.3389/fimmu.2023.1107419

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Copyright © 2023 Yin, Tian, Ji, Zheng, Zhu, Li and Zhang

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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Establishment and validation of the diagnostic signature based on CRGs in TCGA cohort. (A) LASSO regression to identify signature genes in ccRCC and normal samples. (B) SVM-REF regression to identify significant CRGs in ccRCC and normal samples. (C) Venn diagram based on the intersection of the two algorithms with 5 genes. (D) The IHC-P images of 5 CRGs in HPA database. (E) ROC curves of 5 signature genes for predicting diagnostic value in TCGA cohort.