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. 2022 Apr 14;20:120. doi: 10.1186/s12957-022-02555-9

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© The Author(s) 2022

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 4 — Construction and evaluation of a prognostic signature based on seven FRGs in the training cohort. A Univariate Cox analysis reveals 11 candidate prognosis-related FRGs. B The optimal penalty parameter (λ) at the vertical line is selected following the minimum criteria (left). C Lasso coefficient profiles of the 11 candidates prognosis-related FRGs. D Kaplan–Meier curve shows that the high-risk group had significantly shorter OS than the low-risk group. E ROC curve demonstrates the veracity and reliability of the signature. F Risk score distribution of TCGA-ccRCC patients. G The distributions of risk scores and the survival status. H The heatmap displays that the expression levels of the seven FRGs in the high- and low-risk groups