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. 2022 Jul 10;14(14):3358. doi: 10.3390/cancers14143358

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© 2022 by the authors.

Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

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Survival analysis for the GSE13507 (n = 165) dataset (training set). (A) Kaplan–Meier curves for the overall survival of BCa patients as stratified by the three-gene prognostic index. Patients were divided into low- and high-risk groups according to the median prognostic index. (B) Time-dependent ROC curves (one-, three-, five-, and ten-year predictions) to assess the prognostic accuracy of the three-gene prognostic model. (C) Forest plot for the multivariate Cox regression analysis on the GSE13507. The figure incorporates the hazard ratio value (e^coef) along with the 95% CI and p-value for each gene.

Survival analysis for the GSE13507 (n = 165) dataset (training set). (A) Kaplan–Meier curves for the overall survival of BCa patients as stratified by the three-gene prognostic index. Patients were divided into low- and high-risk groups according to the median prognostic index. (B) Time-dependent ROC curves (one-, three-, five-, and ten-year predictions) to assess the prognostic accuracy of the three-gene prognostic model. (C) Forest plot for the multivariate Cox regression analysis on the GSE13507. The figure incorporates the hazard ratio value (e^coef) along with the 95% CI and p-value for each gene.