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. 2021 Nov 3;35(4):564–576. doi: 10.1038/s41379-021-00953-0

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© The Author(s) 2021

Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 6 — Forest plots for multi-marker classification (Tc, TcPD1, Th, ThPD1, Treg, TregPD1) and single-marker classification (CD3, CD4, CD8, FOXP3, PD1) were generated for DFS (A) and OS (B). HRs, 95% CIs, and p values from likelihood ratio tests from univariate Cox proportional hazards models were calculated. In the multivariate analysis, the biomarkers were adjusted for clinical variables (T, N, age, sex, nodal count, positive nodes, differentiation, lymphovascular invasion) for DFS (C) and OS (D). Kaplan–Meier curves demonstrating univariate survival analysis for Treg levels in the immune hot-spot regions dichotomized on the median for DFS (E) and OS (F). Differences in Kaplan–Meier survival curves are presented as log-rank p value.