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. 2022 Nov 24;13:1064874. doi: 10.3389/fimmu.2022.1064874

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Copyright © 2022 Huang, Yuan, Huang, Liao, Zhu, Wang, Li, Liang, Wu, Liu, Yu, Zheng, Guan, Zhan and Liu

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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Confirmation of the LATPS via stratification of patients based on specific demographic and clinical features. Time-dependent ROC curve analysis of the LATPS score and clinicopathological factors to assess the predictive capacity of the LATPS in the (A) training, (B) test, and (C) total cohorts. (D-F) Boxplot showing the relationships between the LATPS score and clinicopathologic factors for all patients with LUAD. (G-L) Kaplan–Meier curve analysis for patients of (G) age > 65, (H) age ≤ 65, (I) Male, (J) Female, (K) Stage I–II, (L) Stage III–IV in the LATPS-high and LATPS-low subgroups. LATPS, LUAD tumor microenvironment prognostic signature; LUAD, lung adenocarcinoma; ROC, receiver operating characteristic.