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. 2024 Aug 29;15:1347770. doi: 10.3389/fimmu.2024.1347770

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Copyright © 2024 Ru, Cui, Wu, Tan, An, Wu, Ma, Hao, Xiao, Bai, Liu, Xia and Zhao

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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Identification of ARKGs related to prognosis in the TCGA training cohort. (A) The workflow of the present study. (B) Selection of optimal candidate genes in the LASSO model. (C) LASSO coefficients of prognosis-associated ARKGs. (D, E) Kaplan-Meier curves for overall survival (D) and progression free survival (E) of the TCGA-LUAD cohort in the HAS and LAS groups. (F) Forest plots showing results of multivariate Cox regression analysis between Risk score, clinical information and overall survival. (G-I) Kaplan-Meier curves for overall survival of validation cohorts in the high and low groups: GSE50081 (G), GSE30219 (H), GSE31210 (I).