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. 2022 Nov 9;12:1059253. doi: 10.3389/fonc.2022.1059253

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Copyright © 2022 Wang, Zhang, Du, Wu, Zhou, Chen and Zeng

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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Prognosis model construction. (A-B) The lasso regression analysis was used for data dimension reduction; (C) A prognosis signature consisting of characteristic molecules was constructed by multivariate cox regression analysis; (D) LUAD patients involved in TCGA cohort was divided into low-risk and high-risk groups based on the median cut-off; (E) The Kaplan-Meier curve was used to demonstrate the OS between low-risk and high-risk groups in TCGA cohort; (F) The time-dependent ROC curves reveals the 1-year predictive value of prognostic in TCGA cohort; (G) The time-dependent ROC curves reveals the 3-year predictive value of prognostic in TCGA cohort; (H) The time-dependent ROC curves reveals the 5-year predictive value of prognostic in TCGA cohort; (I) LUAD patients involved in GEO cohort was divided into low-risk and high-risk groups based on the median cut-off; (J) The Kaplan-Meier curve was used to demonstrate the OS between low-risk and high-risk groups in GEO cohort; (K) The time-dependent ROC curves reveals the 1-year predictive value of prognostic in GEO cohort; (L) The time-dependent ROC curves reveals the 3-year predictive value of prognostic in GEO cohort; (M) The time-dependent ROC curves reveals the 5-year predictive value of prognostic in GEO cohort;. *P < 0.05, **P < 0.01.