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. 2022 Oct;11(10):2079–2093. doi: 10.21037/tlcr-22-660

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2022 Translational Lung Cancer Research. All rights reserved.

Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0.

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Establishment of a novel nomogram for predicting prognosis of LUAD patients. (A) ROC curve for the risk signature and several clinical characteristics at 1-year in the entire cohort. (B) Univariate and (C) multivariate analyses for the risk score using the Cox regression model. (D) A nomogram for predicting OS of LUAD patients constructed based on the entire cohort. (E) The calibration curves of the nomogram predicted 1-, 3-, and 5-year OS in the entire cohort. ***, P<0.001. AUC, area under the curve; LUAD, lung adenocarcinoma; ROC, receiver operating characteristic; OS, overall survival.