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. 2021 Jul;9(13):1057. doi: 10.21037/atm-21-36

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2021 Annals of Translational Medicine. 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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The prognostic nomogram of lung adenocarcinoma (LUAD) patients based on The Cancer Genome Atlas (TCGA) cohort and NTU cohort data. (A) Generated prognostic nomogram combining IL6R expression (mRNA level) and other risk factors (including gender, age, and TNM stage) from TCGA cohort to predict the clinical outcome of LUAD patients; (B) generated prognostic nomogram that integrates IL6R expression (IHC staining) and other risk factors (including smoking status, gender, age, and TNM stage) from the NTU cohort to predict the clinical outcome of LUAD patients; (C,D) prognostic nomogram calibration curves for 3-year (C) and 5-year (D) survival rates. The gray line represents the ideal model, and the vertical line represents the 95% confidence interval; (E,F) prognostic nomogram calibration curves for 3-year (E) and 5-year (F) survival rates. The gray line represents the ideal model, and the vertical line represents the 95% confidence interval.