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. 2020 Aug 20;18:320. doi: 10.1186/s12967-020-02485-8

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© The Author(s) 2020

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 5 — The prognostic value of the combination of the 4-lnRNA signature and TNM stage in the 3 NSCLC cohorts. To improve the TNM staging system, the 4-lnRNA signature is combined with TNM stage to construct a new risk model for predicting survival in patients with NSCLC. According to the new risk score, patients were categorized into low-, medium-, and high-risk groups. Then Kaplan–Meier survival analysis was used to compare the OS and DFS of patients with low, medium, or high risk in a the discovery cohort, b the internal validation cohort, and c the independent validation cohort