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. 2022 Dec 27;23:562. doi: 10.1186/s12859-022-05109-8

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© The Author(s) 2022

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. 4 — Establishment and evaluation of a nomogram. A Heatmap of the five genes between two risk groups and the correlations of the two risk groups and clinical parameters. B The relationships between risk score and clinical features. Univariate C and multivariate D Cox analyses to explore whether risk score was an independent factor in prognosis LUAD. E Nomogram based on risk score and Stage. F Calibration plots of the nomogram for predicting the probability of 1-, 3- and 5-year survival