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. 2021 Jun 3;11:11805. doi: 10.1038/s41598-021-91276-2

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© The Author(s) 2021

Open Access This 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/.

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(a) Orthogonal projection on latent structure discriminant analysis (OPLS-DA) scores plot shows the ability to discriminate three lung cancer types and healthy controls. (b) Box and whisker plots for the top 5 most important metabolites between healthy control and different lung cancer types. (c)-(e) Receiver-operating characteristic (ROC) curves for discriminating lung cancer types, where class 0 represents healthy controls, class 1 represents adenocarcinomas, class 2 represents SCC lung cancer, and class 3 represents SCLC [(c) ROC curves of the logistic model using top 5 metabolomic markers; (d) ROC curves of the logistic model using top 10 metabolomic markers; (e) ROC curves of the logistic model using top 20 metabolomic markers].