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. 2021 May 24;19:219. doi: 10.1186/s12967-021-02889-0

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© The Author(s) 2021

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. 2 — A The circular bar plot displays the percentages and numbers of samples in four different metabolic subgroups across multiple cancer types. The cancers are also annotated with the physiology systems they belong to: ‘R’, Respiratory system; ‘U/G’, Urinary system and Genital system; ‘D’, Digestive system; ‘N’, Nervous system; ‘O’, Other systems. B The scatter plot showing the distribution of Glycolysis score (x-axis) and OXPHOS score (y-axis) in tumor patients. Here we took lung adenocarcinoma as an example to illustrate the rule for subgroup classification: patients were assigned to four metabolic subgroups according to the median value of the two scores. C The prognostic value of metabolic classification (LGHO vs HGLO) in each cancer type, shown in the forest plot with corresponding hazard ratio (HR, log-transformed) and 95% confident interval (95%CI, log-transformed). D Gene set enrichment analysis (GSEA) based on mass proteomic spectrum data for BRCA and OV indicated that the proteins in the Glycolysis signature were significantly enriched in HGLO group, while proteins in OXPHOS signature were enriched in LGHO group