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. 2023 May 2;15:32. doi: 10.1186/s13073-023-01180-9

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© The Author(s) 2023

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. 3 — Associations of microbiome profiles reconstructed from colon adenocarcinoma (COAD) with tumour properties. a Heatmaps of the q values of the association and correlation between the first six principal components (PCs) of COAD microbiome profiles (PCs in rows, clinical properties in columns). b Boxplot of PC2 coordinates by consensus molecular subtypes (CMS), highlighting the particular behaviour of CMS1 microbiome profiles. c Heatmap analogous to a that links the first six microbiome PCs of COAD samples and immune cell infiltration (relative quantification by CIBERSORTx). d Kaplan–Meier analysis of disease-free survival on patients stratified by high or low values of PC4. CIMP, CpG methylation phenotype; MSI, microsatellite instability; BMI, body mass index; NK, natural killer. Number of samples analysed in brackets