The landscape of microbial associations in human cancer

Oncomicrobes are estimated to cause 15% of cancers worldwide. When cancer whole-genome sequencing (WGS) data are collected, the microbes present are also sequenced, allowing the investigation of potential etiological and clinical associations. Interrogating the microbial community for 8908 patients encompassing 22 cancer types from the Genomics England WGS dataset revealed that only colorectal tumors exhibited unmistakably distinct microbial communities that can reliably be used to distinguish anatomical site [positive predictive value (PPV) = 0.95]. This pattern was validated in two independent datasets. Potential clinical relevance uncovered by our analyses included accurate detection of alphapapillomaviruses [human papillomavirus (HPV)] in oral cancers, when compared with current clinical standards, and the detection of rare, highly pathogenic viruses such as human T-lymphotropic virus-1. Biomarker investigations demonstrated statistically significant associations (<i>P</i> < 0.05) between a subset of anaerobic bacteria and survival in certain subtypes of sarcoma. Our results contradict previous claims that each cancer type has a distinct microbiological signature but highlight the potential value of microbial analysis for certain cancers as WGS of tumor samples becomes common in the clinic.

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Publication Details

Journal
Science Translational Medicine
Published
2025-09-03
DOI
https://doi.org/10.1126/scitranslmed.ads6166
Citations
6
Primary Topic
Viral-associated cancers and disorders
Type
article
Field-Weighted Citation Impact
6.27
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article

The landscape of microbial associations in human cancer

Liam Masterson, David C. Wedge, Rosalind A. Eeles, Andrew Schache et al.
6 citations
Science Translational Medicine
Viral-associated cancers and disorders
6.27
article

The landscape of microbial associations in human cancer

Liam Masterson, David C. Wedge, Rosalind A. Eeles, Andrew Schache, G. Maria Jakobsdottir, Solange De Noon, Henry M. Wood, Terence M. Jones, Abraham Gihawi, Tim R. Fenton, Justin O’Grady, Adrienne M. Flanagan, Gkikas Magiorkinis, J. W. Clark, Alex Rubinsteyn, Rachel Hurst, Daniel S. Brewer, Colin S. Cooper, Matt Lechner
article en
6 citations

Abstract

Oncomicrobes are estimated to cause 15% of cancers worldwide. When cancer whole-genome sequencing (WGS) data are collected, the microbes present are also sequenced, allowing the investigation of potential etiological and clinical associations. Interrogating the microbial community for 8908 patients encompassing 22 cancer types from the Genomics England WGS dataset revealed that only colorectal tumors exhibited unmistakably distinct microbial communities that can reliably be used to distinguish anatomical site [positive predictive value (PPV) = 0.95]. This pattern was validated in two independent datasets. Potential clinical relevance uncovered by our analyses included accurate detection of alphapapillomaviruses [human papillomavirus (HPV)] in oral cancers, when compared with current clinical standards, and the detection of rare, highly pathogenic viruses such as human T-lymphotropic virus-1. Biomarker investigations demonstrated statistically significant associations (<i>P</i> < 0.05) between a subset of anaerobic bacteria and survival in certain subtypes of sarcoma. Our results contradict previous claims that each cancer type has a distinct microbiological signature but highlight the potential value of microbial analysis for certain cancers as WGS of tumor samples becomes common in the clinic.

Science Translational MedicineVol. 17(814)
University of East Anglia (GB), University of North Carolina at Chapel Hill (US), University of Leeds (GB), Royal Marsden NHS Foundation Trust (GB), University of Liverpool (GB), National and Kapodistrian University of Athens (GR), Cambridge University Hospitals NHS Foundation Trust (GB), University of Manchester (GB), Quadram Institute (GB), Earlham Institute (GB), The Christie Hospital (GB), The Christie NHS Foundation Trust (GB), Oxford Nanopore Technologies (United Kingdom) (GB), NIHR Manchester Biomedical Research Centre (GB), University of Southampton (GB), University College London (GB)
Openalex Percentile: Top 3%
Viral-associated cancers and disorders
6.27
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