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September 10, 2025Science Translational Medicine18 citations

The landscape of microbial associations in human cancer

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AGAbraham GihawiHWHenry M. WoodJCJ. W. Clark

Key Points

  • Distinct microbial communities were found in colorectal tumors, with a positive predictive value of 0.95.
  • The study included 8908 patients across 22 cancer types, aiming to investigate microbial associations.
  • Whole-genome sequencing data facilitated the detection of HPV in oral cancers, improving diagnostic accuracy over current methods.
  • The findings suggest a reevaluation of microbial signatures across cancer types, emphasizing its potential clinical implications.

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 ( P < 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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Cite This Study

Gihawi et al. (2025) studied this question.

synapsesocial.com/papers/68c189ca9b7b07f3a0612e08https://doi.org/10.1126/scitranslmed.ads6166
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