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A pan-cancer analysis of the microbiome in metastatic cancer

Journal Article (2024)
Authors

Thomas W. Battaglia (Nederlands Kanker Instituut - Antoni van Leeuwenhoek ziekenhuis)

Iris L. Mimpen (Nederlands Kanker Instituut - Antoni van Leeuwenhoek ziekenhuis)

Joleen J.H. Traets (Nederlands Kanker Instituut - Antoni van Leeuwenhoek ziekenhuis)

Arne van Hoeck (Nederlands Kanker Instituut - Antoni van Leeuwenhoek ziekenhuis)

Laurien J. Zeverijn (Nederlands Kanker Instituut - Antoni van Leeuwenhoek ziekenhuis)

Birgit S. Geurts (Nederlands Kanker Instituut - Antoni van Leeuwenhoek ziekenhuis)

Gijs F. de Wit (Nederlands Kanker Instituut - Antoni van Leeuwenhoek ziekenhuis)

Joris L. Vos (Student TU Delft)

Lodewyk .F.A. Wessels (TU Delft - Pattern Recognition and Bioinformatics, Nederlands Kanker Instituut - Antoni van Leeuwenhoek ziekenhuis)

G.B. More authors (External organisation)

Research Group
Pattern Recognition and Bioinformatics
To reference this document use:
https://doi.org/10.1016/j.cell.2024.03.021
More Info
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Publication Year
2024
Language
English
Research Group
Pattern Recognition and Bioinformatics
Issue number
9
Volume number
187
Pages (from-to)
2324-2335.e19
DOI:
https://doi.org/10.1016/j.cell.2024.03.021
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Abstract

Microbial communities are resident to multiple niches of the human body and are important modulators of the host immune system and responses to anticancer therapies. Recent studies have shown that complex microbial communities are present within primary tumors. To investigate the presence and relevance of the microbiome in metastases, we integrated mapping and assembly-based metagenomics, genomics, transcriptomics, and clinical data of 4,160 metastatic tumor biopsies. We identified organ-specific tropisms of microbes, enrichments of anaerobic bacteria in hypoxic tumors, associations between microbial diversity and tumor-infiltrating neutrophils, and the association of Fusobacterium with resistance to immune checkpoint blockade (ICB) in lung cancer. Furthermore, longitudinal tumor sampling revealed temporal evolution of the microbial communities and identified bacteria depleted upon ICB. Together, we generated a pan-cancer resource of the metastatic tumor microbiome that may contribute to advancing treatment strategies.