Harnessing the Microbiome in Cancer Immunotherapy: Regulation, Prediction, and Therapeutic Targeting

Humans are metaorganisms, composed of both host (human) cells and a roughly equal number of commensal microorganisms-collectively known as the microbiome-residing primarily at epithelial barrier surfaces. This review considers human cancer as a disease of the metaorganism, to which the microbiome contributes by influencing genome stability, tissue organization, inflammation, immunity, tumor initiation and promotion, metastasis formation, and therapeutic response. We summarize evidence demonstrating that machine learning models trained on patients' microbiome features moderately predict clinical response to immunotherapy and the development of immune-related adverse events. We review results from single-arm and randomized clinical trials wherein fecal microbiome transplantation from therapy-responsive patients or healthy donors, when combined with therapy targeting programmed cell death 1 (PD-1), improved outcomes in PD-1-refractory patients or served as an effective first-line intervention. We conclude by highlighting the emerging opportunities and ongoing challenges in leveraging the microbiome to enhance the efficacy and safety of cancer immunotherapy.

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Publication Details

Journal
Annual Review of Immunology
Published
2025-12-05
DOI
https://doi.org/10.1146/annurev-immunol-082323-114522
Primary Topic
Cancer Immunotherapy and Biomarkers
Type
article
Field-Weighted Citation Impact
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article

Harnessing the Microbiome in Cancer Immunotherapy: Regulation, Prediction, and Therapeutic Targeting

Hassane M. Zarour, Giorgio Trinchieri
Annual Review of Immunology
Cancer Immunotherapy and Biomarkers
article

Harnessing the Microbiome in Cancer Immunotherapy: Regulation, Prediction, and Therapeutic Targeting

Hassane M. Zarour, Giorgio Trinchieri
article en

Abstract

Humans are metaorganisms, composed of both host (human) cells and a roughly equal number of commensal microorganisms-collectively known as the microbiome-residing primarily at epithelial barrier surfaces. This review considers human cancer as a disease of the metaorganism, to which the microbiome contributes by influencing genome stability, tissue organization, inflammation, immunity, tumor initiation and promotion, metastasis formation, and therapeutic response. We summarize evidence demonstrating that machine learning models trained on patients' microbiome features moderately predict clinical response to immunotherapy and the development of immune-related adverse events. We review results from single-arm and randomized clinical trials wherein fecal microbiome transplantation from therapy-responsive patients or healthy donors, when combined with therapy targeting programmed cell death 1 (PD-1), improved outcomes in PD-1-refractory patients or served as an effective first-line intervention. We conclude by highlighting the emerging opportunities and ongoing challenges in leveraging the microbiome to enhance the efficacy and safety of cancer immunotherapy.

Annual Review of Immunology
UPMC Hillman Cancer Center (US), National Cancer Institute (US)
Openalex Percentile: Top 46%
Cancer Immunotherapy and Biomarkers
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Harnessing the Microbiome in Cancer Immunotherapy: Regulation, Prediction, and Therapeutic Targeting — Hassane M. Zarour, Giorgio Trinchieri · Annual Review of Immunology (2025) | TGRS Research Map | TGRS