ReviewAnnual review of immunology2026
Harnessing the Microbiome in Cancer Immunotherapy: Regulation, Prediction, and Therapeutic Targeting.
Review in Annual review of immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed.
- Safety and efficacy of fecal microbiota transplantation in solid cancers resistant to immune checkpoint inhibitors: results of the MITRIC trial.Journal for immunotherapy of cancer · 2026Trial
- Decoding the cancer microbiome: multi-omics, AI, and translational opportunities.Genome biology · 2026Review
- Microbiome-guided cancer immunotherapy: immune mechanisms, resistance pathways, and translational opportunities for precision oncology.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026Review
- Programming the tumor microenvironment through microbiome-driven mechanisms.Frontiers in cellular and infection microbiology · 2026Review
- The gut microbiome in colorectal cancer: molecular paradigms and translational frontiers.Frontiers in bioengineering and biotechnology · 2026Review
- Microbial metabolites and the gut-lung axis in non-small cell lung cancer immunotherapy: evidence boundaries and translational implications.Frontiers in medicine · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
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.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.