Cited by 31Cancer Immunotherapy and BiomarkersGut microbiota and healthClostridium difficile and Clostridium perfringens research

Future indications and clinical management for fecal microbiota transplantation (FMT) in immuno-oncology

Jamal, Rahima, Messaoudene, Meriem, de Figuieredo, Marina, Routy, Bertrand·2023·Seminars in Immunology

Abstract

The gut microbiota has rapidly emerged as one of the "hallmarks of cancers" and a key contributor to cancer immunotherapy. Metagenomics profiling has established the link between microbiota compositions and immune checkpoint inhibitors response and toxicity, while murine experiments demonstrating the synergistic benefits of microbiota modification with immune checkpoint inhibitors (ICIs) pave a clear path for translation. Fecal microbiota transplantation (FMT) is one of the most effective treatments for patients with Clostridioides difficile, but its utility in other disease contexts has been limited. Nonetheless, promising data from the first trials combining FMT with ICIs have provided strong clinical rationale to pursue this strategy as a novel therapeutic avenue. In addition to the safety considerations surrounding new and emerging pathogens potentially transmissible by FMT, several other challenges must be overcome in order to validate the use of FMT as a therapeutic option in oncology. In this review, we will explore how the lessons learned from FMT in other specialties will help shape the design and development of FMT in the immuno-oncology arena.

Integrity signals

Registry

Crossref · 10.1016/j.smim.2023.101754

Cites

102 of 102 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Quality control and donor screening carry the risk of transmitting multi-drug-resistant organisms or other pathogens.

    “A related challenge concerns quality control and donor screening, with the risk of transmitting multi-drug–resistant organisms or other pathogens (Jamal et al., 2023; Zipkin, 2021).”

    From Microbiota-centered interventions to boost immune checkpoint blockade therapies (2025) · cites this paper as Jamal et al., 2023

Cites

Flagged first, then by citations

3 of the 105 references couldn’t be matched to a known paper.

Cited by

Sorted by citations

Authors
Jamal, R., Messaoudene, M., de Figuieredo, M., & Routy, B.
Affiliations
  • Centre Hospitalier de l’Université de Montréal (CA)
  • Université de Montréal (CA)
Corresponding author
Routy, Bertrand
Venue
Seminars in Immunology
Publisher
Elsevier BV
Published
2023-05
Volume
67
Pages
101754
ISSN
1044-5323 (ISSN-L)
OpenAlex
W4361256393
Cited by
31
References
105
Citations by year
2026: 12 · 2025: 9 · 2024: 7 · 2023: 3
FWCI
1.01
Type
journal article
Language
en
Open access
closed
Locations
  • Seminars in Immunology (publishedVersion)
  • PubMed (publishedVersion)
Funders
Canadian Institutes of Health Research
Topics
  • Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
  • Health Sciences › Medicine › Infectious Diseases › Clostridium difficile and Clostridium perfringens research
Keywords
fecal microbiota transplantation, gut microbiota, cancer immunotherapy, immune checkpoint inhibitors, immune checkpoint inhibitor toxicity, Clostridium difficile, emerging pathogens, metagenomics
MeSH terms
Fecal Microbiota Transplantation, Immune Checkpoint Inhibitors, Animals, Humans, Neoplasms, Treatment Outcome, Mice, Microbiota

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review