Evidence map›Paper›PMID 41992000›Full record

ReviewNature reviews. Cancer2026

Microbiota and immune-related adverse events in cancer immunotherapy.

Sarah M Schneider, Christopher Fan, Yinghong Wang, Robert R Jenq, Stephanie S Watowich

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Sarah M Schneider *Department of Immunology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID http://orcid.org/0000-0001-7027-7978
Christopher Fan *Division of Gastroenterology and Hepatology, Department of Medicine, Houston Methodist Hospital, Houston, TX, USA.
Yinghong WangDepartment of Gastroenterology, Hepatology and Nutrition, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. ywang59@mdanderson.org.
Robert R JenqDepartment of Hematology & Hematopoietic Cell Transplantation, City of Hope Comprehensive Cancer Center, Duarte, CA, USA. rjenq@coh.org.
Stephanie S WatowichDepartment of Immunology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. swatowic@mdanderson.org.ORCID http://orcid.org/0000-0003-1969-659X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In response to treatment with immune checkpoint inhibitors (ICIs), patients with cancer can develop immune-related adverse events (irAEs), which are off-target toxicities affecting non-tumour tissues. Development of an irAE can require cessation of ICI treatment and cause additional morbidities, unrelated to cancer. Although the mechanisms that drive irAEs remain largely unknown, thus limiting treatment strategies, emerging evidence implicates tissue microbiomes, particularly in the gastrointestinal tract, lung and skin, as potential mediators. Here we review evidence that supports roles for the microbiome in irAEs. We focus on ICI colitis, a common irAE that has strong association with the gut microbiome. We examine clinical and preclinical studies that shed light on the immune and microbial drivers of ICI colitis and discuss current experimental treatments. By summarizing recent findings, we aim to encourage research into therapies that reduce irAE risk and severity while preserving anti-tumour efficacy of ICI treatment.

Indexed as

ColitisGastrointestinal MicrobiomeImmune Checkpoint InhibitorsImmunotherapyMicrobiotaNeoplasmsAnimalsHumansImmune Checkpoint Inhibitors

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 OpenQuestion graph.