Evidence map›Paper›PMID 41179285›Full record

ReviewOncology research2025

Immune Checkpoint Inhibitors in Gastrointestinal Cancers: Current Evidence and Future Directions.

Takeshi Toyozumi, Hideaki Shimada, Hisahiro Matsubara

Abstract readReview
In one paragraph

Review in Oncology research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

3 authors.

Takeshi ToyozumiDepartment of Frontier Surgery, Graduate School of Medicine, Chiba University, Chiba, 260-0856, Japan.
Hideaki ShimadaDepartment of Gastroenterological Surgery and Clinical Oncology, Toho University Graduate School of Medicine, Tokyo, 143-8541, Japan.
Hisahiro MatsubaraDepartment of Frontier Surgery, Graduate School of Medicine, Chiba University, Chiba, 260-0856, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer immunotherapy has long been established as an important treatment option for cancers. In particular, Immune Checkpoint Inhibitor (ICI) has been reported to be effective against various gastrointestinal cancers (esophageal cancer, gastric cancer, colorectal cancer); however, the treatment phase in which ICI should be used and how it should be incorporated into the treatment strategy vary depending on the cancer type being treated. Multiple clinical trials and basic research on ICIs are currently underway, and new insights from these results will continue to change the clinical treatment strategy of gastrointestinal cancers. While it is desirable to have an increasing number of treatment strategy options for gastrointestinal cancers, it is necessary to organize increasingly complex treatments and select more appropriate ICI-based treatments. In addition, as gastrointestinal cancers are being controlled through multidisciplinary treatment using ICI-based treatment, local control by conversion surgery is becoming an important treatment option. We may soon see an era in which gastrointestinal cancers can be systematically controlled with ICI-based treatment, while difficult-to-control lesions can be removed by conversion surgery. In this review, we summarize the evidence of ICI-based treatment for gastrointestinal cancers and provide an overview of the treatment strategies currently underway.

Indexed as

Gastrointestinal NeoplasmsImmune Checkpoint InhibitorsImmunotherapyClinical Trials as TopicHumansImmune Checkpoint Inhibitorsconversion surgerygastrointestinal tumorImmune checkpoint inhibitors

Identifiers

PMID41179285
PMCPMC12573163

What OpenQuestion holds

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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.