Evidence map›Paper›PMID 40852612›Full record

ReviewFrontiers in pharmacology2025

The role and challenges of intratumoral microbiota in colorectal cancer immunotherapy.

Miao Hao, Haiming Xu, Min Li, Dan Jiao

Abstract readReview
In one paragraph

Review in Frontiers in pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Fusobacterium nucleatum, succinate signaling, and immunotherapy resistance in colorectal cancer: clinical relevance and translational opportunities.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    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

4 authors.

Miao Hao *Scientific Research Center, China-Japan Union Hospital of Jilin University, Changchun, China.
Haiming Xu *Department of Cardiology, China-Japan Union Hospital of Jilin University, Changchun, China.
Min LiDepartment of Respiratory and Critical Care Medicine, China-Japan Union Hospital of Jilin University, Changchun, China.
Dan JiaoDepartment of Ultrasound, China-Japan Union Hospital of Jilin University, Changchun, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer (CRC) is the third most common malignant tumor globally, and its development is closely related to interactions between the host and microbes. Recent studies have shown that the diversity of intratumoral microbiota significantly influences CRC progression and responses to immune therapy. This influence occurs through mechanisms such as immune microenvironment regulation, metabolic reprogramming, and epigenetic modifications. However, there is still a lack of systematic analysis regarding the diversity of intratumoral microbiota in CRC and its immune regulatory mechanisms, particularly in the metabolic and immune regulation. This article presents a systematic review of the compositional characteristics of intratumoral microbiota in CRC, the associated immune regulatory mechanisms, and their roles in chemotherapy and immunotherapy. It also discusses challenges like standardizing microbiome detection methods and the ethics of clinical translation, while proposing a strategy for integrating multi-omics using artificial intelligence. This article provides a theoretical basis for developing personalized treatment regimens that target the microbiota.

Indexed as

chemotherapycolorectal cancerimmunotherapyintratumoral microbiotatumor microenvironmenttumor therapy

Identifiers

PMID40852612
PMCPMC12367687

What OpenQuestion holds

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LicenceCC BY
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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.