Evidence map›Paper›PMID 41048488›Full record

ReviewFrontiers in microbiology2025

Faecalcrobiota metabolites: emerging insights into cancer radiotherapy outcomes.

Yuzhuo Gao, Baozhao Zeng, Zhicheng Wang, Shuo Liang, Yanming Yang

Abstract readReview
In one paragraph

Review in Frontiers in microbiology, 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. 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.

Yuzhuo Gao *Department of Radiotherapy, The Second Hospital of Jilin University, Changchun, China.
Baozhao Zeng *National Health Commission (NHC) Key laboratory of Radiobiology, School of Public Health, Jilin University, Changchun, China.
Zhicheng WangNational Health Commission (NHC) Key laboratory of Radiobiology, School of Public Health, Jilin University, Changchun, China.
Shuo LiangNational Health Commission (NHC) Key laboratory of Radiobiology, School of Public Health, Jilin University, Changchun, China.
Yanming YangDepartment of Radiotherapy, The Second Hospital of Jilin University, Changchun, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The connection between gut microbiota and the onset, progression, and management of cancer is receiving increasing attention. Gut microbiota metabolites serve as crucial mediators that influence the cancer process by modulating immune responses and metabolic pathways. Research has shown that these metabolites significantly affect cancer development, prognosis and therapy. For example, the effectiveness and side effects of radiotherapy are closely linked to the metabolites produced by gut microbiota. Radiotherapy can disrupt the balance of gut microbiota, increase intestinal permeability, and trigger inflammatory responses, all of which may lead to adverse reactions such as damage to the intestinal mucosa and a compromised anti-cancer effect. This review emphasizes the role of gut microbiota metabolites in tumor formation and progression by affecting signaling pathways and the tumor immune microenvironment. It explores how these metabolites can influence the efficacy and side effects of radiotherapy and discusses innovative cancer treatment strategies that leverage gut microbiota metabolites. By integrating recent preclinical and clinical findings, the review proposes that incorporating colony modulation therapies into cancer treatment could enhance therapeutic strategies and provide patients with safer and more effective options.

Indexed as

cancergut microbiotametabolitesradiation injuryradiotherapy

Identifiers

PMID41048488
PMCPMC12488674

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.