Evidence map›Paper›PMID 42252359›Full record

ReviewJournal of the Egyptian National Cancer Institute2026

Cholecystectomy-associated gut microbiota dysbiosis promotes colorectal carcinogenesis: from epidemiological controversy to FXR-centered mechanistic insights.

Zhongqin Huang

Abstract readReview
In one paragraph

Review in Journal of the Egyptian National Cancer Institute, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Zhongqin HuangPeople's Hospital of Qianxinan Prefecture, Xingyi City, Guizhou Province, China. 171076060@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectiveCholecystectomy is one of the most common surgeries worldwide, yet its association with colorectal cancer (CRC) risk remains controversial. Recent advances have linked gut microbiota and bile acid alterations to this risk. This review synthesizes epidemiological evidence and molecular mechanisms, focusing on the microbiota-bile acid-FXR signaling axis, and proposes a personalized prevention framework. Epidemiological data reveal consistent patterns: proximal colon cancer predominance, higher risk in women, and peak incidence 5-15 years post-surgery. Cholecystectomy induces gut microbiota dysbiosis (decreased Bifidobacterium breve, increased Ruminococcus gnavus) and bile acid disturbances (elevated TUDCA/GUDCA, altered protective bile acids), which converge on FXR signaling. CORE

findingsThe FXR signaling axis is a central hub. Yang et al. (Nat Commun 2025) showed that cholecystectomy-induced microbiota shifts alter bile acids, suppress FXR, disrupt FXR/β-catenin interaction, and promote tumorigenesis. The FXR agonist obeticholic acid prevents these effects preclinically, but systemic toxicity limits clinical use. CONCLUSION AND SIGNIFICANCE: We propose personalized risk stratification integrating demographics, microbial signatures, and metabolic biomarkers. Interventions include gut-restricted FXR agonists, probiotics, and Mediterranean diet. Future directions include prospective validation and dynamic network modeling.

Indexed as

CarcinogenesisCholecystectomyColorectal NeoplasmsDysbiosisGastrointestinal MicrobiomeReceptors, Cytoplasmic and NuclearAnimalsBile Acids and SaltsFemaleHumansReceptor, Farnesoid X-ActivatedSignal TransductionBile Acids and SaltsReceptor, Farnesoid X-ActivatedReceptors, Cytoplasmic and NuclearBile acidsCholecystectomyColorectal cancerFXRGut microbiotaPersonalized prevention

Identifiers

PMID42252359
PMCPMC13313302

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Registered trials

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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.