Evidence map›Paper›PMID 41114121›Full record

ArticleWorld journal of gastrointestinal oncology2025

Gut microbiota and metabolite changes in metastatic colorectal cancer

Pan Deng, Hua Lin, Hu Zeng, Feng Guo

Abstract read
In one paragraph

Article in World journal of gastrointestinal oncology, 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

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Pan DengDepartment of General Surgery, Xiangya Changde Hospital, Changde 415009, Hunan Province, China.
Hua LinDepartment of General Surgery, Xiangya Changde Hospital, Changde 415009, Hunan Province, China.
Hu ZengDepartment of Hepatobiliary Surgery, The Sixth Affiliated Hospital of Jinan University, Dongguan 523560, Guangdong Province, China.
Feng GuoDepartment of Interventional Diagnosis and Treatment, The Central Hospital of Yongzhou, Yongzhou 425002, Hunan Province, China. search_gf@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDistant metastasis causes most colorectal cancer (CRC) deaths. Gut microbiota (GM) dysbiosis and altered metabolites drive metastasis progression, serving as potential diagnostic biomarkers.

aimTo investigate alterations in GM and metabolites between patients with non-metastatic and distant metastatic CRC.

methodsAccording to the inclusion criteria, fresh fecal samples were collected from 14 non-metastatic CRC patients and 15 distant metastatic CRC patients. We performed 16S rRNA sequencing to analyze the composition, diversity, and differential abundance of GM, along with predictive functional profiling of microbial communities. Additionally, all samples underwent liquid chromatography-mass spectrometry (LC-MS)-based untargeted metabolomic sequencing to identify metabolic changes and predict their biological functions.

resultsThe cohort comprised 16 non-metastatic CRC patients (designated as the S group) and 16 distant metastatic CRC patients (designated as the DZ group). Sequence analysis (16S rRNA) identified a total of 35016 operational taxonomic units (OTUs) across both groups (16886 OTUs in the S group; 16270 in the DZ group; 1860 shared between groups). Inter-group microbial diversity analysis revealed notable differences in the β-diversity group (

conclusionGM and microbial metabolites differ significantly between CRC patients with distant metastasis and those without metastasis. Metabolites involved in nucleic acid, alkaloid, and lipid metabolism pathways potentially contribute to distant metastasis in CRC.

Indexed as

16S rRNA sequencingColorectal cancerGut microbiotaLiquid chromatography-mass spectrometryUntargeted metabolomics

Identifiers

PMID41114121
PMCPMC12531764

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