Evidence map›Paper›PMID 42656427›Full record

ArticleFrontiers in cellular and infection microbiology2026

A preliminary exploration of the mechanism of endometrial cancer development induced by intestinal flora diversity and its metabolites.

Yuer Sun, Juan Li, Jiayu Chen, Haochen Peng, Yawen Shao, Zhenzhen Wu

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 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

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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

6 authors.

Yuer Sun *First School of Clinical Medicine, Gansu University of Chinese Medicine, Lanzhou, Gansu, China.
Juan LiDepartment of Women's Health, Gansu Provincial Maternity and Child Health Hospital (Gansu Central Hospital), Lanzhou, Gansu, China.
Jiayu Chen *First School of Clinical Medicine, Gansu University of Chinese Medicine, Lanzhou, Gansu, China.
Haochen PengFirst School of Clinical Medicine, Gansu University of Chinese Medicine, Lanzhou, Gansu, China.
Yawen ShaoDepartment of Women's Health, Gansu Provincial Maternity and Child Health Hospital (Gansu Central Hospital), Lanzhou, Gansu, China.
Zhenzhen WuFirst School of Clinical Medicine, Gansu University of Chinese Medicine, Lanzhou, Gansu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Endometrial cancer (EC) is a highly prevalent gynecological malignancy increasingly affecting younger populations. While the gut microbiota significantly modulates tumor progression via organ-to-organ networks, the specific molecular mechanisms and microbial co-metabolites driving EC remain poorly understood. This study profiles gut microbiota alterations in EC patients to identify correlations between microbial lipid/bile acid metabolites and EC pathogenesis. Methods: A clinical cohort of 41 female participants (17 patients with histologically confirmed atypical endometrial hyperplasia or endometrioid adenocarcinoma, and 24 healthy controls) was prospectively enrolled. Fecal and serum samples underwent 16S rRNA gene sequencing (Illumina MiSeq) and LC-MS-based serum metabolomics, respectively. Spearman correlation analysis explored gut microbiota-metabolite associations. Results: The EC and control groups shared structural similarities, but the Conclusions: This study delineates distinct alterations in the gut microbiota and serum metabolomic profiles of EC patients, identifying

Indexed as

BacteriaEndometrial NeoplasmsGastrointestinal MicrobiomeAgedFecesFemaleHumansMetabolomeMetabolomicsMiddle AgedProspective StudiesRNA, Ribosomal, 16SRNA, Ribosomal, 16Sendometrial cancergut microbial ecosystemintestinal floraserum metabolitestumorigenesis

Identifiers

PMID42656427
PMCPMC13506488

What OpenQuestion holds

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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.