Evidence map›Paper›PMID 41356476›Full record

ArticleFrontiers in microbiology2025

Exploring the characteristics of gut microbiota in the development and progression of early-stage colorectal cancer based on metagenomic sequencing.

Qianqian Chen, Jing Guan, Lu Yang, Jie Lv, Gen Gui, Jianhua Xu, Zhaoyun Yang, Xu Wang, Bin Sun

Abstract read
In one paragraph

Article 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

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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

1 citing paper in PubMed.

  1. Article
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

9 authors.

Qianqian Chen *Department of Gastroenterology, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Hefei, Anhui, China.
Jing Guan *Department of Gastroenterology, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Hefei, Anhui, China.
Lu YangDepartment of Gastroenterology, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Hefei, Anhui, China.
Jie LvDepartment of Gastroenterology, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Hefei, Anhui, China.
Gen GuiDepartment of Gastroenterology, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Hefei, Anhui, China.
Jianhua XuDepartment of Gastroenterology, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Hefei, Anhui, China.
Zhaoyun YangDepartment of Gastroenterology, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Hefei, Anhui, China.
Xu WangDepartment of Gastroenterology, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Hefei, Anhui, China.
Bin SunDepartment of Gastroenterology, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Hefei, Anhui, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Colorectal cancer (CRC), a leading cause of cancer-related morbidity and mortality worldwide, often presents asymptomatically, resulting in late diagnosis. Accumulating evidence links gut microbiota dysbiosis to CRC initiation and progression. Objective: This study aimed to investigate the differences in gut microbiota composition and diversity among healthy controls (HC) and patients with colorectal lesions-including common colorectal polyps, small colorectal adenomas (SCRA), large colorectal adenomas (LCRA), and intramucosal carcinoma (IMC)-to identify bacterial species associated with disease progression and provide novel insights into the diagnosis and treatment of CRC based on the "polyp-adenoma-carcinoma" sequence. Methods: A total of 250 participants were recruited from the First Affiliated Hospital of Anhui Medical University between July 2023 and June 2024. The cohort included 30 HC, 52 with common colorectal polyps, 58 with SCRA, 56 with LCRA, and 54 with IMC. Fecal samples were collected for bacterial DNA extraction, followed by metagenomic sequencing to analyze microbial diversity. Differential microbiota analysis was performed using the R package microbiomeMarker and LEfSe. Group classification and feature identification were conducted using a random forest model. Functional profiling was performed using DIAMOND against the KEGG and MetaCyc databases. Results: No significant differences in Conclusion: Gut microbiota profiles varied significantly among HC, polyp, SCRA, LCRA, and IMC groups. Specific microbial signatures were able to effectively differentiate IMC from both HC and non-malignant colorectal lesions, highlighting their potential as diagnostic biomarkers.

Indexed as

colorectal adenomascolorectal cancergut microbiotaintramucosal carcinomapolyps

Identifiers

PMID41356476
PMCPMC12675245

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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.