Evidence map›Paper›PMID 40313460›Full record

ArticleFrontiers in cellular and infection microbiology2025

Comprehensive analysis of transcriptome and microbiome in colorectal cancer with synchronous polyp patients.

Yubin Wang, Yongfeng Liu, Xiaoqiang Liu, Pengwei Xu, Mingjie Luo, Anle Huang, Zhijun Su

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

7 authors.

Yubin Wang *Department of Gastroenterology, Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou, China.
Yongfeng Liu *Department of Scientific Research Cooperation GeneMind Biosciences Company Limited, Shenzhen, China.
Xiaoqiang LiuDepartment of Gastroenterology, Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou, China.
Pengwei XuDepartment of Scientific Research Cooperation GeneMind Biosciences Company Limited, Shenzhen, China.
Mingjie LuoDepartment of Scientific Research Cooperation GeneMind Biosciences Company Limited, Shenzhen, China.
Anle HuangDepartment of Gastrointestinal Oncology Surgery, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian, China.
Zhijun SuDepartment of Infectious disease, Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Colorectal cancer (CRC) is a prevalent and lethal malignancy, with the role of gut microbiota in its development still unclear. This study examines differences in gut microbiota between CRC patients and healthy controls and explores their association with host gene expression to identify potential diagnostic and therapeutic targets. Methods: Fecal samples from 10 CRC patients and 13 healthy controls were subjected to 16S rRNA sequencing. Transcriptome sequencing of tumor tissues, normal mucosa, and colorectal polyps from same 10 CRC patients was performed to identify differentially expressed genes (DEGs). Pearson correlation analysis was employed to associate operational taxonomic units (OTUs) with host gene expression. Results: β-diversity analysis showed significant differences in microbiota between CRC patients and controls (P < 0.01). LEfSe identified 38 distinct bacterial taxa, with genera such as Conclusion: This study underscores the significant alterations in gut microbiota associated with CRC and reveals novel correlations between specific microbes and host gene expression, offering potential diagnostic markers and therapeutic targets for CRC.

Indexed as

BacteriaColorectal NeoplasmsGastrointestinal MicrobiomeTranscriptomeAgedFecesFemaleGene Expression ProfilingHumansMaleMiddle AgedRNA, Ribosomal, 16SRNA, Ribosomal, 16S16S rRNA sequencingcolorectal cancerdiagnostic markersgut microbiotaOTU-gene correlation

Identifiers

PMID40313460
PMCPMC12043645

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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.