Evidence map›Paper›PMID 38961349›Full record

ArticleBMC microbiology2024

Tumour-associated and non-tumour-associated bacteria co-abundance groups in colorectal cancer.

Yuxuan Liang, Qingrong Zhang, Jing Yu, Wenyan Hu, Sihua Xu, Yiyuan Xiao, Hui Ding, Jiaming Zhou, Haitao Chen

Abstract read
In one paragraph

Article in BMC microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Frontiers in microbiology · 2026
    Review
  4. 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.

Yuxuan Liang *School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, China.
Qingrong Zhang *School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, China.
Jing Yu *Department of General Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
Wenyan Hu *School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, China.
Sihua XuSchool of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, China.
Yiyuan XiaoSchool of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, China.
Hui Ding *Department of General Surgery, First Affiliated Hospital of Jinan University, Guangzhou, China. 6432206@163.com.
Jiaming Zhou *Department of General Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China. zhoujiam@mail.sysu.edu.cn.
Haitao Chen *School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, China. chenht56@mail.sysu.edu.cn.

Funding

100 Top Talent Programs of Sun Yat-sen University 58000-12230029National Natural Science Foundation of China 82272312Shenzhen-Hong Kong-Macao Science and Technology Project SGDX20220530111403024
6 · The paper itself

Abstract

BACKGROUND &

aimsGut microbiota is closely related to the occurrence and development of colorectal cancer (CRC). However, the differences in bacterial co-abundance groups (CAGs) between tumor tissue (TT) and normal tissue (NT), as well as their associations with clinical features, are needed to be clarified.

methodsBacterial 16 S rRNA sequencing was performed by using TT samples and NT samples of 251 patients with colorectal cancer. Microbial diversity, taxonomic characteristics, microbial composition, and functional pathways were compared between TT and NT. Hierarchical clustering was used to construct CAGs.

resultsFour CAGs were grouped in the hierarchical cluster analysis. CAG 2, which was mainly comprised of pathogenic bacteria, was significantly enriched in TT samples (2.27% in TT vs. 0.78% in NT, p < 0.0001). CAG 4, which was mainly comprised of non-pathogenic bacteria, was significantly enriched in NT samples (0.62% in TT vs. 0.79% in NT, p = 0.0004). In addition, CAG 2 was also significantly associated with tumor microsatellite instability (13.2% in unstable vs. 2.0% in stable, p = 0.016), and CAG 4 was positively correlated with the level of CA199 (r = 0.17, p = 0.009).

conclusionsOur research will deepen our understanding of the interactions among multiple bacteria and offer insights into the potential mechanism of NT to TT transition.

Indexed as

BacteriaColorectal NeoplasmsGastrointestinal MicrobiomeRNA, Ribosomal, 16SAdultAgedAged, 80 and overCluster AnalysisDNA, BacterialFemaleHumansMaleMicrosatellite InstabilityMiddle AgedPhylogenyDNA, BacterialRNA, Ribosomal, 16S16S rRNA sequencingBiomarkersColorectal CancerMicrobiota classificationMucosal tissue

Identifiers

PMID38961349
PMCPMC11223424

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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.