Evidence map›Paper›PMID 42499657›Full record

ArticleFrontiers in microbiology2026

Tumour tissue-associated microbiome differences between colonic adenoma and carcinoma revealed by 5R 16S rRNA sequencing of formalin-fixed paraffin-embedded tissues: a case-control study.

Hanyang Yi, Wanneng He, Zijia Ma, Xianfeng Qiu, Lihua Ren, Xuyang Liang

Abstract read
In one paragraph

Article in Frontiers in 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

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

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.

Hanyang YiDepartment of Gastroenterology, The Affiliated Lianyungang Hospital of Xuzhou Medical University/The First People's Hospital of Lianyungang, Lianyungang, China.
Wanneng HeDepartment of Pathology, The Affiliated Lianyungang Hospital of Xuzhou Medical University/The First People's Hospital of Lianyungang, Lianyungang, China.
Zijia MaDepartment of Gastroenterology, Lianyungang Clinical College of Nanjing Medical University/The First People's Hospital of Lianyungang, Lianyungang, China.
Xianfeng QiuDepartment of Gastroenterology, The Affiliated Lianyungang Hospital of Xuzhou Medical University/The First People's Hospital of Lianyungang, Lianyungang, China.
Lihua RenDepartment of Gastroenterology, Zhongda Hospital, Southeast University, Nanjing, China.
Xuyang LiangDepartment of Gastroenterology, The Affiliated Lianyungang Hospital of Xuzhou Medical University/The First People's Hospital of Lianyungang, Lianyungang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumour-associated microbiota directly colonise lesion sites and interact with the local immune microenvironment, yet their compositional shifts during the adenoma-to-cancer transition remain poorly characterised, particularly in archival tissue. Using five-region 16S ribosomal RNA (5R 16S rRNA) sequencing with a four-category contamination control framework, we compared tumour-associated microbiomes in formalin-fixed paraffin-embedded (FFPE) tissues from 25 colonic tubular adenoma and 25 colon cancer patients in a case-control design. Alpha diversity was significantly reduced in the colon cancer group across three indices (Shannon, Simpson, and Pielou's evenness), reflecting shifts in community evenness rather than overall species loss. Beta diversity analysis, however, revealed no significant differences in global community composition between groups (ANOSIM:

Indexed as

5R 16S rRNAAlistipes finegoldiiBacteroides caccaecolon cancercolonic adenomaformalin-fixed paraffin-embeddedPrevotella intermediatumour microbiota

Identifiers

PMID42499657
PMCPMC13396170

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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.