Evidence map›Paper›PMID 42249581›Full record

ArticleMicrobial biotechnology2026

Genomic Map of Escherichia coli and Single Nucleotide Polymorphism Markers in Colorectal Cancer.

Yang Xi, Zhong Liping, Xu Yating, Xu Yang, Chu Jian, Chu Caiyun, Li Shuwen, Zhang Zian, Yu Xiaojian, Han Shuwen and 1 more

Abstract read
In one paragraph

Article in Microbial biotechnology, 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

11 authors.

Yang XiHuzhou Central Hospital, Fifth School of Clinical Medicine of Zhejiang Chinese Medical University, Huzhou, Zhejiang, People's Republic of China.ORCID https://orcid.org/0000-0001-6863-0066
Zhong LipingHuzhou Central Hospital, Fifth School of Clinical Medicine of Zhejiang Chinese Medical University, Huzhou, Zhejiang, People's Republic of China.
Xu YatingHuzhou Central Hospital, Fifth School of Clinical Medicine of Zhejiang Chinese Medical University, Huzhou, Zhejiang, People's Republic of China.
Xu YangSchool of Medicine, Tarim University, Aral, Xinjiang, People's Republic of China.ORCID https://orcid.org/0009-0009-5974-047X
Chu JianHuzhou Central Hospital, Fifth School of Clinical Medicine of Zhejiang Chinese Medical University, Huzhou, Zhejiang, People's Republic of China.
Chu CaiyunSchool of Medicine, Tarim University, Aral, Xinjiang, People's Republic of China.
Li ShuwenSchool of Medicine, Tarim University, Aral, Xinjiang, People's Republic of China.
Zhang ZianSchool of Medicine, Tarim University, Aral, Xinjiang, People's Republic of China.
Yu XiaojianHuzhou Central Hospital, Fifth School of Clinical Medicine of Zhejiang Chinese Medical University, Huzhou, Zhejiang, People's Republic of China.
Han ShuwenHuzhou Central Hospital, Fifth School of Clinical Medicine of Zhejiang Chinese Medical University, Huzhou, Zhejiang, People's Republic of China.ORCID https://orcid.org/0000-0001-6180-9565
Wu WeiHuzhou Central Hospital, Fifth School of Clinical Medicine of Zhejiang Chinese Medical University, Huzhou, Zhejiang, People's Republic of China.

Funding

Medical and Health Research Project of Zhejiang Province 2025KY328Public Welfare Technology Application Research Program of Huzhou 2023GZ86
6 · The paper itself

Abstract

Gut microbial single nucleotide polymorphisms (SNPs) offer stable, specific genetic markers for disease diagnosis. Escherichia coli (E. coli), a dominant gut bacterium, is associated with colorectal cancer (CRC), but limited enteric reference genomes hinder SNP annotation in intestinal strains. Metagenomic sequencing profiled gut microbiota in 200 CRC patients and 200 healthy controls. The E. coli strain WDP was fully sequenced via PacBio single-molecule technology for genome assembly and functional annotation. Wilcoxon tests identified differentially abundant microbes, while Lasso regression models integrated microbial features (bacteria, viruses, virus-host pairs) and E. coli SNPs to predict CRC risk. E. coli abundance did not differ between groups, but genomic analysis revealed 7460 CRC-associated SNPs. The SNP-based model achieved superior accuracy (92.86% training, 93.33% testing, 84.00% validation) and AUC (0.986, 0.983, 0.913), outperforming models based on microbial abundances (e.g., Staphylococcus capitis, Zindervirus) or virus-host interactions. PacBio-generated E. coli genomic maps enable precise SNP annotation, establishing E. coli SNPs as highly accurate biomarkers for CRC risk prediction. This approach leverages microbial genetic stability to advance non-invasive early detection, offering a novel target for precision microbiome-based diagnostics.

Indexed as

Colorectal NeoplasmsEscherichia coliPolymorphism, Single NucleotideCase-Control StudiesChromosome MappingGastrointestinal MicrobiomeGenetic MarkersGenome, BacterialHumansMultilocus Sequence TypingGenetic Markerscolorectal cancerEscherichia colisingle nucleotide polymorphismvirus‐host abundance ratio

Identifiers

PMID42249581
PMCPMC13241579

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.