Evidence map›Paper›PMID 40013832›Full record

ArticlemSystems2025

Fecal bacterial biomarkers and blood biochemical indicators as potential key factors in the development of colorectal cancer.

Ping Cai, Qingzhen Yang, Jiaqi Lu, Xiaoyu Dai, Jinbo Xiong

Abstract read
In one paragraph

Article in mSystems, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Article
  6. Microbiota relationship between breast, colorectal, and lung cancer types.Medical oncology (Northwood, London, England) · 2025
    Article
  7. Article
  8. 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

5 authors.

Ping CaiNingbo No.2 Hospital, Ningbo, China.
Qingzhen YangThe Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, China.
Jiaqi LuZhejiang KinGene Bio-technology Co., Ltd, Ningbo, China.
Xiaoyu DaiNingbo No.2 Hospital, Ningbo, China.ORCID 0000-0003-3630-6039
Jinbo XiongInstitute of One Health, School of Marine Sciences, Ningbo University, Ningbo, China.ORCID 0000-0003-0645-8058

Funding

Medical Scientific Research Foundation of Zhejiang Province, China 2024KY1551, 2025KY1386, 2025KY1503Science and Technology Innovation Yongjiang 2035 Key Research and Development Project of Ningbo 2024Z229
6 · The paper itself

Abstract

The incidence of colorectal cancer (CRC) has been increasing in recent decades. Current methods for CRC screening have their own drawbacks, thus there is an urgent need to identify the key microbes that drive the development of CRC for wider application in the early detection and prevention of CRC. To address this issue, we performed fecal microbiome analysis by high-throughput sequencing of 16S rRNA gene combined with blood biochemical indicators in patients with CRC stages I, II, III, and IV, healthy people, and patients with polyps. Fecal microbiota of patients with CRC was disturbed, as evidenced by significantly reduced α-diversity in patients with CRC stage IV and markedly different β-diversity. The random forest model identified the top 25 genera from 174 training data, resulting in a diagnostic accuracy of 87.95%. Further, by combining with differential genera analysis, we screened out 11 biomarkers that significantly changed in different groups. IMPORTANCE: Identifying the key microbes that drive the development of colorectal cancer (CRC) has been important in this field. We delved into the research on the association between CRC and fecal microbiota in this study, providing a detailed analysis of the characteristics of fecal microbiota during the transition from normal intestine to polyps to cancer. Fecal bacterial biomarkers and blood biochemical indicators may be co-biomarkers in the development of CRC.

Indexed as

BacteriaBiomarkers, TumorColorectal NeoplasmsFecesGastrointestinal MicrobiomeAdultAgedFemaleHumansMaleMiddle AgedRNA, Ribosomal, 16SBiomarkers, TumorRNA, Ribosomal, 16Sblood biochemical indicatorscolorectal cancerfecal microbiomepolypsrandom forest model

Identifiers

PMID40013832
PMCPMC11915818

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.