Evidence map›Paper›PMID 35953094›Full record

ArticleGut2023

Integrated metagenomic and metabolomic analysis reveals distinct gut-microbiome-derived phenotypes in early-onset colorectal cancer.

Cheng Kong, Lei Liang, Guang Liu, Lutao Du, Yongzhi Yang, Jianqiang Liu, Debing Shi, Xinxiang Li, Yanlei Ma

Abstract read
PubMed Publisher
In one paragraph

Article in Gut, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 170 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
170citing papers in PubMed, 2 pooled it
18.6field-weighted citation impact, top 1% of its field
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

170 citing papers in PubMed, 2 syntheses or guidelines pooled it, 231 citations in OpenAlex.

  1. Colorectal neoplasia-specific amino acid profiles and their diagnostic potential: a systematic review.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Pooled it
  2. Pooled it
  3. Trial
  4. Novel bacteriumGut microbes · 2026
    Article
  5. Review
  6. Article
  7. Observational
  8. Article
  9. Review
  10. Review
  11. Review
  12. Review
  13. Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article

110 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

Cheng Kong *Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.ORCID 0000-0002-3698-991X
Lei Liang *Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Guang Liu *Guangdong Hongyuan Pukang Medical Technology Co., Ltd, Guangdong, China.
Lutao Du *Department of Clinical Laboratory, The Second Hospital of Shandong University, Jinan, Shandong province, China.
Yongzhi Yang *Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Jianqiang LiuDepartment of Endoscopy, Fudan University Shanghai Cancer Center, Shanghai, China.
Debing ShiDepartment of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Xinxiang LiDepartment of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.ORCID 0000-0003-1648-5930
Yanlei MaDepartment of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, China yanleima@fudan.edu.cn.ORCID 0000-0002-0632-5258
Shanghai Medical College of Fudan University · CNFudan University Shanghai Cancer Center · CNSecond Hospital of Shandong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe incidence of early-onset colorectal cancer (EO-CRC) is steadily increasing. Here, we aimed to characterise the interactions between gut microbiome, metabolites and microbial enzymes in EO-CRC patients and evaluate their potential as non-invasive biomarkers for EO-CRC.

designWe performed metagenomic and metabolomic analyses, identified multiomics markers and constructed CRC classifiers for the discovery cohort with 130 late-onset CRC (LO-CRC), 114 EO-CRC subjects and age-matched healthy controls (97 LO-Control and 100 EO-Control). An independent cohort of 38 LO-CRC, 24 EO-CRC, 22 LO-Controls and 24 EO-Controls was analysed to validate the results.

resultsCompared with controls, reduced alpha-diversity was apparent in both, LO-CRC and EO-CRC subjects. Although common variations existed, integrative analyses identified distinct microbiome-metabolome associations in LO-CRC and EO-CRC.

conclusionOur large-sample multiomics data suggest that altered microbiome-metabolome interplay helps explain the pathogenesis of EO-CRC and LO-CRC. The potential of microbiome-derived biomarkers as promising non-invasive tools could be used for the accurate detection and distinction of individuals with EO-CRC.

Indexed as

Colorectal NeoplasmsGastrointestinal MicrobiomeMicrobiotaCholineHumansPhenotypeCholineCOLORECTAL CANCER

Identifiers

PMID35953094
OpenAlexW4296580963

What OpenQuestion holds

Textmetadata
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.