Evidence map›Paper›PMID 36369736›Full record

ArticleGut microbes

Integration of stool microbiota, proteome and amino acid profiles to discriminate patients with adenomas and colorectal cancer.

Sofie Bosch, Animesh Acharjee, Mohammed Nabil Quraishi, Irene V Bijnsdorp, Patricia Rojas, Abdellatif Bakkali, Erwin Ew Jansen, Pieter Stokkers, Johan Kuijvenhoven, Thang V Pham and 6 more

Abstract readMulticenter Study
In one paragraph

Article in Gut microbes. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 3 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

20 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  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
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  12. Faecal amino acids stability: investigating optimal sampling conditions for analysis.Metabolomics : Official journal of the Metabolomic Society · 2025
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  14. A Proteogenomic Approach to Unveiling the Complex Biology of the Microbiome.International journal of molecular sciences · 2024
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  17. [Gut Microbiome and Colorectal Cancer].The Korean journal of gastroenterology = Taehan Sohwagi Hakhoe chi · 2023
    Review
  18. Gut microbiota in colorectal cancer development and therapy.Nature reviews. Clinical oncology · 2023
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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

16 authors.

Sofie BoschDepartment of Gastroenterology and Hepatology, Amsterdam Gastroenterology and Endocrinology Metabolism Institute, Amsterdam University Medical Centre, VU University Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0001-9202-1674
Animesh AcharjeeCollege of Medical and Dental Sciences, Institute of Cancer and Genomic Sciences, Center for Computational Biology, University of Birmingham, Birmingham, UK.
Mohammed Nabil QuraishiDepartment of Gastroenterology, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
Irene V BijnsdorpDepartment of Medical Oncology, Amsterdam UMC, VU University Medical Center, Amsterdam, The Netherlands.
Patricia RojasInstitute of Applied Health Research, University of Birmingham, Birmingham, UK.
Abdellatif BakkaliDepartment of Clinical Chemistry, VU University Medical Center, Amsterdam, The Netherlands.
Erwin Ew JansenDepartment of Clinical Chemistry, VU University Medical Center, Amsterdam, The Netherlands.
Pieter StokkersDepartment of Gastroenterology and Hepatology, OLVG West, Amsterdam, The Netherlands.
Johan KuijvenhovenSpaarne Gasthuis, Department of Gastroenterology and Hepatology, Hoofddorp and Haarlem, The Netherlands.
Thang V PhamDepartment of Medical Oncology, Amsterdam UMC, VU University Medical Center, Amsterdam, The Netherlands.
Andrew D BeggsInstitute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK.
Connie R JimenezDepartment of Medical Oncology, Amsterdam UMC, VU University Medical Center, Amsterdam, The Netherlands.
Eduard A StruysDepartment of Clinical Chemistry, VU University Medical Center, Amsterdam, The Netherlands.
Georgios V GkoutosCollege of Medical and Dental Sciences, Institute of Cancer and Genomic Sciences, Center for Computational Biology, University of Birmingham, Birmingham, UK.
Tim Gj de MeijDepartment of Paediatric Gastroenterology, AG&M Research Institute, Amsterdam UMC, VU University Amsterdam, Amsterdam, The Netherlands.
Nanne Kh de BoerDepartment of Gastroenterology and Hepatology, Amsterdam Gastroenterology and Endocrinology Metabolism Institute, Amsterdam University Medical Centre, VU University Amsterdam, Amsterdam, The Netherlands.

Funding

Cancer Research UK C11497/A25127Cancer Research UK C17422/A25154
6 · The paper itself

Abstract

backgroundScreening for colorectal cancer (CRC) reduces its mortality but has limited sensitivity and specificity. Aims We aimed to explore potential biomarker panels for CRC and adenoma detection and to gain insight into the interaction between gut microbiota and human metabolism in the presence of these lesions.

methodsThis multicenter case-control cohort was performed between February 2016 and November 2019. Consecutive patients ≥18 years with a scheduled colonoscopy were asked to participate and divided into three age, gender, body-mass index and smoking status-matched subgroups: CRC (n = 12), adenomas (n = 21) and controls (n = 20). Participants collected fecal samples prior to bowel preparation on which proteome (LC-MS/MS), microbiota (16S rRNA profiling) and amino acid (HPLC) composition were assessed. Best predictive markers were combined to create diagnostic biomarker panels. Pearson correlation-based analysis on selected markers was performed to create networks of all platforms.

resultsCombining omics platforms provided new panels which outperformed hemoglobin in this cohort, currently used for screening (AUC 0.98, 0.95 and 0.87 for CRC vs controls, adenoma vs controls and CRC vs adenoma, respectively). Integration of data sets revealed markers associated with increased blood excretion, stress- and inflammatory responses and pointed toward downregulation of epithelial integrity.

conclusionsIntegrating fecal microbiota, proteome and amino acids platforms provides for new biomarker panels that may improve noninvasive screening for adenomas and CRC, and may subsequently lead to lower incidence and mortality of colon cancer.

Indexed as

AdenomaColorectal NeoplasmsGastrointestinal MicrobiomeAmino AcidsChromatography, LiquidFecesHumansProteomeRNA, Ribosomal, 16STandem Mass SpectrometryAmino AcidsProteomeRNA, Ribosomal, 16SadenomabiomarkerColon cancerdata integrationmulti omicsscreeningstool

Identifiers

PMID36369736
PMCPMC9662191

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Registered trials

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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.