Evidence map›Paper›PMID 37158960›Full record

Observational studyMicrobiome2023

Pathobionts in the tumour microbiota predict survival following resection for colorectal cancer.

James L Alexander, Joram M Posma, Alasdair Scott, Liam Poynter, Sam E Mason, M Luisa Doria, Lili Herendi, Lauren Roberts, Julie A K McDonald, Simon Cameron and 17 more

Open access · goldAbstract readObservational StudyVideo-Audio Media
In one paragraph

Observational study in Microbiome, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
4.6field-weighted citation impact, top 5% 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

25 citing papers in PubMed, 30 citations in OpenAlex.

  1. Gut Microbial Topology and Metabolic Signatures Associated With Colorectal Neoplasia.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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  13. Intestinal dysbiosis and colorectal cancer.Chinese medical journal · 2025
    Review
  14. MedComm · 2025
    Article
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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

27 authors at 8 institutions in 3 countries.

James L AlexanderDivision of Digestive Diseases, Department of Metabolism, Digestion and Reproduction, Imperial College London, 10th Floor, QEQM Building, St. Mary's Hospital, Praed Street, London, W2 1NY, UK.
Joram M PosmaSection of Bioinformatics, Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK.
Alasdair ScottDepartment of Surgery & Cancer, Imperial College London, London, UK.
Liam PoynterDepartment of Surgery & Cancer, Imperial College London, London, UK.
Sam E MasonDepartment of Surgery & Cancer, Imperial College London, London, UK.
M Luisa DoriaDepartment of Surgery & Cancer, Imperial College London, London, UK.
Lili HerendiDivision of Systems Medicine, Department of Metabolism, Digestion and Reproduction, National Phenome Centre, Imperial College London, London, UK.
Lauren RobertsDivision of Digestive Diseases, Department of Metabolism, Digestion and Reproduction, Imperial College London, 10th Floor, QEQM Building, St. Mary's Hospital, Praed Street, London, W2 1NY, UK.
Julie A K McDonaldDepartment of Life Sciences, MRC Centre for Molecular Bacteriology and Infection, Imperial College London, London, UK.
Simon CameronInstitute of Global Food Security, School of Biosciences, Queen's University Belfast, Belfast, UK.
David J HughesCancer Biology and Therapeutics Group, School of Biomolecular and Biomedical Science, UCD Conway Institute, University College Dublin, Dublin, Ireland.
Vaclav LiskaDepartment of Surgery, Faculty Hospital and Faculty of Medicine in Pilsen, Charles University in Prague, Pilsen, Czech Republic.
Simona SusovaFaculty of Medicine in Pilsen, Biomedical Centre, Charles University in Prague, Pilsen, Czech Republic.
Pavel SoucekFaculty of Medicine in Pilsen, Biomedical Centre, Charles University in Prague, Pilsen, Czech Republic.
Verena Horneffer-van der SluisDivision of Systems Medicine, Department of Metabolism, Digestion and Reproduction, National Phenome Centre, Imperial College London, London, UK.
Maria Gomez-RomeroDivision of Systems Medicine, Department of Metabolism, Digestion and Reproduction, National Phenome Centre, Imperial College London, London, UK.
Matthew R LewisDivision of Systems Medicine, Department of Metabolism, Digestion and Reproduction, National Phenome Centre, Imperial College London, London, UK.
Lesley HoylesDivision of Digestive Diseases, Department of Metabolism, Digestion and Reproduction, Imperial College London, 10th Floor, QEQM Building, St. Mary's Hospital, Praed Street, London, W2 1NY, UK.
Andrew WoolstonTranslational Oncogenomics Laboratory, The Institute of Cancer Research, 237 Fulham Road, London, SW3 6JB, UK.
David CunninghamGI Cancer Unit, Department of Medical Oncology, Royal Marsden NHS Foundation Trust, London, UK.
Ara DarziDepartment of Surgery & Cancer, Imperial College London, London, UK.
Marco GerlingerTranslational Oncogenomics Laboratory, The Institute of Cancer Research, 237 Fulham Road, London, SW3 6JB, UK.
Robert GoldinDivision of Digestive Diseases, Department of Metabolism, Digestion and Reproduction, Imperial College London, 10th Floor, QEQM Building, St. Mary's Hospital, Praed Street, London, W2 1NY, UK.
Zoltan TakatsDivision of Systems Medicine, Department of Metabolism, Digestion and Reproduction, National Phenome Centre, Imperial College London, London, UK.
Julian R MarchesiDivision of Digestive Diseases, Department of Metabolism, Digestion and Reproduction, Imperial College London, 10th Floor, QEQM Building, St. Mary's Hospital, Praed Street, London, W2 1NY, UK. j.marchesi@imperial.ac.uk.
Julian TeareDepartment of Surgery & Cancer, Imperial College London, London, UK.
James KinrossDepartment of Surgery & Cancer, Imperial College London, London, UK.
Imperial College London · GBCharles University · CZSt Mary's Hospital · GBInstitute of Cancer Research · GBQueen's University Belfast · GBRoyal Marsden NHS Foundation Trust · GBSt. Mary's Hospital · GBUniversity College Dublin · IE

Funding

Medical Research Council MR/L01632X/1Medical Research Council MR/S004033/1
6 · The paper itself

Abstract

BACKGROUND AND

aimsThe gut microbiota is implicated in the pathogenesis of colorectal cancer (CRC). We aimed to map the CRC mucosal microbiota and metabolome and define the influence of the tumoral microbiota on oncological outcomes.

methodsA multicentre, prospective observational study was conducted of CRC patients undergoing primary surgical resection in the UK (n = 74) and Czech Republic (n = 61). Analysis was performed using metataxonomics, ultra-performance liquid chromatography-mass spectrometry (UPLC-MS), targeted bacterial qPCR and tumour exome sequencing. Hierarchical clustering accounting for clinical and oncological covariates was performed to identify clusters of bacteria and metabolites linked to CRC. Cox proportional hazards regression was used to ascertain clusters associated with disease-free survival over median follow-up of 50 months.

resultsThirteen mucosal microbiota clusters were identified, of which five were significantly different between tumour and paired normal mucosa. Cluster 7, containing the pathobionts Fusobacterium nucleatum and Granulicatella adiacens, was strongly associated with CRC (P

conclusionsNetworks of pathobionts in the tumour mucosal niche are associated with tumour mutation and metabolic subtypes and predict favourable outcome following CRC resection. Video Abstract.

Indexed as

Colorectal NeoplasmsGastrointestinal MicrobiomeMicrobiotaChromatography, LiquidHumansTandem Mass SpectrometryColorectal cancerGut microbiotaMetabolomeMetataxonomics

Identifiers

PMID37158960
PMCPMC10165813
OpenAlexW4375850267

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.