Evidence map›Paper›PMID 28827587›Full record

Observational studyScientific reports2017

A prospective analysis of mucosal microbiome-metabonome interactions in colorectal cancer using a combined MAS 1HNMR and metataxonomic strategy.

James Kinross, Reza Mirnezami, James Alexander, Richard Brown, Alasdair Scott, Dieter Galea, Kirill Veselkov, Rob Goldin, Ara Darzi, Jeremy Nicholson and 1 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 3 pooled it
2.0field-weighted citation impact, top 13% 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

24 citing papers in PubMed, 3 syntheses or guidelines pooled it, 48 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
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  13. Faecal microbial biomarkers in early diagnosis of colorectal cancer.Journal of cellular and molecular medicine · 2021
    Review
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  16. The Role of the Intestinal Microbiome on Colorectal Cancer Pathogenesis and its Recurrence Following Surgery.Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2020
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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

11 authors at 2 institutions in 1 country.

James KinrossDivision of Surgery, Department of Surgery and Cancer, Imperial College London, London, UK.
Reza MirnezamiDivision of Surgery, Department of Surgery and Cancer, Imperial College London, London, UK.
James AlexanderDivision of Digestive Diseases, Faculty of Medicine, Department of Surgery and Cancer, Imperial College London, London, UK.
Richard BrownSchool of Biosciences, Cardiff University, Cardiff, UK.
Alasdair ScottDivision of Surgery, Department of Surgery and Cancer, Imperial College London, London, UK.
Dieter GaleaComputational and Systems Medicine, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK.
Kirill VeselkovComputational and Systems Medicine, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK.
Rob GoldinCentre for Pathology, Faculty of Medicine, Imperial College London, London, UK.
Ara DarziDivision of Surgery, Department of Surgery and Cancer, Imperial College London, London, UK.
Jeremy NicholsonComputational and Systems Medicine, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK.
Julian R MarchesiDivision of Digestive Diseases, Faculty of Medicine, Department of Surgery and Cancer, Imperial College London, London, UK. j.marchesi@imperial.ac.uk.
Imperial College London · GBCardiff University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colon cancer induces a state of mucosal dysbiosis with associated niche specific changes in the gut microbiota. However, the key metabolic functions of these bacteria remain unclear. We performed a prospective observational study in patients undergoing elective surgery for colon cancer without mechanical bowel preparation (n = 18). Using 16 S rRNA gene sequencing we demonstrated that microbiota ecology appears to be cancer stage-specific and strongly associated with histological features of poor prognosis. Fusobacteria (p < 0.007) and ε- Proteobacteria (p < 0.01) were enriched on tumour when compared to adjacent normal mucosal tissue, and fusobacteria and β-Proteobacteria levels increased with advancing cancer stage (p = 0.014 and 0.002 respecitvely). Metabonomic analysis using 1H Magic Angle Spinning Nuclear Magnetic Resonsance  (MAS-NMR) spectroscopy, demonstrated increased abundance of taurine, isoglutamine, choline, lactate, phenylalanine and tyrosine and decreased levels of lipids and triglycerides in tumour relative to adjacent healthy tissue. Network analysis revealed that bacteria associated with poor prognostic features were not responsible for the modification of the cancer mucosal metabonome. Thus the colon cancer mucosal microbiome evolves with cancer stage to meet the demands of cancer metabolism. Passenger microbiota may play a role in the maintenance of cancer mucosal metabolic homeostasis but these metabolic functions may not be stage specific.

Indexed as

Gastrointestinal MicrobiomeMetabolomeCluster AnalysisColorectal NeoplasmsDNA, BacterialDNA, RibosomalHumansIntestinal MucosaMagnetic Resonance SpectroscopyMetabolomicsMetagenomicsMicrobiotaPhylogenyProspective StudiesRNA, Ribosomal, 16SSequence Analysis, DNADNA, BacterialDNA, RibosomalRNA, Ribosomal, 16S

Identifiers

PMID28827587
PMCPMC5566496
OpenAlexW2746252349

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.