Evidence map›Paper›PMID 33658300›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2021

Microbiome Analysis of More Than 2,000 NHS Bowel Cancer Screening Programme Samples Shows the Potential to Improve Screening Accuracy.

Caroline Young, Henry M Wood, Alba Fuentes Balaguer, Daniel Bottomley, Niall Gallop, Lyndsay Wilkinson, Sally C Benton, Martin Brealey, Cerin John, Carole Burtonwood and 6 more

Open access · bronzeAbstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.9field-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

20 citing papers in PubMed, 33 citations in OpenAlex.

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  15. The Role of the Gut Microbiome in Cancer: A Review, With Special Focus on Colorectal Neoplasia and Clostridioides difficile.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023
    Review
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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 at 3 institutions in 2 countries.

Caroline YoungPathology & Data Analytics, Leeds Institute of Medical Research at St James's University Hospital, University of Leeds, Leeds, United Kingdom. c.young@leeds.ac.uk.ORCID 0000-0001-5709-4413
Henry M WoodPathology & Data Analytics, Leeds Institute of Medical Research at St James's University Hospital, University of Leeds, Leeds, United Kingdom.ORCID 0000-0003-3009-5904
Alba Fuentes BalaguerPathology & Data Analytics, Leeds Institute of Medical Research at St James's University Hospital, University of Leeds, Leeds, United Kingdom.
Daniel BottomleyPathology & Data Analytics, Leeds Institute of Medical Research at St James's University Hospital, University of Leeds, Leeds, United Kingdom.
Niall GallopPathology & Data Analytics, Leeds Institute of Medical Research at St James's University Hospital, University of Leeds, Leeds, United Kingdom.
Lyndsay WilkinsonPathology & Data Analytics, Leeds Institute of Medical Research at St James's University Hospital, University of Leeds, Leeds, United Kingdom.
Sally C BentonNHS Bowel Cancer Screening Programme - Southern Hub, Surrey Research Park, Guildford, United Kingdom.
Martin BrealeyNHS Bowel Cancer Screening Programme - Southern Hub, Surrey Research Park, Guildford, United Kingdom.
Cerin JohnNHS Bowel Cancer Screening Programme - Southern Hub, Surrey Research Park, Guildford, United Kingdom.
Carole BurtonwoodNHS Bowel Cancer Screening Programme - Southern Hub, Surrey Research Park, Guildford, United Kingdom.
Kelsey N ThompsonDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts.ORCID 0000-0002-9437-9722
Yan YanDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts.
Jennifer H BarrettPathology & Data Analytics, Leeds Institute of Medical Research at St James's University Hospital, University of Leeds, Leeds, United Kingdom.ORCID 0000-0002-1720-7724
Eva J A MorrisPathology & Data Analytics, Leeds Institute of Medical Research at St James's University Hospital, University of Leeds, Leeds, United Kingdom.ORCID 0000-0002-1075-6544
Curtis HuttenhowerDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts.
Philip QuirkePathology & Data Analytics, Leeds Institute of Medical Research at St James's University Hospital, University of Leeds, Leeds, United Kingdom.ORCID 0000-0002-3597-5444
St James's University Hospital · GBBowel Cancer UK · GBHarvard University · US

Funding

Pilot & Feasibility ProgramP30DK043351 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI RAYMOND T CHUNG · 1991 to 2026
$35.3M
Cancer Research UK 27140Cancer Research UK A27140NIDDK NIH HHS P30 DK043351Wellcome Trust 203524Wellcome Trust 203524/Z/16/Z
6 · The paper itself

Abstract

purposeThere is potential for fecal microbiome profiling to improve colorectal cancer screening. This has been demonstrated by research studies, but it has not been quantified at scale using samples collected and processed routinely by a national screening program. EXPERIMENTAL

designBetween 2016 and 2019, the largest of the NHS Bowel Cancer Screening Programme hubs prospectively collected processed guaiac fecal occult blood test (gFOBT) samples with subsequent colonoscopy outcomes: blood-negative [

resultsSamples provided 16S amplicon-based microbial profiles, which confirmed previously described colorectal cancer-microbiome associations. Microbiome-based RF models showed potential as a first-tier screen, distinguishing colorectal cancer or neoplasm (colorectal cancer or adenoma) from blood-negative with AUC 0.86 (0.82-0.89) and AUC 0.78 (0.74-0.82), respectively. Microbiome-based models also showed potential as a second-tier screen, distinguishing from among gFOBT blood-positive samples, colorectal cancer or neoplasm from colonoscopy-normal with AUC 0.79 (0.74-0.83) and AUC 0.73 (0.68-0.77), respectively. Models remained robust when restricted to 15 taxa, and performed similarly during external validation with metagenomic datasets.

conclusionsMicrobiome features can be assessed using gFOBT samples collected and processed routinely by a national colorectal cancer screening program to improve accuracy as a first- or second-tier screen. The models required as few as 15 taxa, raising the potential of an inexpensive qPCR test. This could reduce the number of colonoscopies in countries that use fecal occult blood test screening.

Indexed as

Gastrointestinal MicrobiomeAgedAged, 80 and overColonoscopyColorectal NeoplasmsDNA, BacterialEarly Detection of CancerEnglandFecesFemaleHumansMaleMiddle AgedOccult BloodProspective StudiesRNA, Ribosomal, 16SDNA, BacterialRNA, Ribosomal, 16S

Identifiers

PMID33658300
PMCPMC7610626
OpenAlexW3135408577

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.