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


Journal

Clinical cancer research : an official journal of the American Association for Cancer Research
ISSN: 1557-3265
Titre abrégé: Clin Cancer Res
Pays: United States
ID NLM: 9502500

Informations de publication

Date de publication:
15 04 2021
Historique:
received: 04 10 2020
revised: 05 12 2020
accepted: 12 02 2021
pubmed: 5 3 2021
medline: 15 3 2022
entrez: 4 3 2021
Statut: ppublish

Résumé

There 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. Between 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 [ Samples 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. Microbiome 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.

Identifiants

pubmed: 33658300
pii: 1078-0432.CCR-20-3807
doi: 10.1158/1078-0432.CCR-20-3807
pmc: PMC7610626
mid: EMS118648
doi:

Substances chimiques

DNA, Bacterial 0
RNA, Ribosomal, 16S 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

2246-2254

Subventions

Organisme : Wellcome Trust
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 203524
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 203524/Z/16/Z
Pays : United Kingdom
Organisme : Cancer Research UK
ID : A27140
Pays : United Kingdom

Informations de copyright

©2021 American Association for Cancer Research.

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Auteurs

Caroline Young (C)

Pathology & Data Analytics, Leeds Institute of Medical Research at St James's University Hospital, University of Leeds, Leeds, United Kingdom. c.young@leeds.ac.uk.

Henry M Wood (HM)

Pathology & Data Analytics, Leeds Institute of Medical Research at St James's University Hospital, University of Leeds, Leeds, United Kingdom.

Alba Fuentes Balaguer (A)

Pathology & Data Analytics, Leeds Institute of Medical Research at St James's University Hospital, University of Leeds, Leeds, United Kingdom.

Daniel Bottomley (D)

Pathology & Data Analytics, Leeds Institute of Medical Research at St James's University Hospital, University of Leeds, Leeds, United Kingdom.

Niall Gallop (N)

Pathology & Data Analytics, Leeds Institute of Medical Research at St James's University Hospital, University of Leeds, Leeds, United Kingdom.

Lyndsay Wilkinson (L)

Pathology & Data Analytics, Leeds Institute of Medical Research at St James's University Hospital, University of Leeds, Leeds, United Kingdom.

Sally C Benton (SC)

NHS Bowel Cancer Screening Programme - Southern Hub, Surrey Research Park, Guildford, United Kingdom.

Martin Brealey (M)

NHS Bowel Cancer Screening Programme - Southern Hub, Surrey Research Park, Guildford, United Kingdom.

Cerin John (C)

NHS Bowel Cancer Screening Programme - Southern Hub, Surrey Research Park, Guildford, United Kingdom.

Carole Burtonwood (C)

NHS Bowel Cancer Screening Programme - Southern Hub, Surrey Research Park, Guildford, United Kingdom.

Kelsey N Thompson (KN)

Department of Biostatistics, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts.

Yan Yan (Y)

Department of Biostatistics, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts.

Jennifer H Barrett (JH)

Pathology & Data Analytics, Leeds Institute of Medical Research at St James's University Hospital, University of Leeds, Leeds, United Kingdom.

Eva J A Morris (EJA)

Pathology & Data Analytics, Leeds Institute of Medical Research at St James's University Hospital, University of Leeds, Leeds, United Kingdom.
Big Data Institute, Nuffield Department of Population Health, Old Road Campus, University of Oxford, Oxford, United Kingdom.

Curtis Huttenhower (C)

Department of Biostatistics, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts.

Philip Quirke (P)

Pathology & Data Analytics, Leeds Institute of Medical Research at St James's University Hospital, University of Leeds, Leeds, United Kingdom.

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