Evidence map›Paper›PMID 33593386›Full record

ArticleGenome medicine2021

The colorectal cancer-associated faecal microbiome of developing countries resembles that of developed countries.

Caroline Young, Henry M Wood, Ramakrishnan Ayloor Seshadri, Pham Van Nang, Carlos Vaccaro, Luis Contreras Melendez, Mayilvahanan Bose, Mai Van Doi, Tamara Alejandra Piñero, Camilo Tapia Valladares and 6 more

Open access · goldAbstract read
In one paragraph

Article in Genome medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
3.9field-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

30 citing papers in PubMed, 55 citations in OpenAlex.

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  15. Association ofHeliyon · 2023
    Article
  16. Colorectal Cancer: From Risk Factors to Oncogenesis.Medicina (Kaunas, Lithuania) · 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 6 institutions in 6 countries.

Caroline YoungPathology & Data Analytics, Leeds Institute of Medical Research at St James's University Hospital, University of Leeds, Level 4 Wellcome Trust Brenner Building, Leeds, LS9 7TF, UK. 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, Level 4 Wellcome Trust Brenner Building, Leeds, LS9 7TF, UK.
Ramakrishnan Ayloor SeshadriCancer Institute (WIA), Chennai, India.
Pham Van NangCan Tho University of Medicine and Pharmacy, Can Tho, Vietnam.
Carlos VaccaroInstituto de Medicina Traslacional e Ingeniería Biomédica (IMTIB) - CONICET - Instituto Universitario del Hospital Italiano (IUHI), Hospital Italiano de buenos Aires (HIBA), Buenos Aires, Argentina.
Luis Contreras MelendezUniversidad de los Andes, Santiago, Chile.
Mayilvahanan BoseCancer Institute (WIA), Chennai, India.
Mai Van DoiCan Tho University of Medicine and Pharmacy, Can Tho, Vietnam.
Tamara Alejandra PiñeroInstituto de Medicina Traslacional e Ingeniería Biomédica (IMTIB) - CONICET - Instituto Universitario del Hospital Italiano (IUHI), Hospital Italiano de buenos Aires (HIBA), Buenos Aires, Argentina.
Camilo Tapia ValladaresUniversidad de los Andes, Santiago, Chile.
Julieta ArgueroInstituto de Medicina Traslacional e Ingeniería Biomédica (IMTIB) - CONICET - Instituto Universitario del Hospital Italiano (IUHI), Hospital Italiano de buenos Aires (HIBA), Buenos Aires, Argentina.
Alba Fuentes BalaguerPathology & Data Analytics, Leeds Institute of Medical Research at St James's University Hospital, University of Leeds, Level 4 Wellcome Trust Brenner Building, Leeds, LS9 7TF, UK.
Kelsey N ThompsonDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Harvard University, Boston, USA.
Yan YanDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Harvard University, Boston, USA.
Curtis HuttenhowerDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Harvard University, Boston, USA.
Philip QuirkePathology & Data Analytics, Leeds Institute of Medical Research at St James's University Hospital, University of Leeds, Level 4 Wellcome Trust Brenner Building, Leeds, LS9 7TF, UK.
University of Leeds · GBConsejo Nacional de Investigaciones Científicas y Técnicas · ARHarvard University · USCancer Institute (WIA) · INCan Tho University · VNUniversidad de Los Andes, Chile · CL

Funding

Pilot & Feasibility ProgramP30DK043351 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI Ramnik J Xavier · 1991 to 2026
$35.3M
Cancer Research UK 27140Cancer Research UK C10674/A27140NIDDK NIH HHS P30 DK043351Wellcome Trust 203524/Z/16/Z
6 · The paper itself

Abstract

backgroundThe incidence of colorectal cancer (CRC) is increasing in developing countries, yet limited research on the CRC- associated microbiota has been conducted in these areas, in part due to scarce resources, facilities, and the difficulty of fresh or frozen stool storage/transport. Here, we aimed (1) to establish a broad representation of diverse developing countries (Argentina, Chile, India, and Vietnam); (2) to validate a 'resource-light' sample-collection protocol translatable in these settings using guaiac faecal occult blood test (gFOBT) cards stored and, importantly, shipped internationally at room temperature; (3) to perform initial profiling of the collective CRC-associated microbiome of these developing countries; and (4) to compare this quantitatively with established CRC biomarkers from developed countries.

methodsWe assessed the effect of international storage and transport at room temperature by replicating gFOBT from five UK volunteers, storing two in the UK, and sending replicates to institutes in the four countries. Next, to determine the effect of prolonged UK storage, DNA extraction replicates for a subset of samples were performed up to 252 days apart. To profile the CRC-associated microbiome of developing countries, gFOBT were collected from 41 treatment-naïve CRC patients and 40 non-CRC controls from across the four institutes, and V4 16S rRNA gene sequencing was performed. Finally, we constructed a random forest (RF) model that was trained and tested against existing datasets from developed countries.

resultsThe microbiome was stably assayed when samples were stored/transported at room temperature and after prolonged UK storage. Large-scale microbiome structure was separated by country and continent, with a smaller effect from CRC. Importantly, the RF model performed similarly to models trained using external datasets and identified similar taxa of importance (Parvimonas, Peptostreptococcus, Fusobacterium, Alistipes, and Escherichia).

conclusionsThis study demonstrates that gFOBT, stored and transported at room temperature, represents a suitable method of faecal sample collection for amplicon-based microbiome biomarkers in developing countries and suggests a CRC-faecal microbiome association that is consistent between developed and developing countries.

Indexed as

Developed CountriesDeveloping CountriesGastrointestinal MicrobiomeAdultAgedCase-Control StudiesColorectal NeoplasmsFecesFemaleGeographyGuaiacHumansMaleMiddle AgedOccult BloodTransportationGuaiacArgentinaChilegFOBTIndiaMicrobiotaVietnam

Identifiers

PMID33593386
PMCPMC7887780
OpenAlexW3129896128

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.