Evidence map›Paper›PMID 40434915›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2025

Comparing the Metagenomic Performance of Stools Collected from Custom Cards and 95% Ethanol in Epidemiologic Studies.

Thomas M Kuntz, Ling Liu, Kai Wang, Christine Everett, A Heather Eliassen, Walter C Willett, Rashmi Sinha, Andrew T Chan, Eric B Rimm, Wendy S Garrett and 5 more

Abstract readComparative Study
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

15 authors.

Thomas M KuntzHarvard Chan Microbiome Analysis Core, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.ORCID 0000-0002-0823-0340
Ling LiuDepartment of Global Health and Population, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.ORCID 0009-0004-0781-8718
Kai WangDepartment of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.ORCID 0000-0002-5614-5618
Christine EverettHarvard Chan Microbiome in Public Health Center, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.ORCID 0009-0006-8414-4758
A Heather EliassenDepartment of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.ORCID 0000-0002-3961-6609
Walter C WillettDepartment of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.ORCID 0000-0003-1458-7597
Rashmi SinhaMetabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland.ORCID 0000-0002-2466-7462
Andrew T ChanClinical and Translational Epidemiology Unit, Mongan Institute, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.ORCID 0000-0001-7284-6767
Eric B RimmDepartment of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.ORCID 0000-0002-1402-7250
Wendy S GarrettHarvard Chan Microbiome in Public Health Center, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.ORCID 0000-0002-5092-0150
Nicola SegataDepartment CIBIO, University of Trento, Trento, Italy.ORCID 0000-0002-1583-5794
Gianmarco PiccinnoDepartment CIBIO, University of Trento, Trento, Italy.ORCID 0000-0003-1947-1817
Curtis HuttenhowerDepartment of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.ORCID 0000-0002-1110-0096
Xochitl MorganHarvard Chan Microbiome Analysis Core, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.ORCID 0000-0002-6264-6961
Mingyang SongDepartment of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.ORCID 0000-0002-1324-0316

Funding

Life Course Cancer Epidemiology Cohort in WomenU01CA176726 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI ELIASSEN, A. HEATHER, WILLETT, WALTER C. · 2018 to 2025
$22.4M
Precision Prevention Research ProgramR35CA253185 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI Andrew T Chan · 2020 to 2026
$6.9M
Coffee and metabolites modulating the gut microbiome for improved colorectal cancer survivalR01CA263776 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Mingyang Song · 2022 to 2026
$3.3M
The Gut Microbiome, Lifestyle, and Colorectal NeoplasiaU01CA261961 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Mingyang Song · 2022 to 2026
$3.0M
Dietary prevention for colorectal cancer: targeting the bile acid/gut microbiome axisR00CA283146 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI Kai Wang · 2025 to 2026
$470k
Dietary prevention for colorectal cancer: targeting the bile acid/gut microbiome axisK99CA283146 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI WANG, KAI · 2023 to 2024
$244k
National Institutes of Health (NIH) R01CA263776National Institutes of Health (NIH) R35CA253185National Institutes of Health (NIH) U01CA176726National Institutes of Health (NIH) U01CA261961NCI NIH HHS K99 CA283146NCI NIH HHS R00 CA283146NCI NIH HHS R01 CA263776NCI NIH HHS R35 CA253185NCI NIH HHS U01 CA176726NCI NIH HHS U01 CA261961
6 · The paper itself

Abstract

backgroundStool cards have been used for microbiome assessment in epidemiologic studies.

methodsWe compared shotgun metagenomic sequencing from 32 participants who self-collected stool samples from the same bowel movement using a custom stool card versus a collection tube with 95% ethanol fixative in the Nurses' Health Study II. We evaluated the agreement between methods at both the whole-community and individual species levels. To contextualize the comparison for disease association studies, we assessed the performance of the two collection methods for differentiating colorectal cancer-associated taxa.

resultsOverall, metagenomes from cards and 95% ethanol were highly correlated within individuals. No difference was found in α diversity and only ∼1% of variation in β diversity was explained by the collection method. At the species level, although the relative abundances were highly correlated between card and ethanol sample pairs (Spearman rho = 0.96), 10 (of 239) species showed a differential abundance in paired samples, including overrepresentation of Escherichia coli and underrepresentation of three Streptococcus species in cards compared with ethanol. Among a set of 99 colorectal cancer-associated species, four showed differential abundances between collection methods; however, this number was consistent with that expected by chance.

conclusionsMetagenomic sequencing using stool samples self-collected using stool cards or 95% ethanol yielded largely consistent results although differential abundances were observed for a small number of individual species. IMPACT: Stool cards can be a cost-effective alternative to collect stool samples for metagenomic sequencing in epidemiologic studies but warrant additional considerations for data analysis.

Indexed as

Colorectal NeoplasmsEthanolFecesGastrointestinal MicrobiomeMetagenomicsSpecimen HandlingAdultEpidemiologic StudiesFemaleHumansMaleMiddle AgedEthanol

Identifiers

PMID40434915
PMCPMC12316560

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