Evidence map›Paper›PMID 40069139›Full record

ArticleCancer2025

The human oral microbiome and risk of colorectal cancer within three prospective cohort studies in the United States.

Emily Vogtmann, Yukiko Yano, Semi Zouiouich, Xing Hua, Yunhu Wan, Vaishnavi Purandare, Shilan Li, Casey L Dagnall, Kristine Jones, Belynda D Hicks and 12 more

Abstract read
In one paragraph

Article in Cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

22 authors.

Emily VogtmannDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.ORCID https://orcid.org/0000-0003-1355-5593
Yukiko YanoDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.
Semi ZouiouichDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.
Xing HuaDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.
Yunhu WanDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.
Vaishnavi PurandareDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.
Shilan LiDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.
Casey L DagnallDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.
Kristine JonesDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.
Belynda D HicksDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.
Amy HutchinsonDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.
J Gregory CaporasoCenter for Applied Microbiome Science, Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, USA.
William WheelerInformation Management Services Inc, Rockville, Maryland, USA.
Wen-Yi HuangDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.ORCID https://orcid.org/0000-0002-4440-3368
Neal D FreedmanDivision of Cancer Control and Population Science, National Cancer Institute, Bethesda, Maryland, USA.
Dale P SandlerChronic Disease Epidemiology Group, Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina, USA.ORCID https://orcid.org/0000-0002-6776-0018
Laura E Beane FreemanDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.
Linda M LiaoDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.
Mitchell H GailDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.
Jianxin ShiDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.
Christian C AbnetDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.
Rashmi SinhaDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.

Funding

STUDIES OF OCCUPATIONAL CANCER--PESTICIDESZ01CP010119 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI ALAVANJA, MICHAEL · 1996 to 2008
$5.0M
Advanced Development of Informatics Technologies for Cancer Research and Management (U24 Clinical Trial Optional)U24CA248454 · NCI · NORTHERN ARIZONA UNIVERSITY · PI CAPORASO, JAMES GREGORY · 2020 to 2024
$3.7M
HEALTH EFFECTS OF EXPOSURES IN AGRICULTUREZ01ES049030 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI SANDLER, DALE P · 1997 to 2008
$889k
Intramural NIH HHS Z01 CP010119Intramural NIH HHS Z01 ES049030NCI NIH HHS 1U24CA248454-01NCI NIH HHS U24 CA248454NCI NIH HHS Z01-CP010119NIEHS NIH HHS Z01-ES049030NIH HHS
6 · The paper itself

Abstract

backgroundOral microbes detected in feces have been associated with colorectal cancer (CRC) in cross-sectional studies. This study investigated the prospective associations between the oral microbiome and incident CRC in the Agricultural Health Study (AHS), National Institutes of Health-AARP (NIH-AARP) Diet and Health Study, and Prostate, Lung, Colorectal, and Ovarian (PLCO) Cancer Screening Trial.

methodsIndividuals with oral samples collected before incident CRC diagnoses were identified in the AHS (N = 331), NIH-AARP (N = 249), and PLCO (N = 446) and compared with referent subcohorts (N = 3431). The V4 region of the 16S ribosomal RNA gene was sequenced from oral wash DNA, and the data were processed with QIIME2. Hazard ratios (HRs) and 95% confidence intervals (CIs) for overall CRC and by anatomic subsite (i.e., proximal colon, distal colon, and rectum) were estimated with Cox proportional hazards models with adjustment for potential confounders by cohort and then meta-analyzed.

resultsOverall, no associations were found between microbial characteristics and CRC risk. However, associations were observed with alpha and beta diversity indices and individual genera in analyses stratified by anatomic subsite. For instance, the presence of Olsenella was strongly positively associated with distal colon cancer risk (HR, 2.16; 95% CI, 1.59-2.95), whereas the presence of Prevotella 2 was positively associated with rectal cancer risk (HR, 1.68; 95% CI, 1.14-2.46).

conclusionsThis large study of the prospective association between the oral microbiome and CRC risk showed numerous site-specific associations, including multiple associations with distal colon and rectal cancer risk.

Indexed as

Colorectal NeoplasmsMicrobiotaMouthAgedFemaleHumansMaleMiddle AgedProspective StudiesRisk FactorsRNA, Ribosomal, 16SUnited StatesRNA, Ribosomal, 16S16S ribosomal RNA (rRNA) gene sequencing datacohort studycolorectal cancerdistal colon canceroral microbiomeproximal colon cancerrectal cancer

Identifiers

PMID40069139
PMCPMC11896928

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LicenceCC BY-NC-ND
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Registered trials

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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.