Evidence map›Paper›PMID 42866017›Full record

ArticleJournal of oral microbiology2026

Oral microbiome and postmenopausal breast cancer risk: findings from the NIH-AARP diet and health study.

Giovanny Herrera, Xing Hua, Zeni Wu, Linda M Liao, Yunhu Wan, Casey L Dagnall, Kristine Jones, Belynda D Hicks, Amy Hutchinson, Mitchell H Gail and 4 more

Abstract read
In one paragraph

Article in Journal of oral microbiology, 2026. 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

14 authors.

Giovanny HerreraDivision of Cancer Epidemiology & Genetics, National Institutes of Health, Bethesda, MD, USA.ORCID https://orcid.org/0000-0002-1395-4466
Xing HuaDivision of Cancer Epidemiology & Genetics, National Institutes of Health, Bethesda, MD, USA.
Zeni WuSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.ORCID https://orcid.org/0000-0002-1874-2649
Linda M LiaoDivision of Cancer Epidemiology & Genetics, National Institutes of Health, Bethesda, MD, USA.
Yunhu WanDivision of Cancer Epidemiology & Genetics, National Institutes of Health, Bethesda, MD, USA.
Casey L DagnallDivision of Cancer Epidemiology & Genetics, National Institutes of Health, Bethesda, MD, USA.
Kristine JonesDivision of Cancer Epidemiology & Genetics, National Institutes of Health, Bethesda, MD, USA.
Belynda D HicksDivision of Cancer Epidemiology & Genetics, National Institutes of Health, Bethesda, MD, USA.
Amy HutchinsonDivision of Cancer Epidemiology & Genetics, National Institutes of Health, Bethesda, MD, USA.
Mitchell H GailDivision of Cancer Epidemiology & Genetics, National Institutes of Health, Bethesda, MD, USA.ORCID https://orcid.org/0000-0002-3919-3263
Jianxin ShiDivision of Cancer Epidemiology & Genetics, National Institutes of Health, Bethesda, MD, USA.ORCID https://orcid.org/0000-0001-8606-4707
Gretchen L GierachDivision of Cancer Epidemiology & Genetics, National Institutes of Health, Bethesda, MD, USA.ORCID https://orcid.org/0000-0002-0165-5522
Rashmi SinhaDivision of Cancer Epidemiology & Genetics, National Institutes of Health, Bethesda, MD, USA.ORCID https://orcid.org/0000-0002-2466-7462
Emily VogtmannDivision of Cancer Epidemiology & Genetics, National Institutes of Health, Bethesda, MD, USA.ORCID https://orcid.org/0000-0003-1355-5593

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Breast cancer is the most frequently diagnosed cancer among women worldwide. Some case-control studies have reported associations between the oral microbiome and breast cancer, but the temporality of the association remains unclear. Therefore, we examined this association prospectively in the NIH-AARP Diet and Health Study. Methods: In 2005, oral wash samples were collected from a subset of the NIH-AARP cohort. We identified 318 women who developed breast cancer after collection and 318 controls, incidence-density matched on age at collection, race/ethnicity and smoking. DNA was extracted using the DNeasy PowerSoil Pro Kit, followed by shotgun metagenomic sequencing. Conditional logistic regression was used to calculate the odds ratios (OR) for associations between alpha- and beta-diversity and species- and gene-level metrics with breast cancer risk, adjusting for potential confounders. Results: Cases developed breast cancer on average 3.4 years after sample collection. Overall, the majority of the microbial metrics, including species and genes, showed largely null associations with the exception of Pielou's evenness (OR = 0.82; 95% CI = 0.70-0.95). When stratified by time to diagnosis, the inverse association with Pielou's evenness was only detected among women diagnosed within 2 years (29% of cases). In this subgroup, some previously reported associations, like the inverse association with the presence of Conclusions: The oral microbiome was generally not prospectively associated with postmenopausal breast cancer in a US population and results suggested previous findings may reflect reverse causation.

Indexed as

breast cancer riskcancer epidemiologymicrobial diversityOral microbiomeprospective cohort study

Identifiers

PMID42866017
PMCPMC13656656

What OpenQuestion holds

Textmetadata
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.