Associations of fecal microbial profiles with breast cancer and nonmalignant breast disease in the Ghana Breast Health Study.


Journal

International journal of cancer
ISSN: 1097-0215
Titre abrégé: Int J Cancer
Pays: United States
ID NLM: 0042124

Informations de publication

Date de publication:
01 06 2021
Historique:
revised: 15 12 2020
received: 03 08 2020
accepted: 21 12 2020
pubmed: 19 1 2021
medline: 14 9 2021
entrez: 18 1 2021
Statut: ppublish

Résumé

The gut microbiota may play a role in breast cancer etiology by regulating hormonal, metabolic and immunologic pathways. We investigated associations of fecal bacteria with breast cancer and nonmalignant breast disease in a case-control study conducted in Ghana, a country with rising breast cancer incidence and mortality. To do this, we sequenced the V4 region of the 16S rRNA gene to characterize bacteria in fecal samples collected at the time of breast biopsy (N = 379 breast cancer cases, N = 102 nonmalignant breast disease cases, N = 414 population-based controls). We estimated associations of alpha diversity (observed amplicon sequence variants [ASVs], Shannon index, and Faith's phylogenetic diversity), beta diversity (Bray-Curtis and unweighted/weighted UniFrac distance), and the presence and relative abundance of select taxa with breast cancer and nonmalignant breast disease using multivariable unconditional polytomous logistic regression. All alpha diversity metrics were strongly, inversely associated with odds of breast cancer and for those in the highest relative to lowest tertile of observed ASVs, the odds ratio (95% confidence interval) was 0.21 (0.13-0.36; P

Identifiants

pubmed: 33460452
doi: 10.1002/ijc.33473
pmc: PMC8386185
mid: NIHMS1734316
doi:

Substances chimiques

DNA, Bacterial 0
DNA, Ribosomal 0
RNA, Ribosomal, 16S 0

Types de publication

Journal Article Research Support, N.I.H., Intramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

2712-2723

Subventions

Organisme : Intramural NIH HHS
ID : ZIA CP010126
Pays : United States

Informations de copyright

© 2021 UICC.

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Auteurs

Doratha A Byrd (DA)

Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.

Emily Vogtmann (E)

Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.

Zeni Wu (Z)

Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.

Yongli Han (Y)

Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.

Yunhu Wan (Y)

Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.

Joe-Nat Clegg-Lamptey (JN)

Korle Bu Teaching Hospital, Accra, Ghana.

Joel Yarney (J)

Korle Bu Teaching Hospital, Accra, Ghana.

Beatrice Wiafe-Addai (B)

Peace and Love Hospital, Kumasi, Ghana.

Seth Wiafe (S)

Loma Linda University, School of Public Health, Loma Linda, California, USA.

Baffour Awuah (B)

Komfo Anokye Teaching Hospital, Kumasi, Ghana.

Daniel Ansong (D)

Komfo Anokye Teaching Hospital, Kumasi, Ghana.

Kofi Nyarko (K)

University of Ghana, Accra, Ghana.

Autumn G Hullings (AG)

Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.

Xing Hua (X)

Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.

Thomas Ahearn (T)

Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.

James J Goedert (JJ)

Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.

Jianxin Shi (J)

Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.

Rob Knight (R)

Department of Pediatrics, University of California, San Diego, California, USA.

Jonine D Figueroa (JD)

Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.
Usher Institute and CRUK Edinburgh Centre, University of Edinburgh, Edinburgh, UK.

Louise A Brinton (LA)

Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.

Montserrat Garcia-Closas (M)

Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.

Rashmi Sinha (R)

Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.

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Classifications MeSH