Evidence map›Paper›PMID 27324944›Full record

ArticleScientific reports2016

Characterization of the microbiome of nipple aspirate fluid of breast cancer survivors.

Alfred A Chan, Mina Bashir, Magali N Rivas, Karen Duvall, Peter A Sieling, Thomas R Pieber, Parag A Vaishampayan, Susan M Love, Delphine J Lee

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03290651 (Re-setting the Breast Microbiome to Lower Inflammation and Risk of Cancer.), which is not on this map. Cited by 133 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
133citing papers in PubMed, 3 pooled it
8.5field-weighted citation impact, top 2% 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.

NCT03290651 nacompletednot on this mapstarted 2019, after this paper: background citation

Re-setting the Breast Microbiome to Lower Inflammation and Risk of Cancer.

TypeinterventionalSponsorLondon Health Sciences Centre Research Institute OR Lawson Research Institute of St. Joseph'sRan2019 to 2021Enrolled60ConditionsBreast Cancer FemaleArmsProbiotic Natural Health Product - RepHresh Pro-B, Placebo
3 · Its place in the literature

Who cites it

133 citing papers in PubMed, 3 syntheses or guidelines pooled it, 221 citations in OpenAlex.

  1. Pooled it
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  3. Pooled it
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  8. IntratumoralAnimals : an open access journal from MDPI · 2026
    Article
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  18. Article
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  20. Mammary Gland Microbiota in Benign Breast Diseases.International journal of molecular sciences · 2025
    Review

73 more citing papers are in PubMed but not listed here.

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

9 authors at 4 institutions in 2 countries.

Alfred A ChanDirks/Dougherty Laboratory for Cancer Research, Department of Translational Immunology, John Wayne Cancer Institute at Providence Saint John's Health Center, Santa Monica, CA, USA.
Mina BashirBiotechnology and Planetary Protection Group, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA.
Magali N RivasDirks/Dougherty Laboratory for Cancer Research, Department of Translational Immunology, John Wayne Cancer Institute at Providence Saint John's Health Center, Santa Monica, CA, USA.
Karen DuvallBreast Center at the University of California Los Angeles (UCLA), Westwood, Los Angeles, CA, USA.
Peter A SielingDirks/Dougherty Laboratory for Cancer Research, Department of Translational Immunology, John Wayne Cancer Institute at Providence Saint John's Health Center, Santa Monica, CA, USA.
Thomas R PieberDivision of Endocrinology and Metabolism, Medical University of Graz, Graz, Austria.
Parag A VaishampayanBiotechnology and Planetary Protection Group, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA.
Susan M LoveDr. Susan Love Research Foundation, Encino, CA, USA.
Delphine J LeeDirks/Dougherty Laboratory for Cancer Research, Department of Translational Immunology, John Wayne Cancer Institute at Providence Saint John's Health Center, Santa Monica, CA, USA.
Saint John's Health Center · USDr. Susan Love Foundation for Breast Cancer Research · USMedical University of Graz · ATJet Propulsion Laboratory · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The microbiome impacts human health and disease. Until recently, human breast tissue and milk were presumed to be sterile. Here, we investigated the presence of microbes in the nipple aspirate fluid (NAF) and their potential association with breast cancer. We compared the NAF microbiome between women with a history of breast cancer (BC) and healthy control women (HC) using 16S rRNA gene amplicon sequencing. The NAF microbiome from BC and HC showed significant differences in community composition. Two Operational Taxonomic Units (OTUs) showed differences in relative abundances between NAF collected from BC and HC. In NAF collected from BC, there was relatively higher incidence of the genus Alistipes. By contrast, an unclassified genus from the Sphingomonadaceae family was relatively more abundant in NAF from HC. These findings reflect the ductal source DNA since there were no differences between areolar skin samples collected from BC and HC. Furthermore, the microbes associated with BC share an enzymatic activity, Beta-Glucuronidase, which may promote breast cancer. This is the first report of bacterial DNA in human breast ductal fluid and the differences between NAF from HC and BC. Further investigation of the ductal microbiome and its potential role in breast cancer are warranted.

Indexed as

MicrobiotaAdultAgedBacteriaBacteroidesBreast NeoplasmsCancer SurvivorsCase-Control StudiesFemaleGlucuronidaseHumansMiddle AgedNipple Aspirate FluidRNA, Ribosomal, 16SSequence Analysis, RNASkinGlucuronidaseRNA, Ribosomal, 16S

Identifiers

PMID27324944
PMCPMC4914981
OpenAlexW2461220095

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.