Evidence map›Paper›PMID 30442969›Full record

ArticleScientific reports2018

Characterization of human breast tissue microbiota from core needle biopsies through the analysis of multi hypervariable 16S-rRNA gene regions.

Lara Costantini, Stefano Magno, Davide Albanese, Claudio Donati, Romina Molinari, Alessio Filippone, Riccardo Masetti, Nicolò Merendino

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 89 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
89citing papers in PubMed, 3 pooled it
4.3field-weighted citation impact, top 5% 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.

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

89 citing papers in PubMed, 3 syntheses or guidelines pooled it, 140 citations in OpenAlex.

  1. Pooled it
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  12. Microbiota relationship between breast, colorectal, and lung cancer types.Medical oncology (Northwood, London, England) · 2025
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  16. Mammary Gland Microbiota in Benign Breast Diseases.International journal of molecular sciences · 2025
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29 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

8 authors at 4 institutions in 1 country.

Lara CostantiniDepartment of Ecological and Biological Sciences (DEB), Tuscia University, Largo dell'Università, 01100, Viterbo, Italy. lara.cost@libero.it.ORCID http://orcid.org/0000-0001-9147-9755
Stefano MagnoFondazione Policlinico Universitario A.Gemelli IRCCS, Largo Agostino Gemelli 8, 00168, Rome, Italy.
Davide AlbaneseComputational Biology Unit, Research and Innovation Centre, Fondazione Edmund Mach, Via E. Mach 1, 38010, S. Michele all'Adige, Italy.ORCID http://orcid.org/0000-0002-9493-3850
Claudio DonatiComputational Biology Unit, Research and Innovation Centre, Fondazione Edmund Mach, Via E. Mach 1, 38010, S. Michele all'Adige, Italy.
Romina MolinariDepartment of Ecological and Biological Sciences (DEB), Tuscia University, Largo dell'Università, 01100, Viterbo, Italy.ORCID http://orcid.org/0000-0003-4164-6564
Alessio FilipponeFondazione Policlinico Universitario A.Gemelli IRCCS, Largo Agostino Gemelli 8, 00168, Rome, Italy.
Riccardo MasettiFondazione Policlinico Universitario A.Gemelli IRCCS, Largo Agostino Gemelli 8, 00168, Rome, Italy.
Nicolò MerendinoDepartment of Ecological and Biological Sciences (DEB), Tuscia University, Largo dell'Università, 01100, Viterbo, Italy.
Università degli Studi della Tuscia · ITAgostino Gemelli University Polyclinic · ITFondazione Edmund Mach · ITUniversità Cattolica del Sacro Cuore · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast microbiota compositions are not well understood, and a few recent reports have begun to explore the correlation between breast tissue dysbiosis and cancer. Given that various methods for breast microbiota detection were used, the aim of the present paper was to clarify which hypervariable region of the 16S-rRNA gene (V2, V3, V4, V6 + 7, V8, and V9) is the most informative for breast tissue microbiota. Core needle biopsies (CNBs) were compared with surgical excision biopsies (SEBs) to find a less invasive form of recovery useful for the analysis of a larger statistical population and potentially for diagnostic use of breast tissue microbiota. Finally, this study was the first to analyse the breast microbiota of tumours and paired normal tissues of a Mediterranean population. Our findings showed that the V3 region is the most informative for breast tissue microbiota, accounting for 45% of all reads. No significant differences were found between CNB and SEB specimens in terms of total reads and numbers of Operational Taxonomic Units (OTUs). Moreover, we find that more similarities than differences exist between tumours and adjacent normal tissues. Finally, the presence of the Ralstonia genus is associated with breast tissue.

Indexed as

AgedBiodiversityBiopsy, Large-Core NeedleBreastHumansMicrobiotaMiddle AgedPhylogenyRNA, Ribosomal, 16SRNA, Ribosomal, 16S

Identifiers

PMID30442969
PMCPMC6237987
OpenAlexW2899973763

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.