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

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 reg...

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Autores principales: Costantini, Lara, Magno, Stefano, Albanese, Davide, Donati, Claudio, Molinari, Romina, Filippone, Alessio, Masetti, Riccardo, Merendino, Nicolò
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6237987/
https://www.ncbi.nlm.nih.gov/pubmed/30442969
http://dx.doi.org/10.1038/s41598-018-35329-z
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author Costantini, Lara
Magno, Stefano
Albanese, Davide
Donati, Claudio
Molinari, Romina
Filippone, Alessio
Masetti, Riccardo
Merendino, Nicolò
author_facet Costantini, Lara
Magno, Stefano
Albanese, Davide
Donati, Claudio
Molinari, Romina
Filippone, Alessio
Masetti, Riccardo
Merendino, Nicolò
author_sort Costantini, Lara
collection PubMed
description 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.
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spelling pubmed-62379872018-11-23 Characterization of human breast tissue microbiota from core needle biopsies through the analysis of multi hypervariable 16S-rRNA gene regions Costantini, Lara Magno, Stefano Albanese, Davide Donati, Claudio Molinari, Romina Filippone, Alessio Masetti, Riccardo Merendino, Nicolò Sci Rep Article 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. Nature Publishing Group UK 2018-11-15 /pmc/articles/PMC6237987/ /pubmed/30442969 http://dx.doi.org/10.1038/s41598-018-35329-z Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Costantini, Lara
Magno, Stefano
Albanese, Davide
Donati, Claudio
Molinari, Romina
Filippone, Alessio
Masetti, Riccardo
Merendino, Nicolò
Characterization of human breast tissue microbiota from core needle biopsies through the analysis of multi hypervariable 16S-rRNA gene regions
title Characterization of human breast tissue microbiota from core needle biopsies through the analysis of multi hypervariable 16S-rRNA gene regions
title_full Characterization of human breast tissue microbiota from core needle biopsies through the analysis of multi hypervariable 16S-rRNA gene regions
title_fullStr Characterization of human breast tissue microbiota from core needle biopsies through the analysis of multi hypervariable 16S-rRNA gene regions
title_full_unstemmed Characterization of human breast tissue microbiota from core needle biopsies through the analysis of multi hypervariable 16S-rRNA gene regions
title_short Characterization of human breast tissue microbiota from core needle biopsies through the analysis of multi hypervariable 16S-rRNA gene regions
title_sort characterization of human breast tissue microbiota from core needle biopsies through the analysis of multi hypervariable 16s-rrna gene regions
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6237987/
https://www.ncbi.nlm.nih.gov/pubmed/30442969
http://dx.doi.org/10.1038/s41598-018-35329-z
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