Department of Ecological and Biological Sciences (DEB), Tuscia University, Largo dell'Università, 01100, Viterbo, Italy.
Fondazione Policlinico Universitario A.Gemelli IRCCS, Largo Agostino Gemelli 8, 00168, Rome, Italy.
Sci Rep. 2018 Nov 15;8(1):16893. doi: 10.1038/s41598-018-35329-z.
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.
乳房微生物组的组成尚不清楚,最近有一些报告开始探讨乳腺组织失调与癌症之间的相关性。鉴于目前已经使用了各种方法来检测乳腺微生物组,本研究旨在明确 16S-rRNA 基因的哪个高变区(V2、V3、V4、V6+7、V8 和 V9)对乳腺组织微生物组最具信息量。通过对比核心针活检(CNB)和手术切除活检(SEB),我们找到了一种更微创的取样方式,这有助于分析更大的统计人群,并有可能用于诊断性乳腺组织微生物组分析。此外,本研究首次分析了地中海人群的肿瘤和配对正常组织中的乳腺微生物组。我们的研究结果表明,V3 区是最能反映乳腺组织微生物组的区域,占所有读数的 45%。在总读数和操作分类单元(OTU)数量方面,CNB 和 SEB 标本之间没有显著差异。此外,我们发现肿瘤和相邻正常组织之间存在更多的相似之处而非差异。最后,我们发现与乳腺组织相关的是 Ralstonia 属。