Exploring breast tissue microbial composition and the association with breast cancer risk factors.

Rana German, Natascia Marino, Chris Hemmerich, Ram Podicheti, Douglas B Rusch, Leah T Stiemsma, Hongyu Gao, Xiaoling Xuei, Pam Rockey, Anna Maria Storniolo
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引用次数: 2

Abstract

Background: Microbial dysbiosis has emerged as an important element in the development and progression of various cancers, including breast cancer. However, the microbial composition of the breast from healthy individuals, even relative to risk of developing breast cancer, remains unclear. Here, we performed a comprehensive analysis of the microbiota of the normal breast tissue, which was analyzed in relation to the microbial composition of the tumor and adjacent normal tissue.

Methods: The study cohorts included 403 cancer-free women (who donated normal breast tissue cores) and 76 breast cancer patients (who donated tumor and/or adjacent normal tissue samples). Microbiome profiling was obtained by sequencing the nine hypervariable regions of the 16S rRNA gene (V1V2, V2V3, V3V4, V4V5, V5V7, and V7V9). Transcriptome analysis was also performed on 190 normal breast tissue samples. Breast cancer risk score was assessed using the Tyrer-Cuzick risk model.

Results: The V1V2 amplicon sequencing resulted more suitable for the analysis of the normal breast microbiome and identified Lactobacillaceae (Firmicutes phylum), Acetobacterraceae, and Xanthomonadaceae (both Proteobacteria phylum) as the most abundant families in the normal breast. However, Ralstonia (Proteobacteria phylum) was more abundant in both breast tumors and histologically normal tissues adjacent to malignant tumors. We also conducted a correlation analysis between the microbiome and known breast cancer risk factors. Abundances of the bacterial taxa Acetotobacter aceti, Lactobacillus vini, Lactobacillus paracasei, and Xanthonomas sp. were associated with age (p < 0.0001), racial background (p < 0.0001), and parity (p < 0.0001). Finally, transcriptome analysis of normal breast tissues showed an enrichment in metabolism- and immune-related genes in the tissues with abundant Acetotobacter aceti, Lactobacillus vini, Lactobacillus paracasei, and Xanthonomas sp., whereas the presence of Ralstonia in the normal tissue was linked to dysregulation of genes involved in the carbohydrate metabolic pathway.

Conclusions: This study defines the microbial features of normal breast tissue, thus providing a basis to understand cancer-related dysbiosis. Moreover, the findings reveal that lifestyle factors can significantly affect the normal breast microbial composition.

Abstract Image

Abstract Image

Abstract Image

探讨乳腺组织微生物组成及其与乳腺癌危险因素的关系。
背景:微生物生态失调已成为包括乳腺癌在内的各种癌症发生和发展的重要因素。然而,健康个体乳房的微生物组成,甚至相对于患乳腺癌的风险,仍不清楚。在这里,我们对正常乳腺组织的微生物群进行了全面分析,并将其与肿瘤和邻近正常组织的微生物组成进行了分析。方法:研究队列包括403名无癌妇女(捐赠正常乳腺组织核心)和76名乳腺癌患者(捐赠肿瘤和/或邻近正常组织样本)。通过对16S rRNA基因的9个高变区(V1V2、V2V3、V3V4、V4V5、V5V7和V7V9)进行测序,获得微生物组图谱。对190例正常乳腺组织样本进行转录组分析。采用Tyrer-Cuzick风险模型评估乳腺癌风险评分。结果:V1V2扩增子测序结果更适合正常乳腺微生物组的分析,鉴定出正常乳腺中数量最多的是乳杆菌科(厚壁菌门)、Acetobacterraceae和Xanthomonadaceae(均为变形菌门)。然而,Ralstonia(变形菌门)在乳腺肿瘤和恶性肿瘤旁的组织学正常组织中含量更高。我们还进行了微生物组与已知乳腺癌危险因素之间的相关性分析。细菌分类群acettobacter aceti、Lactobacillus vini、Lactobacillus paracasei和Xanthonomas sp.的丰度与年龄相关(p)。结论:本研究明确了正常乳腺组织的微生物特征,从而为了解癌症相关的生态失调提供了基础。此外,研究结果表明,生活方式因素可以显著影响正常的乳房微生物组成。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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