Natural Science Division, Pepperdine University, Malibu, California, USA.
Susan G. Komen Tissue Bank at the IU Simon Comprehensive Cancer Center, Indianapolis, Indiana, USA.
mSystems. 2022 Jun 28;7(3):e0148921. doi: 10.1128/msystems.01489-21. Epub 2022 Jun 1.
Microbiota studies have reported changes in the microbial composition of the breast upon cancer development. However, results are inconsistent and limited to the later phases of cancer development (after diagnosis). We analyzed and compared the resident bacterial taxa of histologically normal breast tissue (healthy, H, = 49) with those of tissues donated prior to (prediagnostic, PD, = 15) and after (adjacent normal, AN, = 49, and tumor, T, = 46) breast cancer diagnosis ( total = 159). DNA was isolated from tissue samples and submitted for Illumina MiSeq paired-end sequencing of the V3-V4 region of the 16S gene. To infer bacterial function in breast cancer, we predicted the functional bacteriome from the 16S sequencing data using PICRUSt2. Bacterial compositional analysis revealed an intermediary taxonomic signature in the PD tissue relative to that of the H tissue, represented by shifts in , , , , and . This compositional signature was enhanced in the AN and T tissues. We also identified significant metabolic reprogramming of the microbiota of the PD, AN, and T tissue compared with the H tissue. Further, preliminary correlation analysis between host transcriptome profiling and microbial taxa and genes in H and PD tissues identified altered associations between the human host and mammary microbiota in PD tissue compared with H tissue. These findings suggest that compositional shifts in bacterial abundance and metabolic reprogramming of the breast tissue microbiota are early events in breast cancer development that are potentially linked with cancer susceptibility. The goal of this study was to determine the role of resident breast tissue bacteria in breast cancer development. We analyzed breast tissue bacteria in healthy breast tissue and breast tissue donated prior to (precancerous) and after (postcancerous) breast cancer diagnosis. Compared to healthy tissue, the precancerous and postcancerous breast tissues demonstrated differences in the amounts of breast tissue bacteria. In addition, breast tissue bacteria exhibit different functions in pre-cancerous and post-cancerous breast tissues relative to healthy tissue. These differences in function are further emphasized by altered associations of the breast tissue bacteria with gene expression in the human host prior to cancer development. Collectively, these analyses identified shifts in bacterial abundance and metabolic function (dysbiosis) prior to breast tumor diagnosis. This dysbiosis may serve as a therapeutic target in breast cancer prevention.
微生物组研究报告称,在癌症发展过程中,乳房的微生物组成发生了变化。然而,结果不一致,且仅限于癌症发展的后期阶段(诊断后)。我们分析并比较了组织学正常乳房组织(健康,H,= 49)与诊断前(预诊断,PD,= 15)和诊断后(邻近正常,AN,= 49 和肿瘤,T,= 46)乳房组织中常驻细菌分类群。从组织样本中提取 DNA,并进行 Illumina MiSeq 配对末端测序,以获得 16S 基因的 V3-V4 区。为了推断乳腺癌中的细菌功能,我们使用 PICRUSt2 从 16S 测序数据中预测了功能细菌组。细菌组成分析显示,PD 组织相对于 H 组织的分类特征处于中间状态,这表现为 shifts in 、、、 和 。这种组成特征在 AN 和 T 组织中得到了增强。我们还发现 PD、AN 和 T 组织的微生物群与 H 组织相比发生了显著的代谢重编程。此外,对 H 和 PD 组织中宿主转录组谱和微生物分类群和基因之间的初步相关分析表明,与 H 组织相比,PD 组织中宿主与乳腺微生物群之间的关联发生了改变。这些发现表明,乳腺组织微生物群中细菌丰度的组成变化和代谢重编程是乳腺癌发展的早期事件,可能与癌症易感性有关。本研究的目的是确定常驻乳腺组织细菌在乳腺癌发展中的作用。我们分析了健康乳房组织以及乳腺癌诊断前(癌前)和诊断后(癌后)捐赠的乳房组织中的细菌。与健康组织相比,癌前和癌后乳房组织中的乳腺组织细菌数量存在差异。此外,与健康组织相比,癌前和癌后乳房组织中的乳腺组织细菌表现出不同的功能。在癌症发生之前,这些功能的改变进一步强调了乳腺组织细菌与人类宿主基因表达之间关联的改变。总的来说,这些分析在乳腺肿瘤诊断之前确定了细菌丰度和代谢功能(失调)的变化。这种失调可能成为乳腺癌预防的治疗靶点。