许多癌症类型与其所在的微生物群落存在显著关联，新兴证据表明乳腺癌也与局部组织相关的微生物群落相互作用。微生物组研究发展迅速，分析流程和数据库经常更新。这种动态环境使得比较评估具有挑战性。在这里，我们结合了所有与乳腺癌和乳房微生物组相关的公开研究，配合该领域的快速进展来进行综述分析。根据α多样性、β多样性、比例丰度和统计分析，我们观察到我们现代分析方法和原始发现之间存在差异。通过丰度分析，我们能够对样本进行分类和识别额外的分类单元，并识别出以前未被发现的统计显著分类单元。在我们的更新分析中，与原始研究结果相比，被识别为统计显著的分类单元更多。在Hieken等人的《无菌采集的人类乳腺组织中的微生物组学研究（良性和恶性疾病）》的重新分析中，在乳腺组织微生物群落中鉴定出12个统计学上显著不同富集的分类单元，分别代表良性和浸润性癌症疾病状态。在Urbaniak等人的《乳腺组织的微生物群落及其与乳腺癌的关联》的重新分析中，鉴定出18个统计学上显著的分类单元。在Chan等人的《乳腺癌幸存者奶头抽取液的微生物组学研究》的重新分析中，在皮肤和液体样本中鉴定出3个统计学上显著的属级分类单元。我们的工作发现，对于微生物组学研究，特别是旧的16S研究，需要重新分析。通过我们的重新分析，我们跨研究对分类门和属进行了更多的分类和识别，这支持了重新分析为微生物组领域提供新的见解，并通过使用新的和更新的工具和数据库来评估先前发表的结果的稳健性的观点。版权：© 2023 Sohail, Burns.本文为开放获取文章，根据知识共享署名许可协议，允许在任何媒体上进行无限制使用、分发和复制，前提是原始作者和出处得到了相应的认可。

Many cancer types have significant associations with their resident microbial communities-emerging evidence suggests that breast cancers also interact with the local tissue-associated microbiota. Microbiome research advances rapidly and analysis pipelines and databases are updated frequently. This dynamic environment makes comparative evaluations challenging. Here, we have integrated all publicly available studies related to breast cancer and the mammary microbiome in light of advances in this rapidly progressing field. Based on alpha diversity, beta diversity, proportional abundance, and statistical analyses, we observed differences between our modern analytical approaches and the original findings. We were able to classify and identify additional taxa across samples through abundance analyses and identify previously unidentified statistically significant taxa. In our updated analyses there were more taxa identified as statistically significant in comparison to the original studies' results. In the re-analysis for The Microbiome of Aseptically Collected Human Breast Tissue in Benign and Malignant Disease by Hieken et al., there were twelve statistically significant differentially abundant taxa identified in breast tissue microbiota in benign and invasive cancer disease states. In the re-analysis for The Microbiota of Breast Tissue and Its Association with Breast Cancer by Urbaniak et al., there were 18 taxa identified as statistically significant. In the re-analysis for Characterization of the microbiome of nipple aspirate fluid of breast cancer survivors by Chan et al., there were three genera identified as statistically significant in the skin and fluid samples. Our work has discovered that reanalyses are necessary for microbiome studies, especially older 16S studies. Through our re-analysis, we classified and identified more phyla and genera across studies, which supports the notion that reanalyses provide new insights to the microbiome field and help to assess robusticity of previously published findings by using new and updated tools and databases.Copyright: © 2023 Sohail, Burns. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.