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基于序列的肿瘤内细菌特征分析——最佳实践指南

Sequence-Based Characterization of Intratumoral Bacteria-A Guide to Best Practice.

作者信息

Walker Sidney P, Tangney Mark, Claesson Marcus J

机构信息

Cancer Research at UCC, University College Cork, Cork, Ireland.

SynBioCentre, University College Cork, Cork, Ireland.

出版信息

Front Oncol. 2020 Feb 21;10:179. doi: 10.3389/fonc.2020.00179. eCollection 2020.

Abstract

Tumors are hospitable environments to bacteria and several recent studies on cancer patient samples have introduced the concept of an endogenous tumor microbiome. For a variety of reasons, this putative tumor microbiome is particularly challenging to investigate, and a failure to account for the various potential pitfalls will result in erroneous results and claims. Before this potentially extremely medically-significant habitat can be accurately characterized, a clear understanding of all potential confounding factors is required, and a best-practice approach should be developed and adopted. This review summarizes all of the potential issues confounding accurate bacterial DNA sequence analysis of the putative tumor microbiome, and offers solutions based on related research with the hope of assisting in the progression of research in this field.

摘要

肿瘤是细菌的适宜生存环境,最近几项针对癌症患者样本的研究引入了内源性肿瘤微生物群的概念。由于种种原因,这种假定的肿瘤微生物群特别难以研究,如果不能考虑到各种潜在的陷阱,将导致错误的结果和论断。在能够准确描述这个可能具有极其重大医学意义的栖息地之前,需要清楚地了解所有潜在的混杂因素,并应制定和采用最佳实践方法。本综述总结了所有可能混淆假定肿瘤微生物群细菌DNA序列准确分析的潜在问题,并根据相关研究提供了解决方案,希望有助于推动该领域的研究进展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b8c4/7046755/eac0223bfb71/fonc-10-00179-g0001.jpg

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