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非小细胞肺癌微生物组特征:肿瘤组织中肠细菌和潜在致病菌的流行情况。

Non-small cell lung cancer microbiota characterization: Prevalence of enteric and potentially pathogenic bacteria in cancer tissues.

机构信息

Centre de Recherche de l'institut Universitaire de Cardiologie et de Pneumologie de Québec, Quebec City (QC), Canada.

Département de Biologie Moléculaire, Biochimie Médicale et Pathologie, Université Laval, Quebec City (QC), Canada.

出版信息

PLoS One. 2021 Apr 23;16(4):e0249832. doi: 10.1371/journal.pone.0249832. eCollection 2021.

Abstract

Following recent findings linking the human gut microbiota to gastrointestinal cancer and its treatment, the plausible relationship between lung microbiota and pulmonary cancer is explored. This study aims at characterizing the intratumoral and adjacent healthy tissue microbiota by applying a 16S rRNA gene amplicon sequencing protocol to tissue samples of 29 non-small cancer patients. Emphasis was put on contaminant management and a comprehensive comparison of bacterial composition between cancerous and healthy adjacent tissues of lung adenocarcinoma and squamous cell carcinoma is provided. A variable degree of similarity between the two tissues of a same patient was observed. Each patient seems to possess its own bacterial signature. The two types of cancer tissue do not have a distinct bacterial profile that is shared by every patient. In addition, enteric, potentially pathogenic and pro-inflammatory bacteria were more frequently found in cancer than healthy tissue. This work brings insights into the dynamic of bacterial communities in lung cancer and provides prospective data for more targeted studies.

摘要

最近的研究发现,人类肠道微生物群与胃肠道癌症及其治疗有关,因此探索了肺部微生物群与肺癌之间的可能关系。本研究旨在通过应用 16S rRNA 基因扩增子测序方案对 29 名非小细胞癌患者的组织样本,对肿瘤内和相邻健康组织的微生物群进行特征描述。本研究强调了污染物管理,并提供了肺腺癌和鳞状细胞癌癌组织和癌旁组织的细菌组成的全面比较。观察到同一患者的两种组织之间具有一定程度的相似性。每个患者似乎都具有自己的细菌特征。这两种类型的癌症组织没有一个独特的细菌特征,也不是每个患者都有的。此外,肠内、潜在致病性和促炎细菌在癌症组织中比在健康组织中更为常见。这项工作深入了解了肺癌中细菌群落的动态,并为更有针对性的研究提供了前瞻性数据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8c7/8064568/53ba586363d1/pone.0249832.g001.jpg

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