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食管癌患者肠道微生物失调。

Dysbiosis of gut microbiota in patients with esophageal cancer.

机构信息

Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, 210009, China.

Department of Thoracic Surgery, The Affiliated Huaian Peoples NO.1 Hospital of Nanjing Medical University, Huaian, 223001, China.

出版信息

Microb Pathog. 2021 Jan;150:104709. doi: 10.1016/j.micpath.2020.104709. Epub 2020 Dec 27.

Abstract

A number of studies have identified that gut microbiota influences the development of cancer. However, there is little known about gut microbiota and esophageal cancer (EC). The aim of this study was to investigate the gut microbiota profile associated with EC. In this study, 23 patients with EC and 23 sex- and age-matched healthy controls (NC) were recruited between July 2019 and August 2019 at Huai'an First People's Hospital (Huai'an, China) and the gut microbiota was analyzed by 16S rRNA gene sequencing of fresh stool samples. We found that the microbial richness of intestinal flora in patients with EC were higher than NC, whereas evenness did not change obviously. Principal coordinate analysis (PCoA) and Unweighted Pair Group Method with Arithmetic Mean (UPGMA) analysis both revealed that a distinct separation in bacterial community composition between the EC and NC. At the phylum level, the EC group showed significantly higher abundances of Firmicutes and Actinobacteria, but a lower Bacteroidetes than NC. At the genus level, a significantly increased abundance of Streptococcus, Bifidobacterium, Subdoligranulum, Blautia, Romboutsia, Collinsella, Paeniclostridium, Dorea, and Atopobium were observed in EC patients, while Lachnospira, Bacteroides, Agathobacter, Lachnoclostridium, Parabacteroides, Paraprevotella, Butyricicoccus, Tyzzerella, Fusicatenibacter, and Sutterella were reduced. Receiver operating characteristic (ROC) analysis revealed that Lachnospira, Bacteroides, Streptococcus, and Bifidobacterium both achieved a high accuracy in EC diagnosis (area under the curve was more than 0.85), and the Lachnospira was found to be the best classifier. This study firstly characterized the gut microbiota composition of EC patients and screened out the optimal potential microbiota biomarkers for EC diagnosis. It may provide a fundamental reference for further studies on the gut microbiome for the diagnosis and treatment of EC.

摘要

一些研究已经表明肠道微生物群会影响癌症的发展。然而,对于肠道微生物群和食管癌(EC)之间的关系知之甚少。本研究旨在探究与 EC 相关的肠道微生物群特征。本研究于 2019 年 7 月至 8 月在江苏省淮安市第一人民医院(淮安)招募了 23 名 EC 患者和 23 名性别和年龄匹配的健康对照者(NC),并通过 16S rRNA 基因测序对新鲜粪便样本进行了肠道微生物组分析。我们发现,EC 患者肠道菌群的微生物丰富度高于 NC,而均匀度没有明显变化。主坐标分析(PCoA)和非加权配对组平均法(UPGMA)分析均表明,EC 和 NC 之间的细菌群落组成存在明显差异。在门水平上,EC 组的厚壁菌门和放线菌门丰度明显较高,而拟杆菌门丰度较低。在属水平上,EC 患者中链球菌属、双歧杆菌属、Subdoligranulum 属、Blautia 属、Romboutsia 属、Collinsella 属、Paeniclostridium 属、Dorea 属和 Atopobium 属的丰度显著增加,而lachnospira 属、拟杆菌属、Agathobacter 属、Lachnoclostridium 属、Parabacteroides 属、Paraprevotella 属、Butyricicoccus 属、Tyzzerella 属、Fusicatenibacter 属和 Sutterella 属的丰度降低。受试者工作特征(ROC)分析显示,lachnospira 属、拟杆菌属、链球菌属和双歧杆菌属在 EC 诊断中均具有较高的准确性(曲线下面积均大于 0.85),其中lachnospira 属的分类效果最佳。本研究首次对 EC 患者的肠道微生物群组成进行了特征描述,并筛选出了用于 EC 诊断的最佳潜在微生物群生物标志物。它可能为进一步研究肠道微生物组在 EC 诊断和治疗中的作用提供基础参考。

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