不同的口腔相关胃微生物群和幽门螺杆菌群落导致胃癌的空间微生物异质性。

IF 5 2区 生物学 Q1 MICROBIOLOGY mSystems Pub Date : 2024-07-23 Epub Date: 2024-06-28 DOI:10.1128/msystems.00089-24
Lei Lei, Lin-Yong Zhao, Ran Cheng, Hongyu Zhang, Mengying Xia, Xiao-Long Chen, Valentin Kudriashov, Kai Liu, Wei-Han Zhang, Han Jiang, Yi Chen, Liang Zhu, Hongmei Zhou, Kun Yang, Tao Hu, Jian-Kun Hu
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引用次数: 0

摘要

胃微生物群落在胃癌(GC)中起着基础性作用,胃癌的两个主要解剖亚型(非贲门胃癌和贲门胃癌)与不同的风险因素(非贲门胃癌的幽门螺杆菌)相关。为了解读 GC 不同的微生物空间群落,我们进行了一项多中心回顾性分析,利用第三代测序技术分析了 223 名 GC 患者(包括幽门螺杆菌阳性或阴性患者、肿瘤患者和配对的邻近正常组织)的胃微生物群特征。在独立验证队列中,牙菌斑和GC肿瘤组织样本都被采集并测序。利用荧光原位杂交(FISH)检测法验证了幽门螺杆菌和口腔相关细菌在 GC 肿瘤组织和匹配的非肿瘤组织中的流行情况。我们发现,胃微生物群在 GC 上、中、下第三部位的垂直分布可能是导致 GC 肿瘤组织中微生物多样性的一个重要因素。口腔相关微生物群,包括副溃疡维龙菌(Veillonella parvula)、口腔链球菌(Streptococcus oralis)和中间普雷沃特氏菌(Prevotella intermedia),在胃癌上三分之一部位更为丰富。然而,幽门螺杆菌在 GC 下三分之一处的数量较多,并表现出明显的高度微生物相关性。在 GC 肿瘤组织的下三分之一部位,口腔相关微生物群模块与幽门螺杆菌共存。重要的是,幽门螺杆菌阴性的 GC 患者口腔相关胃微生物群的总生存率较低,而幽门螺杆菌阳性的 GC 患者微生物丰度的增加对总生存率没有影响。在独立验证阶段,牙菌斑和胃癌组织样本中副酵母菌的流行率是一致的。我们的研究表明,口腔相关物种V.parvula和S.oralis与总生存率相关。我们的研究强调了口腔相关微生物群在 GC 上三分之一区域的作用。此外,口腔相关物种可作为GC管理的非侵入性筛查工具,也是幽门螺杆菌阴性GC的独立预后因素:我们的研究强调了口腔相关微生物群在上三分之一胃癌(GC)中的作用。我们的研究表明,口腔相关菌株Veillonella parvula和口腔链球菌与总生存率相关。此外,口腔相关物种可作为胃癌管理的非侵入性筛查工具,也是幽门螺杆菌阴性胃癌的独立预后因素。
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Distinct oral-associated gastric microbiota and Helicobacter pylori communities for spatial microbial heterogeneity in gastric cancer.

The gastric microbial community plays a fundamental role in gastric cancer (GC), and the two main anatomical subtypes of GC, non-cardia and cardia GC, are associated with different risk factors (Helicobacter pylori for non-cardia GC). To decipher the different microbial spatial communities of GC, we performed a multicenter retrospective analysis to characterize the gastric microbiota in 223 GC patients, including H. pylori-positive or -negative patients, with tumors and paired adjacent normal tissues, using third-generation sequencing. In the independent validation cohort, both dental plaque and GC tumoral tissue samples were collected and sequenced. The prevalence of H. pylori and oral-associated bacteria was verified using fluorescence in situ hybridization (FISH) assays in GC tumoral tissues and matched nontumoral tissues. We found that the vertical distribution of the gastric microbiota, at the upper, middle, and lower third sites of GC, was likely an important factor causing microbial diversity in GC tumor tissues. The oral-associated microbiota cluster, which included Veillonella parvula, Streptococcus oralis, and Prevotella intermedia, was more abundant in the upper third of the GC. However, H. pylori was more abundant in the lower third of the GC and exhibited a significantly high degree of microbial correlation. The oral-associated microbiota module was co-exclusive with H. pylori in the lower third site of the GC tumoral tissue. Importantly, H. pylori-negative GC patients with oral-associated gastric microbiota showed worse overall survival, while the increase in microbial abundance in H. pylori-positive GC patients showed no difference in overall survival. The prevalence of V. parvula in both the dental plaque and GC tissue samples was concordant in the independent validation phase. We showed that the oral-associated species V. parvula and S. oralis were correlated with overall survival. Our study highlights the roles of the oral-associated microbiota in the upper third of the GC. In addition, oral-associated species may serve as noninvasive screening tools for the management of GC and an independent prognostic factor for H. pylori-negative GCs.

Importance: Our study highlights the roles of the oral-associated microbiota in the upper third of gastric cancer (GC).We showed that the oral-associated species Veillonella parvula and Streptococcus oralis were correlated with overall survival. In addition, oral-associated species may serve as noninvasive screening tools for the management of GC and an independent prognostic factor for Helicobacter pylori-negative GCs.

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来源期刊
mSystems
mSystems Biochemistry, Genetics and Molecular Biology-Biochemistry
CiteScore
10.50
自引率
3.10%
发文量
308
审稿时长
13 weeks
期刊介绍: mSystems™ will publish preeminent work that stems from applying technologies for high-throughput analyses to achieve insights into the metabolic and regulatory systems at the scale of both the single cell and microbial communities. The scope of mSystems™ encompasses all important biological and biochemical findings drawn from analyses of large data sets, as well as new computational approaches for deriving these insights. mSystems™ will welcome submissions from researchers who focus on the microbiome, genomics, metagenomics, transcriptomics, metabolomics, proteomics, glycomics, bioinformatics, and computational microbiology. mSystems™ will provide streamlined decisions, while carrying on ASM''s tradition of rigorous peer review.
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