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首页> 外文期刊>Pathobiology: journal of immunopathology, molecular and cellular biology >Gastric Cancer Microbiome
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Gastric Cancer Microbiome

机译：胃癌微生物组

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Identifying a microbiome pattern in gastric cancer (GC) is hugely debatable due to the variation resulting from the diversity of the studied populations, clinical scenarios, and metagenomic approach. H. pylori remains the main microorganism impacting gastric carcinogenesis and seems necessary for the initial steps of the process. Nevertheless, an additional non-H. pylori microbiome pattern is also described, mainly at the final steps of the carcinogenesis. Unfortunately, most of the presented results are not reproducible, and there are no consensual candidates to share the H. pylori protagonists. Limitations to reach a consistent interpretation of metagenomic data include contamination along every step of the process, which might cause relevant misinterpretations. In addition, the functional consequences of an altered microbiome might be addressed. Aiming to minimize methodological bias and limitations due to small sample size and the lack of standardization of bioinformatics assessment and interpretation, we carried out a comprehensive analysis of the publicly available metagenomic data from various conditions relevant to gastric carcinogenesis. Mainly, instead of just analyzing the results of each available publication, a new approach was launched, allowing the comprehensive analysis of the total sample amount, aiming to produce a reliable interpretation due to using a significant number of samples, from different origins, in a standard protocol. Among the main results, Helicobacter and Prevotella figured in the "top 6" genera of every group. Helicobacter was the first one in chronic gastritis (CG), gastric cancer (GC), and adjacent (ADJ) groups, while Prevotella was the leader among healthy control (HC) samples. Groups of bacteria are differently abundant in each clinical situation, and bacterial metabolic pathways also diverge along the carcinogenesis cascade. This information may support future microbiome interventions aiming to face the carcinogenesis process and/or reduce GC risk.
机译：由于研究人群、临床场景和宏基因组方法的多样性导致的差异，确定胃癌（GC）中的微生物组模式存在巨大争议。幽门螺杆菌仍然是影响胃癌发生的主要微生物，在胃癌发生的最初阶段似乎是必要的。然而，另外一种非幽门螺杆菌微生物群模式也被描述，主要是在癌变的最后阶段。不幸的是，大多数呈现的结果是不可重复的，并且没有一致同意的候选人来分享幽门螺杆菌的主角。对宏基因组数据进行一致解释的局限性包括过程中的每一步都受到污染，这可能会导致相关的误解。此外，改变微生物组的功能后果可能会得到解决。为了尽量减少由于样本量小以及生物信息学评估和解释缺乏标准化而产生的方法学偏差和局限性，我们对与胃癌发生相关的各种条件下公开的宏基因组数据进行了全面分析。主要是，不只是分析每一份现有出版物的结果，而是启动了一种新的方法，允许对总样本量进行综合分析，旨在通过在标准方案中使用大量来自不同来源的样本来产生可靠的解释。在主要结果中，幽门螺杆菌和普氏杆菌在每个组的“前6”属中占有一席之地。在慢性胃炎（CG）、胃癌（GC）和邻近（ADJ）组中，幽门螺杆菌是第一位的，而在健康对照（HC）样本中，普雷沃特菌是第一位的。在每种临床情况下，细菌群的数量都有所不同，细菌代谢途径也随着致癌级联而不同。这些信息可能支持未来的微生物组干预措施，以应对致癌过程和/或降低GC风险。

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