Bacteriome

细菌组
  • 文章类型: Journal Article
    在过去的十年中,流行病学研究激增,这些研究探索了口腔微生物组和口腔癌之间的关系。由于公布数据的多样性,对现有证据进行全面系统的概述至关重要.这篇综述总结了关于口腔癌口腔微生物组的宏基因组研究的最新证据。在Medline和Embase数据库中进行了系统搜索,以确定原始研究,以检查口腔癌病例和对照的口腔微生物组的差异。总共确定了26项研究,这些研究报告了口腔鳞状细胞癌(OSCC)和对照组之间的微生物丰度差异。尽管几乎所有的研究都确定微生物菌群失调与口腔癌有关,详细的定性分析没有揭示在整个研究中OSCC样本中是否存在或存在可持续富集的单个细菌或聚生体.有趣的是,很少有研究报道牙周病分类群激增,尤其是梭菌,而其他人则表现出共生类群链球菌的消耗。可以在用于设计研究以及报告微生物数据的参数中识别出相当大的异质性。如果未来需要翻译微生物组数据,以补充口腔癌的诊断和预后的临床参数,结合临床变量的进一步研究,足够的统计能力,可重复的方法,和模型是必需的。
    The past decade has witnessed a surge in epidemiological studies that have explored the relationship between the oral microbiome and oral cancer. Owing to the diversity of the published data, a comprehensive systematic overview of the currently available evidence is critical. This review summarises the current evidence on the metagenomic studies on the oral microbiome in oral cancer. A systematic search was conducted in Medline and Embase databases to identify original studies examining the differences in the oral microbiome of oral cancer cases and controls. A total of twenty-six studies were identified that reported differences in microbial abundance between oral squamous cell carcinoma (OSCC) and controls. Although almost all the studies identified microbial dysbiosis to be associated with oral cancer, the detailed qualitative analysis did not reveal the presence/abundance of any individual bacteria or a consortium to be consistently enriched in OSCC samples across the studies. Interestingly, few studies reported a surge of periodontopathogenic taxa, especially Fusobacteria, whereas others demonstrated a depletion of commensal taxa Streptococci. Considerable heterogeneity could be identified in the parameters used for designing the studies as well as reporting the microbial data. If microbiome data needs to be translated in the future, to complement the clinical parameters for diagnosis and prognosis of oral cancer, further studies with the integration of clinical variables, adequate statistical power, reproducible methods, and models are required.
    导出

    更多引用

    收藏

    翻译标题摘要

    我要上传

       PDF(Sci-hub)

       PDF(Pubmed)

公众号