Abstract：
Introduction. Multiple reports have attempted to describe the tumour microbiota in head and neck cancer (HNSC).Gap statement. However, these have failed to produce a consistent microbiota signature, which may undermine understanding the importance of bacterial-mediated effects in HNSC.Aim. The aim of this study is to consolidate these datasets and identify a consensus microbiota signature in HNSC.Methodology. We analysed 12 published HNSC 16S rRNA microbial datasets collected from cancer, cancer-adjacent and non-cancer tissues to generate a consensus microbiota signature. These signatures were then validated using The Cancer Microbiome Atlas (TCMA) database and correlated with the tumour microenvironment phenotypes and patient\'s clinical outcome.Results. We identified a consensus microbial signature at the genus level to differentiate between HNSC sample types, with cancer and cancer-adjacent tissues sharing more similarity than non-cancer tissues. Univariate analysis on 16S rRNA datasets identified significant differences in the abundance of 34 bacterial genera among the tissue types. Paired cancer and cancer-adjacent tissue analyses in 16S rRNA and TCMA datasets identified increased abundance in Fusobacterium in cancer tissues and decreased abundance of Atopobium, Rothia and Actinomyces in cancer-adjacent tissues. Furthermore, these bacteria were associated with different tumour microenvironment phenotypes. Notably, high Fusobacterium signature was associated with high neutrophil (r=0.37, P<0.0001), angiogenesis (r=0.38, P<0.0001) and granulocyte signatures (r=0.38, P<0.0001) and better overall patient survival [continuous: HR 0.8482, 95 % confidence interval (CI) 0.7758-0.9273, P=0.0003].Conclusion. Our meta-analysis demonstrates a consensus microbiota signature for HNSC, highlighting its potential importance in this disease.
摘要：
Introduction.多篇报道试图描述头颈癌（HNSC）中的肿瘤微生物群。差距声明。然而,这些未能产生一致的微生物群特征，这可能会破坏理解细菌介导的作用在HNSC中的重要性。瞄准.这项研究的目的是巩固这些数据集并确定HNSC中的共识微生物群特征。方法论。我们分析了从癌症中收集的12个已发表的HNSC16SrRNA微生物数据集，癌旁组织和非癌组织，以产生一致的微生物群特征。然后使用癌症微生物图谱（TCMA）数据库验证这些特征，并将其与肿瘤微环境表型和患者的临床结果相关联。结果。我们确定了属水平的共有微生物特征，以区分HNSC样品类型，癌症和癌旁组织比非癌症组织共享更多的相似性。对16SrRNA数据集的单变量分析确定了组织类型之间34个细菌属的丰度的显着差异。16SrRNA和TCMA数据集中的配对癌症和癌旁组织分析确定了癌组织中梭杆菌的丰度增加和Atobobium的丰度减少。癌旁组织中的Rothia和放线菌。此外，这些细菌与不同的肿瘤微环境表型相关。值得注意的是,高梭菌特征与高中性粒细胞相关(r=0.37,P<0.0001),血管生成（r=0.38，P<0.0001）和粒细胞特征（r=0.38，P<0.0001）以及更好的患者总生存期[连续：HR0.8482，95％置信区间（CI）0.7758-0.9273，P=0.0003]。结论。我们的荟萃分析证明了HNSC的一致微生物群特征，强调其在这种疾病中的潜在重要性。
