Solfisburg Quinn S, Baldini Federico, Baldwin-Hunter Brittany L, Lee Harry H, Park Heekuk, Freedberg Daniel E, Lightdale Charles J, Korem Tal, Abrams Julian A
Department of Medicine, Boston University School of Medicine, Boston, MA, USA.
Program for Mathematical Genomics, Department of Systems Biology, Columbia University Irving Medical Center, New York, NY, USA.
bioRxiv. 2023 Jun 28:2023.06.27.546733. doi: 10.1101/2023.06.27.546733.
Esophageal adenocarcinoma (EAC) is rising in incidence and associated with poor survival, and established risk factors do not explain this trend. Microbiome alterations have been associated with progression from the precursor Barrett's esophagus (BE) to EAC, yet the oral microbiome, tightly linked to the esophageal microbiome and easier to sample, has not been extensively studied in this context. We aimed to assess the relationship between the salivary microbiome and neoplastic progression in BE to identify microbiome-related factors that may drive EAC development. We collected clinical data and oral health and hygiene history and characterized the salivary microbiome from 250 patients with and without BE, including 78 with advanced neoplasia (high grade dysplasia or early adenocarcinoma). We assessed differential relative abundance of taxa by 16S rRNA gene sequencing and associations between microbiome composition and clinical features and used microbiome metabolic modeling to predict metabolite production. We found significant shifts and increased dysbiosis associated with progression to advanced neoplasia, with these associations occurring independent of tooth loss, and the largest shifts were with the genus . Microbiome metabolic models predicted significant shifts in the metabolic capacities of the salivary microbiome in patients with advanced neoplasia, including increases in L-lactic acid and decreases in butyric acid and L-tryptophan production. Our results suggest both a mechanistic and predictive role for the oral microbiome in esophageal adenocarcinoma. Further work is warranted to identify the biological significance of these alterations, to validate metabolic shifts, and to determine whether they represent viable therapeutic targets for prevention of progression in BE.
食管腺癌(EAC)的发病率正在上升,且与生存率低相关,已确定的风险因素并不能解释这一趋势。微生物群改变与从癌前病变巴雷特食管(BE)进展为EAC有关,但与食管微生物群紧密相连且更易取样的口腔微生物群,在此背景下尚未得到广泛研究。我们旨在评估唾液微生物群与BE中肿瘤进展之间的关系,以确定可能推动EAC发展的微生物群相关因素。我们收集了临床数据以及口腔健康和卫生史,并对250例有或无BE的患者的唾液微生物群进行了特征分析,其中包括78例患有高级别瘤变(高级别异型增生或早期腺癌)的患者。我们通过16S rRNA基因测序评估了分类群的差异相对丰度,以及微生物群组成与临床特征之间的关联,并使用微生物群代谢模型预测代谢物的产生。我们发现,与进展为高级别瘤变相关的显著变化和失调增加,这些关联独立于牙齿缺失而发生,最大的变化发生在属水平。微生物群代谢模型预测,患有高级别瘤变的患者唾液微生物群的代谢能力发生了显著变化,包括L-乳酸增加,丁酸和L-色氨酸产生减少。我们的结果表明口腔微生物群在食管腺癌中具有机制性和预测性作用。有必要进一步开展工作,以确定这些改变的生物学意义,验证代谢变化,并确定它们是否代表预防BE进展的可行治疗靶点。