1309 .不同的微生物富集与口腔癌和神经周围浸润有关

August Culbert, A. Chow, Raad Gharaibah, Naseer Sangwan, M. Dwidar, Rachel C. Newsome, Jin Dai, Siming Ma, Kristianna M Fredenburg, E. Yilmaz, S. Koyfman, Daniel McGrail, J. Ku, C. Jobin, N. Silver
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引用次数: 0

摘要

背景:晚期口腔鳞状细胞癌(OSCC)是一种侵袭性疾病,5年总生存率低于50%。虽然吸烟和酒精是最确定的危险因素,但越来越多的证据表明口腔微生物组在促进OSCC免疫抑制状态中的作用。2-6本研究的目的是评估晚期OSCC患者口腔细菌的分类特征及其与临床病理特征的相关性。在手术和快速冷冻时,从肿瘤和配对的邻近正常组织中提取样本。收集人口统计学、临床和病理资料。从51份样本中分离DNA,对配对样本进行16s rRNA基因V1-V3区PCR扩增后,进行16s rRNA基因测序。16S rRNA序列使用DADA2处理,QIIME2软件包实现,以Human Oral Microbiome database V15.22作为参考数据库,使用RDA分类器进行分类。使用DADA2进行测序读取处理、去噪、去复制、嵌合体过滤和扩增子序列变异(asv)的生成。使用R软件评估临床病理因素与细菌谱之间的关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
1309 Differential microbial enrichment is associated with oral cancer and perineural invasion
Background Advanced oral cavity squamous cell carcinoma (OSCC) is an aggressive disease, with 5-year overall survival rates below 50%. 1 While smoking and alcohol are the most established risk factors, there is growing evidence implicating the role of the oral microbiome in promoting immunosuppres-sive states in OSCC. 2-6 The objective of this study was to evaluate the taxonomic profile of oral bacteria in advanced OSCC patients and correlate with clinicopathologic features. approved this study of patients diagnosed with treated from Samples were taken from tumor and paired adjacent normal tissues at the time of surgery and snap frozen. Demographics, clinical and pathologic information was collected. DNA from 51 samples was isolated and 16s rRNA gene sequencing was performed after PCR amplification of the V1-V3 regions of the 16s rRNA gene for paired samples. 16S rRNA sequences were processed using DADA2, implemented in QIIME2 package, and taxonomic assignments were made using RDA classifier using the Human Oral Microbiome Data-base V15.22 as the reference database. Sequencing reads proc-essing, denoising, dereplicating, chimeras filtering, and amplicon sequence variants (ASVs) generation was done using DADA2. The association between clinicopathological factors and bacterial profiles was evaluated using R Software.
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