Signatures within esophageal microbiota with progression of esophageal squamous cell carcinoma.
Signatures within esophageal microbiota with progression of esophageal squamous cell carcinoma.
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DOI：
10.21147/j.issn.1000-9604.2020.06.09
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发表时间：
2020-12-31
期刊：
影响因子：
--
通讯作者：
Wei W
中科院分区：
文献类型：
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作者：
Li M;Shao D;Zhou J;Gu J;Qin J;Chen W;Wei W
食管鳞状细胞癌（ESCC）是世界范围内的主要恶性肿瘤之一，但目前对ESCC及其癌前病变的微生物群关注较少。从中国林州的236名参与者中获得配对食管活检和拭子标本。16S核糖体RNA基因测序数据使用微生物生态学（QIIME2）和R Studio进行处理，以评估差异。采用Wilcoxon秩和检验和Kruskal-Wallis秩和检验比较不同标本和参与群体的多样性和特征属。采用有序逻辑回归模型建立微生物预测模型。活检标本和拭子标本的微生物多样性相似，包括操作分类单位（OTU）数和Shannon指数。食管微生物群在ESCC不同病理特征间存在差异和相似性。各类群中相对丰度最高的前10个属包括：链球菌、普雷沃氏菌、韦氏菌、放线杆菌、嗜血杆菌、奈瑟菌、异普雷沃氏菌、罗氏菌、Gemella和卟啉单胞菌。链球菌属、嗜血杆菌属、奈瑟菌属和卟啉单胞菌属在疾病组中与正常对照组相比有显著差异，其中链球菌随ESCC的进展呈上升趋势，其他呈下降趋势。在所有特征属组合的模型中，仅以链球菌和奈瑟菌为模型，预测效果较理想，其曲线下面积（AUC）为0.738。食管活检和拭子标本可以得出类似的微生物特征。链球菌和奈瑟菌的联合有可能预测ESCC的进展，这需要通过大规模的前瞻性队列研究来证实。
Esophageal squamous cell carcinoma (ESCC) is one of the dominant malignances worldwide, but currently there is less focus on the microbiota with ESCC and its precancerous lesions. Paired esophageal biopsy and swab specimens were obtained from 236 participants in Linzhou, China. Data from 16S ribosomal RNA gene sequencing were processed using quantitative insights into microbial ecology (QIIME2) and R Studio to evaluate differences. The Wilcoxon rank sum test and Kruskal-Wallis rank sum test were used to compare diversity and characteristic genera by specimens and participant groups. Ordinal logistic regression model was used to build microbiol prediction model. Microbial diversity was similar between biopsy and swab specimens, including operational taxonomic unit (OTU) numbers and Shannon index. There were variations and similarities of esophageal microbiota among different pathological characteristics of ESCC. Top 10 relative abundance genera in all groups include Streptococcus, Prevotella, Veillonella, Actinobacillus, Haemophilus, Neisseria, Alloprevotella, Rothia, Gemella and Porphyromonas. Genus Streptococcus, Haemophilus, Neisseria and Porphyromonas showed significantly difference in disease groups when compared to normal control, whereas Streptococcus showed an increasing tendency with the progression of ESCC and others showed a decreasing tendency. About models based on all combinations of characteristic genera, only taken Streptococcus and Neisseria into model, the prediction performance was the ideal one, of which the area under the curve (AUC) was 0.738. Esophageal biopsy and swab specimens could yield similar microbial characterization. The combination of Streptococcus and Neisseria has the potential to predict the progression of ESCC, which is needed to confirm by large-scale, prospective cohort studies.