首页|肺癌患者不同部位微生物菌群特征的比较研究

肺癌患者不同部位微生物菌群特征的比较研究

Comparative study on the characteristics of microbiota in different sites of lung cancer patients

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目的 基于16S核糖体RNA(rRNA)扩增子测序技术,比较肺癌患者肺部和口腔菌群构成差异,量化随机过程对肺癌患者肺部、口腔微生物的影响.方法 选取2022年2-9月北京大学肿瘤医院90例肺癌患者作为研究对象,收集患者的唾液样本.提取样本DNA,对细菌基因的16S rRNA V3~V4区扩增后进行测序.基于TNM分期进行不同分期(Ⅰ~ⅢA和ⅢB~Ⅳ)肺癌患者口腔菌群的多样性比较.结合研究前期已有的肺泡灌洗液(BALF)测序数据,使用R4.1.0软件进行BALF和唾液样本中菌群多样性比较、物种组成分析和相对丰度前10的属在组间的差异比较.应用中性理论模型(NCM)量化随机过程对肺癌患者肺部、口腔微生物的影响.结果 不同TNM分期肺癌患者口腔微生物菌群的多样性比较,Ⅰ~ⅢA和ⅢB~Ⅳ 2组间Chao1指数和β多样性差异有统计学意义(P<0.05),Simpson指数差异无统计学意义(P>0.05).对肺癌患者肺部和口腔微生物菌群特征进行比较,发现2种来源不同的样本在α和β多样性上差异均有统计学意义(均P<0.05).NCM估计了扩增子序列变体(ASVs)发生频率与其相对丰度变化之间的部分关系,分别在BALF、唾液和2种样本中解释了 5.7%、61.7%、41.5%的微生物群落变化.结论 不同样本类型菌群多样性不同.NCM提示随机过程对肺癌患者口腔微生物的影响更大,即口腔微生物的迁移率更高.
Objective To compare the differences in the composition of microbiota between the lung and oral cavities of lung cancer patients,and to quantify the effect of stochastic processes on the microbiota of these two sites.Methods A total of 90 lung cancer patients who were treated at Peking University Cancer Hospital&Institute between February and September 2022 were enrolled in this study.Sample DNA was extracted and sequenced after amplifying the 16S rRNA V3-V4 regions.The diversity of the oral microbiota was compared among patients with different TNM stages(Ⅰ-Ⅲ A and Ⅲ B-Ⅳ).Combined with the previous BALF sequencing data of our study,R4.1.0 software was used to compare the microbiota diversity in BALF and saliva samples,analyze the microbiota composition,and the differences in the top ten genera in relative abundance between groups.The Neutral Community Model(NCM)was applied to quantify the influence of stochastic processes on the lung and oral microbiota of lung cancer patients.Results There was no significant difference in Simpson index between group Ⅰ-Ⅲ A andⅢB-Ⅳ group(P>0.05).The Chao1 index and β-diversity showed significant differences between the Ⅰ-Ⅲ A and Ⅲ B-Ⅳ groups(P<0.05).Comparing the characteristics of lung and oral microbial microbiota in lung cancer patients,there were significant differences in αand β diversity between the two types samples from different sources(P<0.05).The NCM estimated a partial relationship between the frequency of ASVs and changes of relative abundance,explaining 5.7%,61.7%,and 41.5%of the microbial community variation in BALF,saliva,and both samples,respectively.Conclusion The results of the NCM suggest that stochastic processes have a greater impact on oral microbiota,indicating that the migration rate of oral microbiota is higher than that of lung microbiota in lung cancer patients.

Lung neoplasmOral microbiota16S rRNANeutral community model

陈佳丽、王静静、李士杰、陈勇、王长军、卓明磊

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南开大学医学院,天津 300071

北京大学肿瘤医院暨北京市肿瘤防治研究所胸部肿瘤内一科 恶性肿瘤发病机制及转化研究教育部重点实验室,北京 100142

北京大学肿瘤医院暨北京市肿瘤防治研究所内镜中心 恶性肿瘤发病机制及转化研究教育部重点实验室,北京 100142

中国人民解放军疾病预防控制中心,北京 100071

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肺肿瘤 口腔菌群 16S核糖体RNA 中性理论模型

2024

中国肿瘤临床与康复
中国癌症研究基金会

中国肿瘤临床与康复

影响因子:0.887
ISSN:1005-8664
年,卷(期):2024.31(12)