Dysbiosis signatures of the microbial profile in tissue from bladder cancer
Dysbiosis signatures of the microbial profile in tissue from bladder cancer
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DOI：
10.1002/cam4.2419
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发表时间：
2019-09-30
期刊：
影响因子：
4
通讯作者：
Xu, Chuanliang
中科院分区：
文献类型：
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作者：
Liu, Fei;Liu, Anwei;Xu, Chuanliang
研究目的：探讨膀胱癌实质组织的微生物谱。方法收集膀胱癌患者膀胱癌黏膜组织标本（癌组织22例，癌旁正常组织12例）。PCR扩增细菌16S rRNA基因的V3-V4区，然后在Illumina MiSeq平台上测序。进行微生物分类和功能评估的生物信息学分析，以评估膀胱微生物组的多样性和变化。结果两种组织的优势门均为变形菌门。癌组织的物种丰富度和多样性较低。β多样性在癌变组织和正常组织之间存在显著差异。在癌组织中，乳酸菌属、普雷沃菌属和瘤胃球菌科的相对丰度较低，而布鲁氏菌科的未知属铜菌属和不动杆菌属、无氧杆菌属、埃希氏志贺氏菌属、地杆菌属、Pelomonas、Ralstonia和鞘单胞菌属的相对丰度较高。这些发现表明这些属可能被潜在地用作膀胱癌的生物标志物。PICRUSt分析显示，参与有害化合物代谢的几种途径在癌组织中富集，从而提供了环境因素与膀胱癌病因密切相关的证据。结论本研究首次通过16S rRNA基因测序方法描述和分析膀胱癌实质组织中尿微生物群的生态失调基序。我们的研究结果表明，膀胱微生物组的变化可能作为膀胱癌的生物标志物，可能有助于疾病筛查和监测。
Background To examine the microbial profiles in parenchyma tissues in bladder cancer. Methods Tissue samples of cancerous bladder mucosa were collected from patients diagnosed with bladder cancer (22 carcinoma tissues and 12 adjacent normal tissues). The V3-V4 region of the bacterial 16S rRNA gene was PCR amplified, followed by sequencing on an Illumina MiSeq platform. Bioinformatics analysis for microbial classification and functional assessment was performed to assess bladder microbiome diversity and variations. Results The predominant phylum in both tissues was Proteobacteria. The cancerous tissues exhibited lower species richness and diversity. Beta diversity significantly differed between the cancerous and normal tissues. Lower relative abundances of the microbial genera Lactobacillus, Prevotella_9, as well as Ruminococcaceae were observed, whereas those of Cupriavidus spp., an unknown genus of family Brucellaceae, and Acinetobacter, Anoxybacillus, Escherichia-Shigella, Geobacillus, Pelomonas, Ralstonia, and Sphingomonas were higher in the cancerous tissues. These findings indicate that these genera may be potentially utilized as biomarkers for bladder cancer. PICRUSt analysis revealed that several pathways involved in the metabolism of harmful chemical compounds were enriched in the cancer tissues, thereby providing evidence that environmental factors are strongly associated with bladder cancer etiology. Conclusion This is the first study that has described and analyzed the dysbiotic motifs of urinary microbiota in the parenchymatous tissues of bladder cancer via 16S rRNA gene sequencing. Our results suggest that changes in the bladder microbiome may serve as biomarkers for bladder cancer, possibly assisting in disease screening and monitoring.