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首页> 外文期刊>Journal of Cancer Research and Clinical Oncology >Uncovering the microbiota in renal cell carcinoma tissue using 16S rRNA gene sequencing
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Uncovering the microbiota in renal cell carcinoma tissue using 16S rRNA gene sequencing

机译:使用16S rRNA基因测序揭示肾细胞癌组织中的微生物瘤

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IntroductionIncreasing evidence indicates an important role of microbiota in cancer development and progression, while little is known about the correlation between microbiota and renal cell carcinoma (RCC). Thus, we performed this study to profile the intratumoral microbiota possibly associated with RCC.Materials and methodsPaired RCC and adjacent normal tissue samples were collected from 24 patients with RCC. V3-V4 variable region of microbial 16S rRNA gene was sequenced using Illumina MiSeq. Sequencing reads were processed using QIIME. Differentially abundant bacterial taxa between groups were identified by LEfSe, and their potential functions were inferred by PICRUSt.ResultsDecreased species diversity was presented in RCC tissues (Simpson index, P=0.0340), and the composition of the bacterial community in RCC tissues was significantly distinct from that in normal tissues (unweighted UniFrac distance, P=0.026; weighted UniFrac distance, P=0.017). Compared with normal tissues, 25 taxa increased and 47 reduced taxa were identified in RCC tissues. Among these taxa, the class Chloroplast (AUC=0.91, P<0.0001) and the order Streptophyta (AUC=0.89, P<0.0001) showed high indication accuracy to discriminate RCC tissues from normal tissues. Furthermore, nine altered pathways were identified in RCC tissues to reveal the potential microbial function.ConclusionsOur results have uncovered the presence of distinct microbiota in RCC and adjacent normal tissues and provided a better understanding of the possible role of the intratumoral microbiota in RCC. Further studies are required to confirm our results and determine the real correlation between microbiota and RCC.
机译:引言越来越多的证据表明,微生物群在癌症的发展和进展中起着重要作用,但对微生物群与肾细胞癌(RCC)之间的相关性知之甚少。因此,我们进行了这项研究,以分析可能与RCC相关的肿瘤内微生物群。材料与方法收集24例肾细胞癌患者的肾细胞癌及癌旁正常组织标本。使用Illumina MiSeq对微生物16S rRNA基因的V3-V4可变区进行测序。使用QIIME处理测序读取。LEfSe鉴定了不同类群之间差异丰富的细菌类群,并通过PICRUSt推断了它们的潜在功能。结果肾细胞癌组织中的物种多样性降低(辛普森指数,P=0.0340),肾细胞癌组织中的细菌群落组成与正常组织中的细菌群落组成显著不同(未加权UniFrac距离,P=0.026;加权UniFrac距离,P=0.017)。与正常组织相比,肾细胞癌组织中增加了25个分类群,减少了47个分类群。在这些分类群中,叶绿体类(AUC=0.91,P<0.0001)和链状植物类(AUC=0.89,P<0.0001)在区分肾细胞癌组织和正常组织方面具有较高的指示准确性。此外,在肾细胞癌组织中发现了九条改变的途径,以揭示潜在的微生物功能。结论SOUR结果揭示了RCC和邻近正常组织中存在不同的微生物群,并为更好地理解肿瘤内微生物群在RCC中的可能作用提供了依据。需要进一步的研究来证实我们的结果,并确定微生物群与肾细胞癌之间的真正相关性。

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    Zhengzhou Univ Henan Prov Peoples Hosp Peoples Hosp Dept Urol Zhengzhou 450003 Peoples R China;

    Zhengzhou Univ Sch Basic Med Sci Dept Pathophysiol Zhengzhou 450001 Peoples R China;

    Zhengzhou Univ Henan Prov Peoples Hosp Peoples Hosp Dept Urol Zhengzhou 450003 Peoples R China;

    Zhengzhou Univ Henan Prov Peoples Hosp Peoples Hosp Dept Urol Zhengzhou 450003 Peoples R China;

    Zhengzhou Univ Henan Prov Peoples Hosp Peoples Hosp Dept Urol Zhengzhou 450003 Peoples R China;

    Zhengzhou Univ Henan Prov Peoples Hosp Peoples Hosp Dept Urol Zhengzhou 450003 Peoples R China;

    Zhengzhou Univ Sch Basic Med Sci Dept Pathophysiol Zhengzhou 450001 Peoples R China;

    Zhengzhou Univ Henan Prov Peoples Hosp Peoples Hosp Dept Urol Zhengzhou 450003 Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 肿瘤学 ;
  • 关键词

    Microbiota; Renal cell carcinoma; 16S rRNA gene sequencing; Tumor tissue; Diversity;

    机译:微生物瘤;肾细胞癌;16s rRNA基因测序;肿瘤组织;多样性;

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