Uncovering the microbiota in renal cell carcinoma tissue using 16S rRNA gene sequencing
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ORIGINAL ARTICLE – CANCER RESEARCH
Uncovering the microbiota in renal cell carcinoma tissue using 16S rRNA gene sequencing Junpeng Wang1 · Xin Li2,3 · Xiaoqiang Wu1 · Zhiwei Wang1 · Chan Zhang1 · Guanghui Cao1 · Kangdong Liu2,3 · Tianzhong Yan1 Received: 1 June 2020 / Accepted: 7 November 2020 © Springer-Verlag GmbH Germany, part of Springer Nature 2020
Abstract Introduction Increasing 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 methods Paired 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. Results Decreased 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
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