Wang Xiaogang, Zheng Yaojun, Chen Xiang, Peng Chen, Zhou Shizhen, Shen Sunan, Zhao Shuli, Wang Tingting
The State Key Laboratory of Pharmaceutical Biotechnology, Division of Immunology, Medical School, Nanjing University, Nanjing, China.
Jiangsu Key Laboratory of Molecular Medicine, Division of Immunology, Medical School, Nanjing University, Nanjing, China.
Front Microbiol. 2023 Aug 24;14:1231354. doi: 10.3389/fmicb.2023.1231354. eCollection 2023.
The development of ovarian cancer is closely related to various factors, such as environmental, genetic and microbiological factors. In previous research, bacteria were identified in human tumors by 16S rRNA sequencing. However, the microbial biomass in tumor tissue is too low and cannot be accurately identified by 16S rRNA sequencing. In our study, we employ 2bRAD sequencing for Microbiome (2bRAD-M), a new sequencing technology capable of accurately characterizing the low biomass microbiome (bacteria, fungi and archaea) at species resolution. Here we surveyed 20 ovarian samples, including 10 ovarian cancer samples and 10 benign ovarian samples. The sequencing results showed that a total of 373 microbial species were identified in both two groups, of which 90 species shared in the two groups. The Meta statistic indicated that and were increased in the ovarian cancer tissues, while , , , , , , , , , and were more abundant in the benign ovarian tissues. This is the first use of 2bRAD-M technique to provide an important hint for better understanding of the ovarian cancer microbiome.
卵巢癌的发生与多种因素密切相关，如环境、遗传和微生物因素。在以往的研究中，通过16S rRNA测序在人类肿瘤中鉴定出了细菌。然而，肿瘤组织中的微生物生物量过低，无法通过16S rRNA测序准确鉴定。在我们的研究中，我们采用了用于微生物组的2bRAD测序技术（2bRAD-M），这是一种能够在物种分辨率下准确表征低生物量微生物组（细菌、真菌和古菌）的新测序技术。在这里，我们调查了20个卵巢样本，包括10个卵巢癌样本和10个良性卵巢样本。测序结果显示，两组共鉴定出373种微生物，其中两组共有90种。Meta统计表明，卵巢癌组织中 和 增加，而良性卵巢组织中 、 、 、 、 、 、 、 、 和 更为丰富。这是首次使用2bRAD-M技术，为更好地了解卵巢癌微生物组提供了重要线索。
