Wang Yangyang, Guo Hua, Gao Xiaoguang, Wang Jihan
School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China.
Department of Nursing, Shaanxi Provincial People's Hospital, Xi'an, China.
Front Oncol. 2021 Oct 27;11:754788. doi: 10.3389/fonc.2021.754788. eCollection 2021.
Altered human microbiome characteristic has been linked with esophageal carcinoma (ESCA), analysis of microbial profiling directly derived from ESCA tumor tissue is beneficial for studying the microbial functions in tumorigenesis and development of ESCA. In this study, we identified the intratumor microbiome signature and investigated the correlation between microbes and clinical characteristics of patients with ESCA, on the basis of data and information obtained from The Cancer Microbiome Atlas (TCMA) and The Cancer Genome Atlas (TCGA) databases. A total of 82 samples were analyzed for microbial composition at various taxonomic levels, including 40 tumor samples of esophageal squamous cell carcinoma (ESCC), 20 tumor samples of esophageal adenocarcinoma (EAD), and 22 adjacent normal samples. The results showed that the relative abundance of several microbes changed in tumors compared to their paired normal tissues, such as increased significantly while decreased in tumor samples. We also identified a microbial signature composed of ten microbes that may help in the classification of ESCC and EAD, the two subtypes of ESCA. Correlation analysis demonstrated that compositions of microbes //, //, /, , and were correlated with the clinical characteristics of ESCA patients. In summary, this study supports the feasibility of detecting intratumor microbial composition derived from tumor sequencing data, and it provides novel insights into the roles of microbiota in tumors. Ultimately, as the second genome of human body, microbiome signature analysis may help to add more information to the blueprint of human biology.
人类微生物群特征的改变与食管癌（ESCA）有关，直接对源自ESCA肿瘤组织的微生物谱进行分析，有助于研究微生物在ESCA发生发展中的作用。在本研究中，我们基于从癌症微生物组图谱（TCMA）和癌症基因组图谱（TCGA）数据库获得的数据和信息，确定了肿瘤内微生物组特征，并研究了微生物与ESCA患者临床特征之间的相关性。共对82个样本在不同分类水平上进行了微生物组成分析，包括40例食管鳞状细胞癌（ESCC）肿瘤样本、20例食管腺癌（EAD）肿瘤样本和22例相邻正常样本。结果显示，与配对的正常组织相比，肿瘤中几种微生物的相对丰度发生了变化，例如在肿瘤样本中显著增加而减少。我们还确定了由十种微生物组成的微生物特征，这可能有助于ESCA的两种亚型ESCC和EAD的分类。相关性分析表明，微生物//、//、/、和的组成与ESCA患者的临床特征相关。总之，本研究支持从肿瘤测序数据中检测肿瘤内微生物组成的可行性，并为微生物群在肿瘤中的作用提供了新的见解。最终，作为人体的第二个基因组，微生物组特征分析可能有助于为人类生物学蓝图增添更多信息。
