Zhou Zhongkun, Ge Shiqiang, Li Yang, Ma Wantong, Liu Yuheng, Hu Shujian, Zhang Rentao, Ma Yunhao, Du Kangjia, Syed Ashikujaman, Chen Peng
School of Pharmacy, Lanzhou University, Lanzhou, China.
Department of Electronic Information Engineering, Lanzhou Vocational Technical College, Lanzhou, China.
Front Microbiol. 2020 Nov 19;11:596027. doi: 10.3389/fmicb.2020.596027. eCollection 2020.
Colorectal cancer (CRC) is a common clinical malignancy globally ranked as the fourth leading cause of cancer mortality. Some microbes are known to contribute to adenoma-carcinoma transition and possess diagnostic potential. Advances in high-throughput sequencing technology and functional studies have provided significant insights into the landscape of the gut microbiome and the fundamental roles of its components in carcinogenesis. Integration of scattered knowledge is highly beneficial for future progress. In this study, literature review and information extraction were performed, with the aim of integrating the available data resources and facilitating comparative research. A knowledgebase of the human CRC microbiome was compiled to facilitate understanding of diagnosis, and the global signatures of CRC microbes, sample types, algorithms, differential microorganisms and various panels of markers plus their diagnostic performance were evaluated based on statistical and phylogenetic analyses. Additionally, prospects about current changelings and solution strategies were outlined for identifying future research directions. This type of data integration strategy presents an effective platform for inquiry and comparison of relevant information, providing a tool for further study about CRC-related microbes and exploration of factors promoting clinical transformation (available at: http://gsbios.com/index/experimental/dts_ mben?id=1).
结直肠癌(CRC)是一种常见的临床恶性肿瘤,在全球癌症死亡率中排名第四。已知一些微生物会促进腺瘤-癌转变,并具有诊断潜力。高通量测序技术和功能研究的进展为肠道微生物群的格局及其组成部分在致癌过程中的基本作用提供了重要见解。整合零散的知识对未来的进展非常有益。在本研究中,进行了文献综述和信息提取,目的是整合现有的数据资源并促进比较研究。编制了人类CRC微生物组知识库,以促进对诊断的理解,并基于统计和系统发育分析评估了CRC微生物的全球特征、样本类型、算法、差异微生物以及各种标志物组合及其诊断性能。此外,还概述了当前挑战和解决方案策略,以确定未来的研究方向。这种数据整合策略为查询和比较相关信息提供了一个有效的平台,为进一步研究CRC相关微生物和探索促进临床转变的因素提供了一种工具(可在以下网址获取:http://gsbios.com/index/experimental/dts_ mben?id=1)。