孔伟名, 吕文文, 姜嘉媛, 冯铁男, 俞章盛. 多中心结直肠癌临床研究生物样本库信息系统的建设与管理[J]. 协和医学杂志, 2022, 13(4): 664-669. DOI: 10.12290/xhyxzz.2021-0763
引用本文: 孔伟名, 吕文文, 姜嘉媛, 冯铁男, 俞章盛. 多中心结直肠癌临床研究生物样本库信息系统的建设与管理[J]. 协和医学杂志, 2022, 13(4): 664-669. DOI: 10.12290/xhyxzz.2021-0763
KONG Weiming, LYU Wenwen, JIANG Jiayuan, FENG Tienan, YU Zhangsheng. Construction and Management of Biobank Information System for Multi-center Colorectal Cancer Clinical Research[J]. Medical Journal of Peking Union Medical College Hospital, 2022, 13(4): 664-669. DOI: 10.12290/xhyxzz.2021-0763
Citation: KONG Weiming, LYU Wenwen, JIANG Jiayuan, FENG Tienan, YU Zhangsheng. Construction and Management of Biobank Information System for Multi-center Colorectal Cancer Clinical Research[J]. Medical Journal of Peking Union Medical College Hospital, 2022, 13(4): 664-669. DOI: 10.12290/xhyxzz.2021-0763

多中心结直肠癌临床研究生物样本库信息系统的建设与管理

Construction and Management of Biobank Information System for Multi-center Colorectal Cancer Clinical Research

  • 摘要: 近年来,我国结直肠癌的发病率显著升高。随着对结直肠癌复发、转移机制的深入探索,可提供全面生物医学信息的生物样本库信息系统显得尤为重要。本文阐述了采用微服务架构构建包含临床电子数据采集系统、生物样本管理系统和生物信息数据平台三个子系统的多中心结直肠癌临床研究生物样本库信息系统,同时介绍各子系统在多中心临床研究中的管理模式和特色功能;并通过统一化编码规则、结构化临床信息、标准化样本流转信息和规范化数据存储等数据标准化管理方案,保障数据质量和互联互通,从而为推进转化医学研究和精准医疗发展提供全方位生物医学信息。

     

    Abstract: In recent years, the incidence of colorectal cancer in China has increased significantly. With the in-depth exploration of the mechanisms of colorectal cancer recurrence and metastasis, a biobank information system that can provide comprehensive biological information is becoming more and more important. This paper expounds on the construction of a multi-center colorectal cancer clinical research biobank information system that includes three subsystems as follows: a clinical electronic data acquisition system, a biological sample management system, and a biological information data platform using the micro-service architecture. This paper explains how these subsystems are used in the multi-center management module and their characteristic functions in clinical research. Data quality and interconnection are supported through standardized data management solutions such as unified coding rules, structured clinical information, standardized sample circulation information, and standardized data storage. Thereby, this system provides comprehensive biomedical information for the promotion of translational medicine research and the development of precision medicine.

     

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