Volume 13 Issue 4
Jul.  2022
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Article Contents
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

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

doi: 10.12290/xhyxzz.2021-0763
Funds:

National Natural Science Foundation of China 12171318

Natural Science Foundation of Shanghai 20JC1410100

Natural Science Foundation of Shanghai 21ZR1436300

Shanghai Three-year Action Plan for Public Health System Construction GWV-10.1-XK05

Sino-Shanghai-SJTU Trans-med Awards Research 20190102

More Information
  • Corresponding author: YU Zhangsheng, E-mail: yuzhangsheng@sjtu.edu.cn
  • Received Date: 2021-11-30
  • Accepted Date: 2021-12-29
  • Available Online: 2022-06-23
  • Publish Date: 2022-07-30
  • 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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