Development And Application Of An Information Database For Colorectal Cancer Translational Research

The rise of molecular biology has had a profound effect on modern medicine for nearly three decades. Especially, with the accomplishment of Human Genome Project, molecular medicine based on high-throughput experiments and new sequencing technologies is promising the development of personalized medicine. There are more and more translational researches aimed at translating basic research results to clinical practice recently, which provides a new research model for individualized diagnosis and treatment of disease. These new technologies and research methods have produced thousands of molecular biology data and the number of molecular biology data is increasing exponentially, which is useful to understand human at the molecular level and provide scientific evidence for disease diagnose and treatment. However, it poses a new scientific question on how to effectively acquire, integrate and make good use of these data.This thesis represents our work on building a set of relatively complete multi-source biomedical information collection solution to promote colorectal cancer translational research including:(1) the standardized clinical information collection of colorectal cancer based on SNOMED CT collecting standardized and de-identified clinical information; (2) real-time epidemiology data collection based on mobile technology and web architecture; (3) caTissue-based colorectal cancer personalized omics data collection process; and (4) real-time public biomedical data collection based on OMIM collecting genes and systematic biomedical information related with colorectal cancer from several public biomedical databases.Considering the characteristics of multi-source biomedical information and the strengths and weaknesses of database models, this research introduced the EAV-ER mixed model to design a biomedical database integrating clinical, omics and epidemiology data and then developed a colorectal cancer epidemiology questionnaire system, a specimen and personalized omics information management system and an open colorectal cancer translational research website to provide a unified information platform for colorectal cancer translational researchers to access and share biomedical data they need. Based on all above, we built the mapping between clinical information and omics data by UMLS as the preliminary exploration on the practical application of the biomedical database. This thesis provides a complete information solution and technology supports for colorectal cancer translational research to facilitate the development of colorectal cancer translational research in our country, which lays the foundation for international development of related research.