摘要
目的:整合现有前沿的大量而分散的精准医学知识以形成系统完整的知识数据库,为个体组学数据的临床应用提供依据,旨在最终实现基于组学特征的精准用药推荐。方法:采用My SQL数据库管理系统构建数据库,从FDA伴随诊断、NCCN指南、My Cancer Genome、GDSC四大权威医学资源中手动收集精准用药知识,并将原始数据标准化、结构化后以统一的格式存储。结果:成功设计并构建了肿瘤精准医学知识库,目前共收录1 940条精准用药指导,涵盖了基因突变等14种不同类型的组学特征。结论:精准医学知识数据库收录了肿瘤分子组学特征和治疗策略的关联信息,可为临床上个体化治疗方案的制订提供参考依据。数据库的建立为精准医疗临床决策支持系统的开发奠定了基础。
Objective: To integrate substantial but scattered state-of-the-art precision medicine knowledge and form a systematic knowledge network,to support clinical application of individual omics data,aiming at precision medication recommendations. Methods: The database was constructed using My SQL. Precision medicine knowledge from FDA companion diagnosis,NCCN guidelines,My Cancer Genome and GDSC was manually collected in a unified format after being standardized and structured. Results: The tumor precision medicine knowledge base( PMKB) was successfully designed and constructed and has already collected 1 940 clinical directives, covering 14 kinds of variations. Conclusion: PMKB collects information relating tumor mutations and therapeutic strategies,which can provide personalized treatments of reference. PMKB is also the base of constructing a clinical decision support system of precision medicine.
作者
汪凌
陈新
WANG Ling;CHEN Xin(College of Chemical and Biological Engineering, Zhejiang University, Hangzhou 310027, China;Institute of Pharmaceutical Bioteehnology, Zhejiang University, Hangzhou 310058, China)
出处
《中国生物工程杂志》
CAS
CSCD
北大核心
2018年第5期40-46,共7页
China Biotechnology
关键词
肿瘤
精准医学
数据库
组学数据
Tumor
Precision medicine
Database
Omics data