大数据时代临床医师的科研策略  

Research strategy for clinicians in big data era

作　　者：管晓翔[1] 

机构地区：[1]南京军区南京总医院肿瘤内科,南京210002

出　　处：《医学研究生学报》2016年第3期225-229,共5页Journal of Medical Postgraduates

摘　　要：随着21世纪大数据时代的到来,医学模式也被悄然改变。大数据时代在对传统医学研究模式提出了挑战的同时,也为临床医师的科学研究提供了重大的机遇。尽管大数据时代的到来为诸多科研领域带来新的曙光,然而如何将生物大数据变成创新资源仍是需要我们关注的重点问题。临床医师在科研的过程中,应该充分利用基于患者的临床信息、肿瘤生物学特性、分子标记物及个体基因测序的大数据,对医学资源进行深入发掘、收集、整理,并加以利用;完整地了解肿瘤患者基因组变异及其结构和表达的变化,找出具有特征性的基因标志并发现新的驱动基因和药物靶点,为肿瘤精准诊治提供重要的依据。In the 21 st century,the arrival of the era of big data has quietly changed the medical model. The Big Data era not only challenges the traditional medical thinking model,but also offers significant opportunities for clinicians＇ scientific research. Despite the arrival of the era of big data brings a new dawn for many fields of scientific research,the transition from large biological data to innovation resources is still the focus of our concern. Clinicians in the process of research should take full advantage of the big data of patients＇ clinical information,tumor biology,molecular markers and individuals＇ gene sequencing. They should in-depth explore,collect,organize,and make full use of those medical resources,completely learn patients＇ genomic variation and changes of their structure and expression to find characteristic genetic markers and identify new driver genes and drug targets,providing an important basis for accurate diagnosis and treatment of cancer.

关 键 词：大数据 精准医疗 乳腺癌 科研策略 

分 类 号：R737.9[医药卫生—肿瘤]