Department of Biomedical Informatics, Vanderbilt University Medical School, Nashville, TN 37212, USA.
Genome Res. 2012 Nov;22(11):2101-8. doi: 10.1101/gr.131128.111. Epub 2012 Sep 27.
We are currently in an era of rapidly expanding knowledge about the genetic landscape and architectural blueprints of various cancers. These discoveries have led to a new taxonomy of malignant diseases based upon clinically relevant molecular alterations in addition to histology or tissue of origin. The new molecularly based classification holds the promise of rational rather than empiric approaches for the treatment of cancer patients. However, the accelerated pace of discovery and the expanding number of targeted anti-cancer therapies present a significant challenge for healthcare practitioners to remain informed and up-to-date on how to apply cutting-edge discoveries into daily clinical practice. In this Perspective, we use lung cancer as a paradigm to discuss challenges related to translating genomic information into the clinic, and we present one approach we took at Vanderbilt-Ingram Cancer Center to address these challenges.
我们正处在一个癌症的遗传特征和结构蓝图的知识飞速扩展的时代。这些发现导致了一种新的恶性疾病分类，这种分类不仅基于组织学或起源组织，还基于临床上相关的分子改变。新的基于分子的分类为癌症患者的治疗提供了合理的而不是经验的方法。然而，发现的加速步伐和靶向抗癌治疗的数量的增加，给医疗保健从业者带来了一个重大挑战，即如何保持了解并跟上将前沿发现应用于日常临床实践的步伐。在本观点中，我们以肺癌为例，讨论了将基因组信息转化为临床实践所面临的挑战，并介绍了我们在范德比尔特 - 英格拉姆癌症中心采取的一种方法来应对这些挑战。
