Laderas Ted, Wu Guanming, McWeeney Shannon
Sci Prog. 2015;98(Pt 3):253-63. doi: 10.3184/003685015X14368898634462.
Precision medicine, broadly defined as considering individual variability in genes, environment, and lifestyle for each person in disease prevention and selection of suitable medical intervention, shows strong promise in the treatment of cancer Selecting therapies is complicated by multiple routes to gene dysregulation, which manifest in the individual patient within the many different types of genomic measurements. Additionally, multiple mutations exist in patients, aphenomenon known as oncogenic collaboration, which further complicates the selection of therapy. In this article, we discuss current approaches using biological pathways and networks to unify the many types of OMICs data. We argue that a contextual approach combining cancer pathways and networks could lead to a proper understanding of the biology of this significant disease.
精准医学广义上被定义为在疾病预防和选择合适的医学干预措施时考虑每个人在基因、环境和生活方式方面的个体差异,在癌症治疗方面显示出巨大的前景。选择治疗方法因基因失调的多种途径而变得复杂,这些途径在个体患者的许多不同类型的基因组测量中表现出来。此外,患者中存在多种突变,即所谓的致癌协同作用现象,这进一步使治疗选择复杂化。在本文中,我们讨论了使用生物途径和网络来统一多种类型的组学数据的当前方法。我们认为,结合癌症途径和网络的背景方法可以导致对这种重大疾病生物学的正确理解。