Nagel Zachary D, Engelward Bevin P, Brenner David J, Begley Thomas J, Sobol Robert W, Bielas Jason H, Stambrook Peter J, Wei Qingyi, Hu Jennifer J, Terry Mary Beth, Dilworth Caroline, McAllister Kimberly A, Reinlib Les, Worth Leroy, Shaughnessy Daniel T
Department of Environmental Health, Harvard School of Public Health, Boston, MA, 02115, USA.
Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Mutat Res. 2017 Aug;800-802:14-28. doi: 10.1016/j.mrfmmm.2017.03.007. Epub 2017 Apr 6.
The rise of advanced technologies for characterizing human populations at the molecular level, from sequence to function, is shifting disease prevention paradigms toward personalized strategies. Because minimization of adverse outcomes is a key driver for treatment decisions for diseased populations, developing personalized therapy strategies represent an important dimension of both precision medicine and personalized prevention. In this commentary, we highlight recently developed enabling technologies in the field of DNA damage, DNA repair, and mutagenesis. We propose that omics approaches and functional assays can be integrated into population studies that fuse basic, translational and clinical research with commercial expertise in order to accelerate personalized prevention and treatment of cancer and other diseases linked to aberrant responses to DNA damage. This collaborative approach is generally applicable to efforts to develop data-driven, individualized prevention and treatment strategies for other diseases. We also recommend strategies for maximizing the use of biological samples for epidemiological studies, and for applying emerging technologies to clinical applications.
从序列到功能,用于在分子水平表征人类群体的先进技术的兴起,正在将疾病预防范式转向个性化策略。由于将不良后果降至最低是患病群体治疗决策的关键驱动因素,因此制定个性化治疗策略是精准医学和个性化预防的一个重要方面。在这篇评论中,我们重点介绍了最近在DNA损伤、DNA修复和诱变领域开发的使能技术。我们建议,可以将组学方法和功能测定整合到群体研究中,这些研究将基础、转化和临床研究与商业专业知识相结合,以加速癌症和其他与DNA损伤异常反应相关疾病的个性化预防和治疗。这种协作方法通常适用于为其他疾病制定数据驱动的个性化预防和治疗策略的工作。我们还推荐了一些策略,以最大限度地利用生物样本进行流行病学研究,并将新兴技术应用于临床应用。