Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada.
Clin Chem. 2013 Jan;59(1):158-67. doi: 10.1373/clinchem.2012.184622.
The practice of personalized medicine has made large strides since the introduction of high-throughput technologies and the vast improvements in computational biotechnology. The personalized-medicine approach to cancer management holds promise for earlier disease detection, accurate prediction of prognosis, and better treatment options; however, the early experience with personalized medicine has revealed important concerns that need to be addressed before research findings can be translated to the bedside.
We discuss several emerging "practical" or "focused" applications of personalized medicine. Molecular testing can have an important positive impact on health and disease management in a number of ways, and the list of specific applications is evolving. This list includes improvements in risk assessment, disease prevention, identification of new disease-related mutations, accurate disease classification based on molecular signatures, selection of patients for enrollment in clinical trials, and development of new targeted therapies, especially for metastatic tumors that are refractory to treatment. Several challenges remain to be addressed before genomics information can be applied successfully in the routine clinical management of cancers. Further improvements and investigations are needed in data interpretation, extraction of actionable items, cost-effectiveness, how to account for patient heterogeneity and ethnic variation, and how to handle the risk of "incidental findings" in genetic testing.
It is now clear that personalized medicine will not immediately provide a permanent solution for patient management and that further refinement in the applications of personalized medicine will be needed to address and focus on specific issues.
自高通量技术和计算生物技术的巨大进步以来,个性化医学的实践已经取得了很大的进展。癌症管理的个性化医学方法有望更早地发现疾病,准确预测预后,并提供更好的治疗选择;然而,个性化医学的早期经验揭示了一些重要的问题,这些问题需要在研究结果转化为床边治疗之前得到解决。
我们讨论了个性化医学的几种新兴的“实用”或“集中”应用。分子测试可以通过多种方式对健康和疾病管理产生重要的积极影响,具体应用的列表也在不断发展。这包括改进风险评估、疾病预防、识别新的疾病相关突变、根据分子特征进行准确的疾病分类、选择患者参加临床试验,以及开发新的靶向治疗方法,特别是针对转移性肿瘤,这些肿瘤对治疗有抗药性。在基因组学信息能够成功应用于癌症的常规临床管理之前,仍有几个挑战需要解决。在数据解释、可操作项目的提取、成本效益、如何考虑患者异质性和种族差异,以及如何处理遗传测试中的“偶然发现”风险方面,还需要进一步的改进和研究。
现在很明显,个性化医学不会立即为患者管理提供永久的解决方案,需要进一步完善个性化医学的应用,以解决和关注特定问题。