Qattan Malak, Demonacos Constantinos, Krstic-Demonacos Marija
Marija Krstic-Demonacos, Faculty of Life Sciences, The University of Manchester, Manchester, UK.
Croat Med J. 2012 Aug;53(4):294-7. doi: 10.3325/cmj.2012.53.294.
Standard clinical protocols and the concept "one drug fits all" that are currently used to treat illness in many cases are not effective, and strikingly so in the treatment of cancer, where 75% of therapeutic schemes are ineffective. The concept of personalized medicine is that the treatment of the disease is designed on the basis of the individual needs of each patient and the factors that influence their response to different drugs. Individualization of patient care has the potential to generate novel effective therapies, limit the adverse drug effects, create optimal treatments for individual patients, and decrease the cost associated with chronic illness and complications of drug usage. However, to achieve the goals of personalized medicine many challenges must be addressed. Here we discuss possible ways to increase the consistency of data generated by basic research and their suitability for application in medicine. New technologies employing systems biology and computer based approaches will facilitate overcoming many of the scientific challenges in the field. Changes in the education of researchers, health professionals, and the public are also required to successfully implement personalized medicine as a routine in the clinic. Finally, shift of the focus away from the development of blockbuster drugs in the biopharmaceutical industry, and modifications in the legal system to accommodate novel advancements need to be considered. The joint effort of all interested parties is needed to generate an efficient roadmap that will take us rapidly and safely to effective individual treatment, which will eliminate diseases and create better health care for all.
目前在许多情况下用于治疗疾病的标准临床方案和“一刀切”的理念并不有效,在癌症治疗中尤为明显,75%的治疗方案无效。个性化医疗的理念是根据每个患者的个体需求以及影响其对不同药物反应的因素来设计疾病治疗方案。患者护理的个体化有潜力产生新的有效疗法,限制药物不良反应,为个体患者创造最佳治疗方案,并降低与慢性病和药物使用并发症相关的成本。然而,要实现个性化医疗的目标,必须应对许多挑战。在此,我们讨论提高基础研究产生的数据的一致性及其在医学中应用的适用性的可能方法。采用系统生物学和基于计算机方法的新技术将有助于克服该领域的许多科学挑战。为了在临床中成功将个性化医疗作为常规手段实施,研究人员、医疗专业人员和公众的教育也需要改变。最后,需要考虑生物制药行业将重点从开发重磅炸弹药物上转移,以及修改法律制度以适应新进展。需要所有相关方共同努力,制定一个有效的路线图,将我们迅速且安全地带向有效的个体化治疗,从而消除疾病,为所有人创造更好的医疗保健。