Professor, Patel College of Pharmacy, Madhyanchal Professional University, Ratibad, Bhopal, MP. India.
Professor and Dean, Patel College of Pharmacy, Madhyanchal Professional University, Ratibad, Bhopal, MP. India.
Zhongguo Ying Yong Sheng Li Xue Za Zhi. 2023 Dec 23;39:e20230008. doi: 10.62958/j.cjap.2023.008.
In the United States, cancer is one of the major causes of death. In 2010 alone, over 1.5 million fresh instances were recorded and over 0.5 billion died. After the completion of human genome sequence, significant progress in characterizing human epigenomes, proteomes and metabolomes has been made; a stronger knowledge of pharmacogenomics has been established and the capacity for individual personalization of health care has grown considerably. Personalized medicine has recently been primarily used to systematically select or optimize the prevention and therapeutic care of the patient through genetic or other data about the particular patient. Molecular profiling in healthy samples and cancer patients can allow for more personalized medications than is currently available. Patient protein, genetic and metabolic information may be used for adapting medical attention to the needs of that individual. The development of complementary diagnostics is a key attribute of this medicinal model. Molecular tests measuring the level of proteins, genes or specific mutations are used to provide a specific treatment for a particular individual by stratify the status of a disease, selecting the right drugs and tailoring dosages to the particular needs of the patient. These methods are also available for assessing risk factors for a patient for a number of conditions and for tailoring individual preventive therapies. Recent advances of personalized cancer medicine, challenges and futures perspectives are discussed.
在美国,癌症是主要死亡原因之一。仅在 2010 年,就记录了超过 150 万例新发病例,超过 5 亿人死亡。在人类基因组序列完成后,在描述人类表观基因组、蛋白质组和代谢组方面取得了重大进展;建立了更强的药物基因组学知识,并且个人医疗保健的个性化能力大大增强。个性化医学最近主要用于通过特定患者的遗传或其他数据系统地选择或优化患者的预防和治疗护理。对健康样本和癌症患者进行分子分析可以提供比目前更个性化的药物。可以使用患者的蛋白质、遗传和代谢信息来调整医疗护理以满足该个体的需求。互补诊断的发展是这种医学模型的关键属性。分子测试用于测量蛋白质、基因或特定突变的水平,通过分层疾病状态、选择正确的药物和根据患者的特定需求调整剂量,为特定个体提供特定的治疗方法。这些方法还可用于评估患者多种疾病的危险因素,并为个人预防性治疗进行定制。讨论了个性化癌症医学的最新进展、挑战和未来展望。