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Current status and problems of tailor-made medicine in anticancer therapy

机译:抗癌疗法量身定制药物的现状与问题

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Tailor-made medicine is a key concept in achieving a successful outcome for individual patients with malignant disease. Identifying the appropriate patient, i.e., "How to select patients", is the first concept of tailor-made medicine. In recent years, molecular target drugs have been developed rapidly and over a broad spectrum. The candidate patients for drugs are selected by particular biomarkers based on theoretical evidence. Moreover, conventional individualized methods such as TNM classification, pathological findings and patient background including performance status, and organ functions, are also important to correctly identify the patients. Identifying the appropriate therapy, i.e., "How to treat", is the next concept. Drug sensitivity tests and prediction models using DNA micro array are still under development and not available at bedside. Chemotherapy drug dosages are adjusted according to body surface area with a lack of scientific data. There have been some attempts to establish calculation formulas for modification of drugs. The Calvert formula is the best-known, however, it may not be used correctly in Japan because of the difference in the methods for estimating creatinine as well as ethnic differences. pharmacogenomics/pharmacogenetics is the front-line approach of modern chemotherapy that analyzes genomic information and pharmacokinetic/pharmacodynamic findings. This approach is achieving adaptable results for cancer treatment practice. Finally, for tailor-made medicine, we must develop genomic approach in both evaluating tumor characteristics and establishing adequate therapy, and have to combine all possible information including conventional TNM classification and pathological findings.
机译:量身定制的药物是实现患有恶性疾病患者成功结果的关键概念。确定适当的患者,即“如何选择患者”,是定制药物的第一个概念。近年来,分子目标药物已迅速且广泛地发展。基于理论证据的特定生物标志物选择候选药物患者。此外,常规个性化方法如TNM分类,病理发现和患者背景,包括性能状态和器官功能,也不是正确识别患者的重要性。确定适当的疗法,即“如何处理”,是下一个概念。使用DNA微阵列的药物敏感性测试和预测模型仍在开发中,床边不可用。化疗药物剂量根据体表面积调整,缺乏科学数据。有一些尝试建立用于修饰药物的计算公式。 Calvert公式是最着名的,但是,由于估计肌酸酐和种族差异的方法不同,它可能不会正确使用。药替昔甙/药物发生是现代化疗的前线方法,分析基因组信息和药代动力学/药效检查结果。这种方法正在达到癌症治疗实践的适应性结果。最后,对于量身定制的药物,我们必须在评估肿瘤特征和建立充足的治疗方面发育基因组方法,并且必须将包括常规TNM分类和病理结果的所有可能信息组合。

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