肿瘤精准医疗中的个性化药效评估(预测)方法

摘要

How to efficiently predict individual drug effectiveness is a hot topic of cancer research.In this paper, the way to precisely estimate and predict the effectiveness of targeted-drugs of a specific patient is analyzed by reviewing and examining the basic theory and the development of targeted treatment of cancer.A paradigm of genetic testing, cancerization genetic testing mode, is proposed.Recently developed high-throughput sequencing technique is utilized and molecular pathology of individual patient based on artificial intelligence are systematically analyzed and precisely diagnosed in this mode.The conventional genetic testing paradigm only focuses on mutation detection using low-throughput sequencing technologies with one-sided and seriously biased diagnosis and the shortcoming is overcome by the cancerization testing model with over-simplicity for realizing the precision medicine.Furthermore the clinical practice of the proposed mode is discussed.%如何有效评估(预测)肿瘤病人的个性化药效是当前肿瘤研究的热点之一.文中从靶向治疗基本原理和研究现状出发,分析和讨论如何实现肿瘤精准医疗中的个性化用药药效评估方法,提出基于人工智能的肿瘤癌变用药基因检测模式.利用高通量测序技术绘制肿瘤细胞多组学全景图,系统性地分析肿瘤的分子病理,借助人工智能方法精准定位个性化的癌变驱动机制.该癌变用药模式克服传统突变用药基因检测模式较为片面、粗糙等缺陷,与精准医疗的本质要求相符,适应精准医疗的最新发展要求.同时,文中探讨该模式的临床实现.