Cancer models to predict drug response and its application in bladder cancer research
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摘要: 目前,在精准医疗背景下,需要研究不同抗肿瘤药物对患者的治疗效果,并将最敏感的药物作用于患者,从而实现肿瘤的个体化治疗。而药物敏感性的研究依赖于高度还原患者肿瘤特征的肿瘤模型。目前,常见的肿瘤模型包括致癌物动物模型、移植物动物模型、肿瘤细胞株培养、3D培养模型、类器官、转基因动物模型、微流体器官芯片模型,这些药敏性预测模型已经越来越多地用于肿瘤研究与治疗,并且取得了一定的效果。在膀胱癌领域这些模型应用仍较少,因此亟需将这些模型引入膀胱癌的诊治中。本综述将介绍多种药敏性预测模型基本特点,在临床研究中的应用及其前景。Abstract: Nowadays,in the context of precision medicine,the treatment of cancer requires analyzing the responses of each patient to different anti-cancer drugs,and then administer the most effective drug to the patient to achieve individualized medicine.This process requires cancer models which faithfully recapitulate the characteristics of the tumor.To date,models of cancer usually include:carcinogen-based animal models,engraftment models,cancer cell-line models,3 Dculture models,organoids,genetically-engineered mouse models,microfluidic organ-on-a-chip.These models are being applied more frequently in cancer research and treatment,and have yielded certain results.However,relatively few models of bladder cancer have been described.Thus,it's urgent to introduce these models into the diagnosis and treatment of bladder cancer.This review focuses on the basic characteristics of various models which predict drug response,the application of these models in clinical research and its future prospect.
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Key words:
- bladder cancer /
- precision medicine /
- individualized medicine /
- cancer model
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