肿瘤药物敏感性预测模型及其在膀胱癌中的应用

应毅蝶, 曾蜀雄, 许传亮. 肿瘤药物敏感性预测模型及其在膀胱癌中的应用[J]. 临床泌尿外科杂志, 2020, 35(3): 227-232. doi: 10.13201/j.issn.1001-1420.2020.03.015
引用本文: 应毅蝶, 曾蜀雄, 许传亮. 肿瘤药物敏感性预测模型及其在膀胱癌中的应用[J]. 临床泌尿外科杂志, 2020, 35(3): 227-232. doi: 10.13201/j.issn.1001-1420.2020.03.015
YING Yidie, ZENG Shuxiong, XU Chuanliang. Cancer models to predict drug response and its application in bladder cancer research[J]. J Clin Urol, 2020, 35(3): 227-232. doi: 10.13201/j.issn.1001-1420.2020.03.015
Citation: YING Yidie, ZENG Shuxiong, XU Chuanliang. Cancer models to predict drug response and its application in bladder cancer research[J]. J Clin Urol, 2020, 35(3): 227-232. doi: 10.13201/j.issn.1001-1420.2020.03.015

肿瘤药物敏感性预测模型及其在膀胱癌中的应用

  • 基金项目:

    国家自然科学基金项目(No:81802515,81972391,81772720,81572509)

    上海市青年科技英才扬帆计划(No:18YF1422700)

    第二军医大学青年启动基金(No:2017QN11)

详细信息
    通讯作者: 许传亮,E-mail:chuanliang_xu@126.com
  • 中图分类号: R737.14

Cancer models to predict drug response and its application in bladder cancer research

More Information
  • 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。
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收稿日期:  2019-05-08

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