Department of Human Oncology, University of Wisconsin School of Medicine and Public Health, Madison, WI; Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, WI.
Department of Human Oncology, University of Wisconsin School of Medicine and Public Health, Madison, WI.
Semin Radiat Oncol. 2023 Jul;33(3):279-286. doi: 10.1016/j.semradonc.2023.03.005.
Patient-derived cancer models have been used for decades to improve our understanding of cancer and test anticancer treatments. Advances in radiation delivery have made these models more attractive for studying radiation sensitizers and understanding an individual patient's radiation sensitivity. Advances in the use of patient-derived cancer models lead to a more clinically relevant outcome, although many questions remain regarding the optimal use of patient-derived xenografts and patient-derived spheroid cultures. The use of patient-derived cancer models as personalized predictive avatars through mouse and zebrafish models is discussed, and the advantages and disadvantages of patient-derived spheroids are reviewed. In addition, the use of large repositories of patient-derived models to develop predictive algorithms to guide treatment selection is discussed. Finally, we review methods for establishing patient-derived models and identify key factors that influence their use as both avatars and models of cancer biology.
患者来源的癌症模型已被用于提高我们对癌症的理解和测试抗癌治疗方法，已有数十年的历史。辐射传递的进步使得这些模型更具吸引力，可用于研究辐射增敏剂并了解个体患者的辐射敏感性。患者来源的癌症模型的使用取得了更具临床相关性的结果，尽管对于患者来源的异种移植物和患者来源的球体培养物的最佳使用仍存在许多问题。通过小鼠和斑马鱼模型，将患者来源的癌症模型用作个性化预测模拟物的用途进行了讨论，并回顾了患者来源球体的优缺点。此外，还讨论了使用大型患者来源模型库来开发预测算法以指导治疗选择的方法。最后，我们回顾了建立患者来源模型的方法，并确定了影响它们作为模拟物和癌症生物学模型的使用的关键因素。
