School of Mathematical Sciences, College of Science, Rochester Institute of Technology, Rochester, New York, United States of America.
Mathematical Biosciences Institute & Department of Mathematics, The Ohio State University, Columbus, Ohio, United States of America.
PLoS One. 2022 Jan 11;17(1):e0262453. doi: 10.1371/journal.pone.0262453. eCollection 2022.
Metastatic castration resistant prostate cancer (mCRPC) is commonly treated by androgen deprivation therapy (ADT) in combination with chemotherapy. Immune therapy by checkpoint inhibitors, has become a powerful new tool in the treatment of melanoma and lung cancer, and it is currently being used in clinical trials in other cancers, including mCRPC. However, so far, clinical trials with PD-1 and CTLA-4 inhibitors have been disappointing. In the present paper we develop a mathematical model to assess the efficacy of any combination of ADT with cancer vaccine, PD-1 inhibitor, and CTLA-4 inhibitor. The model is represented by a system of partial differential equations (PDEs) for cells, cytokines and drugs whose density/concentration evolves in time within the tumor. Efficacy of treatment is determined by the reduction in tumor volume at the endpoint of treatment. In mice experiments with ADT and various combinations of PD-1 and CTLA-4 inhibitors, tumor volume at day 30 was always larger than the initial tumor. Our model, however, shows that we can decrease tumor volume with large enough dose; for example, with 10 fold increase in the dose of anti-PD-1, initial tumor volume will decrease by 60%. Although the treatment with ADT in combination with PD-1 inhibitor or CTLA-4 inhibitor has been disappointing in clinical trials, our simulations suggest that, disregarding negative effects, combinations of ADT with checkpoint inhibitors can be effective in reducing tumor volume if larger doses are used. This points to the need for determining the optimal combination and amounts of dose for individual patients.
转移性去势抵抗性前列腺癌(mCRPC)通常通过雄激素剥夺疗法(ADT)联合化疗治疗。免疫检查点抑制剂的免疫治疗已成为治疗黑色素瘤和肺癌的一种强大的新工具,目前正在其他癌症的临床试验中使用,包括 mCRPC。然而,到目前为止,PD-1 和 CTLA-4 抑制剂的临床试验结果令人失望。在本文中,我们开发了一个数学模型来评估 ADT 与癌症疫苗、PD-1 抑制剂和 CTLA-4 抑制剂联合治疗的疗效。该模型由一组偏微分方程(PDE)表示,用于描述细胞、细胞因子和药物的密度/浓度随时间在肿瘤内的演变。治疗效果由治疗结束时肿瘤体积的减少来确定。在 ADT 与各种 PD-1 和 CTLA-4 抑制剂组合的小鼠实验中,第 30 天的肿瘤体积总是大于初始肿瘤。然而,我们的模型表明,我们可以通过使用足够大的剂量来减小肿瘤体积;例如,使用抗 PD-1 的 10 倍剂量,初始肿瘤体积将减少 60%。尽管 ADT 联合 PD-1 抑制剂或 CTLA-4 抑制剂的治疗在临床试验中令人失望,但我们的模拟表明,不顾及负面效果,ADT 与检查点抑制剂的联合治疗如果使用更大的剂量可以有效减少肿瘤体积。这表明需要确定个体患者的最佳联合治疗方案和剂量。