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Modeling Oncolytic Viral Therapy, Immune Checkpoint Inhibition, and the Complex Dynamics of Innate and Adaptive Immunity in Glioblastoma Treatment

机译:玉米殖民瘤病毒治疗,免疫检查点抑制,免疫检查点抑制和复合动力学的胶质母细胞瘤治疗

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Oncolytic viruses are of growing interest to cancer researchers and clinicians, due to their selectivity for tumor cells over healthy cells and their immunostimulatory properties. The immune response to an oncolytic virus plays a critical role in treatment efficacy. However, uncertainty remains regarding the circumstances under which the immune system either assists in eliminating tumor cells or inhibits treatment via rapid viral clearance, leading to the cessation of the immune response. In this work, we develop an ordinary differential equation model of treatment for a lethal brain tumor, glioblastoma, using an oncolytic Herpes Simplex Virus. We use a mechanistic approach to model the interactions between distinct populations of immune cells, incorporating both innate and adaptive immune responses to oncolytic viral therapy (OVT), and including a mechanism of adaptive immune suppression via the PD-1/PD-L1 checkpoint pathway. We focus on the tradeoff between viral clearance by innate immune cells and the innate immune cell-mediated recruitment of antiviral and antitumor adaptive immune cells. Our model suggests that when a tumor is treated with OVT alone, the innate immune cells' ability to clear the virus quickly after administration has a much larger impact on the treatment outcome than the adaptive immune cells' antitumor activity. Even in a highly antigenic tumor with a strong innate immune response, the faster recruitment of antitumor adaptive immune cells is not sufficient to offset the rapid viral clearance. This motivates our subsequent incorporation of an immunotherapy that inhibits the PD-1/PD-L1 checkpoint pathway by blocking PD-1, which we combine with OVT within the model. The combination therapy is most effective for a highly antigenic tumor or for intermediate levels of innate immune localization. Extreme levels of innate immune cell activity either clear the virus too quickly or fail to activate a sufficiently strong adaptive response, yielding ineffective combination therapy of GBM. Hence, we show that the innate and adaptive immune interactions significantly influence treatment response and that combining OVT with an immune checkpoint inhibitor expands the range of immune conditions that allow for tumor size reduction or clearance.
机译:由于它们对健康细胞的肿瘤细胞的选择性及其免疫刺激性特性,癌症研究人员和临床医生对癌症研究人员和临床医生来说越来越感兴趣。对溶瘤病毒的免疫反应在治疗效能中起着关键作用。然而,不确定性仍然有关于免疫系统有助于消除肿瘤细胞或通过快速病毒清除抑制治疗的情况,导致免疫应答的停止。在这项工作中,我们使用溶血性疱疹病毒开发了一种致死脑肿瘤,胶质母细胞瘤的常微分方程模型。我们利用机械方法来模拟免疫细胞的不同群体之间的相互作用,将先天性和适应性免疫应答掺入溶血性病毒治疗(OVT),并包括通过PD-1 / PD-L1检查点途径的适应性免疫抑制机制。我们专注于先天免疫细胞和先天免疫细胞介导的抗病毒和抗肿瘤自适应免疫细胞的病毒清除之间的权衡。我们的模型表明,当肿瘤单独用OVT处理时,在给药后迅速清除病毒的先天免疫细胞对治疗结果的影响大得多,而不是自适应免疫细胞的抗肿瘤活性。即使在具有强烈的天生的免疫应答的高度抗原肿瘤中,抗肿瘤自适应免疫细胞的较快募集也不足以抵消快速的病毒清除。这激发了我们随后掺入抑制PD-1 / PD-L1检查点途径的免疫疗法通过阻塞PD-1,我们与模型内的OVT相结合。联合治疗对于高抗原肿瘤或用于先天免疫定位的中间水平最有效。最高水平的先天免疫细胞活性可清除病毒过快或不能激活足够强烈的适应性响应,从而产生GBM的无效组合治疗。因此,我们表明,先天和适应性免疫相互作用显着影响治疗响应,并且将ovt与免疫检查点抑制剂组合扩展了允许肿瘤大小减少或间隙的免疫条件范围。

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