Department of Neurological Surgery, University of California, San Francisco, CA, USA.
Department of Neurological Surgery, University of California, San Francisco, CA, USA.
Semin Cancer Biol. 2022 Nov;86(Pt 3):532-541. doi: 10.1016/j.semcancer.2022.02.019. Epub 2022 Mar 9.
Immunotherapies seek to unleash the immune system against cancer cells. While a variety of immunotherapies exist, one of the most commonly used is immune checkpoint blockade, which refers to the use of antibodies to interfere with immunosuppressive signaling through immune checkpoint molecules. Therapies against various checkpoints have had success in the clinic across cancer types. However, the efficacy of checkpoint inhibitors has varied across different cancer types and non-responsive patient populations have emerged. Non-responders to these therapies have highlighted the importance of understanding underlying mechanisms of resistance in order to predict which patients will respond and to tailor individual treatment paradigms. In this review we discuss the literature surrounding tumor mediated mechanisms of immune checkpoint resistance. We also describe efforts to overcome resistance and combine checkpoint inhibitors with additional immunotherapies. Finally, we provide insight into the future of immune checkpoint blockade, including the need for improved preclinical modeling and predictive biomarkers to facilitate personalized cancer treatments for patients.
免疫疗法旨在利用免疫系统对抗癌细胞。虽然存在多种免疫疗法,但最常用的方法之一是免疫检查点阻断,它是指使用抗体干扰免疫检查点分子的免疫抑制信号。针对各种检查点的疗法在癌症类型的临床治疗中已取得成功。然而,检查点抑制剂的疗效在不同癌症类型中有所不同,并且已经出现了对这些疗法无反应的患者群体。这些疗法的无反应者强调了理解耐药潜在机制的重要性,以便预测哪些患者会有反应,并制定个体化的治疗方案。在这篇综述中,我们讨论了围绕肿瘤介导的免疫检查点耐药机制的文献。我们还描述了克服耐药性的努力,以及将检查点抑制剂与其他免疫疗法联合使用。最后,我们提供了对免疫检查点阻断的未来展望,包括需要改进临床前模型和预测性生物标志物,以促进针对患者的个性化癌症治疗。