Frédéric Joliot-Curie National Research Institute for Radiobiology and Radiohygiene, Budapest, Hungary.
Frédéric Joliot-Curie National Research Institute for Radiobiology and Radiohygiene, Budapest, Hungary.
Cancer Lett. 2015 Nov 28;368(2):252-61. doi: 10.1016/j.canlet.2015.03.003. Epub 2015 Mar 6.
Treg cells are key elements of the immune system which are responsible for the immune suppressive phenotype of cancer patients. Interaction of Treg cells with conventional anticancer therapies might fundamentally influence cancer therapy response rates. Radiotherapy, apart from its direct tumor cell killing potential, has a contradictory effect on the antitumor immune response: it augments certain immune parameters, while it depresses others. Treg cells are intrinsically radioresistant due to reduced apoptosis and increased proliferation, which leads to their systemic and/or intratumoral enrichment. While physiologically Treg suppression is not enhanced by irradiation, this is not the case in a tumorous environment, where Tregs acquire a highly suppressive phenotype, which is further increased by radiotherapy. This is the reason why the interest for combined radiotherapy and immunotherapy approaches focusing on the abrogation of Treg suppression has increased in cancer therapy in the last few years. Here we summarize the basic mechanisms of Treg radiation response both in healthy and cancerous environments and discuss Treg-targeted pre-clinical and clinical immunotherapy approaches used in combination with radiotherapy. Finally, the discrepant findings regarding the predictive value of Tregs in therapy response are also reviewed.
调节性 T 细胞(Treg 细胞)是免疫系统的关键组成部分,其负责癌症患者的免疫抑制表型。Treg 细胞与常规抗癌疗法的相互作用可能从根本上影响癌症治疗的反应率。放疗除了具有直接杀伤肿瘤细胞的潜力外,还对抗肿瘤免疫反应具有矛盾的影响:它增强了某些免疫参数,同时又抑制了其他参数。Treg 细胞由于凋亡减少和增殖增加而具有内在的放射抗性,这导致它们在全身和/或肿瘤内的富集。虽然生理上照射不会增强 Treg 的抑制作用,但在肿瘤环境中并非如此,在肿瘤环境中,Tregs 获得了高度抑制性表型,而放疗进一步增强了这种表型。这就是为什么近年来癌症治疗中对联合放疗和免疫疗法的兴趣增加了,这些方法侧重于消除 Treg 抑制。在这里,我们总结了 Treg 对健康和癌症环境中辐射反应的基本机制,并讨论了与放疗联合使用的针对 Treg 的临床前和临床免疫治疗方法。最后,还回顾了 Tregs 在治疗反应中的预测价值的不一致发现。