Targeting immunogenic cancer cell death by photodynamic therapy: past, present and future

光动力疗法 免疫原性细胞死亡 免疫疗法 医学 癌症免疫疗法 癌症研究 癌症 免疫系统 肿瘤微环境 细胞毒性T细胞 免疫检查点 细胞凋亡 癌症疫苗
作者
Razan Alzeibak,Tatiana A. Mishchenko,Natalia Y. Shilyagina,Irina V. Balalaeva,Maria Vedunova,Dmitri V. Krysko
出处
期刊:Journal for ImmunoTherapy of Cancer [BMJ]
卷期号:9 (1): e001926-e001926 被引量:64
标识
DOI:10.1136/jitc-2020-001926
摘要

The past decade has witnessed major breakthroughs in cancer immunotherapy. This development has been largely motivated by cancer cell evasion of immunological control and consequent tumor resistance to conventional therapies. Immunogenic cell death (ICD) is considered one of the most promising ways to achieve total tumor cell elimination. It activates the T-cell adaptive immune response and results in the formation of long-term immunological memory. ICD can be triggered by many anticancer treatment modalities, including photodynamic therapy (PDT). In this review, we first discuss the role of PDT based on several classes of photosensitizers, including porphyrins and non-porphyrins, and critically evaluate their potential role in ICD induction. We emphasize the emerging trend of ICD induction by PDT in combination with nanotechnology, which represents third-generation photosensitizers and involves targeted induction of ICD by PDT. However, PDT also has some limitations, including the reduced efficiency of ICD induction in the hypoxic tumor microenvironment. Therefore, we critically evaluate strategies for overcoming this limitation, which is essential for increasing PDT efficiency. In the final part, we suggest several areas for future research for personalized cancer immunotherapy, including strategies based on oxygen-boosted PDT and nanoparticles. In conclusion, the insights from the last several years increasingly support the idea that PDT is a powerful strategy for inducing ICD in experimental cancer therapy. However, most studies have focused on mouse models, but it is necessary to validate this strategy in clinical settings, which will be a challenging research area in the future.
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