Jihyun Kim, Byung Joon Lee, Sehoon Moon, Hojeong Lee, Juyong Lee, Byung-Soo Kim, Keehoon Jung, Hyungseok Seo, Yeonseok Chung
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引用次数: 0
摘要
尽管癌症免疫疗法在过去几十年中取得了显著进步,但人类仍然迫切需要开发更有效的治疗方法。本综述探讨了利用创新技术克服癌症免疫疗法障碍的策略,包括多特异性抗体、嵌合抗原受体(CAR)T细胞、髓样细胞、癌症相关成纤维细胞、人工智能(AI)预测的新抗原、自体疫苗和mRNA疫苗。这些方法旨在解决肿瘤免疫逃避机制的不同方面和相互作用。具体来说,多特异性抗体和 CAR T 细胞可加强与肿瘤细胞的相互作用,增强免疫反应,促进肿瘤浸润和破坏。对髓系细胞和癌症相关成纤维细胞的调控可针对肿瘤的免疫抑制微环境,提高免疫疗法的疗效。人工智能预测的新抗原能迅速准确地确定抗原靶点,从而促进个性化抗癌疫苗的开发。此外,自体疫苗和 mRNA 疫苗可激活个体的免疫系统,促进针对癌症新抗原的持续免疫反应,从而成为治疗性疫苗。总之,这些策略有望提高癌症免疫疗法的疗效,为抗癌治疗开辟新天地。
Strategies to Overcome Hurdles in Cancer Immunotherapy.
Despite marked advancements in cancer immunotherapy over the past few decades, there remains an urgent need to develop more effective treatments in humans. This review explores strategies to overcome hurdles in cancer immunotherapy, leveraging innovative technologies including multi-specific antibodies, chimeric antigen receptor (CAR) T cells, myeloid cells, cancer-associated fibroblasts, artificial intelligence (AI)-predicted neoantigens, autologous vaccines, and mRNA vaccines. These approaches aim to address the diverse facets and interactions of tumors' immune evasion mechanisms. Specifically, multi-specific antibodies and CAR T cells enhance interactions with tumor cells, bolstering immune responses to facilitate tumor infiltration and destruction. Modulation of myeloid cells and cancer-associated fibroblasts targets the tumor's immunosuppressive microenvironment, enhancing immunotherapy efficacy. AI-predicted neoantigens swiftly and accurately identify antigen targets, which can facilitate the development of personalized anticancer vaccines. Additionally, autologous and mRNA vaccines activate individuals' immune systems, fostering sustained immune responses against cancer neoantigens as therapeutic vaccines. Collectively, these strategies are expected to enhance efficacy of cancer immunotherapy, opening new horizons in anticancer treatment.