Kim Jihyun, Lee Byung Joon, Moon Sehoon, Lee Hojeong, Lee Juyong, Kim Byung-Soo, Jung Keehoon, Seo Hyungseok, Chung Yeonseok
Research Institute for Pharmaceutical Sciences, College of Pharmacy, College of Pharmacy,Seoul National University, Seoul 08826, Republic of Korea.
Interdisciplinary Program for Bioengineering, Seoul National University, Seoul 08826, Republic of Korea.
Biomater Res. 2024 Sep 19;28:0080. doi: 10.34133/bmr.0080. eCollection 2024.
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.
尽管在过去几十年里癌症免疫疗法取得了显著进展,但在人类中开发更有效的治疗方法仍迫在眉睫。本综述探讨了克服癌症免疫疗法障碍的策略,利用了包括多特异性抗体、嵌合抗原受体(CAR)T细胞、髓系细胞、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疫苗等创新技术。这些方法旨在解决肿瘤免疫逃逸机制的不同方面及其相互作用。具体而言,多特异性抗体和CAR T细胞增强与肿瘤细胞的相互作用,加强免疫反应以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节针对肿瘤的免疫抑制微环境,提高免疫疗法的疗效。AI预测的新抗原能快速准确地识别抗原靶点,有助于开发个性化抗癌疫苗。此外,自体疫苗和mRNA疫苗激活个体的免疫系统,作为治疗性疫苗促进针对癌症新抗原的持续免疫反应。总体而言,这些策略有望提高癌症免疫疗法的疗效,为抗癌治疗开辟新的前景。