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药物功能重映射:肿瘤免疫治疗的新希望。

Drug functional remapping: a new promise for tumor immunotherapy.

作者信息

Dong Jiayi, Su Ting, Wu Jiexiong, Xiang Yu, Song Minghan, He Canfeng, Shao Lijuan, Yang Yubin, Chen Size

机构信息

Department of Immuno-Oncology, The First Affiliated Hospital of Guangdong Pharmaceutical University, Guangdong Pharmaceutical University, Guangzhou, China.

Guangdong Provincial Engineering Research Center for Precision Medicine in Esophageal Cancer, Guangdong Pharmaceutical University, Guangzhou, China.

出版信息

Front Oncol. 2025 Mar 14;15:1519355. doi: 10.3389/fonc.2025.1519355. eCollection 2025.

Abstract

The research and development of new anti-cancer drugs face challenges such as high costs, lengthy development cycles, and limited data on side effects. In contrast, the clinical safety and side effects of traditional drugs have been well established through long-term use. The development or repurposing of traditional drugs with potential applications in cancer treatment offers an economical, feasible, and promising strategy for new drug development. This article reviews the novel applications of traditional drugs in tumor immunotherapy, discussing how they can enhance tumor treatment efficacy through functional repositioning, while also reducing development time and costs. Recent advancements in cancer immunotherapy have revolutionized treatment options, but resistance to ICIs remains a significant challenge. Drug repurposing has emerged as a promising strategy to identify novel agents that can enhance the efficacy of immunotherapies by overcoming ICI resistance. A study suggests that drug repositioning has the potential to modulate immune cell activity or alter the tumor microenvironment, thereby circumventing the resistance mechanisms associated with immune checkpoint blockade. This approach provides a rapid and cost-effective pathway for identifying therapeutic candidates that can be quickly transitioned into clinical trials. To improve the effectiveness of tumor immunotherapy, it is crucial to explore systematic methods for identifying repurposed drug candidates. Methods such as high-throughput screening, computational drug repositioning, and bioinformatic analysis have been employed to efficiently identify potential candidates for cancer treatment. Furthermore, leveraging databases related to immunotherapy and drug repurposing can provide valuable resources for drug discovery and facilitate the identification of promising compounds. It focuses on the latest advancements in the use of antidiabetic drugs, antihypertensive agents, weight-loss medications, antifungal agents, and antiviral drugs in tumor immunotherapy, examining their mechanisms of action, clinical application prospects, and associated challenges. In this context, our aim is to explore these strategies and highlight their potential for expanding the therapeutic options available for cancer immunotherapy, providing valuable references for cancer research and treatment.

摘要

新型抗癌药物的研发面临着成本高、研发周期长以及副作用数据有限等挑战。相比之下,传统药物的临床安全性和副作用已通过长期使用得到了充分确立。开发具有癌症治疗潜在应用的传统药物或对其进行重新利用,为新药研发提供了一种经济、可行且有前景的策略。本文综述了传统药物在肿瘤免疫治疗中的新应用,探讨了它们如何通过功能重新定位提高肿瘤治疗效果,同时还能缩短研发时间和降低成本。癌症免疫治疗的最新进展彻底改变了治疗选择,但对免疫检查点抑制剂(ICI)的耐药性仍然是一个重大挑战。药物重新利用已成为一种有前景的策略,以识别能够通过克服ICI耐药性来提高免疫治疗效果的新型药物。一项研究表明,药物重新利用有可能调节免疫细胞活性或改变肿瘤微环境,从而规避与免疫检查点阻断相关的耐药机制。这种方法为识别可快速进入临床试验的治疗候选药物提供了一条快速且经济高效的途径。为了提高肿瘤免疫治疗的有效性,探索系统的方法来识别重新利用的药物候选物至关重要。高通量筛选、计算药物重新利用和生物信息分析等方法已被用于有效识别癌症治疗的潜在候选药物。此外,利用与免疫治疗和药物重新利用相关的数据库可为药物发现提供有价值的资源,并有助于识别有前景的化合物。本文重点介绍了抗糖尿病药物、抗高血压药物、减肥药物、抗真菌药物和抗病毒药物在肿瘤免疫治疗中的最新应用进展,研究了它们的作用机制、临床应用前景及相关挑战。在此背景下,我们的目的是探索这些策略,并突出它们在扩大癌症免疫治疗可用治疗选择方面的潜力,为癌症研究和治疗提供有价值的参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2a7/11949826/f43d746cada1/fonc-15-1519355-g001.jpg

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