PDE5 inhibitors against cancer via mediating immune cells in tumor microenvironment: AI-based approach for future drug repurposing exploration

Zhenzhan Zhang, Donghua Huang, Junjie Feng, Wangji Li, Zhe Wang, Mengting Lu, Yangyang Luo, Weihao Yang, Zhou Xu, Qingfeng Xie, Wenfu Ding, Xin Tan, Wenjun He, Guoxin Li, Hao Liu, Shangtong Lei
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Abstract

Phosphodiesterase-5 (PDE5) inhibitors are used clinically for the treatment of erectile dysfunction, pulmonary arterial hypertension, and other urological diseases. Emerging evidences have suggested the therapeutic capacity of PDE5 inhibitors as the repurposed drugs in oncology. However, the essential immune function of PDE5 inhibitors against cancer in tumor microenvironment (TME) remains unclear. This review aimed to summarize the recent advances regarding the repurposing of PDE5 inhibitors as anti-cancer agents for cancer management to enhance the anti-tumor immune response by mediating various immune cells, which included the myeloid-derived suppressor cells, macrophages, T cells, fibroblasts, and natural killer cells in TME. Moreover, artificial intelligence (AI), as a new approach, is composed of traditional machine learning and deep learning methods and could be potentially used to identify the targets of immune cells in TME and predict the efficacy for repurposed drug toward malignancies. In summary, these endeavors provide novel insights into the comprehensive strategies for PDE5 inhibitors mediating immune cells against cancer and AI-based approach for future drug repurposing exploration.

Abstract Image

通过调解肿瘤微环境中的免疫细胞来对抗癌症的 PDE5 抑制剂:基于人工智能的未来药物再利用探索方法
磷酸二酯酶-5(PDE5)抑制剂在临床上用于治疗勃起功能障碍、肺动脉高压和其他泌尿系统疾病。新的证据表明,PDE5 抑制剂作为肿瘤学的再利用药物具有治疗能力。然而,PDE5 抑制剂在肿瘤微环境(TME)中抗癌的基本免疫功能仍不清楚。本综述旨在总结有关 PDE5 抑制剂作为抗癌药物用于癌症治疗的再利用的最新进展,以通过介导 TME 中的各种免疫细胞(包括髓源性抑制细胞、巨噬细胞、T 细胞、成纤维细胞和自然杀伤细胞)来增强抗肿瘤免疫反应。此外,人工智能(AI)作为一种新方法,由传统的机器学习和深度学习方法组成,可用于识别TME中免疫细胞的靶点,并预测针对恶性肿瘤的再利用药物的疗效。总之,这些努力为PDE5抑制剂介导免疫细胞抗癌的综合策略提供了新的见解,也为未来的药物再利用探索提供了基于人工智能的方法。
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