借力推动前列腺癌 CAR-T 细胞治疗进展
Piggybacking toward Progress for CAR T-Cell Therapy in Prostate Cancer.
CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题:The Research Progress of Tumor-Associated Macrophages in Prostate Cancer.
The Research Progress of Tumor-Associated Macrophages in Prostate Cancer.
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前列腺癌(PCa)是男性全球癌症负担的重要组成部分,其治疗受到免疫抑制性肿瘤微环境制约。在这一背景下,PCa初期对免疫治疗的应答较好;但随着疾病进展,肿瘤会逐渐产生免疫治疗耐药,肿瘤相关巨噬细胞(TAM)是其中的重要驱动因素。TAM促进炎症、血管生成、基质重塑和免疫逃逸,进而推动去势抵抗性PCa形成。单细胞RNA测序细化了传统M1/M2二分法,例如增殖型TAM(Prolif-TAM)和免疫调节型TAM(Reg-TAM)。本文进一步讨论信号通路如何调节TAM极化,并研究TAM驱动PCa进展及免疫治疗耐药的多维机制,以及巨噬细胞胞外诱捕网(MET)在PCa转移中的作用。靶向TAM以精准治疗PCa是一种有前景的策略,包括阻断腺苷通路以抑制SPP1高表达TAM、采用免疫检查点抑制剂(ICI)重编程TAM以恢复嵌合抗原受体(CAR)T细胞活性,以及使用miRNA和天然化合物调节TAM极化等新方法。
然而,这些治疗仍面临TME复杂、TAM异质性、药物生产和递送障碍及毒性管理等挑战。本文旨在依据患者肿瘤中TAM亚群的组成、功能状态和信号依赖性制定个体化靶向策略,推动从“一刀切”模式转向精准医疗。
Prostate cancer (PCa) is a major global cancer burden in men, and its treatment is hindered by the immunosuppressive tumor microenvironment. In this context, PCa initially shows a favorable response to immunotherapy.
However, as the disease progresses, the tumor gradually develops resistance to immunotherapy, with tumor-associated macrophages (TAMs) being key drivers. TAMs promote inflammation, angiogenesis, stromal remodeling, and immune evasion, leading to the development of castration-resistant PCa. The traditional M1/M2 dichotomy, such as proliferative-TAM (Prolif-TAM) and immunoregulatory-TAM (Reg-TAM), has been refined by single-cell RNA sequencing.
In this article, we further discuss how signaling pathways regulate TAM polarization and investigate the multidimensional mechanisms by which TAMs drive PCa progression, the pathways that promote immunotherapy resistance, and the role of macrophage extracellular traps (METs) in PCa metastasis. Targeting TAMs for precision treatment of PCa is a promising therapeutic strategy.
These strategies include blocking the adenosine pathway to inhibit SPP1 hi -TAMs, reprogramming TAMs with immune checkpoint inhibitors (ICIs) to restore chimeric antigen receptor (CAR)-T cell activity, and novel approaches such as using microRNAs (miRNAs) and natural compounds to modulate TAM polarization.
However, these treatment modalities still face challenges, including the complexity of the tumor microenvironment (TME) and TAM heterogeneity, obstacles in drug production and delivery, and toxicity management. This article aims to develop individualized targeting strategies based on the composition, functional status, and signaling dependencies of TAM subpopulations within patient tumors, with the hope of transitioning from a "one-size-fits-all" approach to precision medicine.
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