靶向巨噬细胞的癌症治疗策略
Macrophage-directed therapeutic strategies in cancer.
肿瘤相关巨噬细胞(TAMs)是肿瘤微环境的主要组成部分,具有显著的功能可塑性,根据所处的微环境信号,既可表现为促进肿瘤进展的免疫抑制细胞,也可表现为支持抗肿瘤免疫的免疫刺激细胞。
英文原题:Targeting the tumour cell surface in advanced prostate cancer.
前列腺癌仍是重大的健康挑战,全球男性每年因此死亡超过 375,000 例。
前列腺癌仍是重大健康挑战,全球男性每年相关死亡超过 375,000 例。多数前列腺癌相关死亡归因于对标准治疗产生耐药。对治疗耐药前列腺癌复杂多样的细胞表面蛋白组进行表征,加之利用细胞表面蛋白改善药物递送或激活免疫系统的药物研发进展,为靶向晚期前列腺癌带来新的治疗机会。可利用前列腺癌表面蛋白组中的前列腺特异性膜抗原(PSMA)、B7-H3、前列腺六跨膜上皮抗原 1(STEAP1)、delta 样配体 3(DLL3)、滋养层细胞表面抗原 2(TROP2)、前列腺干细胞抗原(PSCA)、HER3、CD46 和 CD36 等作为治疗靶点。调控机制可能导致这些蛋白表达异质,进而影响治疗应答和耐药。靶向表面蛋白组的特定治疗策略正在临床开发中,包括放射性核素、抗体-药物偶联物、T 细胞衔接器和嵌合抗原受体(CAR)T 细胞。最终,进一步了解各类靶点的生物学、不同药物的靶点特异性和敏感性,以及脱靶和毒性效应,将指导并改进这些药物的生物标志物开发及临床应用。了解细胞表面靶点的动态特性和非重叠表达模式,也可能推动未来联合治疗策略。
Prostate cancer remains a substantial health challenge, with >375,000 annual deaths amongst men worldwide. Most prostate cancer-related deaths are attributable to the development of resistance to standard-of-care treatments. Characterization of the diverse and complex surfaceome of treatment-resistant prostate cancer, combined with advances in drug development that leverage cell-surface proteins to enhance drug delivery or activate the immune system, have provided novel therapeutic opportunities to target advanced prostate cancer. The prostate cancer surfaceome, including proteins such as prostate-specific membrane antigen (PSMA), B7-H3, six transmembrane epithelial antigen of the prostate 1 (STEAP1), delta-like ligand 3 (DLL3), trophoblastic cell-surface antigen 2 (TROP2), prostate stem cell antigen (PSCA), HER3, CD46 and CD36, can be exploited as therapeutic targets, as regulatory mechanisms might contribute to the heterogeneity of expression of these proteins and subsequently affect treatment response and resistance. Specific treatment strategies targeting the surfaceome are in clinical development, including radionuclides, antibody-drug conjugates, T cell engagers and chimeric antigen receptor (CAR) T cells. Ultimately, biomarker development and clinical implementation of these agents will be informed and refined by further understanding of the biology of various targets; the target specificity and sensitivity of different agents; and off-target and toxic effects associated with these agents. Understanding the dynamic nature of cell-surface targets and non-overlapping expression patterns might also lead to future combinational strategies.
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