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用于激素反应性乳腺癌治疗的聚-L-谷氨酸基组合共轭物的合理设计。

Rational design of a poly-L-glutamic acid-based combination conjugate for hormone-responsive breast cancer treatment.

作者信息

Boix-Montesinos Paz, Medel María, Malfanti Alessio, Đorđević Snežana, Masiá Esther, Charbonnier David, Carrascosa-Marco Paula, Armiñán Ana, Vicent María J

机构信息

Polymer Therapeutics Lab., Príncipe Felipe Research Center, Av. Eduardo Primo Yúfera 3, 46012 Valencia, Spain.

Polymer Therapeutics Lab., Príncipe Felipe Research Center, Av. Eduardo Primo Yúfera 3, 46012 Valencia, Spain; Centro de Investigación Biomédica en Red en Cancer, (CIBERONC), Instituto de Salud Carlos III, Spain.

出版信息

J Control Release. 2024 Nov;375:193-208. doi: 10.1016/j.jconrel.2024.09.002. Epub 2024 Sep 10.

Abstract

Breast cancer represents the most prevalent tumor type worldwide, with hormone-responsive breast cancer the most common subtype. Despite the effectiveness of endocrine therapy, advanced disease forms represent an unmet clinical need. While drug combination therapies remain promising, differences in pharmacokinetic profiles result in suboptimal ratios of free drugs reaching tumors. We identified a synergistic combination of bisdemethoxycurcumin and exemestane through drug screening and rationally designed star-shaped poly-L-glutamic acid-based combination conjugates carrying these drugs conjugated through pH-responsive linkers for hormone-responsive breast cancer treatment. We synthesized/characterized single and combination conjugates with synergistic drug ratios/loadings. Physicochemical characterization/drug release kinetics studies suggested that lower drug loading prompted a less compact conjugate conformation that supported optimal release. Screening in monolayer and spheroid breast cancer cell cultures revealed that combination conjugates possessed enhanced cytotoxicity/synergism compared to physical mixtures of single-drug conjugates/free drugs; moreover, a combination conjugate with the lowest drug loading outperformed remaining conjugates. This candidate inhibited proliferation-associated signaling, reduced inflammatory chemokine/exosome levels, and promoted autophagy in spheroids; furthermore, it outperformed a physical mixture of single-drug conjugates/free drugs regarding cytotoxicity in patient-derived breast cancer organoids. Our findings highlight the importance of rational design and advanced in vitro models for the selection of polypeptide-based combination conjugates.

摘要

乳腺癌是全球最常见的肿瘤类型,激素反应性乳腺癌是最常见的亚型。尽管内分泌治疗有效,但晚期疾病形式仍存在未满足的临床需求。虽然联合药物疗法仍然很有前景,但药代动力学特征的差异导致到达肿瘤的游离药物比例不理想。我们通过药物筛选确定了双去甲氧基姜黄素和依西美坦的协同组合,并合理设计了基于星形聚-L-谷氨酸的组合缀合物,这些缀合物通过pH响应性接头连接这些药物,用于激素反应性乳腺癌的治疗。我们合成/表征了具有协同药物比例/载量的单一和组合缀合物。物理化学表征/药物释放动力学研究表明,较低的药物载量促使缀合物构象不那么紧密,从而支持最佳释放。在单层和球体乳腺癌细胞培养物中的筛选显示,与单一药物缀合物/游离药物的物理混合物相比,组合缀合物具有增强的细胞毒性/协同作用;此外,药物载量最低的组合缀合物优于其余缀合物。该候选物抑制增殖相关信号传导,降低炎症趋化因子/外泌体水平,并促进球体中的自噬;此外,在患者来源的乳腺癌类器官中,它在细胞毒性方面优于单一药物缀合物/游离药物的物理混合物。我们的研究结果强调了合理设计和先进的体外模型对于选择基于多肽的组合缀合物的重要性。

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