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肿瘤微环境靶向聚谷氨酸基组合偶联物增强三阴性乳腺癌治疗

Tumor microenvironment-targeted poly-L-glutamic acid-based combination conjugate for enhanced triple negative breast cancer treatment.

机构信息

Polymer Therapeutics Laboratory, Centro de Investigación Príncipe Felipe, Av. Eduardo Primo Yúfera 3, Valencia, 46012, Spain.

Polymer Therapeutics Laboratory, Centro de Investigación Príncipe Felipe, Av. Eduardo Primo Yúfera 3, Valencia, 46012, Spain.

出版信息

Biomaterials. 2018 Dec;186:8-21. doi: 10.1016/j.biomaterials.2018.09.023. Epub 2018 Sep 18.

Abstract

The intrinsic characteristics of the tumor microenvironment (TME), including acidic pH and overexpression of hydrolytic enzymes, offer an exciting opportunity for the rational design of TME-drug delivery systems (DDS). We developed and characterized a pH-responsive biodegradable poly-L-glutamic acid (PGA)-based combination conjugate family with the aim of optimizing anticancer effects. We obtained combination conjugates bearing Doxorubicin (Dox) and aminoglutethimide (AGM) with two Dox loadings and two different hydrazone pH-sensitive linkers that promote the specific release of Dox from the polymeric backbone within the TME. Low Dox loading coupled with a short hydrazone linker yielded optimal effects on primary tumor growth, lung metastasis (∼90% reduction), and toxicological profile in a preclinical metastatic triple-negative breast cancer (TNBC) murine model. The use of transcriptomic analysis helped us to identify the molecular mechanisms responsible for such results including a differential immunomodulation and cell death pathways among the conjugates. This data highlights the advantages of targeting the TME, the therapeutic value of polymer-based combination approaches, and the utility of -omics-based analysis to accelerate anticancer DDS.

摘要

肿瘤微环境(TME)的固有特性,包括酸性 pH 值和水解酶的过度表达,为合理设计 TME 药物传递系统(DDS)提供了一个令人兴奋的机会。我们开发并表征了一组 pH 响应性可生物降解的聚谷氨酸(PGA)基组合缀合物,旨在优化抗癌效果。我们获得了载有阿霉素(Dox)和氨鲁米特(AGM)的组合缀合物,两种 Dox 载药量和两种不同的腙 pH 敏感连接子,可促进 Dox 在 TME 内从聚合物主链特异性释放。低 Dox 载药量与短腙连接子结合使用,可在临床前转移性三阴性乳腺癌(TNBC)小鼠模型中对原发性肿瘤生长、肺转移(减少约 90%)和毒理学特征产生最佳效果。转录组分析的使用帮助我们确定了导致这些结果的分子机制,包括缀合物之间的免疫调节和细胞死亡途径的差异。这些数据突出了针对 TME 的优势、基于聚合物的组合方法的治疗价值以及基于组学的分析在加速抗癌 DDS 方面的应用。

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