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工程化靶向 HER2 的脂质体纳米粒,提高对 HER2 阳性乳腺癌细胞的选择性,以实现增强的体内疗效。

Engineering peptide-targeted liposomal nanoparticles optimized for improved selectivity for HER2-positive breast cancer cells to achieve enhanced in vivo efficacy.

机构信息

Department of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, IN 46556, United States of America.

Department of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, IN 46556, United States of America; Harper Cancer Research Institute, University of Notre Dame, Notre Dame, IN 46556, United States of America.

出版信息

J Control Release. 2020 Jun 10;322:530-541. doi: 10.1016/j.jconrel.2020.04.010. Epub 2020 Apr 8.

Abstract

Here, we report rationally engineered peptide-targeted liposomal doxorubicin nanoparticles that have an enhanced selectivity for HER2-positive breast tumor cells with high purity, reproducibility, and precision in controlling stoichiometry of targeting peptides. To increase HER2-positive tumor cell selective drug delivery, we optimized the two most important design parameters, peptide density and linker length, via systematic evaluations of their effects on both in vitro cellular uptake and in vivo tumor accumulation and cellular uptake. The optimally designed nanoparticles were finally evaluated for their tumor inhibition efficacy using in vivo MMTV-neu transplantation mouse model. In vitro, we demonstrated that ~1% peptide density and EG8 linker were optimal parameters for targeted nanoparticle formulations to enhance HER2-positive cancer cellular uptake while preventing non-selectivity. In vivo results demonstrated that at 0.5% peptide density, enhancement of tumor cell uptake over non-targeted nanoparticles was ~2.7 fold and ~3.4 fold higher for targeted nanoparticles with EG8 and EG18 linker, respectively, while their accumulation levels at tumor tissue were similar to the non-targeted nanoparticles. These results were consistent with in vivo efficacy outcomes that ~90% tumor growth inhibition was achieved by Dox-loaded HER2 receptor targeted nanoparticles, TNP, over control while all nanoparticle formulations minimized overall systemic toxicity relative to free Dox. This study highlights the significance of understanding and optimizing the effects of liposomal nanoparticle design parameters for enhancement of tumor selectivity to achieve improved in vivo therapeutic outcomes.

摘要

在这里,我们报告了经过合理设计的肽靶向脂质体阿霉素纳米颗粒,这些纳米颗粒对 HER2 阳性乳腺癌细胞具有更高的选择性,纯度、重现性和靶向肽配体计量的精确性都得到了提高。为了增强 HER2 阳性肿瘤细胞的选择性药物传递,我们通过系统评估它们对体外细胞摄取和体内肿瘤积累和细胞摄取的影响,优化了两个最重要的设计参数,即肽密度和连接子长度。最后,我们使用体内 MMTV-neu 移植小鼠模型来评估优化后的纳米颗粒的肿瘤抑制效果。在体外,我们证明了 ~1%的肽密度和 EG8 连接子是针对靶向纳米颗粒制剂的最佳参数,可以增强 HER2 阳性癌细胞的摄取,同时防止非选择性。体内结果表明,在 0.5%的肽密度下,与非靶向纳米颗粒相比,靶向纳米颗粒(EG8 和 EG18 连接子)对肿瘤细胞摄取的增强分别约为 2.7 倍和约 3.4 倍,而它们在肿瘤组织中的积累水平与非靶向纳米颗粒相似。这些结果与体内疗效结果一致,即负载 Dox 的 HER2 受体靶向纳米颗粒 TNP 相对于对照组实现了约 90%的肿瘤生长抑制,而所有纳米颗粒制剂相对于游离 Dox 最小化了整体系统毒性。本研究强调了理解和优化脂质体纳米颗粒设计参数对增强肿瘤选择性以实现改善的体内治疗结果的重要性。

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