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一种针对酸性肿瘤微环境的化疗方法:质子泵抑制剂与紫杉醇联合用于统计学优化的纳米治疗剂。

A chemotherapeutic approach targeting the acidic tumor microenvironment: combination of a proton pump inhibitor and paclitaxel for statistically optimized nanotherapeutics.

作者信息

Bhattacharya Saswati, Khanam Jasmina, Sarkar Pradipta, Pal Tapan Kumar

机构信息

Department of Pharmaceutical Technology, Jadavpur University Kolkata 700032 India

Bioequivalence Study Centre, Jadavpur University Kolkata-700032 India.

出版信息

RSC Adv. 2019 Jan 2;9(1):240-254. doi: 10.1039/c8ra08924h. eCollection 2018 Dec 19.

DOI:10.1039/c8ra08924h
PMID:35521568
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9059297/
Abstract

Paclitaxel (PTX) is a major chemotherapeutic drug that is effective against a wide variety of cancers, particularly breast, ovarian and lung cancer. For a weakly basic chemotherapeutic drug such as PTX, the development of the acidic tumor microenvironment (Warburg effect) has a remarkable impact on therapeutic resistance. The present approach takes advantage of the acidic tumor microenvironment by incorporating lansoprazole (LAN), a proton pump inhibitor (PPI), with PTX as a potent therapeutic combination that is capable of reversing PTX resistance. To deliver optimal amounts of the drugs to neoplastic cells, a nano drug delivery system was selected. To design the nanoformulation process in a limited framework, typical formulation parameters were optimized and validated by the application of response surface methodology (RSM) using Box-Behnken design (BBD). On the basis of critical quality aspects, the experimental design helped to determine the optimal particle size (243.7 nm), zeta potential (-9.14 mV) and encapsulation efficiencies (88.91% and 80.35% for PTX and LAN respectively). The optimized formulation (PTX-LAN-PLGA-NPs) exhibited sustained release profiles over 384 hours for both the encapsulated drugs. The Korsmeyer-Peppas model was found to be the best fitted model for the release kinetics, where the release mechanism follows Fickian diffusion. In anti-tumor efficacy experiments using Michigan Cancer Foundation-7 (MCF-7) breast cancer cells, the PTX-LAN-PLGA-NPs exhibited a steep decrease in cell viability compared to the pure drugs. Taken together, the results strongly support that incorporation of PTX and LAN in nanoparticles (NPs) is a promising approach for cancer chemotherapy.

摘要

紫杉醇(PTX)是一种主要的化疗药物,对多种癌症有效,尤其是乳腺癌、卵巢癌和肺癌。对于PTX这种弱碱性化疗药物,酸性肿瘤微环境(瓦伯格效应)的形成对治疗耐药性有显著影响。目前的方法是利用酸性肿瘤微环境,将质子泵抑制剂(PPI)兰索拉唑(LAN)与PTX结合,形成一种有效的治疗组合,能够逆转PTX耐药性。为了将最佳剂量的药物递送至肿瘤细胞,选择了一种纳米药物递送系统。为了在有限的框架内设计纳米制剂工艺,采用Box-Behnken设计(BBD)的响应面方法(RSM)对典型的制剂参数进行了优化和验证。基于关键质量属性,实验设计有助于确定最佳粒径(243.7 nm)、zeta电位(-9.14 mV)以及包封率(PTX和LAN分别为88.91%和80.35%)。优化后的制剂(PTX-LAN-PLGA-NPs)对两种包封药物均表现出超过384小时的缓释特性。发现Korsmeyer-Peppas模型最适合该释放动力学,其释放机制遵循菲克扩散。在使用密歇根癌症基金会-7(MCF-7)乳腺癌细胞的抗肿瘤疗效实验中,与纯药物相比,PTX-LAN-PLGA-NPs使细胞活力急剧下降。综上所述,结果有力地支持了将PTX和LAN掺入纳米颗粒(NPs)是一种有前景的癌症化疗方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f44c/9059297/15d82462c46c/c8ra08924h-f10.jpg
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