Co-encapsulation of PI3-K delta/HDAC6 dual inhibitor and Navitoclax in Quatramer (TM) nanoparticles for synergistic effect in ER plus breast cancer

INTERNATIONAL JOURNAL OF PHARMACEUTICS(2022)

引用 2|浏览5
暂无评分
摘要
Progression and metastasis of ER+ breast cancer depend on multiple signaling cascades. The available conventional treatment options have limited efficacy in ER+ breast cancer due to overexpression of AKT, c-Myc and BCL-2 proteins. Simultaneous targeting and inhibition of these targets in ER+ cancer may result in effective therapeutic outcomes. However, combining two or more free drug molecules to treat cancer leads to unsynchronised pharmacokinetics, toxicity, and eventual resistance development. To overcome these limitations, a novel nanoformulation of PI3-K delta/HDAC6 dual inhibitor in combination with Navitoclax is developed using Pluronic modified PLA based hybrid block copolymer. The prepared dual drug loaded PI3-K delta/HDAC6-NAV-NPs (1:3-NPs) have shown high encapsulation efficiency, hydrodynamic size, and polydispersity of similar to 93 %, 159 +/- 2.6 nm, and 0.19 +/- 0.03, respectively. These PI3-K delta/HDAC6-NAV-NPs exhibit slow and sustained release profiles of PI3-K delta/HDAC6 inhibitor and NAV in phosphate buffer saline (PBS, pH 7.4). The in-vitro cytotoxicity studies done with PI3-K delta/HDAC6-NAV-NPs in ER+ breast cancer cell lines have shown a synergistic effect with lower IC50 values compared to individual NAV-NPs and PI3-K delta/HDAC6-NPs. The PI3-K delta/HDAC6-NAV-NPs treatment (4 mg/kg, I.V., twice a week for three weeks) of ER+ breast cancer syngeneic mice tumor model resulted in complete tumor eradication without any overt toxicity. These results demonstrate that a unique formulation of a novel PI3-K delta/HDAC6 dual inhibitor in combination with Navitoclax represents an approach for an efficient treatment option for ER+ breast cancer.
更多
查看译文
关键词
ER+ breast cancer,PI3-K delta/HDAC6 dual inhibitor,BCL-2 and BCL-xL inhibitor,Combinatorial drug delivery,Pluronic,PLA
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要