Co-assembly of polymeric conjugates sensitizes neoadjuvant chemotherapy of triple-negative breast cancer with reduced systemic toxicity

三阴性乳腺癌 前药 癌症研究 乳腺癌 肿瘤微环境 药理学 体内 材料科学 结合 体内分布 全身给药 癌症 医学 内科学 生物 肿瘤细胞 生物技术 数学分析 数学
作者
Long Ren,Qianfeng Zhang,Wenjia Wang,Xiaoting Chen,Zhiqian Li,Qiyong Gong,Zhongwei Gu,Kui Luo
出处
期刊:Acta Biomaterialia [Elsevier BV]
卷期号:175: 329-340 被引量:12
标识
DOI:10.1016/j.actbio.2023.12.026
摘要

Rational design of polymeric conjugates could greatly potentiate the combination therapy of solid tumors. In this study, we designed and prepared two polymeric conjugates (HT-DTX and PEG-YC-1), whereas the drugs were attached to the PEG via a linker sensitive to cathepsin B, over-expressed in TNBC. Stable nanostructures were formed by these two polymer prodrug conjugates co-assembly (PPCC). The stimuli-responsiveness of PPCC was confirmed, and the size shrinkage under tumor microenvironment would facilitate the penetration of PPCC into tumor tissue. In vitro experiments revealed the molecular mechanism for the synergistic effect of the combination of DTX and YC-1. Moreover, the systemic side effects were significantly diminished since the biodistribution of PPCC was improved after i.v. administration in vivo. In this context, the co-assembled nano-structural approach could be employed for delivering therapeutic drugs with different mechanisms of action to exert a synergistic anti-tumor effect against solid tumors, including triple-negative breast cancer. •Co-assembly of polymeric prodrug conjugates could form stable and homogeneous nanostructures, improving cellular uptake by cancer cells and in vivo tumor penetration and retention. •Co-delivery of neoadjuvant therapeutic drug (DTX) and HIF-1α inhibitor (YC-1) synergizes the anti-tumor effect by affecting HIF-1α expression and G2/M phase arrest. •Polymer prodrug conjugates co-assembly (PPCC) could reverse tumor resistance to neoadjuvant therapy, retard tumor progression, and prevent lung metastasis with reduced systemic toxicity in a murine triple-negative breast cancer model.
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