Combating cisplatin-resistant lung cancer using a coiled-coil peptides modified membrane fused drug delivery system.

J Control Release

State Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China; Institute of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China; Haihe Laboratory of Modern Chinese Medicine, Tianjin 301617, China. Electronic address:

Published: January 2025

Drug resistance to chemotherapy in treating cancers becomes an increasingly serious challenge, which leads to treatment failure and poor patient survival. Drug-resistant cancer cells normally reduce intracellular accumulation of drugs by controlling drug uptake and promoting drug efflux, which severely limits the efficacy of chemotherapy. To overcome this problem, a membrane fused drug delivery system (MF-DDS) was constructed to treat cisplatin (DDP)-resistant lung cancer (A549-DDP) by delivering DDP via membrane fusion using a complementary coiled-coil forming peptides (CPK/CPE). The lipopeptide CPK was pre-incubated firstly and decorated on the surface of A549-DDP cells, and then the cells interacted with the lipopeptide CPE modified on the lipid bilayer (LB) coated PLGA nanoparticles loading DDP (PLGA-DDP@LB-CPE), leads to the direct cytosolic DDP delivery and cancer cell death. Compared with free DDP, this MF-DDS achieved a 13.42-folds reduced IC value of A549-DDP cells in vitro, and tumor size was down-regulated, showing only 1/5.26 of the original weight in vivo. Meanwhile, the anti-drug resistant mechanism was explored, where the MF-DDS inhibited the expression of efflux protein genes including MRP1, MRP2, and ABCG2, leading to increased intracellular drug accumulations. Altogether, this MF-DDS effectively delivered DDP into DDP-resistant cancer cells, making it a promising and improved pharmacological therapeutic approach for drug-resistant tumor treatment.

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http://dx.doi.org/10.1016/j.jconrel.2025.01.004DOI Listing

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