Charge reversal yolk-shell liposome co-loaded JQ1 and doxorubicin with high drug loading and optimal ratio for synergistically enhanced tumor chemo-immunotherapy via blockade PD-L1 pathway.

Antitumor immunotherapy has become a powerful therapeutic modality to identify and kill various malignant tumors by harnessing the immune system. However, it is hampered by the immunosuppressive microenvironment and poor immunogenicity in malignant tumors. Herein, in order to achieve multi-loading of drugs with different pharmacokinetic properties and targets, a charge reversal yolk-shell liposome co-loaded with JQ1 and doxorubicin (DOX) into the poly (D,L-lactic-co-glycolic acid) (PLGA) yolk and the lumen of the liposome respectively was engineered to increase hydrophobic drug loading capacity and stability under physiological conditions and further enhance tumor chemotherapy via blockade programmed death ligand 1 (PD-L1) pathway. This nanoplatform could release less JQ1 compared to traditional liposomes to avoid drug leakage under physiological conditions due to the protection of liposomes on JQ1 loaded PLGA nanoparticles while the release of JQ1 increased in an acidic environment. In the tumor microenvironment, released DOX promoted immunogenic cell death (ICD), and JQ1 blocked the PD-L1 pathway to strengthen chemo-immunotherapy. The in vivo antitumor results demonstrated the collaborative treatment of DOX and JQ1 in B16-F10 tumor-bearing mice models with minimized systemic toxicity. Furthermore, the orchestrated yolk-shell nanoparticle system could enhance the ICD effect, caspase 3 activation, and cytotoxic T lymphocyte infiltration while inhibiting PD-L1 expression, provoking a strong antitumor effect, whereas yolk-shell liposomes encapsulating only JQ1 or DOX showed modest tumor therapeutic effects. Hence, the cooperative yolk-shell liposome strategy provides a potential candidate for enhancement of hydrophobic drug loading and stability, showing potential for clinic application and synergistic cancer chemo-immunotherapy.