Despite significant advances in chemotherapy, the effective treatment of malignant masses via systemically injectable agents are still limited by insufficient accumulation at the biological target (<< 10% injected dose per gram tumor) and non-specific sequestration by the reticulo-endothelial system (tumor/liver < 0.1).
The goal of this proposal is to engineer Discoidal Polymeric Nanoconstructs (DPNs) to preferentially target the malignant neovasculature for the delivery of imaging agents, controlled release of therapeutic molecules and thermal energy. The central hypothesis is that the size, shape, surface properties and stiffness (4S parameters) of the DPNs can be controlled during synthesis, and that therapeutic molecules (Temozolomide), Gd(DOTA) complexes and ultra-small Super-Paramagnetic Iron Oxide nanoparticles (USPIOs) can be efficiently incorporated within the DPN polymeric matrix.
This will be achieved by pursuing 3 specific aims: i) synthesis and physico-chemical characterization of poly(lactic-co-glycolic acid)/poly(ethylene glycol) DPNs with multiple 4S combinations; ii) in-silico and in vitro rational selection of DPN configurations with preferential tumor deposition, low macrophage uptake and high loading; and iii) in-vivo testing of the DPN imaging and therapeutic performance in mice bearing Glioblastoma Multiforme (GBM).
The innovation stays in i) using synergistically three different targeting strategies (rational selection of the 4S parameters; magnetic guidance via external magnets acting on the USPIOs; specific ligand-receptor recognition of the tumor neovasculature); ii) combining therapeutic and imaging molecules within the same nanoconstruct; and iii) employing synergistically different therapeutic approaches (molecular and thermal ablation therapies). This would allow us to support minimally invasive screening via clinical imaging and enhance therapeutic efficacy in GBM patients.
Field of science
- /natural sciences/chemical sciences/inorganic chemistry/inorganic compounds
Call for proposal
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