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Optimizing nanoparticle design for selective targeting of breast cancer cells
Sarah Iaquinta1, Shahram Khazaie2, Sylvain Fréour2
1GEM-UMR CNRS 6183, University of Nantes - Centrale Nantes, I.U.T. de Saint-Nazaire, Saint-Nazaire, France; LMGC, IMT Mines Ales, Univ Montpellier, CNRS, Ales, France.
None:
Recent efforts in cancer targeting have focused on nanoparticle (NP) drug delivery, yet the complexity of NP uptake makes experimental studies challenging. To streamline this, numerical models help identify key parameters. This study's model, focusing on elliptical NPs, aims to optimize NP aspect ratios for selective uptake by breast cancer cells. Mechanical properties of cells were taken from literature, and the model suggests that non-deformable NPs with aspect ratios between 1/3 and 1/2 are optimal for selective cancer cell internalization. These promising results require experimental validation.
