1. Academic Validation
  2. Integration of an LPAR1 Antagonist into Liposomes Enhances Their Internalization and Tumor Accumulation in an Animal Model of Human Metastatic Breast Cancer

Integration of an LPAR1 Antagonist into Liposomes Enhances Their Internalization and Tumor Accumulation in an Animal Model of Human Metastatic Breast Cancer

  • Mol Pharm. 2023 Oct 16. doi: 10.1021/acs.molpharmaceut.3c00348.
Rudolf G Abdelmessih 1 Jiaming Xu 1 Francisco R Hung 1 Debra T Auguste 1
Affiliations

Affiliation

  • 1 Department of Chemical Engineering, Northeastern University, 360 Huntington Avenue, Boston, Massachusetts 02115, United States.
Abstract

Lysophosphatidic acid receptor 1 (LPAR1) is elevated in breast Cancer. The deregulation of LPAR1, including the function and level of expression, is linked to Cancer initiation, progression, and metastasis. LPAR1 antagonists, AM095 or Ki16425, may be effective therapeutic molecules, yet their limited water solubility hinders in vivo delivery. In this study, we report on the synthesis of two liposomal formulations incorporating AM095 or Ki16425, embedded within the lipid bilayer, as targeted nanocarriers for metastatic breast Cancer (MBC). The data show that the Ki16425 liposomal formulation exhibited a 50% increase in internalization by MBC mouse epithelial cells (4T1) and a 100% increase in tumor accumulation in a mouse model of MBC compared with that of a blank liposomal formulation (control). At the same time, normal mouse epithelial cells (EpH-4Ev) internalized the Ki16425 liposomal formulation 25% lesser than the control formulation. Molecular dynamics simulations show that the integration of AM095 or Ki16425 modified the physical and mechanical properties of the lipid bilayer, making it more flexible in these liposomal formulations compared with liposomes without drug. The incorporation of an LPAR1 Antagonist within a liposomal Drug Delivery system represents a viable therapeutic approach for targeting the LPA-LPAR1 axis, which may hinder the progression of MBC.

Keywords

Ki161425; LPAR1; LPAR1 antagonist; drug delivery; metastatic breast cancer; molecular dynamics simulation.

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