@inproceedings{b9b149640cf94bc9945cbd1d859a637e,
title = "Targeting fatty acid synthase to inhibit tumor growth and overcome taxane resistance",
abstract = "Aberrant metabolism mechanisms are a well-established hallmark of cancer. Exploiting tumor metabolism as a therapeutic target is being actively pursued. De novo synthesis of fatty acids by fatty acid synthase (FASN) is a particularly attractive mechanism to target because increased lipid synthesis is associated with more aggressive tumor. In particular, our work focuses on the reformulation of orlistat, an FDA-approved lipase inhibitor that also inhibits the thioesterase domain of FASN. We report on the rationale, synthesis, efficacy, delivery, and limitations of a novel nanoparticle formulation of orlistat in the goal of targeting the FASN pathway.",
keywords = "Chemoresistance, Drug delivery, Fatty acid synthase (FASN), Hyaluronic acid, Lipogenesis, Nanoparticle, Synergy, Tumor metabolism",
author = "Souchek, {Joshua J.} and Lindsey Muraskin and Lucas Houser and Quyen Vu and Mohs, {Aaron M.}",
note = "Funding Information: We thank Deep Bhattacharya for technical assistance with confocal microscopy. This work was funded by the National Institute of General Medical Sciences (P20 GM103480), the National Institute of Biomedical Imaging and Bioengineering (R01 EB019449), and the Fred & Pamela Buffett Cancer Center at UNMC (P30 CA036727).; Visualizing and Quantifying Drug Distribution in Tissue III 2019 ; Conference date: 02-02-2019",
year = "2019",
doi = "10.1117/12.2512244",
language = "English (US)",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
publisher = "SPIE",
editor = "Chan, {Kin Foong} and Evans, {Conor L.}",
booktitle = "Visualizing and Quantifying Drug Distribution in Tissue III",
}