MSACL 2019 US Abstract

Predicting an Early Response of Tissue to Pharmacological Treatment Prior to Changes in Histology

Katy Margulis (1), Sarah Noll (1), Zhenpeng Zhou(1), Rosalie Nolley (2),Hongjuan Zhao(2), Alice Fan (3), Donna Peehl (2), Richard Zare(1)
(1) Department of Chemistry, Stanford University, Stanford, CA 94305, USA (2)Department of Urology, Stanford University School of Medicine, Stanford, CA 94305, USA, (3)Division of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA

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Katy Margulis (Presenter) Stanford University

Presenter Bio: I am a pharmacist by training, holding a BPharm degree from the School of Pharmacy, the Hebrew University of Jerusalem, Israel. After working for several years in pharmaceutical industry, I returned to the graduate school, and obtained my PhD in Chemistry from the Institute of Applied Chemistry, the Hebrew University of Jerusalem, Israel. I then started my postdoctoral research at Stanford University, in the group of Prof. Richard Zare. Here, I was exposed for the first time to mass spectrometry imaging (MSI), and found this field extremely fascinating and capable of driving important scientific discoveries in the medical field. I hope to be able to expand this impact to clinical pharmacy, by predicting the sensitivity of various pathologies to drug treatment.

Relevant Financial Disclosures (within past 24 months) No relevant financial relationship(s) to disclose. Discussing Products? NO, presenter will NOT present educational content related to products/services of the ineligible company(ies) listed above. Conflict mitigation NOT REQUIRED.

By in situ analysis of metabolic changes that occur in pathological tissues early during treatment using Desorption Electrospray Ionization Mass Spectrometry Imaging (DESI-MSI), the susceptibility to the treatment can be predicted before any histological changes in tissue are detected.