MSACL 2019 US Abstract

Ambient Ionization Mass Spectrometry Imaging for Prognostic Metabolic Signatures in Clear Cell Renal Carcinoma (ccRCC)

Vijaya Lakshmi Kanchustambhama, Ryan Baina, Vishnu Shankarc, Richard N. Zarea, Robert J. Tibshiranib,c, Christian Kunderd, Rosalie Nolleye, James D. Brookse
aDepartment of Chemistry, Stanford University, Stanford, CA 94305; bDepartment of Biomedical Data Sciences, Stanford University, Stanford, CA 94305; cDepartment of Statistics, Stanford University, Stanford, CA 94305; dDepartment of Pathology, Stanford University School of Medicine, Stanford, CA 94305; and eDepartment of Urology, Stanford University School of Medicine, Stanford, CA 94305

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Vijaya Lakshmi Kanchustambham (Presenter) Stanford University

Presenter Bio: My research interest is to probe the spatio-temporal co-ordination of chemical reactions occurring in various biological systems, which provides molecular cues for unraveling the complex phenomena.During my PhD (mentor: Dr. Jyotishman Dasgupta, TIFR, India), I was focused on unraveling the molecular mechanisms of cis-trans isomerization of Prolycopene to all-trans-lycopene in photosynthetic organisms using time-resolved spectroscopy.In my Postdoctoral training (mentor: Dr. Richard N. Zare, Stanford University, Chemistry), I am trying to identify the biomarkers that can distinguish the positive and negative surgical margins of clear cell carcinoma tissues from patients after nephrectomy. Using Desorption electrospray ionization mass spectrometry imaging (DESI-MSI), we probe the metabolic profiles of tumor sections to understand the altered metabolism and underlying biochemical pathways.

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.

Using desorption electrospray ionization mass spectrometry imaging (DESI-MSI) under ambient conditions, we probe the altered metabolism in clear cell renal carcinoma (CCRCC), the most common (75%) and lethal sub-type of kidney cancer. DESI-MSI produces a spatial (2D) chemical map characteristic to the reprogrammed metabolism in cancer cells.Using DESI, we investigate the positive surgical margins (PSM) and negative surgical margins (NSM) of post nephrectomy. Our studies show that the elevated levels of lactate and glucose in PSM as cancer cells rely on aerobic glycolysis pathway. We observe a significant decrease in the abundance of free polyunsaturated fatty acids (PUFA) in PSM compared to NSM, implications to the cyclooxygenase (COX2) activity in kidney during inflammation and ethereal phospholipid metabolism in ccRCC.