Abstract A39: Identification and biostatistical analysis of conserved metabolic profiles in breast tumors from transgenic mouse models

Novel breast biomarkers with prognostic and therapeutic value include metabolites that are differentially expressed in breast tumors. The goal of this study is to identify global metabolic profiles of breast tumors derived from multiple established transgenic mouse models to gain insight into breast cancers of differing origin. We compared breast tumor samples to normal tissue and between cancer models from transgenic mouse breast cancer models overexpressing the following oncogenes: PyMT, PyMT-DB, Wnt1, Neu, and C3-TAg transgenic mice. Our breast tissue samples were analyzed on GC-MS and LC-MS/MS platforms, and analysis included 374 biochemical compounds of known identity.Comparison of global metabolic profiles between the different mouse breast cancer and normal tissue revealed many metabolic differences between genetic models. The vast majority of metabolomic profiles demonstrated differential levels of biochemicals between normal and tumor tissues consistent with changes in metabolism that support rapid growth. Breast tumors had increased glucose metabolism, amino acid metabolism, catabolism, and levels of the TCA cycle intermediates, consistent with increased energy production and anaplerotic contributions from amino acid catabolism. We also saw increased phospholipid metabolism, cholesterol uptake, and nucleotide metabolites.Combined with published gene expression data for these mouse models, we were able to conduct biostatistical analysis to search for correlation betw...
Source: Molecular Cancer Research - Category: Cancer & Oncology Authors: Tags: Cancer Metabolic Pathways: Poster Presentations - Proffered Abstracts Source Type: research