BUD31 and Lipid Metabolism: A New Potential Therapeutic Entry Point for Myc-Driven Breast Cancer

Abstract

Myc activation is common in breast cancer, correlated with triple negative disease, and associated with mortality. Thus, understanding Myc-driven breast cancer will facilitate knowledge of triple negative disease, a subtype of breast cancer with poor outcome and limited treatment options. Myc confers both pro- and anti-tumorigenic effects on cells suggesting a sensitive balancing act for survival downstream of Myc activation. Supporting pathways, while not oncogenic by themselves, are necessary to help cells tolerate Myc driven stresses. Since direct pharmacological targeting of Myc has been shown to be largely unsuccessful, our laboratory has performed a genome-wide RNAi screen to identify supporting genes that are required to tolerate Myc activation in human mammary epithelial cells (Kessler et al.). Through this screen, we have identified BUD31, a poorly understood gene, and components of the fatty acid oxidation pathway (hereafter FAMs- fatty acid oxidation Myc synthetic lethal genes) as required for tolerance of Myc driven stress and as putative new therapeutic entry points for Myc-driven breast cancer. Our preliminary data indicate that BUD31 physically interacts with FAMs suggesting a functional relationship between the two. Objective/Hypothesis: Based on these preliminary data, we hypothesize that Myc activation confers a dependence on BUD31 and FAMs for breast cancer survival through a mechanism involving physical and functional interaction between BUD31 and fatty acid oxidation.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 2015
Accession Number
ADA619281

Entities

People

  • Sarah Kurley

Organizations

  • Baylor College of Medicine

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Breast Cancer
  • Cancer
  • Cell Line
  • Cells
  • Data Analysis
  • Data Sets
  • Diseases And Disorders
  • Epithelial Cells
  • Fatty Acids
  • Lipid Metabolism
  • Low Density
  • Medical Personnel
  • Metabolism
  • Neoplasms
  • Professional Development
  • Regression Analysis
  • Training

Fields of Study

  • Biology

Readers

  • Oncology (Cancer Research).
  • Prostate Cancer Biology.