Abstract 2217: A systems pharmacogenomic approach to identify synergistic molecular mechanisms of combined mTOR/HDAC inhibition.
Authors: John K. Simmons, Aleksandra M. Michalowski, Ben Gamache, Jyoti Patel, Adriana Zingone, Ke Zhang, Michael Kuehl, Jing Huang, Ola Landgren, Beverly A. Mock
Journal: Cancer Research (2013)

Abstract The necessity of combining targeted therapeutics to achieve optimal, lasting clinical benefit is clear, but standardized approaches for identifying the interactive effects of these combinations are not yet established. Discerning drug synergy at the molecular level has proven particularly challenging, yet identification of cooperatively responding, biologically-relevant targets could be useful for defining patient subsets for which the combination would be active. Here we used a transcriptional co-expression systems-level analysis to define the cooperative molecular response to the synergistic combination of mTOR/HDAC inhibitors in multiple myeloma (MM), and in other tumor types including triple negative breast cancer. Co-expression analysis of cells treated individually and in combination defined the contribution of each drug to the combination, and identified a distinct network of 126 genes cooperatively targeted by both drugs. We interrogated the cooperative network genes for differential expression between normal and malignant cells, as well as for correlation with survival in a large patient dataset. 37 of the cooperatively affected genes were both differentially expressed in MM and predictive of survival (p&amp;lt;0.01). Analysis of additional tumor types showed similar results. The pharmacodynamic response of the survival-linked signature to the drug combination was evaluated using the NanoString gene expression platform in a large number of cell lines from multiple tumor types and in ex vivo-treated primary patient samples before and after treatment. We found the expression change of signature genes to be highly specific for biological response to the drug combination across tumor types. Additionally, to link the response signature to a central molecular effect of combination treatment, Ingenuity transcription factor enrichment testing was performed. Based on these predictions, subsequent analysis of CHIP-Seq datasets was performed, and two oncogenic transcription factors (TFs) were found to bind nearly all genes of this signature. We then experimentally linked drug combination response to diminished expression of these TFs at the protein level ahead of cell cycle and apoptotic changes. Further experiments have been performed to establish a direct link between these TFs, our gene signature, and drug response. Thus, a systems-level genomic approach has identified a gene signature indicative of drug combination activity, mechanism, disease specificity, and clinical potential. Citation Format: John K. Simmons, Aleksandra M. Michalowski, Ben Gamache, Jyoti Patel, Adriana Zingone, Ke Zhang, Michael Kuehl, Jing Huang, Ola Landgren, Beverly A. Mock. A systems pharmacogenomic approach to identify synergistic molecular mechanisms of combined mTOR/HDAC inhibition. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 2217. doi:10.1158/1538-7445.AM2013-2217