www.impactjournals.com/oncotarget/ Oncotarget, 2017, Vol. 8, (No. 54), pp: 92926-92942 Research Paper Differential prioritization of therapies to subtypes of triple negative breast cancer using a systems medicine method Henri Wathieu1, Naiem T. Issa1,*, Aileen I. Fernandez1,*, Manisha Mohandoss2, Deanna M. Tiek1, Jennifer L. Franke1, Stephen W. Byers1,2, Rebecca B. Riggins1 and Sivanesan Dakshanamurthy1,2 1Georgetown-Lombardi Comprehensive Cancer Center, Department of Oncology, Georgetown University Medical Center, Washington, DC, 20057 USA 2Department of Biochemistry and Molecular Biology, Georgetown University, Washington, DC, 20057 USA *These authors have contributed equally to this work Correspondence to: Sivanesan Dakshanamurthy, email:
[email protected] Keywords: triple negative breast cancer, systems biology, gene expression analysis, molecular subtyping, drug development Received: April 02, 2017 Accepted: September 08, 2017 Published: October 09, 2017 Copyright: Wathieu et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License 3.0 (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ABSTRACT Triple negative breast cancer (TNBC) is a group of cancers whose heterogeneity and shortage of effective drug therapies has prompted efforts to divide these cancers into molecular subtypes. Our computational platform, entitled GenEx-TNBC, applies concepts in systems biology and polypharmacology to prioritize thousands of approved and experimental drugs for therapeutic potential against each molecular subtype of TNBC. Using patient-based and cell line-based gene expression data, we constructed networks to describe the biological perturbation associated with each TNBC subtype at multiple levels of biological action.