title: A systems biology approach to personalizing therapeutic combinations.
abstract: The identification of evidence-based, efficacious drug combinations for each cancer, among thousands of potential permutations, is a daunting task. In this perspective, we propose a systematic approach to defining such combinations by molecularly benchmarking a drug against a desired state of efficacy using model systems.
authors: 1Department of Genomic Medicine and 2Institute for Applied Cancer Science, The University of Texas MD Anderson Cancer Center, Houston, Texas.
authors: Lawrence N
authors: LN
authors: Kwong
authors: Timothy P
authors: TP
authors: Heffernan
authors: Lynda
authors: L
authors: Chin
mesh_terms: D000971:Antineoplastic Combined Chemotherapy Protocols; D003198:Computer Simulation; D016208:Databases, Factual; D019317:Evidence-Based Medicine; D006801:Humans; D058990:Molecular Targeted Therapy / Q000379:methods*; D009369:Neoplasms / Q000188:drug therapy* / Q000235:genetics*; D057285:Precision Medicine; D049490:Systems Biology / Q000379:methods*