title: Kinase inhibitors can produce off-target effects and activate linked pathways by retroactivity.
abstract: BACKGROUND
  It has been shown in experimental and theoretical work that covalently modified signaling cascades naturally exhibit bidirectional signal propagation via a phenomenon known as retroactivity. An important consequence of retroactivity, which arises due to enzyme sequestration in covalently modified signaling cascades, is that a downstream perturbation can produce a response in a component upstream of the perturbation without the need for explicit feedback connections. Retroactivity may, therefore, play an important role in the cellular response to a targeted therapy. Kinase inhibitors are a class of targeted therapies designed to interfere with a specific kinase molecule in a dysregulated signaling pathway. While extremely promising as anti-cancer agents, kinase inhibitors may produce undesirable off-target effects by non-specific interactions or pathway cross-talk. We hypothesize that targeted therapies such as kinase inhibitors can produce off-target effects as a consequence of retroactivity alone.
  
  
  RESULTS
  We used a computational model and a series of simple signaling motifs to test the hypothesis. Our results indicate that within physiologically and therapeutically relevant ranges for all parameters, a targeted inhibitor can naturally induce an off-target effect via retroactivity. The kinetics governing covalent modification cycles in a signaling network were more important for propagating an upstream off-target effect in our models than the kinetics governing the targeted therapy itself. Our results also reveal the surprising and crucial result that kinase inhibitors have the capacity to turn "on" an otherwise "off" parallel cascade when two cascades share an upstream activator.
  
  
  CONCLUSIONS
  A proper and detailed characterization of a pathway's structure is important for identifying the optimal protein to target as well as what concentration of the targeted therapy is required to modulate the pathway in a safe and effective manner. We believe our results support the position that such characterizations should consider retroactivity as a robust potential source of off-target effects induced by kinase inhibitors and other targeted therapies.
authors.affiliation: Center for Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, MI, USA.
authors.forename: Michelle L
authors.initials: ML
authors.lastname: Wynn
authors.forename: Alejandra C
authors.initials: AC
authors.lastname: Ventura
authors.forename: Jacques A
authors.initials: JA
authors.lastname: Sepulchre
authors.forename: Héctor J
authors.initials: HJ
authors.lastname: García
authors.forename: Sofia D
authors.initials: SD
authors.lastname: Merajver
mesh_terms: D003198:Computer Simulation; D053858:Metabolic Networks and Pathways; D008954:Models, Biological; D047428:Protein Kinase Inhibitors / Q000378:metabolism*; D015398:Signal Transduction; D049490:Systems Biology
chemical_list: D047428:Protein Kinase Inhibitors