Signaling pathway models as biomarkers: Patient-specific simulations of JNK activity predict the survival of neuroblastoma patients

Title: Signaling pathway models as biomarkers: Patient-specific simulations of JNK activity predict the survival of neuroblastoma patients
Authors: Fey, DirkHalasz, MelindaDreidax, DanielKennedy, Sean P.Rauch, NoraGarcia Munoz, AmayaPilkington, RuthFischer, MatthiasKolch, WalterKholodenko, Boris N.Croucher, David R.et al.
Permanent link: http://hdl.handle.net/10197/7556
Date: 22-Dec-2015
Online since: 2016-04-08T11:43:47Z
Abstract: Signaling pathways control cell fate decisions that ultimately determine the behavior of cancer cells. Therefore, the dynamics of pathway activity may contain prognostically relevant information different from that contained in the static nature of other types of biomarkers. To investigate this hypothesis, we characterized the network that regulated stress signaling by the c-Jun N-terminal kinase (JNK) pathway in neuroblastoma cells. We generated an experimentally calibrated and validated computational model of this network and used the model to extract prognostic information from neuroblastoma patient–specific simulations of JNK activation. Switch-like JNK activation mediates cell death by apoptosis. An inability to initiate switch-like JNK activation in the simulations was significantly associated with poor overall survival for patients with neuroblastoma with or without MYCN amplification, indicating that patient-specific simulations of JNK activation could stratify patients. Furthermore, our analysis demonstrated that extracting information about a signaling pathway to develop a prognostically useful model requires understanding of not only components and disease-associated changes in the abundance or activity of the components but also how those changes affect pathway dynamics.
Funding Details: European Commission - Seventh Framework Programme (FP7)
Science Foundation Ireland
Funding Details: Breast Cancer Campaign UK
Cancer Institute NSW
Type of material: Journal Article
Publisher: American Society for the Advancement of Science
Journal: Science Signaling
Volume: 8
Issue: 408
Copyright (published version): 2015 the Authors
Keywords: Jun N-terminal kinase (JNK)JNK networkNeuroblastoma cellsMathematical modellingPrognostic utility
DOI: 10.1126/scisignal.aab0990
Language: en
Status of Item: Peer reviewed
This item is made available under a Creative Commons License: https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Appears in Collections:Conway Institute Research Collection
SBI Research Collection
Medicine Research Collection

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