Beyond static biomarkers--The dynamic response potential of signaling networks as an alternate biomarker?
- PMID: 26696629
- DOI: 10.1126/scisignal.aad4989
Beyond static biomarkers--The dynamic response potential of signaling networks as an alternate biomarker?
Abstract
In this week's issue of Science Signaling, Fey et al. introduce a new type of biomarker. Using the example of neuroblastoma, the authors demonstrate that patient-specific differences in the computed property (the Hill coefficient) of the dynamics of a pathway involved in cell death signaling outperformed the prognostic capability of any single static biomarker alone or in combination.
Copyright © 2015, American Association for the Advancement of Science.
Comment on
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Signaling pathway models as biomarkers: Patient-specific simulations of JNK activity predict the survival of neuroblastoma patients.Sci Signal. 2015 Dec 22;8(408):ra130. doi: 10.1126/scisignal.aab0990. Sci Signal. 2015. PMID: 26696630
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