Models of cell signaling uncover molecular mechanisms of high-risk neuroblastoma and predict disease outcome.

ABSTRACT:

Background

Despite the progress in neuroblastoma therapies the mortality of high-risk patients is still high (40-50%) and the molecular basis of the disease remains poorly known. Recently, a mathematical model was used to demonstrate that the network regulating stress signaling by the c-Jun N-terminal kinase pathway played a crucial role in survival of patients with neuroblastoma irrespective of their MYCN amplification status. This demonstrates the enormous potential of computational models of biological modules for the discovery of underlying molecular mechanisms of diseases.

Results

Since signaling is known to be highly relevant in cancer, we have used a computational model of the whole cell signaling network to understand the molecular determinants of bad prognostic in n

SUBMITTER: Hidalgo MR 

PROVIDER: S-EPMC6106876 | biostudies-literature | 2018 Aug

REPOSITORIES: biostudies-literature