A predictive phosphorylation signature of lung cancer.

PloS One
Chang-Jiun WuMartin Steffen

Abstract

Aberrant activation of signaling pathways drives many of the fundamental biological processes that accompany tumor initiation and progression. Inappropriate phosphorylation of intermediates in these signaling pathways are a frequently observed molecular lesion that accompanies the undesirable activation or repression of pro- and anti-oncogenic pathways. Therefore, methods which directly query signaling pathway activation via phosphorylation assays in individual cancer biopsies are expected to provide important insights into the molecular "logic" that distinguishes cancer and normal tissue on one hand, and enables personalized intervention strategies on the other. We first document the largest available set of tyrosine phosphorylation sites that are, individually, differentially phosphorylated in lung cancer, thus providing an immediate set of drug targets. Next, we develop a novel computational methodology to identify pathways whose phosphorylation activity is strongly correlated with the lung cancer phenotype. Finally, we demonstrate the feasibility of classifying lung cancers based on multi-variate phosphorylation signatures. Highly predictive and biologically transparent phosphorylation signatures of lung cancer provide evid...Continue Reading

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Citations

Jun 26, 2014·PloS One·Carrie V BretonUNKNOWN Asthma BRIDGE consortium
Jun 12, 2010·Expert Review of Proteomics·Giuseppe Palmisano, Tine E Thingholm
Feb 5, 2013·Journal of Proteomics·Marco PrunottoSolange Moll
Jul 12, 2013·Nature Reviews. Cancer·Emileigh K GreuberAnn Marie Pendergast
Jan 1, 2012·Cancer Nanotechnology·Emad Y Moawad

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Methods Mentioned

BETA
biopsy
chip

Software Mentioned

Biocarta
R package

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