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Differential network entropy reveals cancer system hallmarks.

West, J; Bianconi, G; Severini, S; Teschendorff, AE; (2012) Differential network entropy reveals cancer system hallmarks. Sci Rep , 2 , Article 802. 10.1038/srep00802. Green open access

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Abstract

The cellular phenotype is described by a complex network of molecular interactions. Elucidating network properties that distinguish disease from the healthy cellular state is therefore of critical importance for gaining systems-level insights into disease mechanisms and ultimately for developing improved therapies. By integrating gene expression data with a protein interaction network we here demonstrate that cancer cells are characterised by an increase in network entropy. In addition, we formally demonstrate that gene expression differences between normal and cancer tissue are anticorrelated with local network entropy changes, thus providing a systemic link between gene expression changes at the nodes and their local correlation patterns. In particular, we find that genes which drive cell-proliferation in cancer cells and which often encode oncogenes are associated with reductions in network entropy. These findings may have potential implications for identifying novel drug targets.

Type: Article
Title: Differential network entropy reveals cancer system hallmarks.
Location: England
Open access status: An open access version is available from UCL Discovery
DOI: 10.1038/srep00802
Publisher version: http://dx.doi.org/10.1038/srep00802
Language: English
Additional information: © 2012 Macmillan Publishers Limited. All Rights Reserved. This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/3.0/ PMCID: PMC3496163
Keywords: Cell Cycle, Cell Proliferation, Entropy, Gene Expression Regulation, Neoplastic, Humans, Neoplasms, Protein Interaction Maps
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/1372975
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