Analysis of cancer signaling networks by systems biology to develop therapies
- PMID: 21511035
- DOI: 10.1016/j.semcancer.2011.04.001
Analysis of cancer signaling networks by systems biology to develop therapies
Abstract
Cancer is a complex and heterogeneous disease, demonstrating variations with respect to tumor types and between individual tumors. This heterogeneity has complicated the search for 'magic bullets'-individual genes or pathways that could be targeted and have beneficial effects for large numbers of patients. Instead, recent studies suggest that cancer can be more effectively analyzed through the use of systems biology techniques that examine multiple pathways and account for interactions between these pathways. In this review, we outline the various ways in which systems biology can be utilized to translate high-throughput data into a signaling network and then computationally analyze how cells make decisions based on the information flow through this network. We then discuss recent studies utilizing network-level analysis to reveal therapeutic targets, predict which tumors will be sensitive to existing drugs, and develop combinatorial therapies that target multiple pathways, demonstrating the potential for systems biology to revolutionize cancer therapy.
Copyright © 2011 Elsevier Ltd. All rights reserved.
Similar articles
-
Systems biology of apoptosis signaling networks.Curr Opin Biotechnol. 2010 Aug;21(4):551-5. doi: 10.1016/j.copbio.2010.07.001. Epub 2010 Jul 30. Curr Opin Biotechnol. 2010. PMID: 20674332 Review.
-
Genes and pathways contributing to obesity: a systems biology view.Prog Mol Biol Transl Sci. 2010;94:9-38. doi: 10.1016/B978-0-12-375003-7.00002-9. Prog Mol Biol Transl Sci. 2010. PMID: 21036321 Review.
-
Dynamic modeling and analysis of cancer cellular network motifs.Integr Biol (Camb). 2011 Jul;3(7):724-32. doi: 10.1039/c0ib00145g. Epub 2011 Jun 15. Integr Biol (Camb). 2011. PMID: 21674097 Review.
-
Network-based analysis of complex diseases.IET Syst Biol. 2012 Feb;6(1):22-33. doi: 10.1049/iet-syb.2010.0052. IET Syst Biol. 2012. PMID: 22360268 Review.
-
Optimizing targeted cancer therapy: towards clinical application of systems biology approaches.Crit Rev Oncol Hematol. 2012 May;82(2):171-86. doi: 10.1016/j.critrevonc.2011.05.002. Crit Rev Oncol Hematol. 2012. PMID: 21641230 Review.
Cited by
-
The Many Microenvironments of Ovarian Cancer.Adv Exp Med Biol. 2020;1296:199-213. doi: 10.1007/978-3-030-59038-3_12. Adv Exp Med Biol. 2020. PMID: 34185294 Free PMC article. Review.
-
Cancer Metabolism and Drug Resistance.Metabolites. 2015 Sep 30;5(4):571-600. doi: 10.3390/metabo5040571. Metabolites. 2015. PMID: 26437434 Free PMC article. Review.
-
Disentangling the Complexity of HGF Signaling by Combining Qualitative and Quantitative Modeling.PLoS Comput Biol. 2015 Apr 23;11(4):e1004192. doi: 10.1371/journal.pcbi.1004192. eCollection 2015 Apr. PLoS Comput Biol. 2015. PMID: 25905717 Free PMC article.
-
Mathematical modeling of folate metabolism.Wiley Interdiscip Rev Syst Biol Med. 2013 Sep-Oct;5(5):603-13. doi: 10.1002/wsbm.1227. Epub 2013 May 22. Wiley Interdiscip Rev Syst Biol Med. 2013. PMID: 23703958 Free PMC article.
-
Identifying Biomarkers and Drug Targets Using Systems Biology Approaches for Pancreatic Cancer.Pancreat Disord Ther. 2012 Dec 6;2(4):1000e128. doi: 10.4172/2165-7092.1000e128. Pancreat Disord Ther. 2012. PMID: 23378937 Free PMC article. No abstract available.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources