Review
Systems Biology and the Molecular Circuits of Cancer
Article first published online: 29 SEP 2004
DOI: 10.1002/cbic.200400170
Copyright © 2004 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim
Issue
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ChemBioChem
Special Issue: Systems Biology & Chemistry
Volume 5, Issue 10, pages 1322–1333, October 4, 2004
Additional Information
How to Cite
Alberghina, L., Chiaradonna, F. and Vanoni, M. (2004), Systems Biology and the Molecular Circuits of Cancer. ChemBioChem, 5: 1322–1333. doi: 10.1002/cbic.200400170
Publication History
- Issue published online: 29 SEP 2004
- Article first published online: 29 SEP 2004
- Manuscript Received: 24 MAY 2004
- Abstract
- Article
- References
- Cited By
Keywords:
- antitumor agents;
- cell cycles;
- metabolism;
- modeling;
- signal transduction;
- systems biology
Abstract
Proliferative disorders are a major challenge for human health. The understanding of the organization of cell-cycle events is of the utmost importance to devise effective therapeutic strategies for cancer. The awareness that cells and organisms are complex, modular, hierarchical systems and the availability of genome-wide gene expression and protein analyses, should make it feasible to elucidate human diseases in terms of dysfunctions of molecular systems. Here we review evidence in support of a systems model of the cell cycle, in which two sequential growth-sensitive thresholds control entry into S-phase. The putative molecular determinants that set the threshold for entry into S-phase are consistently altered in cancer cells. Such a framework could be useful in guiding both experimental investigation and data analysis by allowing wiring to other relevant cell modules thereby highlighting the differential responses, or lack of response of cancer cells to intra- and extracellular factors. Pharmacological approaches that take advantage of transformation-induced fragility to glucose shortage are discussed. Extension of this hierarchical, modular approach to tumors as a whole holds promise for the development of effective drug discovery approaches and more efficient therapeutic protocols.

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