Systems Biology in Cancer Research and Drug DiscoveryAsfar S Azmi Springer Science & Business Media, 29.09.2012 - 423 Seiten Systems Biology in Cancer Research and Drug Discovery provides a unique collection of chapters, by world-class researchers, describing the use of integrated systems biology and network modeling in the cancer field where traditional tools have failed to deliver expected promise. This book touches four applications/aspects of systems biology (i) in understanding aberrant signaling in cancer (ii) in identifying biomarkers and prognostic markers especially focused on angiogenesis pathways (iii) in unwinding microRNAs complexity and (iv) in anticancer drug discovery and in clinical trial design. This book reviews the state-of-the-art knowledge and touches upon cutting edge newer and improved applications especially in the area of network modeling. It is aimed at an audience ranging from students, academics, basic researcher and clinicians in cancer research. This book is expected to benefit the field of translational cancer medicine by bridging the gap between basic researchers, computational biologists and clinicians who have one ultimate goal and that is to defeat cancer. |
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... therapy. It has been my pleasure to gather these ideas from leaders in their fields and I thank each expert author for their outstanding contribution and their continued commitment to the field of oncology. Asfar S. Azmi Wayne State ...
... Therapy.............................................. 309 Mariaelena Pierobon, Julie Wulfkuhle, Lance A. Liotta, and Emanuel F. Petricoin III 14 The Principle of Rational Design of Drug Combination and Personalized Therapy Based on ...
... therapeutic intervention (Kroemer and Pouyssegur 2008). For instance, Genistein, a natural isoflavonoid with several anti-tumour properties, induces both apoptosis and inhibition of tumour proliferation (Alhasan et al. 1999) ...
... response to therapy (Smith 2001), while a high level of oxidative pathway GLUCOSE R5P Glucose-6-P non-oxidative pathway Fatty Acids Fructose-6-P 6 M. Bizzarriet al. 2 Metabolomic Fingerprint of Cancer 2.1 High Glycolytic Fluxes.
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Inhalt
Systems Approaches to Understand Cancer Progression | 165 |
Systems and Network Biology in Decoding miRNA Complexity | 246 |
Network Modeling in Cancer Drug Discovery and Clinical Trials | 307 |
Erratum | 418 |
Index | 419 |