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Systems biology for cancer

Current Opinion in Oncology, 2005
Significant insight can be gained into complex biologic mechanisms of cancer via a combined computational and experimental systems biology approach. This review highlights some of the major systems biology efforts that were applied to cancer in the past year.Two main approaches to computational systems biology are discussed: mechanistic dynamical ...
I G, Khalil, C, Hill
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Cancer: A Systems Biology disease

Biosystems, 2006
Cancer research has focused on the identification of molecular differences between cancerous and healthy cells. The emerging picture is overwhelmingly complex. Molecules out of many parallel signal transduction pathways are involved. Their activities appear to be controlled by multiple factors.
Hornberg, J.J.   +3 more
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Systems Biology of Cancer

2015
With over 200 types of cancer diagnosed to date, researchers the world over have been forced to rapidly update their understanding of the biology of cancer. In fact, only the study of the basic cellular processes, and how these are altered in cancer cells, can ultimately provide a background for rational therapies.
Paola Allavena   +2 more
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Systems Biology and the Molecular Circuits of Cancer

ChemBioChem, 2004
AbstractProliferative 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 ...
ALBERGHINA, LILIA   +2 more
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Cancer Systems Biology

2011
Cancer is a complex disease, resulting from system-wide interactions of biological processes rather than from any single underlying cause. The processes that drive all cancer development and progression have been termed the ‘hallmarks of cancer’. With the growth of large-scale measurements of numerous molecular and cellular properties, a new approach ...
Elana J. Fertig   +2 more
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Systems biology markup language for cancer system

2009 World Congress on Nature & Biologically Inspired Computing (NaBIC), 2009
In literature it has been mentioned that several factors are responsible for the successful accomplishment of cancer therapy. Moreover, during the course of treatment patients has undergone different physiological states. In recent time several analytical models are developed to address these issue and further progresses are in the process.
Avishek Das   +2 more
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Bioinformatics and Systems Biology of Cancers

2010
Molecular databases and bioinformatics methods and tools are essential for modern cancer research. Multilevel analyses of all the protein-coding genes, thousands of proteins, and hundreds of metabolites require integration in terms of signaling and metabolic pathways and networks.
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[Systems biology of cancer].

Medecine sciences : M/S, 2010
Cancer Systems Biology is now accepted and recognized as a promising field both in biological and clinical research. It relies on a rigorous formalization of regulation networks into precise and unambiguous languages. It provides both detailed and modular views of the complex biological system of interest (which in cancer research is typically an ...
Emmanuel, Barillot   +2 more
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The chemokine system in cancer biology and therapy

Cytokine & Growth Factor Reviews, 2010
Chemokines are a key component of cancer-related inflammation. Chemokines and chemokine receptors are downstream of genetic events that cause neoplastic transformation and are components of chronic inflammatory conditions, which predispose to cancer. Components of the chemokine system affect in a cell autonomous or non-autonomous way multiple pathways ...
A. Mantovani   +5 more
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Introduction: Cancer Systems and Integrative Biology

2023
The insights provided by the holistic approaches of systems and integrative biology offer a means to address the multiple levels of complexity evident in cancer biology. Often focused on the use of large-scale, high-dimensional omics data for discovery in silico, integration with lower-dimensional data and lower-throughput wet laboratory studies allows
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