Literature DB >> 20028868

Systems biologists seek fuller integration of systems biology approaches in new cancer research programs.

Olaf Wolkenhauer1, Charles Auffray, Simone Baltrusch, Nils Blüthgen, Helen Byrne, Marta Cascante, Andrea Ciliberto, Trevor Dale, Dirk Drasdo, David Fell, James E Ferrell, Daniel Gallahan, Robert Gatenby, Ulrich Günther, Brian D Harms, Hanspeter Herzel, Christian Junghanss, Manfred Kunz, Ingeborg van Leeuwen, Philippe Lenormand, Francis Levi, Michael Linnebacher, John Lowengrub, Philip K Maini, Arif Malik, Katja Rateitschak, Owen Sansom, Reinhold Schäfer, Karsten Schürrle, Christine Sers, Santiago Schnell, Darryl Shibata, John Tyson, Julio Vera, Michael White, Boris Zhivotovsky, Robert Jaster.   

Abstract

Systems biology takes an interdisciplinary approach to the systematic study of complex interactions in biological systems. This approach seeks to decipher the emergent behaviors of complex systems rather than focusing only on their constituent properties. As an increasing number of examples illustrate the value of systems biology approaches to understand the initiation, progression, and treatment of cancer, systems biologists from across Europe and the United States hope for changes in the way their field is currently perceived among cancer researchers. In a recent EU-US workshop, supported by the European Commission, the German Federal Ministry for Education and Research, and the National Cancer Institute of the NIH, the participants discussed the strengths, weaknesses, hurdles, and opportunities in cancer systems biology.

Entities:  

Mesh:

Year:  2009        PMID: 20028868      PMCID: PMC2802734          DOI: 10.1158/0008-5472.CAN-09-2676

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  9 in total

1.  Mathematical model of heterogeneous cancer growth with an autocrine signalling pathway.

Authors:  G-M Hu; C-Y Lee; Y-Y Chen; N-N Pang; W J Tzeng
Journal:  Cell Prolif       Date:  2012-07-11       Impact factor: 6.831

Review 2.  Hybrid models of tumor growth.

Authors:  Katarzyna A Rejniak; Alexander R A Anderson
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2011 Jan-Feb

Review 3.  Multiscale cancer modeling.

Authors:  Thomas S Deisboeck; Zhihui Wang; Paul Macklin; Vittorio Cristini
Journal:  Annu Rev Biomed Eng       Date:  2011-08-15       Impact factor: 9.590

4.  Studies on mechanisms of interferon-gamma action in pancreatic cancer using a data-driven and model-based approach.

Authors:  Falko Lange; Katja Rateitschak; Brit Fitzner; Ralf Pöhland; Olaf Wolkenhauer; Robert Jaster
Journal:  Mol Cancer       Date:  2011-02-10       Impact factor: 27.401

5.  Modeling core metabolism in cancer cells: surveying the topology underlying the Warburg effect.

Authors:  Osbaldo Resendis-Antonio; Alberto Checa; Sergio Encarnación
Journal:  PLoS One       Date:  2010-08-25       Impact factor: 3.240

6.  VDA, a method of choosing a better algorithm with fewer validations.

Authors:  Francesco Strino; Fabio Parisi; Yuval Kluger
Journal:  PLoS One       Date:  2011-10-12       Impact factor: 3.240

7.  Systems biology modeling reveals a possible mechanism of the tumor cell death upon oncogene inactivation in EGFR addicted cancers.

Authors:  Jian-Ping Zhou; Xin Chen; Shan Feng; Shi-Dong Luo; You-Li Pan; Lei Zhong; Pan Ji; Ze-Rong Wang; Shuang Ma; Lin-Li Li; Yu-Quan Wei; Sheng-Yong Yang
Journal:  PLoS One       Date:  2011-12-14       Impact factor: 3.240

Review 8.  Workforce preparation: the Biohealth computing model for Master and PhD students.

Authors:  Marta Cascante; Pedro de Atauri; David Gomez-Cabrero; Peter Wagner; Josep J Centelles; Silvia Marin; Isaac Cano; Filip Velickovski; Igor Marin de Mas; Dieter Maier; Josep Roca; Philippe Sabatier
Journal:  J Transl Med       Date:  2014-11-28       Impact factor: 5.531

9.  Model-based genotype-phenotype mapping used to investigate gene signatures of immune sensitivity and resistance in melanoma micrometastasis.

Authors:  Guido Santos; Svetoslav Nikolov; Xin Lai; Martin Eberhardt; Florian S Dreyer; Sushmita Paul; Gerold Schuler; Julio Vera
Journal:  Sci Rep       Date:  2016-04-26       Impact factor: 4.379

  9 in total

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