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In silico signaling modeling to understand cancer pathways and treatment responses.
Kunz, Meik; Jeromin, Julian; Fuchs, Maximilian; Christoph, Jan; Veronesi, Giulia; Flentje, Michael; Nietzer, Sarah; Dandekar, Gudrun; Dandekar, Thomas.
Afiliação
  • Kunz M; Chair of Medical Informatics, Friedrich-Alexander University of Erlangen-Nürnberg, Erlangen, Germany.
  • Jeromin J; Functional Genomics and Systems Biology Group, Department of Bioinformatics, University of Würzburg, Würzburg, Germany.
  • Fuchs M; Functional Genomics and Systems Biology Group, Department of Bioinformatics, University of Würzburg, Würzburg, Germany.
  • Christoph J; Chair of Medical Informatics, Friedrich-Alexander University of Erlangen-Nürnberg, Erlangen, Germany.
  • Veronesi G; Humanitas Research Hospital, Rozzano (Milan), Italy.
  • Flentje M; Department of Radiation Oncology, University Hospital of Würzburg, Würzburg, Germany.
  • Nietzer S; Chair of Tissue Engineering and Regenerative Medicine, University Hospital Wuerzburg, Roentgenring, Wuerzburg.
  • Dandekar G; Chair of Tissue Engineering and Regenerative Medicine, University Hospital Wuerzburg, Roentgenring, Wuerzburg.
  • Dandekar T; Fraunhofer Institute for Silicate Research (ISC), Translational Center 'Regenerative Therapies' (TLC-RT), Roentgenring, Wuerzburg.
Brief Bioinform ; 21(3): 1115-1117, 2020 05 21.
Article em En | MEDLINE | ID: mdl-31117120
ABSTRACT
Precision medicine has changed thinking in cancer therapy, highlighting a better understanding of the individual clinical interventions. But what role do the drivers and pathways identified from pan-cancer genome analysis play in the tumor? In this letter, we will highlight the importance of in silico modeling in precision medicine. In the current era of big data, tumor engines and pathways derived from pan-cancer analysis should be integrated into in silico models to understand the mutational tumor status and individual molecular pathway mechanism at a deeper level. This allows to pre-evaluate the potential therapy response and develop optimal patient-tailored treatment strategies which pave the way to support precision medicine in the clinic of the future.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transdução de Sinais / Modelos Biológicos / Neoplasias Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transdução de Sinais / Modelos Biológicos / Neoplasias Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article