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DrugTargetInspector: An assistance tool for patient treatment stratification.
Schneider, Lara; Stöckel, Daniel; Kehl, Tim; Gerasch, Andreas; Ludwig, Nicole; Leidinger, Petra; Huwer, Hanno; Tenzer, Stefan; Kohlbacher, Oliver; Hildebrandt, Andreas; Kaufmann, Michael; Gessler, Manfred; Keller, Andreas; Meese, Eckart; Graf, Norbert; Lenhof, Hans-Peter.
Affiliation
  • Schneider L; Center for Bioinformatics, Saarland University, Saarbrücken, Germany.
  • Stöckel D; Saarbrücken Graduate School of Computer Science, Saarland University, Saarbrücken, Germany.
  • Kehl T; Center for Bioinformatics, Saarland University, Saarbrücken, Germany.
  • Gerasch A; Saarbrücken Graduate School of Computer Science, Saarland University, Saarbrücken, Germany.
  • Ludwig N; Center for Bioinformatics, Saarland University, Saarbrücken, Germany.
  • Leidinger P; Saarbrücken Graduate School of Computer Science, Saarland University, Saarbrücken, Germany.
  • Huwer H; Center for Bioinformatics, Eberhard-Karls-University, Tübingen, Germany.
  • Tenzer S; Department of Human Genetics, Medical School, Saarland University, Homburg, Germany.
  • Kohlbacher O; Department of Human Genetics, Medical School, Saarland University, Homburg, Germany.
  • Hildebrandt A; Department of Cardiothoracic Surgery, Völklingen Heart Center, Völklingen, Germany.
  • Kaufmann M; Institute for Immunology, Johannes Gutenberg University Mainz, Mainz, Germany.
  • Gessler M; Center for Bioinformatics, Eberhard-Karls-University, Tübingen, Germany.
  • Keller A; Biomolecular Interactions, Max Planck Institute for Developmental Biology, Tübingen, Germany.
  • Meese E; Institute of Computer Science, Johannes Gutenberg University Mainz, Mainz, Germany.
  • Graf N; Center for Bioinformatics, Eberhard-Karls-University, Tübingen, Germany.
  • Lenhof HP; Theodor-Boveri-Institute/Biocenter, Developmental Biochemistry, and Comprehensive Cancer Center Mainfranken, Würzburg University, Würzburg, Germany.
Int J Cancer ; 138(7): 1765-76, 2016 Apr 01.
Article in En | MEDLINE | ID: mdl-26501925
ABSTRACT
Cancer is a large class of diseases that are characterized by a common set of features, known as the Hallmarks of cancer. One of these hallmarks is the acquisition of genome instability and mutations. This, combined with high proliferation rates and failure of repair mechanisms, leads to clonal evolution as well as a high genotypic and phenotypic diversity within the tumor. As a consequence, treatment and therapy of malignant tumors is still a grand challenge. Moreover, under selective pressure, e.g., caused by chemotherapy, resistant subpopulations can emerge that then may lead to relapse. In order to minimize the risk of developing multidrug-resistant tumor cell populations, optimal (combination) therapies have to be determined on the basis of an in-depth characterization of the tumor's genetic and phenotypic makeup, a process that is an important aspect of stratified medicine and precision medicine. We present DrugTargetInspector (DTI), an interactive assistance tool for treatment stratification. DTI analyzes genomic, transcriptomic, and proteomic datasets and provides information on deregulated drug targets, enriched biological pathways, and deregulated subnetworks, as well as mutations and their potential effects on putative drug targets and genes of interest. To demonstrate DTI's broad scope of applicability, we present case studies on several cancer types and different types of input -omics data. DTI's integrative approach allows users to characterize the tumor under investigation based on various -omics datasets and to elucidate putative treatment options based on clinical decision guidelines, but also proposing additional points of intervention that might be neglected otherwise. DTI can be freely accessed at http//dti.bioinf.uni-sb.de.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Decision Making, Computer-Assisted / Patient Selection / Neoplasms Type of study: Guideline / Prognostic_studies Limits: Humans Language: En Journal: Int J Cancer Year: 2016 Type: Article Affiliation country: Germany

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Decision Making, Computer-Assisted / Patient Selection / Neoplasms Type of study: Guideline / Prognostic_studies Limits: Humans Language: En Journal: Int J Cancer Year: 2016 Type: Article Affiliation country: Germany