Highlight talk – Theme: Systems
Abstract
To overcome cell signaling network robustness, cancer treatment should be extended to a combination therapy approach. Atlas of Cancer Signaling Network (ACSN), a resource of comprehensive maps with integrated NaviCell tool for multi-omics data visualization and analysis, allow rationalizing drug choice. To demonstrate applications, we performed a structural analysis of Cell Cycle and DNA repair signaling network together with omics data from ovary cancer patients resistant to genotoxic treatment. We retrieved synthetic lethal gene sets for intervention, to restore sensitivity to the treatment. In another study, we compared sensitivity of cancer cell lines to two classes of DNA repair inhibitors. Analysis of cell lines multi-level omics data, interpreted in the context of signaling network maps, highlighted different DNA repair molecular profiles associated with sensitivity to each one of the drugs, rationalizing combined treatment in some cases. Analysis of multi-omics data together with cell signaling information helps finding personalized treatment.
Authors
Inna Kuperstein, Institut Curie – U900 INSERM – Mines ParisTech, France
Eric Bonnet, Institut Curie – U900 INSERM – Mines ParisTech, France
Maria Kondratova, Institut Curie – U900 INSERM – Mines ParisTech, France
Mathurin Dorel, Institut Curie – U900 INSERM – Mines ParisTech, France
Wael Jdey, Institut Curie –CNRS UMR3347 – INSERM U1021, France
David Cohen, Institut Curie – U900 INSERM – Mines ParisTec, France
Eric Viara, SYSRA, France
Luca Grieco, University College London, United Kingdom
Hien-Anh Nguyen, Institut Curie – U900 INSERM – Mines ParisTech, France
Laurence Calzone, Institut Curie – U900 INSERM – Mines ParisTech, France
Christophe Russo, Institut Curie – U900 INSERM – Mines ParisTech, France
Marie Dutreix, Institut Curie –CNRS UMR3347 – INSERM U1021, France
Emmanuel Barillot, Institut Curie – U900 INSERM – Mines ParisTech, France
Andrei Zinovyev, Institut Curie – U900 INSERM – Mines ParisTech, France
Source of publication
Oncogenesis. doi: 10.1016/j.bbrc.2015.06.094 (2015) PMID: 26192618, Nucleic Acids Res. doi:10.1093/nar/gkv450 (2015) PMID: 25958393, Biochem Biophys Res Commun. doi: 10.1016/j.bbrc.2015.06.094 (2015)