title: Conflicting Signals for Cancer Treatment.
abstract: Next-generation sequencing technologies have provided us with a precise description of the mutational burden of cancers, making it possible to identify targetable oncogene addictions. However, the emergence of resistant clones is an inevitable limitation of therapies targeting these addictions. Alternative approaches to cancer treatment are therefore required. We propose here a novel approach, based on the notion of conflicting signals and on a phenotypic description of cancer cells. "Phenotype" is an inherently complex notion that we describe in the conceptual framework of the epigenetic landscape, with a view to bridging the gap between theory and practice at the patient's bedside. By passing from theory to the description of several examples, we will illustrate how this approach can facilitate data analysis and the design of new strategies for cancer treatment. Cancer Res; 76(23); 6768-73. ©2016 AACR.
authors.affiliation: INSERM, U1052, Cancer Research Center of Lyon, Lyon, France. pierre.sujobert@chu-lyon.fr.|CNRS UMR 5286, Lyon, France.|Université Claude Bernard Lyon-1, Lyon, France.|Hospices Civils de Lyon, Centre Hospitalier Lyon Sud, Laboratoire d'Hématologie, Pierre-Bénite, France.
authors.forename: Pierre
authors.initials: P
authors.lastname: Sujobert
authors.affiliation: Inserm, U1016, Institut Cochin, Paris, France.|CNRS, UMR8104, Paris, France.|Université Paris Descartes, Sorbonne Paris Cité, Paris, France.|Equipe labellisée "Ligue contre le Cancer," Paris, France.
authors.forename: Alain
authors.initials: A
authors.lastname: Trautmann
mesh_terms: D059014:High-Throughput Nucleotide Sequencing / Q000379:methods*; D006801:Humans; D009369:Neoplasms / Q000235:genetics / Q000628:therapy*; D015398:Signal Transduction