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1.
PLoS One ; 7(10): e46738, 2012.
Article in English | MEDLINE | ID: mdl-23071625

ABSTRACT

The development of targeted molecular therapies has provided remarkable advances into the treatment of human cancers. However, in most tumors the selective pressure triggered by anticancer agents encourages cancer cells to acquire resistance mechanisms. The generation of new rationally designed targeting agents acting on the oncogenic path(s) at multiple levels is a promising approach for molecular therapies. 2-phenylimidazo[2,1-b]benzothiazole derivatives have been highlighted for their properties of targeting oncogenic Met receptor tyrosine kinase (RTK) signaling. In this study, we evaluated the mechanism of action of one of the most active imidazo[2,1-b]benzothiazol-2-ylphenyl moiety-based agents, Triflorcas, on a panel of cancer cells with distinct features. We show that Triflorcas impairs in vitro and in vivo tumorigenesis of cancer cells carrying Met mutations. Moreover, Triflorcas hampers survival and anchorage-independent growth of cancer cells characterized by "RTK swapping" by interfering with PDGFRß phosphorylation. A restrained effect of Triflorcas on metabolic genes correlates with the absence of major side effects in vivo. Mechanistically, in addition to targeting Met, Triflorcas alters phosphorylation levels of the PI3K-Akt pathway, mediating oncogenic dependency to Met, in addition to Retinoblastoma and nucleophosmin/B23, resulting in altered cell cycle progression and mitotic failure. Our findings show how the unusual binding plasticity of the Met active site towards structurally different inhibitors can be exploited to generate drugs able to target Met oncogenic dependency at distinct levels. Moreover, the disease-oriented NCI Anticancer Drug Screen revealed that Triflorcas elicits a unique profile of growth inhibitory-responses on cancer cell lines, indicating a novel mechanism of drug action. The anti-tumor activity elicited by 2-phenylimidazo[2,1-b]benzothiazole derivatives through combined inhibition of distinct effectors in cancer cells reveal them to be promising anticancer agents for further investigation.


Subject(s)
Antineoplastic Agents/pharmacology , Benzothiazoles/pharmacology , Molecular Targeted Therapy , Transcriptome/drug effects , Animals , Antineoplastic Agents/administration & dosage , Antineoplastic Agents/adverse effects , Benzothiazoles/administration & dosage , Benzothiazoles/adverse effects , Cell Cycle/drug effects , Cell Cycle Proteins/metabolism , Cell Line, Tumor , Cell Proliferation/drug effects , Cell Survival/drug effects , Cell Transformation, Neoplastic/drug effects , Humans , Metabolic Networks and Pathways/drug effects , Metabolic Networks and Pathways/genetics , Mice , Mice, Nude , Mutation, Missense , Phosphorylation , Protein Interaction Maps , Protein Processing, Post-Translational/drug effects , Protein Transport/drug effects , Proto-Oncogene Proteins c-met/genetics , Proto-Oncogene Proteins c-met/metabolism , Receptors, Platelet-Derived Growth Factor/metabolism , Signal Transduction/drug effects , Xenograft Model Antitumor Assays
2.
Genome Res ; 20(10): 1459-68, 2010 Oct.
Article in English | MEDLINE | ID: mdl-20647237

ABSTRACT

Developmental biology aims to understand how the dynamics of embryonic shapes and organ functions are encoded in linear DNA molecules. Thanks to recent progress in genomics and imaging technologies, systemic approaches are now used in parallel with small-scale studies to establish links between genomic information and phenotypes, often described at the subcellular level. Current model organism databases, however, do not integrate heterogeneous data sets at different scales into a global view of the developmental program. Here, we present a novel, generic digital system, NISEED, and its implementation, ANISEED, to ascidians, which are invertebrate chordates suitable for developmental systems biology approaches. ANISEED hosts an unprecedented combination of anatomical and molecular data on ascidian development. This includes the first detailed anatomical ontologies for these embryos, and quantitative geometrical descriptions of developing cells obtained from reconstructed three-dimensional (3D) embryos up to the gastrula stages. Fully annotated gene model sets are linked to 30,000 high-resolution spatial gene expression patterns in wild-type and experimentally manipulated conditions and to 528 experimentally validated cis-regulatory regions imported from specialized databases or extracted from 160 literature articles. This highly structured data set can be explored via a Developmental Browser, a Genome Browser, and a 3D Virtual Embryo module. We show how integration of heterogeneous data in ANISEED can provide a system-level understanding of the developmental program through the automatic inference of gene regulatory interactions, the identification of inducing signals, and the discovery and explanation of novel asymmetric divisions.


Subject(s)
Databases, Factual , Developmental Biology/methods , Gene Expression Regulation, Developmental , Image Processing, Computer-Assisted/methods , Internet , Urochordata , Animals , Chordata/embryology , Chordata/genetics , Chordata/growth & development , Computational Biology/methods , Urochordata/embryology , Urochordata/genetics , Urochordata/growth & development
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