Circumventing Acquired Resistance to Growth Factor Receptor Kinase Inhibitors
Circumventing Acquired Resistance to Growth Factor Receptor Kinase Inhibitors
批准号:
7912612
负责人:
Daniel A. Haber
金额:
$35.04万
依托单位国家:
美国
项目类别:
财政年份:
2009
资助国家:
美国
项目状态:
已结题
起止时间:
2009-08-01 至 2011-07-31
关键词:
AddressAffectAntineoplastic AgentsBiological AssayCancer cell lineCell LineCellsChemotherapy-Oncologic ProcedureClinicalClinical TrialsClinical effectivenessComplementComplexDependenceDevelopmentDrug Delivery SystemsDrug resistanceERBB2 geneEffectivenessEpidermal Growth Factor ReceptorEpidermal Growth Factor Receptor Tyrosine Kinase InhibitorEpithelialErlotinibFaceFamily memberGatekeepingGefitinibGenerationsGeneticGenetic MarkersGleevecGrowth Factor ReceptorsHumanImatinibIn VitroLibrariesMalignant NeoplasmsMalignant neoplasm of lungMeasuresMediatingModelingMolecularMutationNon-Small-Cell Lung CarcinomaOncogenesPathway interactionsPeptidesPharmaceutical PreparationsPhasePhosphotransferasesPhosphotyrosineProtein Tyrosine KinaseProteomicsRNA InterferenceReceptor SignalingResistanceRoleSignal PathwaySignal TransductionTestingTyrosine Kinase InhibitorVariantabstractingaddictionbasec-erbB-1 Proto-Oncogenescancer therapydesigninhibitor/antagonistinsightkinase inhibitormutantnovelnovel strategiesprototypepublic health relevancereceptorreconstitutionresearch studyresistance mechanismresponsesmall hairpin RNAsuccesstumor
中文摘要
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英文摘要
ABSTRACT
The success of molecularly targeted cancer therapy using tyrosine kinase inhibitors
(TKIs) faces a number of difficult challenges. Foremost among these is the ability to
identify subsets of different cancers that are uniquely sensitive to targeted agents, often
identified by the presence of genetic markers implying ¿dependence¿ or `addiction¿ to the
targeted pathway. Equally important to the longterm success of these therapies is
understanding and circumventing acquired drug resistance, which is a key limitation to
their clinical effectiveness. Acquired resistance to drugs targeting growth factor receptors
differs from resistance to genotoxic cancer chemotherapy, and may include both specific
mutations in targeted receptors, as well as more complex functional alterations in
signaling networks. Here we will use non-small cell lung cancer (NSCLC) cell line
models that appear to faithfully recapitulate key signaling dependence of cancers with
activating mutations in the Epidermal Growth Factor Receptor (EGFR) gene, identifying
a subset of lung cancers with extreme sensitivity to EGFR TKIs. We outline three aims
that address the acquisition of resistance in tumors that were previously sensitive to
these agents: in Aim 1, we will generate cell line models for acquired resistance to
¿second generation¿ irreversible inhibitors of EGFR, and use genetic, signaling and
functional analyses to dissect the underlying mechanisms. In Aim 2, we will use a high
throughput shRNA screen of tyrosine kinases to identify candidate targets whose
suppression may circumvent resistance to EGFR inhibitors. In Aim 3, we will use
lentiviral knockdown/reconstitution experiments to quantitate oncogene dependence of
drug resistant cells, both on the initiating EGFR mutation and on associated signaling
pathways that contribute to acquired drug resistance. Together, these aims will provide
important insight into critical mechanisms that underlie the acquisition of resistance to
novel inhibitors targeting growth factor receptors in human cancer. Public Health relevance
Understanding the mechanisms by which cancers that are sensitive to the new classes
of targeted cancer therapies become resistant to these is critical to their eventual clinical
success. Our approach is designed to dissect the molecular basis of resistance to these
cancer drugs.
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Data Production, and Informatics and Integration
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Modeling and Circumventing EMT to Suppress Metastasis
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资助金额:$35.8万
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依托单位:
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依托单位:
海外基金