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Credentialing Mouse Models for Immune System Therapy Research

Credentialing Mouse Models for Immune System Therapy Research
免疫系统治疗研究小鼠模型的认证
批准号:
9088389
负责人:
CHARLES M. PEROU
金额:
$58.13万
依托单位国家:
美国
项目类别:
财政年份:
2015
资助国家:
美国
项目状态:
已结题
起止时间:
2015-06-12 至 2018-05-31
关键词:
AftercareAnimal ModelAnimalsAntibodiesAreaB-LymphocytesBasic ScienceBioinformaticsBiological AssayBiological ModelsBiologyBreastBreast Cancer ModelBreast Cancer geneBreast CarcinomaCD4 Positive T LymphocytesCD8B1 geneCTLA4 geneCancer BiologyCarboplatinCell LineCellsCellular StructuresCharacteristicsClinicalClinical TrialsComparative Genomic AnalysisComplexCoupledCredentialingCyclophosphamideDataDatabasesDisease ProgressionDoseEndothelial CellsEnvironmentEpidermal Growth Factor Receptor Tyrosine Kinase InhibitorEpithelialEpithelial CellsFibroblastsGene ExpressionGene Expression ProfilingGene ProteinsGenesGenetically Engineered MouseGenomicsGoalsHealthHumanHuman Cell LineImmuneImmune systemImmunologic MarkersImmunotherapyIndividualLibrariesLinkLungLung AdenocarcinomaMalignant NeoplasmsMalignant neoplasm of lungMammary NeoplasmsMammary glandMessenger RNAMethodologyMethodsModelingMolecular ProfilingMonitorMusPDCD1LG1 genePaclitaxelPatientsPharmaceutical PreparationsPre-Clinical ModelPredictive ValueRegimenResearch PersonnelScheduleSolid NeoplasmSorting - Cell MovementT-LymphocyteTestingThe Cancer Genome AtlasTherapeuticTherapeutic Clinical TrialTherapeutic StudiesTranslational ResearchTumor SubtypeTumor-DerivedValidationVariantXenograft ModelXenograft procedurebasebody systemcancer subtypescheckpoint therapycomparativedisorder subtypegenome-widegenomic profilesgenomic signaturehuman datahuman diseasein vivoinhibitor/antagonistkinase inhibitormacrophagemalignant breast neoplasmmembermouse modelnovel markeroncologypotential biomarkerpre-clinicalpredictive signatureresponsetherapy resistanttreatment responsetumortumor xenograftvalidation studies

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中文摘要
翻译
 描述(由申请方提供):如果所用模型准确模拟了所讨论的人类疾病,则使用动物模型进行临床前治疗试验是一种有效的方法。许多研究人员使用来自遗传工程小鼠(GEM)的肿瘤的组织学评估作为将特定小鼠模型与已知人类疾病亚型联系起来的手段。我们已经开发了一种基于全基因组基因表达谱的互补方法,其中我们客观地比较了来自给定器官系统(即乳腺)的小鼠肿瘤的基因组谱与人类肿瘤谱,并且已经能够鉴定出最能模拟人类疾病亚型的特定GEM模型。我们建议继续并扩展这些基因组验证研究,以包括乳腺癌的其他模型,并将我们的研究扩展到肺癌模型,目标是使用最合适的模型进行免疫检查点抑制剂的临床前治疗试验,因为该领域具有巨大的临床重要性。GEM模型比其他临床前模型如PDX或人细胞系模型具有优势,因为它们是免疫完整的宿主。我们建议研究这些GEM模型中的免疫微环境,以确定免疫逃避机制和对免疫检查点抑制剂的反应的预测特征,这些免疫检查点抑制剂最终可应用于人体临床试验。
英文摘要
 DESCRIPTION (provided by applicant): The use of animal models for preclinical therapeutic testing is a powerful approach, if the model(s) used are accurate mimics of the human disease in question. Many researchers have used histological assessments of tumors coming from Genetically Engineered Mice (GEM) as a means of linking specific mouse models to known human disease subtypes. We have developed a complementary approach based upon genome-wide gene expression profiling where we objectively compare the genomic profiles of mouse tumors coming from a given organ system (i.e. breast) versus human tumor profiles, and have been able identify specific GEM models which best mimic human disease subtypes. We propose to continue and extend these genomic validation studies to include additional models of breast carcinoma and to extend our studies to models of lung cancer with the goal of using the most appropriate models for pre- clinical therapeutic trials of immune checkpoint inhibitors given the tremendous clinical importance in this area. GEM models present an advantage over other pre-clinical models like PDX or human cell line models in that they are host is immunologically intact. We propose to study the immune microenvironment in these GEM models to identify mechanisms of immune evasion and predictive signatures for response to immune checkpoint inhibitors that can ultimately be applied to human clinical trials.
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