SBIR Topic 354: A Novel Predictive Test for Response to Combination Immunotherapies for Patients with non-small cell lung cancer (NSCLC)
SBIR Topic 354: A Novel Predictive Test for Response to Combination Immunotherapies for Patients with non-small cell lung cancer (NSCLC)
批准号:
10022686
负责人:
Greg Bertenshaw
金额:
$149.8万
依托单位国家:
美国
项目类别:
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-09-16 至 2021-09-15
关键词:
AddressBiologicalBiological MarkersCancer DiagnosticsClinicalCombination immunotherapyDevelopmentDiagnostic testsHumanImmune TargetingImmune checkpoint inhibitorImmunotherapeutic agentImmunotherapyMethodsNon-Small-Cell Lung CarcinomaPD-1/PD-L1PatientsPharmaceutical PreparationsPhasePrediction of Response to TherapySamplingSensitivity and SpecificitySmall Business Innovation Research GrantSolid NeoplasmStandardizationSystemTechnologyTestingTimeWorkanalytical methodbasechemotherapyclinical predictorsdesignexperiencefollow-upnovelpatient populationpatient responsephase 2 studypredictive testresistance mechanismresponseresponse biomarkertumor
中文摘要
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英文摘要
In the proposed Phase II study, we will further develop our PathMAP® Immunotherapy test to address an unmet clinical need within the NSCLC patient population. We hope to create a test that is able to accurately predict clinical response to PD-1/PD-L1 targeted immune checkpoint inhibitors alone and in combination with chemotherapies. Our development work in Phase II will be based on our initial work performed in Phase I and our extensive experience designing and developing PathMAP tests. The PathMAP Immunotherapy test will predict therapeutic response by eliciting and categorizing NSCLC samples’ dynamic biomarker responses to biologically-relevant modulators and chemotherapy agents. In this way, we will be able to characterize each tumor’s intrinsic resistance mechanisms, and how these mechanisms impact key biomarker expression capabilities. This ex vivo approach will be made possible by the SnapPath® Cancer Diagnostics System, which automates and standardizes live solid tumor processing and functional interrogation, to enable highly predictive tests in patients with solid tumors. To our knowledge, the PathMAP Immunotherapy test will represent the first time ex vivo technology has been used in a diagnostic test to predict patient responses to any immunotherapeutic drug.
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Development of a companion diagnostic to predict response to cetuximab in patients with head and neck squamous cell carcinoma
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批准号:9465203
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项目类别:
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资助金额:$29.93万
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财政年份:2017
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负责人:Greg Bertenshaw
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依托单位:
PathMAP NSCLC: A functional companion diagnostic test to predict optimal therapy for patients with non-small cell lung cancer.
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批准号:9045159
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项目类别:
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资助金额:$29.99万
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财政年份:2015
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负责人:Greg Bertenshaw
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依托单位:
海外基金