Next Generation Specificity Screening for Biotherapeutics using an Extracellular Proteome Array
Next Generation Specificity Screening for Biotherapeutics using an Extracellular Proteome Array
批准号:
10206171
负责人:
Benjamin Jacob Doranz
金额:
$50.24万
依托单位:
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:
2015-02-01 至 2022-12-31
关键词:
AbbreviationsAdoptedAdverse eventAntibodiesBindingBiological ProductsBiological Response Modifier TherapyCAR T cell therapyCategoriesCellsClinicalClinical TrialsClinical Trials DesignData AnalysesEnsureEpitopesFDA approvedFailureFundingGene ChipsHumanHuman ResourcesIn VitroIndustryInvestigational DrugsLinkMeasuresMembraneMembrane ProteinsMethodologyMethodsMolecularMolecular ConformationMonoclonal AntibodiesPatientsPharmaceutical PreparationsPhasePhase II Clinical TrialsPlasmidsProcessProductionProtein ArrayProteinsProteomePublic HealthReportingReproducibilityResearchRiskSafetySerious Adverse EventServicesSmall Business Innovation Research GrantSpecificityTechnologyTestingTherapeuticTherapeutic Monoclonal AntibodiesTimeTimeLineTissuesToxicologyValidationchimeric antigen receptor T cellsclinical developmentcross reactivitydata integrityextracellularhuman diseaseimprovedinnovationinterestlead candidatenew technologynext generationnovel strategiespre-clinicalpreclinical developmentpreclinical trialpredictive testprogramsprotein expressionquality assurancescreeningside effecttherapeutic candidatetherapeutic developmenttool
中文摘要
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英文摘要
ABSTRACT
Detailed specificity analysis is critical for drugs, as even minimal off-target binding can cause serious adverse
events. As a result, specificity profiling has become an FDA requirement for monoclonal antibodies (MAbs) as
well as other emerging biotherapeutic categories such as CAR-T cell therapy. Current methods for profiling the
specificity of biotherapeutics, primarily tissue cross-reactivity studies and spotted protein arrays, are poorly
predictive of cross-reactivity against the native human proteome, have low sensitivity, and are difficult to
interpret. A novel approach for specificity profiling is needed to better predict off-target binding of MAbs and de-
risk biotherapeutic discovery programs. Here we propose to develop a technology that has the predictive
validity to de-risk biotherapeutics entering preclinical development. This product would have a large impact on
the clinical pipelines of nearly every biopharmaceutical company, has significant commercial potential, and can
be implemented with very low risk. The resulting product will be the first major innovation in in vitro toxicology
testing for biotherapeutics since tissue cross-reactivity studies were adopted 35+ years ago.
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