Detecting breast cancer with a simple blood test using an accessible and low-cost novel real-time platform
Detecting breast cancer with a simple blood test using an accessible and low-cost novel real-time platform
批准号:
9346546
负责人:
Eagappanath Thiruppathi
金额:
$30.0万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-08-23 至 2018-04-30
关键词:
AntigensAutoantibodiesBenchmarkingBiological AssayBiological MarkersBiopsyBlood TestsBreast Cancer DetectionBreast Cancer Early DetectionBreast biopsyCancer DiagnosticsCancerousClassificationClinicalClinical TrialsCost SavingsDataData CollectionData SetDetectionDiagnosisDiagnosticDiagnostic testsEnvironmentEnzyme-Linked Immunosorbent AssayFluorescenceHealthcareImmune systemLaboratoriesLesionMalignant NeoplasmsMammographyMeasuresMicrofluidic MicrochipsModelingPainPatientsPerformancePhasePreparationProductionProductivityRadiation exposureReportingResearchRiskSamplingSavingsSecureSensitivity and SpecificitySmall Business Innovation Research GrantSpecificityStatistical ModelsSystemTechniquesTestingTimeTumor AntigensUnited StatesVariantWomanWorkbasebiochipbiomarker panelbreast cancer diagnosiscancer biomarkersclinical diagnosticscostdesigndiagnostic assaydiagnostic biomarkereconomic costfollow-upimprovedinflammatory markerinnovationmalignant breast neoplasmmanufacturing processminimally invasivemortalitynext generationnovelnovel diagnosticsphase 2 studyprotein aggregationprototyperesearch and developmentscreeningsocialspecific biomarkerstooltumor
中文摘要
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英文摘要
Project Summary
Although widespread screening by mammography has successfully cut mortality from breast cancer (BCa),
the exquisite sensitivity of the technique results in a startling number of “false positives.” Of approximately 3.9
million women who receive a positive mammogram each year, fewer than 250,000 will be diagnosed with BCa.
Cumulatively, the economic cost of follow-up diagnostics to resolve false-positive mammograms is
approximately $4 billion annually, while the social consequences include lost productivity and more than 3
million women exposed to the risks associated with subsequent diagnostics and treatment (e.g., radiation
exposure, pain and discomfort following a breast biopsy, etc.). Hence, a minimally invasive, rapid, and
inexpensive blood test that could be used as a “rule-out” screen for BCa following a positive mammogram
potentially offers significant healthcare saving and reduced patient burden.
Currently available commercial platforms for measuring biomarkers suffer from narrow detection range
and/or low throughput. In turn, these limitations constrain the design of diagnostic tests based on biomarkers,
which restricts their clinical utility. To surmount these challenges, Inanovate reimagined the approach to
biomarker detection. The result is a superior biochip platform, the Bio-ID, which can detect biomarkers (e.g.,
autoantibodies to tumor-associated antigens) across a 7-log range. For comparison;; the best competitor
platform available covers only a 4-log range. In addition, the Bio-ID system is a high-throughput format that can
be configured to detect any combination of biomarkers, making it a powerful tool for clinical and R&D tool for
designing next-generation biomarker-based diagnostic assays.
In this Fast-track SBIR, Inanovate seeks to advance the Bio-ID platform toward commercial launch and to
demonstrate its utility by developing a BCa diagnostic that can be used to exclude a breast cancer diagnosis
following a positive screening mammogram. The test is based on a novel panel of 31 BCa and immune system
biomarkers identified by Inanovate and its collaborators at Sanford Research. In Phase I, the biochip assay will
be optimized on the Bio-ID system (Aim 1), and the system will be benchmarked to previously characterized
patient samples and a single-sample predictive model for differentiating healthy and cancerous samples will be
constructed (Aim 2). In Phase II, Inanovate will prototype an upgraded Bio-ID system for deployment in clinical
diagnostic laboratories (Aim 1), the predictive model from Phase I will be challenged with a larger dataset (Aim
2), and Inanovate will prepare for regulatory approvals and secure commercial partners to advance the
platform and diagnostic test to market (Aim 3). The successful completion of this work will yield a cost-saving
BCa diagnostic (compared to biopsy) and advance a revolutionary new platform that will facilitate biomarker
research and enable the next generation of diagnostics to be developed.
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