CPSA 4 Corners Initiative 2018

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Presentation transcript:

CPSA 4 Corners Initiative 2018

Through collaborative scientific discourse, develop integrated processes to guide development of cutting-edge technology and drive its translation directly into the clinic or home to improve personal health and wellbeing

Stakeholders in Healthcare Pharma/Researchers Laboratories Physicians Patients Insurers Government

Personalized Medicine Evolving Themes/CPSA Personalized Medicine Biomarker profiling, advanced diagnostics Development of more effective therapies Preventative Healthcare Longitudinal studies Early detection and intervention Wellness programs Patient Empowerment Access to health information Informed choices

Data Aggregation Convergence Point Biomarker Data to Support Early Drug Development (NIH/Public Databases, Company Databases) Clinical Outcomes and Safety Data (Transcelerate/BioCelerate) Data to drive Physician Practice Guidelines (Meta-analyses and Evidence-Based Reviews) Patient Access to Health Data (Credible data sources) Data to Support Reimbursement Policies (Meta-analyses and Evidence-Based Reviews) Data Aggregation Stakeholder decisions are almost always based on use of aggregated data

Data Aggregation Population Model Population Models aggregate clinical chemistry test results from multiple labs from multiple countries Population Model CL1 CL2 CL3 CL4 CL5 CL6 CL7 CL8 CL9 CL10 CL12 Different labs use different analyzers May have different normal ranges Identical tests in different labs known to give different results Data formats will differ Data management groups charged with aggregating need result and normal range Statisticians need to work with the jumble to normalize and then extract statistical differences

What if they were to try it with PD-L1 data? Data Aggregation Transcelerate* is looking to create ‘data lakes’ with de-identified study data Test 2 CL1 CL2 CL3 CL4 CL5 CL6 CL7 CL8 CL9 CL10 CL12 Test 1 CL1 CL2 CL3 CL4 CL5 CL6 CL7 CL8 CL9 CL10 CL12 What if they were to try it with PD-L1 data? At least 4 tests with different antibody detection reagents Comparative assessments show they are not equal Test 4 CL1 CL2 CL3 CL4 CL5 CL6 CL7 CL8 CL9 CL10 CL12 Data Lake Test 3 CL1 CL2 CL3 CL4 CL5 CL6 CL7 CL8 CL9 CL10 CL12 *Pharma consortia for improved drug development

How can standardization can be accomplished within Pharma? STEP 1: Identify key stakeholders

How can standardization can be accomplished within Pharma? STEP 2: Organize an independent standardization oversight committee Define the measurand Define mandatory characteristics of the primary reference material and it’s value assignment Define analytical performance requirements of the reference method Agree on the reference method procedure Identify a network of independent laboratories performing the reference method Develop a common secondary reference material or human sample panel (value assignments traceable to common to the primary reference material) and reference method Implement routine survellaince of calibration traceability