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Proactive identification of candidates for newly approved targeted therapies using a clinical decision support program

Abstract

Background

Comprehensive molecular profiling (CMP) enables identification of multiple biomarkers from a single sample to inform targeted therapy selection. However, the static nature of test reports limits their clinical relevance as new therapies emerge. Based on the presence of molecular alterations, the population of patients qualifying for FDA-approved therapies nearly doubled since 2017, while FDA-recognized biomarkers of drug response quadrupled. Lookback programs are clinical decision support services designed to notify clinicians when previously profiled patients become candidates for new targeted therapies based on original test results. This study describes biomarkers assessed in a lookback program and summarizes identification of patients who become candidates for novel treatment options following new FDA approvals.

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