Characterizing biomarker testing over time in lung cancer patients using oncology electronic medical records (EMR).

Abstract

e20056 Background: This study characterizes biomarker testing over time in Non-Small Cell Lung Cancer (NSCLC) patients treated within a clinical setting. There have been tremendous advances in treatments for NSCLC that target specific biomarkers such as epithelial growth factor receptor (EGFR), anaplastic lymphoma kinase (ALK), and the Programmed cell death-ligand 1 (PD-L1) pathway. As we consider using oncology EMR records for future studies, it is critical to understand the extent to which biomarker testing is conducted in routine care, the extent to which testing has increased, and the types of patients for which it is done. Methods: This is a retrospective observational analysis derived from the COTA Oncology EHR database from January 1, 2015 through December 31, 2017. The data sets generated for the study included all relevant, retrospective patient-level, de-identified data available for patients with lung cancer, including EGFR, ALK, and PD-L1 testing regardless of age, gender, and stage at diagnosis. We examined characteristics associated with each type of test received as well as by those who had received all 3 biomarker tests, 1-2 of the tests, or no biomarker testing. Analyses were conducted using SAS V. 9.1 and stratified by data source. Results: There were 1,891 patients in the COTA database. Among newly diagnosed NSCLC patients, EGFR testing has been consistently conducted in patients during the study period (76 – 86%), while ALK testing [44% in 2015Q1 to 74% in 2017Q4] and PD-L1 testing [12% in 2015Q1 to 77% in 2017Q4] have steadily increased each quarter. Overall, testing was more likely to be conducted in non-squamous cell lung cancer patients, Stage IV lung cancer, and those without a history of smoking. For EGFR, testing was more prevalent among women and young age groups ( < 64 years vs. 65 and older). Conclusions: Biomarker testing has rapidly increased for ALK and PD-L1, which correlates with the uptake of new targeted therapies. Further research could be conducted to understand clinical outcomes associated with this increase in testing as well as the impact on healthcare resource utilization.