Epidermal growth factor receptor (EGFR)-targeted therapy significantly improves outcomes among patients with non–small-cell lung cancer (NSCLC) whose tumors harbor sensitizing mutations. Patterns of EGFR testing have not been well-documented. The objective of this population-based study is to assess the testing pattern on a national scale.Patients and Methods
Using MarketScan 2012 to 2014 data, we identified 5842 patients newly diagnosed with metastatic lung cancer from January 2013 to June 2014 and assessed their EGFR mutation testing pattern in the 6 months after diagnosis. We further examined the testing rate among patients who received the EGFR inhibitor erlotinib. Because histology information is not available in this database, we also conducted a subgroup analysis of EGFR testing among patients who were treated with bevacizumab or pemetrexed, who are likely to have non-squamous NSCLC. Multivariable logistic regression was performed to ascertain factors associated with EGFR testing.Results
Of 5842 patients with metastatic lung cancer, 1039 (18%) had claims for EGFR testing within 6 months of diagnosis, and 283 (5%) received erlotinib. The testing rate among patients who received erlotinib was 42%. Within a subgroup of 1685 patients treated with bevacizumab or pemetrexed, 616 (37%) underwent EGFR testing. Multivariable logistic regression showed that younger patients, female patients, patients with fewer comorbidities, and patients living in the West region were more likely to receive EGFR testing.Conclusion
This population-based study demonstrates low EGFR testing rates among advanced lung cancer patients in 2013 and 2014.Micro-Abstract
Epidermal Growth Factor Receptor (EGFR)-targeted therapy significantly improves outcomes among non-small cell lung cancer patients with sensitizing mutations. However, the patterns of EGFR testing have not been well-documented. In this population-based study, we identified 5842 patients newly diagnosed with metastatic lung cancer 01/2013-06/2014 and observed an upward trend in testing. However, the testing rate is still lower than ideal.