Association of patient characteristics and tumor genomics with clinical outcomes among patients with non–small cell lung cancer using a clinicogenomic database
Importance Data sets linking comprehensive genomic profiling (CGP) to clinical outcomes
may accelerate precision medicine. Objective To assess whether a database that combines
EHR-derived clinical data with CGP can identify and extend associations in non–small cell
lung cancer (NSCLC). Design, Setting, and Participants Clinical data from EHRs were linked
with CGP results for 28 998 patients from 275 US oncology practices. Among 4064 patients
with NSCLC, exploratory associations between tumor genomics and patient characteristics …
may accelerate precision medicine. Objective To assess whether a database that combines
EHR-derived clinical data with CGP can identify and extend associations in non–small cell
lung cancer (NSCLC). Design, Setting, and Participants Clinical data from EHRs were linked
with CGP results for 28 998 patients from 275 US oncology practices. Among 4064 patients
with NSCLC, exploratory associations between tumor genomics and patient characteristics …
