Association of Patient Characteristics and Tumor Genomics With Clinical Outcomes Among Patients With Non-Small Cell Lung Cancer Using a Clinicogenomic Database.

ABSTRACT:

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 with clinical outcomes were conducted, with data obtained between January 1, 2011, and January 1, 2018.

Exposures

Tumor CGP, including presence of a driver alteration (a pathogenic or likely pathogenic alteration in a gene shown to drive

SUBMITTER: Singal G 

PROVIDER: S-EPMC6459115 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature