Longitudinal Examination of Metastatic Prostate Cancer Utilizing Linked Health Insurance Claims and Germline Genetic Testing Data
Speaker(s)
Martin R, Nielsen SM, Facio FM, Nottke AC, Esplin ED, Moretz C, Lacoste AMB
Invitae, San Francisco, CA, USA
Presentation Documents
OBJECTIVES: Pathogenic germline variants (PGV) in BRCA1 or BRCA2 are identified in approximately <1% and 5% of patients with metastatic prostate cancer (mPC), respectively. 10-20% of mPC patients will progress to castration-resistant disease (mCRPC). We utilized a linked dataset to characterize mPC and determine if there were significant differences based on BRCA PGV status or race/ethnicity.
METHODS: A linked dataset of germline genetic testing data (InvitaeⓇ) and insurance claims data (Komodo) was assembled for 20,036 patients with ICD9 or ICD10 codes indicating mPC. Race/ethnicity was clinician-reported. Comparative analyses were restricted to White and Black patients. Chi-square, Fisher’s exact and Mann-Whitney U tests were used to determine significance (p<0.05).
RESULTS: The cohort was comprised of White (69.7%), Black (10.4%) and Other (19.9%) patients. Mean age at initial PC diagnosis was 68.0 years; BRCA2+ and Black patients were diagnosed significantly younger (66.5 and 65.5 years, respectively), and White patients significantly older (68.5 years). 11.0% of the cohort had codes indicating mCRPC and 5.9% castration-sensitive disease (mCSPC), with a significantly higher frequency of mCRPC reported for Black vs. White patients (13.0% vs. 11.0%). mPC developed on average 1.3 years, and mCRPC on average 3.1 years after PC diagnosis, with no significant differences in time to progression based on BRCA status or race/ethnicity. 0.6% and 3.5% of patients had BRCA1 and BRCA2 PGVs, respectively, with no significant differences in frequency between Black and White patients or mCRPC vs. mCSPC.
CONCLUSIONS: Our data is concordant with published mPC literature, highlighting the potential of matched genomic and claims data to answer clinically relevant questions. The impact of BRCA status and race/ethnicity on the course of mPC should be further explored.
Code
CO166
Topic
Health Policy & Regulatory, Real World Data & Information Systems
Topic Subcategory
Health & Insurance Records Systems, Health Disparities & Equity
Disease
No Additional Disease & Conditions/Specialized Treatment Areas