Real-World Prevalence of Genetic Mutations in Female Breast Cancer Patients Aged <65 Vs. >=65 Years in the US between 2014 and 2022
Author(s)
Amato G1, LaVallee C2, Thompson C3, Mushtaq M3
1TriNetX, New York, NJ, USA, 2TriNetX Inc., Austin, TX, USA, 3TriNetX Inc., Cambridge, MA, USA
Presentation Documents
OBJECTIVES: Genetic mutations in ERBB2, TP53, PIK3CA, BRAF, EGFR and KRAS are linked to a higher susceptibility for developing breast cancer. Thus, genetic evaluation is a critical part of patient care. This study evaluated differences in U.S. age demographics and genotype testing in a real-world population of patients with advanced breast cancer (ABC) between 2014 and 2022.
METHODS: Using curated, structured, de-identified electronic health records data from 17 U.S. centers in the TriNetX Research Network, a cohort of 20,339 ABC patients who received genetic testing were identified. Data enriched with lab, genomic, pathology, NLP-abstracted, and death registry data were analyzed to assess demographic and clinical characteristics summarized using descriptive statistics. The population was matched and stratified by age category (<65 and >=65) and genetic test. Groups were compared using a Cochran–Mantel–Haenszel test. Statistical tests were conducted at the alpha=0.05 level of significance.
RESULTS: Of the ABC patients identified, the mean (SD) age of women in the study was 68.5 (12.8) years. Among these women 8,556 (42%) were Black, 7,765 (38%) were White, 505 (2%) were Asian, and 19 (1%) were other. Women over the age of 65 underwent significantly more testing than women under 65 years (p<0.001). The following shows the number of each test performed by age category (65+ vs <65) ERBB2 = 11,515 vs. 8,053, TP53 = 117 vs. 96, KRAS = 150 vs. 31, PIK3CA =105 vs. 61, BRAF = 80 vs. 32, EGFR expression = 64 vs. 35.
CONCLUSIONS:
These findings demonstrate that there are statistically significant differences in genetic testing utilization favoring patients 65 and older in a population of real-world advanced breast cancer patients.Conference/Value in Health Info
Value in Health, Volume 26, Issue 6, S2 (June 2023)
Code
RWD164
Topic
Real World Data & Information Systems
Topic Subcategory
Distributed Data & Research Networks
Disease
Oncology