Variation in Molecularly Defined Prostate Tumor Subtypes by Self-identified Race.
Publication/Presentation Date
6-1-2022
Abstract
BACKGROUND: Socioeconomic and health care utilization factors are major drivers of prostate cancer (PC) mortality disparities in the USA; however, tumor molecular heterogeneity may also contribute to the higher mortality among Black men.
OBJECTIVE: To compare differences in PC subtype frequency and genomic aggressiveness by self-identified race.
DESIGN SETTING AND PARTICIPANTS: Five molecular subtype classifiers were applied for 426 Black and 762 White PC patients in the Decipher Genomics Resource Information Database (GRID).
OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Differences in subtype frequency and tumor genomic risk (Decipher score >0.6) by race were evaluated using χ
RESULTS AND LIMITATIONS: Subtype frequencies differed by race for four classifiers. Subtypes characterized by the presence of
CONCLUSIONS: The frequency of PC molecular subtypes differed by self-identified race. Additional studies are required to evaluate whether our observations suggest differences in the tumor genomic risk of progression by self-identified race.
PATIENT SUMMARY: We studied five classifiers that identify subtypes of prostate tumors and found that subtypes differed in frequency between Black and White patients. Further research is warranted to evaluate how differences in tumor subtypes may contribute to disparities in prostate cancer mortality.
Volume
40
First Page
19
Last Page
26
ISSN
2666-1683
Published In/Presented At
Kensler, K. H., Awasthi, S., Alshalalfa, M., Trock, B. J., Freedland, S. J., Freeman, M. R., You, S., Mahal, B. A., Den, R. B., Dicker, A. P., Karnes, R. J., Klein, E. A., Lal, P., Liu, Y., Davicioni, E., Rayford, W., Yamoah, K., & Rebbeck, T. R. (2022). Variation in Molecularly Defined Prostate Tumor Subtypes by Self-identified Race. European urology open science, 40, 19–26. https://doi.org/10.1016/j.euros.2022.03.014
Disciplines
Business Administration, Management, and Operations | Health and Medical Administration | Management Sciences and Quantitative Methods
PubMedID
35638091
Department(s)
Administration and Leadership
Document Type
Article