Unknown

Dataset Information

Variation in Molecularly Defined Prostate Tumor Subtypes by Self-identified Race.


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 χ2 tests and multivariable-adjusted logistic regression models.

Results and

SUBMITTER: Kensler KH 

PROVIDER: S-EPMC9142751 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature