Abstract

PurposeDifferences in bladder cancer outcomes have been demonstrated by sex and race/ethnicity, with studies showing a higher burden of adverse outcomes among women and racially minoritized populations. Despite these epidemiologic differences, populations with disproportionally adverse outcomes are often underrepresented in genomic cohorts. This exclusion impacts the accuracy and generalizability of genomic studies in bladder cancer and has the potential to widen disparities by sex and/or race/ethnicity. Basic ProceduresWe analyzed pooled somatic mutational data from publicly available cohorts in the cBioPortal open access platform. FindingsA total of 796 unique patients were identified. Average age for the cohort was 67 years (range: 25–98 years), 188 (24%) were female, and the majority were White (n = 423, 85% among those who report race). Median total mutation count was 91 (IQR: 20, 202) per patient. We used multivariable logistic regression to independently evaluate the association between race/sex and mutation status in each of 122 genes of interest, identified from TCGA, adjusting for age and bladder cancer invasive status. In adjusted analyses, male sex was associated with increased risk of mutation in ARID1A, CHD6, and NCOR1 compared with female sex. White race was associated with increased risk of mutation in ARID1A, EP300, PIK3CA, and TP53 and decreased risk of mutation in HRAS compared with non-White race. ConclusionsThese differences highlight the importance of enriching cohorts for female and non-White patients in genomic studies and clinical trials, especially as we test the use of molecular biomarkers to personalize care for patients with bladder cancer.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call