Landscape of genomic alterations (GA) in urothelial bladder carcinoma (UBC) in patients of East Asian and South Asian ancestry.

Abstract

567 Background: UBC is the 10th most common cancer worldwide, with more than 550,00 new cases annually (WHO, International Agency for Research on Cancer, 2020). Rates vary by regions of the world, explained in part by the fact that different genetic ancestries demonstrate varying germline genetics, environmental exposures, and social risk factors. Methods: 8,728 UBC samples underwent hybrid capture-based comprehensive genomic profiling (CGP) to determine all classes of genomic alterations (GA), microsatellite instability (MSI) status, tumor mutational burden (TMB), and genomic trinucleotide signature. Predominant genetic ancestry was determined using a SNP-based approach using an algorithm trained on the 1000 Genomes data (Connelly et al. AACR 2018). Ancestry was classified as one of the five following categories: African (AFR), European (EUR), Central and South American (AMR), South Asian (SAS), or East Asian (EAS). Results: Of the cohort, 7,447 (85.3%) were EUR, 541 (6.2%) were AFR, 461 (5.3%) were of AMR, 74 (0.85%) were SAS, and 205 (2.3%) were EAS. Age, gender, genomic signature distributions, and MSI status (range 0.9%-1.5%) were similar in all cohorts. The frequency of TMB >10 mutations/Megabase was similar in all cohorts (range 30.7%-39.1%) as was the median TMB (6.3 mutations/Megabase for all). At 67.6%, TP53 was the most frequent GA in SAS cohort. When compared with the non-SAS cohort, TERT GA were lower in the SAS cohort (58.1% vs 72.6%; p=0.06) as were GA in FGFR3 (9.5% vs 18.5%, p=0.25). In the EAS cohort, at 59.0%, GA in TP53 were the most common. TERT mutations were significantly lower in EAS compared to the non-EAS cohort (54.1% vs 72.9%; p <0.001). When compared with the non-EAS cohort, PIK3CA alterations were significantly less common in the EAS cohort (12.7% vs 22.1%, p =0.005). GA in FGFR3 were similar in the EAS and non-EAS cohorts (16.6% vs 18.4%). There were no significant differences in genomic landscapes identified between the EAS and SAS cohorts when directly compared to one another. Conclusions: The results from this comprehensive genomic analysis of UBC in East Asian and South Asian patients provides important insight into the unique differences in the genomic landscapes that exist on a population level. These findings should motivate future investigators to include more diverse patient populations in clinical trials of targeted agents and immunotherapy strategies.