Collaborative study from the Bladder Cancer Advocacy Network for the genomic analysis of metastatic urothelial cancer Journal Article


Authors: Damrauer, J. S.; Beckabir, W.; Klomp, J.; Zhou, M.; Plimack, E. R.; Galsky, M. D.; Grivas, P.; Hahn, N. M.; O’Donnell, P. H.; Iyer, G.; Quinn, D. I.; Vincent, B. G.; Quale, D. Z.; Wobker, S. E.; Hoadley, K. A.; Kim, W. Y.; Milowsky, M. I.
Article Title: Collaborative study from the Bladder Cancer Advocacy Network for the genomic analysis of metastatic urothelial cancer
Abstract: Urothelial Cancer - Genomic Analysis to Improve Patient Outcomes and Research (NCT02643043), UC-GENOME, is a genomic analysis and biospecimen repository study in 218 patients with metastatic urothelial carcinoma. Here we report on the primary outcome of the UC-GENOME—the proportion of subjects who received next generation sequencing (NGS) with treatment options—and present the initial genomic analyses and clinical correlates. 69.3% of subjects had potential treatment options, however only 5.0% received therapy based on NGS. We found an increased frequency of TP53E285K mutations as compared to non-metastatic cohorts and identified features associated with benefit to chemotherapy and immune checkpoint inhibition, including: Ba/Sq and Stroma-rich subtypes, APOBEC mutational signature (SBS13), and inflamed tumor immune phenotype. Finally, we derive a computational model incorporating both genomic and clinical features predictive of immune checkpoint inhibitor response. Future work will utilize the biospecimens alongside these foundational analyses toward a better understanding of urothelial carcinoma biology. © 2022, The Author(s).
Keywords: cancer chemotherapy; controlled study; aged; primary tumor; gene mutation; major clinical study; genetics; mutation; clinical feature; chemotherapy; genetic analysis; phenotype; immune system; prevalence; cohort analysis; pathology; inhibitor; bladder tumor; urinary bladder neoplasms; drug response; urinary bladder; genomics; tumor immunity; tumor; carcinoma, transitional cell; computer model; transitional cell carcinoma; bladder; tumor microenvironment; immune checkpoint inhibitor; high throughput sequencing; high-throughput nucleotide sequencing; dna sequencing; cancer; humans; human; male; female; article; rna sequencing; oncogenomics; apolipoprotein b mrna editing enzyme catalytic polypeptide like; memory b lymphocyte
Journal Title: Nature Communications
Volume: 13
ISSN: 2041-1723
Publisher: Nature Publishing Group  
Date Published: 2022-11-04
Start Page: 6658
Language: English
DOI: 10.1038/s41467-022-33980-9
PUBMED: 36333289
PROVIDER: scopus
PMCID: PMC9636269
DOI/URL:
Notes: PDF shortens the author: Gopakumar Iye's first name to: Gopa -- Source: Scopus
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  1. Gopakumar Vasudeva Iyer
    352 Iyer