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

  • Jeffrey S. Damrauer
  • , Wolfgang Beckabir
  • , Jeff Klomp
  • , Mi Zhou
  • , Elizabeth R. Plimack
  • , Matthew D. Galsky
  • , Petros Grivas
  • , Noah M. Hahn
  • , Peter H. O’Donnell
  • , Gopa Iyer
  • , David I. Quinn
  • , Benjamin G. Vincent
  • , Diane Zipursky Quale
  • , Sara E. Wobker
  • , Katherine A. Hoadley
  • , William Y. Kim
  • , Matthew I. Milowsky
  • University of North Carolina at Chapel Hill
  • Icahn School of Medicine at Mount Sinai
  • University of Washington
  • Fred Hutchinson Cancer Research Center
  • Johns Hopkins University
  • University of Chicago
  • Memorial Sloan-Kettering Cancer Center
  • University of Southern California
  • Bladder Cancer Advocacy Network

Research output: Contribution to journalArticlepeer-review

47 Scopus citations

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.

Original languageEnglish
Article number6658
Pages (from-to)6658
JournalNature Communications
Volume13
Issue number1
DOIs
StatePublished - Dec 2022

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Carcinoma, Transitional Cell/genetics
  • Genomics
  • High-Throughput Nucleotide Sequencing
  • Humans
  • Urinary Bladder Neoplasms/pathology
  • Urinary Bladder/pathology

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