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

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 r...

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Autores principales: Damrauer, Jeffrey S., Beckabir, Wolfgang, Klomp, Jeff, Zhou, Mi, Plimack, Elizabeth R., Galsky, Matthew D., Grivas, Petros, Hahn, Noah M., O’Donnell, Peter H., Iyer, Gopa, Quinn, David I., Vincent, Benjamin G., Quale, Diane Zipursky, Wobker, Sara E., Hoadley, Katherine A., Kim, William Y., Milowsky, Matthew I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9636269/
https://www.ncbi.nlm.nih.gov/pubmed/36333289
http://dx.doi.org/10.1038/s41467-022-33980-9
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author Damrauer, Jeffrey S.
Beckabir, Wolfgang
Klomp, Jeff
Zhou, Mi
Plimack, Elizabeth R.
Galsky, Matthew D.
Grivas, Petros
Hahn, Noah M.
O’Donnell, Peter H.
Iyer, Gopa
Quinn, David I.
Vincent, Benjamin G.
Quale, Diane Zipursky
Wobker, Sara E.
Hoadley, Katherine A.
Kim, William Y.
Milowsky, Matthew I.
author_facet Damrauer, Jeffrey S.
Beckabir, Wolfgang
Klomp, Jeff
Zhou, Mi
Plimack, Elizabeth R.
Galsky, Matthew D.
Grivas, Petros
Hahn, Noah M.
O’Donnell, Peter H.
Iyer, Gopa
Quinn, David I.
Vincent, Benjamin G.
Quale, Diane Zipursky
Wobker, Sara E.
Hoadley, Katherine A.
Kim, William Y.
Milowsky, Matthew I.
author_sort Damrauer, Jeffrey S.
collection PubMed
description 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 TP53(E285K) 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.
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spelling pubmed-96362692022-11-06 Collaborative study from the Bladder Cancer Advocacy Network for the genomic analysis of metastatic urothelial cancer Damrauer, Jeffrey S. Beckabir, Wolfgang Klomp, Jeff Zhou, Mi Plimack, Elizabeth R. Galsky, Matthew D. Grivas, Petros Hahn, Noah M. O’Donnell, Peter H. Iyer, Gopa Quinn, David I. Vincent, Benjamin G. Quale, Diane Zipursky Wobker, Sara E. Hoadley, Katherine A. Kim, William Y. Milowsky, Matthew I. Nat Commun Article 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 TP53(E285K) 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. Nature Publishing Group UK 2022-11-04 /pmc/articles/PMC9636269/ /pubmed/36333289 http://dx.doi.org/10.1038/s41467-022-33980-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Damrauer, Jeffrey S.
Beckabir, Wolfgang
Klomp, Jeff
Zhou, Mi
Plimack, Elizabeth R.
Galsky, Matthew D.
Grivas, Petros
Hahn, Noah M.
O’Donnell, Peter H.
Iyer, Gopa
Quinn, David I.
Vincent, Benjamin G.
Quale, Diane Zipursky
Wobker, Sara E.
Hoadley, Katherine A.
Kim, William Y.
Milowsky, Matthew I.
Collaborative study from the Bladder Cancer Advocacy Network for the genomic analysis of metastatic urothelial cancer
title Collaborative study from the Bladder Cancer Advocacy Network for the genomic analysis of metastatic urothelial cancer
title_full Collaborative study from the Bladder Cancer Advocacy Network for the genomic analysis of metastatic urothelial cancer
title_fullStr Collaborative study from the Bladder Cancer Advocacy Network for the genomic analysis of metastatic urothelial cancer
title_full_unstemmed Collaborative study from the Bladder Cancer Advocacy Network for the genomic analysis of metastatic urothelial cancer
title_short Collaborative study from the Bladder Cancer Advocacy Network for the genomic analysis of metastatic urothelial cancer
title_sort collaborative study from the bladder cancer advocacy network for the genomic analysis of metastatic urothelial cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9636269/
https://www.ncbi.nlm.nih.gov/pubmed/36333289
http://dx.doi.org/10.1038/s41467-022-33980-9
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