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Identification of biomarkers of response to preoperative talazoparib monotherapy in treatment naïve gBRCA+ breast cancers
Germline mutations in BRCA1 or BRCA2 exist in ~2–7% of breast cancer patients, which has led to the approval of PARP inhibitors in the advanced setting. We have previously reported a phase II neoadjuvant trial of single agent talazoparib for patients with germline BRCA pathogenic variants with a pat...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9090765/ https://www.ncbi.nlm.nih.gov/pubmed/35538088 http://dx.doi.org/10.1038/s41523-022-00427-9 |
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author | Liu, Xuan Ge, Zhongqi Yang, Fei Contreras, Alejandro Lee, Sanghoon White, Jason B. Lu, Yiling Labrie, Marilyne Arun, Banu K. Moulder, Stacy L. Mills, Gordon B. Piwnica-Worms, Helen Litton, Jennifer K. Chang, Jeffrey T. |
author_facet | Liu, Xuan Ge, Zhongqi Yang, Fei Contreras, Alejandro Lee, Sanghoon White, Jason B. Lu, Yiling Labrie, Marilyne Arun, Banu K. Moulder, Stacy L. Mills, Gordon B. Piwnica-Worms, Helen Litton, Jennifer K. Chang, Jeffrey T. |
author_sort | Liu, Xuan |
collection | PubMed |
description | Germline mutations in BRCA1 or BRCA2 exist in ~2–7% of breast cancer patients, which has led to the approval of PARP inhibitors in the advanced setting. We have previously reported a phase II neoadjuvant trial of single agent talazoparib for patients with germline BRCA pathogenic variants with a pathologic complete response (pCR) rate of 53%. As nearly half of the patients treated did not have pCR, better strategies are needed to overcome treatment resistance. To this end, we conducted multi-omic analysis of 13 treatment naïve breast cancer tumors from patients that went on to receive single-agent neoadjuvant talazoparib. We looked for biomarkers that were predictive of response (assessed by residual cancer burden) after 6 months of therapy. We found that all resistant tumors exhibited either the loss of SHLD2, expression of a hypoxia signature, or expression of a stem cell signature. These results indicate that the deep analysis of pre-treatment tumors can identify biomarkers that are predictive of response to talazoparib and potentially other PARP inhibitors, and provides a framework that will allow for better selection of patients for treatment, as well as a roadmap for the development of novel combination therapies to prevent emergence of resistance. |
format | Online Article Text |
id | pubmed-9090765 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-90907652022-05-12 Identification of biomarkers of response to preoperative talazoparib monotherapy in treatment naïve gBRCA+ breast cancers Liu, Xuan Ge, Zhongqi Yang, Fei Contreras, Alejandro Lee, Sanghoon White, Jason B. Lu, Yiling Labrie, Marilyne Arun, Banu K. Moulder, Stacy L. Mills, Gordon B. Piwnica-Worms, Helen Litton, Jennifer K. Chang, Jeffrey T. NPJ Breast Cancer Article Germline mutations in BRCA1 or BRCA2 exist in ~2–7% of breast cancer patients, which has led to the approval of PARP inhibitors in the advanced setting. We have previously reported a phase II neoadjuvant trial of single agent talazoparib for patients with germline BRCA pathogenic variants with a pathologic complete response (pCR) rate of 53%. As nearly half of the patients treated did not have pCR, better strategies are needed to overcome treatment resistance. To this end, we conducted multi-omic analysis of 13 treatment naïve breast cancer tumors from patients that went on to receive single-agent neoadjuvant talazoparib. We looked for biomarkers that were predictive of response (assessed by residual cancer burden) after 6 months of therapy. We found that all resistant tumors exhibited either the loss of SHLD2, expression of a hypoxia signature, or expression of a stem cell signature. These results indicate that the deep analysis of pre-treatment tumors can identify biomarkers that are predictive of response to talazoparib and potentially other PARP inhibitors, and provides a framework that will allow for better selection of patients for treatment, as well as a roadmap for the development of novel combination therapies to prevent emergence of resistance. Nature Publishing Group UK 2022-05-10 /pmc/articles/PMC9090765/ /pubmed/35538088 http://dx.doi.org/10.1038/s41523-022-00427-9 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 Liu, Xuan Ge, Zhongqi Yang, Fei Contreras, Alejandro Lee, Sanghoon White, Jason B. Lu, Yiling Labrie, Marilyne Arun, Banu K. Moulder, Stacy L. Mills, Gordon B. Piwnica-Worms, Helen Litton, Jennifer K. Chang, Jeffrey T. Identification of biomarkers of response to preoperative talazoparib monotherapy in treatment naïve gBRCA+ breast cancers |
title | Identification of biomarkers of response to preoperative talazoparib monotherapy in treatment naïve gBRCA+ breast cancers |
title_full | Identification of biomarkers of response to preoperative talazoparib monotherapy in treatment naïve gBRCA+ breast cancers |
title_fullStr | Identification of biomarkers of response to preoperative talazoparib monotherapy in treatment naïve gBRCA+ breast cancers |
title_full_unstemmed | Identification of biomarkers of response to preoperative talazoparib monotherapy in treatment naïve gBRCA+ breast cancers |
title_short | Identification of biomarkers of response to preoperative talazoparib monotherapy in treatment naïve gBRCA+ breast cancers |
title_sort | identification of biomarkers of response to preoperative talazoparib monotherapy in treatment naïve gbrca+ breast cancers |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9090765/ https://www.ncbi.nlm.nih.gov/pubmed/35538088 http://dx.doi.org/10.1038/s41523-022-00427-9 |
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