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Clinical implications of prospective genomic profiling of metastatic breast cancer patients
BACKGROUND: Metastatic breast cancer remains incurable. Next-generation sequencing (NGS) offers the ability to identify actionable genomic alterations in tumours which may then be matched with targeted therapies, but the implementation and utility of this approach is not well defined for patients wi...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7436992/ https://www.ncbi.nlm.nih.gov/pubmed/32811538 http://dx.doi.org/10.1186/s13058-020-01328-0 |
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author | van Geelen, Courtney T. Savas, Peter Teo, Zhi Ling Luen, Stephen J. Weng, Chen-Fang Ko, Yi-An Kuykhoven, Keilly S. Caramia, Franco Salgado, Roberto Francis, Prudence A. Dawson, Sarah-Jane Fox, Stephen B. Fellowes, Andrew Loi, Sherene |
author_facet | van Geelen, Courtney T. Savas, Peter Teo, Zhi Ling Luen, Stephen J. Weng, Chen-Fang Ko, Yi-An Kuykhoven, Keilly S. Caramia, Franco Salgado, Roberto Francis, Prudence A. Dawson, Sarah-Jane Fox, Stephen B. Fellowes, Andrew Loi, Sherene |
author_sort | van Geelen, Courtney T. |
collection | PubMed |
description | BACKGROUND: Metastatic breast cancer remains incurable. Next-generation sequencing (NGS) offers the ability to identify actionable genomic alterations in tumours which may then be matched with targeted therapies, but the implementation and utility of this approach is not well defined for patients with metastatic breast cancer. METHODS: We recruited patients with advanced breast cancer of any subtype for prospective targeted NGS of their most recent tumour samples, using a panel of 108 breast cancer-specific genes. Genes were classified as actionable or non-actionable using the European Society of Medical Oncology Scale for Clinical Actionability of Molecular Targets (ESCAT) guidelines. RESULTS: Between February 2014 and May 2019, 322 patients were enrolled onto the study, with 72% (n = 234) of patients successfully sequenced (n = 357 samples). The majority (74%, n = 171) of sequenced patients were found to carry a potentially actionable alteration, the most common being a PIK3CA mutation. Forty-three percent (n = 74) of patients with actionable alterations were referred for a clinical trial or referred for confirmatory germline testing or had a change in therapy outside of clinical trials. We found alterations in AKT1, BRCA2, CHEK2, ESR1, FGFR1, KMT2C, NCOR1, PIK3CA and TSC2 to be significantly enriched in our metastatic population compared with primary breast cancers. Concordance between primary and metastatic samples for key driver genes (TP53, ERBB2 amplification) was > 75%. Additionally, we found that patients with a higher number of mutations had a significantly worse overall survival. CONCLUSION: Genomic profiling of patients with metastatic breast cancer can have clinical implications and should be considered in all suitable patients. |
format | Online Article Text |
id | pubmed-7436992 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-74369922020-08-20 Clinical implications of prospective genomic profiling of metastatic breast cancer patients van Geelen, Courtney T. Savas, Peter Teo, Zhi Ling Luen, Stephen J. Weng, Chen-Fang Ko, Yi-An Kuykhoven, Keilly S. Caramia, Franco Salgado, Roberto Francis, Prudence A. Dawson, Sarah-Jane Fox, Stephen B. Fellowes, Andrew Loi, Sherene Breast Cancer Res Research Article BACKGROUND: Metastatic breast cancer remains incurable. Next-generation sequencing (NGS) offers the ability to identify actionable genomic alterations in tumours which may then be matched with targeted therapies, but the implementation and utility of this approach is not well defined for patients with metastatic breast cancer. METHODS: We recruited patients with advanced breast cancer of any subtype for prospective targeted NGS of their most recent tumour samples, using a panel of 108 breast cancer-specific genes. Genes were classified as actionable or non-actionable using the European Society of Medical Oncology Scale for Clinical Actionability of Molecular Targets (ESCAT) guidelines. RESULTS: Between February 2014 and May 2019, 322 patients were enrolled onto the study, with 72% (n = 234) of patients successfully sequenced (n = 357 samples). The majority (74%, n = 171) of sequenced patients were found to carry a potentially actionable alteration, the most common being a PIK3CA mutation. Forty-three percent (n = 74) of patients with actionable alterations were referred for a clinical trial or referred for confirmatory germline testing or had a change in therapy outside of clinical trials. We found alterations in AKT1, BRCA2, CHEK2, ESR1, FGFR1, KMT2C, NCOR1, PIK3CA and TSC2 to be significantly enriched in our metastatic population compared with primary breast cancers. Concordance between primary and metastatic samples for key driver genes (TP53, ERBB2 amplification) was > 75%. Additionally, we found that patients with a higher number of mutations had a significantly worse overall survival. CONCLUSION: Genomic profiling of patients with metastatic breast cancer can have clinical implications and should be considered in all suitable patients. BioMed Central 2020-08-18 2020 /pmc/articles/PMC7436992/ /pubmed/32811538 http://dx.doi.org/10.1186/s13058-020-01328-0 Text en © The Author(s) 2020 Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article van Geelen, Courtney T. Savas, Peter Teo, Zhi Ling Luen, Stephen J. Weng, Chen-Fang Ko, Yi-An Kuykhoven, Keilly S. Caramia, Franco Salgado, Roberto Francis, Prudence A. Dawson, Sarah-Jane Fox, Stephen B. Fellowes, Andrew Loi, Sherene Clinical implications of prospective genomic profiling of metastatic breast cancer patients |
title | Clinical implications of prospective genomic profiling of metastatic breast cancer patients |
title_full | Clinical implications of prospective genomic profiling of metastatic breast cancer patients |
title_fullStr | Clinical implications of prospective genomic profiling of metastatic breast cancer patients |
title_full_unstemmed | Clinical implications of prospective genomic profiling of metastatic breast cancer patients |
title_short | Clinical implications of prospective genomic profiling of metastatic breast cancer patients |
title_sort | clinical implications of prospective genomic profiling of metastatic breast cancer patients |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7436992/ https://www.ncbi.nlm.nih.gov/pubmed/32811538 http://dx.doi.org/10.1186/s13058-020-01328-0 |
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