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Impact of multi-gene mutational profiling on clinical trial outcomes in metastatic breast cancer
PURPOSE: Next-generation sequencing (NGS) has identified recurrent genomic alterations in metastatic breast cancer (MBC); however, the clinical utility of incorporating routine sequencing to guide treatment decisions in this setting is unclear. We examine the frequency of genomic alterations in MBC...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5847065/ https://www.ncbi.nlm.nih.gov/pubmed/29177603 http://dx.doi.org/10.1007/s10549-017-4580-2 |
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author | Pezo, Rossanna C. Chen, Tom W. Berman, Hal K. Mulligan, Anna M. Razak, Albiruni A. Siu, Lillian L. Cescon, David W. Amir, Eitan Elser, Christine Warr, David G. Sridhar, Srikala S. Yu, Celeste Wang, Lisa Stockley, Tracy L. Kamel-Reid, Suzanne Bedard, Philippe L. |
author_facet | Pezo, Rossanna C. Chen, Tom W. Berman, Hal K. Mulligan, Anna M. Razak, Albiruni A. Siu, Lillian L. Cescon, David W. Amir, Eitan Elser, Christine Warr, David G. Sridhar, Srikala S. Yu, Celeste Wang, Lisa Stockley, Tracy L. Kamel-Reid, Suzanne Bedard, Philippe L. |
author_sort | Pezo, Rossanna C. |
collection | PubMed |
description | PURPOSE: Next-generation sequencing (NGS) has identified recurrent genomic alterations in metastatic breast cancer (MBC); however, the clinical utility of incorporating routine sequencing to guide treatment decisions in this setting is unclear. We examine the frequency of genomic alterations in MBC patients from academic and community hospitals and correlate with clinical outcomes. METHODS: MBC patients with good performance status were prospectively recruited at the Princess Margaret Cancer Centre (PM) in Canada. Molecular profiling on DNA extracted from FFPE archival tissues was performed on the Sequenom MassArray platform or the TruSeq Amplicon Cancer Panel (TSACP) on the MiSeq platform. Clinical trial outcomes by RECIST 1.1 and time on treatment were reviewed retrospectively. RESULTS: From January 2012 to November 2015, 483 MBC patients were enrolled and 440 were genotyped. At least one somatic mutation was identified in 46% of patients, most commonly in PIK3CA (28%) or TP53 (13%). Of 203 patients with ≥ 1 mutation(s), 15% were treated on genotype-matched and 9% on non-matched trials. There was no significant difference for median time on treatment for patients treated on matched vs. non-matched therapies (3.6 vs. 3.8 months; p = 0.89). CONCLUSIONS: This study provides real-world outcomes on hotspot genotyping and small targeted panel sequencing of MBC patients from academic and community settings. Few patients were matched to clinical trials with targeted therapies. More comprehensive profiling and improved access to clinical trials may increase therapeutic options for patients with actionable mutations. Further studies are needed to evaluate if this approach leads to improved clinical outcomes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10549-017-4580-2) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5847065 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-58470652018-03-20 Impact of multi-gene mutational profiling on clinical trial outcomes in metastatic breast cancer Pezo, Rossanna C. Chen, Tom W. Berman, Hal K. Mulligan, Anna M. Razak, Albiruni A. Siu, Lillian L. Cescon, David W. Amir, Eitan Elser, Christine Warr, David G. Sridhar, Srikala S. Yu, Celeste Wang, Lisa Stockley, Tracy L. Kamel-Reid, Suzanne Bedard, Philippe L. Breast Cancer Res Treat Clinical Trial PURPOSE: Next-generation sequencing (NGS) has identified recurrent genomic alterations in metastatic breast cancer (MBC); however, the clinical utility of incorporating routine sequencing to guide treatment decisions in this setting is unclear. We examine the frequency of genomic alterations in MBC patients from academic and community hospitals and correlate with clinical outcomes. METHODS: MBC patients with good performance status were prospectively recruited at the Princess Margaret Cancer Centre (PM) in Canada. Molecular profiling on DNA extracted from FFPE archival tissues was performed on the Sequenom MassArray platform or the TruSeq Amplicon Cancer Panel (TSACP) on the MiSeq platform. Clinical trial outcomes by RECIST 1.1 and time on treatment were reviewed retrospectively. RESULTS: From January 2012 to November 2015, 483 MBC patients were enrolled and 440 were genotyped. At least one somatic mutation was identified in 46% of patients, most commonly in PIK3CA (28%) or TP53 (13%). Of 203 patients with ≥ 1 mutation(s), 15% were treated on genotype-matched and 9% on non-matched trials. There was no significant difference for median time on treatment for patients treated on matched vs. non-matched therapies (3.6 vs. 3.8 months; p = 0.89). CONCLUSIONS: This study provides real-world outcomes on hotspot genotyping and small targeted panel sequencing of MBC patients from academic and community settings. Few patients were matched to clinical trials with targeted therapies. More comprehensive profiling and improved access to clinical trials may increase therapeutic options for patients with actionable mutations. Further studies are needed to evaluate if this approach leads to improved clinical outcomes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10549-017-4580-2) contains supplementary material, which is available to authorized users. Springer US 2017-11-24 2018 /pmc/articles/PMC5847065/ /pubmed/29177603 http://dx.doi.org/10.1007/s10549-017-4580-2 Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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. |
spellingShingle | Clinical Trial Pezo, Rossanna C. Chen, Tom W. Berman, Hal K. Mulligan, Anna M. Razak, Albiruni A. Siu, Lillian L. Cescon, David W. Amir, Eitan Elser, Christine Warr, David G. Sridhar, Srikala S. Yu, Celeste Wang, Lisa Stockley, Tracy L. Kamel-Reid, Suzanne Bedard, Philippe L. Impact of multi-gene mutational profiling on clinical trial outcomes in metastatic breast cancer |
title | Impact of multi-gene mutational profiling on clinical trial outcomes in metastatic breast cancer |
title_full | Impact of multi-gene mutational profiling on clinical trial outcomes in metastatic breast cancer |
title_fullStr | Impact of multi-gene mutational profiling on clinical trial outcomes in metastatic breast cancer |
title_full_unstemmed | Impact of multi-gene mutational profiling on clinical trial outcomes in metastatic breast cancer |
title_short | Impact of multi-gene mutational profiling on clinical trial outcomes in metastatic breast cancer |
title_sort | impact of multi-gene mutational profiling on clinical trial outcomes in metastatic breast cancer |
topic | Clinical Trial |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5847065/ https://www.ncbi.nlm.nih.gov/pubmed/29177603 http://dx.doi.org/10.1007/s10549-017-4580-2 |
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