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Molecular features of untreated breast cancer and initial metastatic event inform clinical decision-making and predict outcome: long-term results of ESOPE, a single-arm prospective multicenter study
BACKGROUND: Prognosis evaluation of advanced breast cancer and therapeutic strategy are mostly based on clinical features of advanced disease and molecular profiling of the primary tumor. Very few studies have evaluated the impact of metastatic subtyping during the initial metastatic event in a pros...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7962302/ https://www.ncbi.nlm.nih.gov/pubmed/33722295 http://dx.doi.org/10.1186/s13073-021-00862-6 |
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author | Callens, Céline Driouch, Keltouma Boulai, Anaïs Tariq, Zakia Comte, Aurélie Berger, Frédérique Belin, Lisa Bièche, Ivan Servois, Vincent Legoix, Patricia Bernard, Virginie Baulande, Sylvain Chemlali, Walid Bidard, François-Clément Fourchotte, Virginie Salomon, Anne Vincent- Brain, Etienne Lidereau, Rosette Bachelot, Thomas Saghatchian, Mahasti Campone, Mario Giacchetti, Sylvie Zafrani, Brigitte Sigal Cottu, Paul |
author_facet | Callens, Céline Driouch, Keltouma Boulai, Anaïs Tariq, Zakia Comte, Aurélie Berger, Frédérique Belin, Lisa Bièche, Ivan Servois, Vincent Legoix, Patricia Bernard, Virginie Baulande, Sylvain Chemlali, Walid Bidard, François-Clément Fourchotte, Virginie Salomon, Anne Vincent- Brain, Etienne Lidereau, Rosette Bachelot, Thomas Saghatchian, Mahasti Campone, Mario Giacchetti, Sylvie Zafrani, Brigitte Sigal Cottu, Paul |
author_sort | Callens, Céline |
collection | PubMed |
description | BACKGROUND: Prognosis evaluation of advanced breast cancer and therapeutic strategy are mostly based on clinical features of advanced disease and molecular profiling of the primary tumor. Very few studies have evaluated the impact of metastatic subtyping during the initial metastatic event in a prospective study. The genomic landscape of metastatic breast cancer has mostly been described in very advanced, pretreated disease, limiting the findings transferability to clinical use. METHODS: We developed a multicenter, single-arm, prospective clinical trial in order to address these issues. Between November 2010 and September 2013, 123 eligible patients were included. Patients at the first, untreated metastatic event were eligible. All matched primary tumors and metastatic samples were centrally reviewed for pathological typing. Targeted and whole-exome sequencing was applied to matched pairs of frozen tissue. A multivariate overall survival analysis was performed (median follow-up 64 months). RESULTS: Per central review in 84 patients (out of 130), we show that luminal A breast tumors are more prone to subtype switching. By combining targeted sequencing of a 91 gene panel (n = 67) and whole-exome sequencing (n = 30), a slight excess of mutations is observed in the metastases. Luminal A breast cancer has the most heterogeneous mutational profile and the highest number of mutational signatures, when comparing primary tumor and the matched metastatic tissue. Tumors with a subtype change have more mutations that are private. The metastasis-specific mutation load is significantly higher in late than in de novo metastases. The most frequently mutated genes were TP53 and PIK3CA. The most frequent metastasis-specific druggable genes were PIK3CA, PTEN, KDR, ALK, CDKN2A, NOTCH4, POLE, SETD2, SF3B1, and TSC2. Long-term outcome is driven by a combination of tumor load and metastasis biology. CONCLUSIONS: Profiling of the first, untreated, metastatic event of breast cancer reveals a profound heterogeneity mostly in luminal A tumors and in late metastases. Based on this profiling, we can derive information relevant to prognosis and therapeutic intervention, which support current guidelines recommending a biopsy at the first metastatic relapse. TRIAL REGISTRATION: The trial was registered at ClinicalTrials.gov (NCT01956552). SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13073-021-00862-6. |
format | Online Article Text |
id | pubmed-7962302 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-79623022021-03-16 Molecular features of untreated breast cancer and initial metastatic event inform clinical decision-making and predict outcome: long-term results of ESOPE, a single-arm prospective multicenter study Callens, Céline Driouch, Keltouma Boulai, Anaïs Tariq, Zakia Comte, Aurélie Berger, Frédérique Belin, Lisa Bièche, Ivan Servois, Vincent Legoix, Patricia Bernard, Virginie Baulande, Sylvain Chemlali, Walid Bidard, François-Clément Fourchotte, Virginie Salomon, Anne Vincent- Brain, Etienne Lidereau, Rosette Bachelot, Thomas Saghatchian, Mahasti Campone, Mario Giacchetti, Sylvie Zafrani, Brigitte Sigal Cottu, Paul Genome Med Research BACKGROUND: Prognosis evaluation of advanced breast cancer and therapeutic strategy are mostly based on clinical features of advanced disease and molecular profiling of the primary tumor. Very few studies have evaluated the impact of metastatic subtyping during the initial metastatic event in a prospective study. The genomic landscape of metastatic breast cancer has mostly been described in very advanced, pretreated disease, limiting the findings transferability to clinical use. METHODS: We developed a multicenter, single-arm, prospective clinical trial in order to address these issues. Between November 2010 and September 2013, 123 eligible patients were included. Patients at the first, untreated metastatic event were eligible. All matched primary tumors and metastatic samples were centrally reviewed for pathological typing. Targeted and whole-exome sequencing was applied to matched pairs of frozen tissue. A multivariate overall survival analysis was performed (median follow-up 64 months). RESULTS: Per central review in 84 patients (out of 130), we show that luminal A breast tumors are more prone to subtype switching. By combining targeted sequencing of a 91 gene panel (n = 67) and whole-exome sequencing (n = 30), a slight excess of mutations is observed in the metastases. Luminal A breast cancer has the most heterogeneous mutational profile and the highest number of mutational signatures, when comparing primary tumor and the matched metastatic tissue. Tumors with a subtype change have more mutations that are private. The metastasis-specific mutation load is significantly higher in late than in de novo metastases. The most frequently mutated genes were TP53 and PIK3CA. The most frequent metastasis-specific druggable genes were PIK3CA, PTEN, KDR, ALK, CDKN2A, NOTCH4, POLE, SETD2, SF3B1, and TSC2. Long-term outcome is driven by a combination of tumor load and metastasis biology. CONCLUSIONS: Profiling of the first, untreated, metastatic event of breast cancer reveals a profound heterogeneity mostly in luminal A tumors and in late metastases. Based on this profiling, we can derive information relevant to prognosis and therapeutic intervention, which support current guidelines recommending a biopsy at the first metastatic relapse. TRIAL REGISTRATION: The trial was registered at ClinicalTrials.gov (NCT01956552). SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13073-021-00862-6. BioMed Central 2021-03-15 /pmc/articles/PMC7962302/ /pubmed/33722295 http://dx.doi.org/10.1186/s13073-021-00862-6 Text en © The Author(s) 2021 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 Callens, Céline Driouch, Keltouma Boulai, Anaïs Tariq, Zakia Comte, Aurélie Berger, Frédérique Belin, Lisa Bièche, Ivan Servois, Vincent Legoix, Patricia Bernard, Virginie Baulande, Sylvain Chemlali, Walid Bidard, François-Clément Fourchotte, Virginie Salomon, Anne Vincent- Brain, Etienne Lidereau, Rosette Bachelot, Thomas Saghatchian, Mahasti Campone, Mario Giacchetti, Sylvie Zafrani, Brigitte Sigal Cottu, Paul Molecular features of untreated breast cancer and initial metastatic event inform clinical decision-making and predict outcome: long-term results of ESOPE, a single-arm prospective multicenter study |
title | Molecular features of untreated breast cancer and initial metastatic event inform clinical decision-making and predict outcome: long-term results of ESOPE, a single-arm prospective multicenter study |
title_full | Molecular features of untreated breast cancer and initial metastatic event inform clinical decision-making and predict outcome: long-term results of ESOPE, a single-arm prospective multicenter study |
title_fullStr | Molecular features of untreated breast cancer and initial metastatic event inform clinical decision-making and predict outcome: long-term results of ESOPE, a single-arm prospective multicenter study |
title_full_unstemmed | Molecular features of untreated breast cancer and initial metastatic event inform clinical decision-making and predict outcome: long-term results of ESOPE, a single-arm prospective multicenter study |
title_short | Molecular features of untreated breast cancer and initial metastatic event inform clinical decision-making and predict outcome: long-term results of ESOPE, a single-arm prospective multicenter study |
title_sort | molecular features of untreated breast cancer and initial metastatic event inform clinical decision-making and predict outcome: long-term results of esope, a single-arm prospective multicenter study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7962302/ https://www.ncbi.nlm.nih.gov/pubmed/33722295 http://dx.doi.org/10.1186/s13073-021-00862-6 |
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