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Genomic and Transcriptomic Analyses of Breast Cancer Primaries and Matched Metastases in AURORA, the Breast International Group (BIG) Molecular Screening Initiative
AURORA aims to study the processes of relapse in metastatic breast cancer (MBC) by performing multi-omics profiling on paired primary tumors and early-course metastases. Among 381 patients (primary tumor and metastasis pairs: 252 targeted gene sequencing, 152 RNA sequencing, 67 single nucleotide pol...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for Cancer Research
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9414283/ https://www.ncbi.nlm.nih.gov/pubmed/34183353 http://dx.doi.org/10.1158/2159-8290.CD-20-1647 |
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author | Aftimos, Philippe Oliveira, Mafalda Irrthum, Alexandre Fumagalli, Debora Sotiriou, Christos Gal-Yam, Einav Nili Robson, Mark E. Ndozeng, Justin Di Leo, Angelo Ciruelos, Eva M. de Azambuja, Evandro Viale, Giuseppe Scheepers, Elsemieke D. Curigliano, Giuseppe Bliss, Judith M. Reis-Filho, Jorge S. Colleoni, Marco Balic, Marija Cardoso, Fatima Albanell, Joan Duhem, Caroline Marreaud, Sandrine Romagnoli, Dario Rojas, Beatriz Gombos, Andrea Wildiers, Hans Guerrero-Zotano, Angel Hall, Peter Bonetti, Andrea Larsson, Karolina Fs Degiorgis, Martina Khodaverdi, Silvia Greil, Richard Sverrisdóttir, Ásgerdur Paoli, Marta Seyll, Ethel Loibl, Sibylle Linderholm, Barbro Zoppoli, Gabriele Davidson, Nancy E. Johannsson, Oskar Th Bedard, Philippe L. Loi, Sherene Knox, Susan Cameron, David A. Harbeck, Nadia Montoya, Maite Lasa Brandão, Mariana Vingiani, Andrea Caballero, Carmela Hilbers, Florentine S. Yates, Lucy R. Benelli, Matteo Venet, David Piccart, Martine J. |
author_facet | Aftimos, Philippe Oliveira, Mafalda Irrthum, Alexandre Fumagalli, Debora Sotiriou, Christos Gal-Yam, Einav Nili Robson, Mark E. Ndozeng, Justin Di Leo, Angelo Ciruelos, Eva M. de Azambuja, Evandro Viale, Giuseppe Scheepers, Elsemieke D. Curigliano, Giuseppe Bliss, Judith M. Reis-Filho, Jorge S. Colleoni, Marco Balic, Marija Cardoso, Fatima Albanell, Joan Duhem, Caroline Marreaud, Sandrine Romagnoli, Dario Rojas, Beatriz Gombos, Andrea Wildiers, Hans Guerrero-Zotano, Angel Hall, Peter Bonetti, Andrea Larsson, Karolina Fs Degiorgis, Martina Khodaverdi, Silvia Greil, Richard Sverrisdóttir, Ásgerdur Paoli, Marta Seyll, Ethel Loibl, Sibylle Linderholm, Barbro Zoppoli, Gabriele Davidson, Nancy E. Johannsson, Oskar Th Bedard, Philippe L. Loi, Sherene Knox, Susan Cameron, David A. Harbeck, Nadia Montoya, Maite Lasa Brandão, Mariana Vingiani, Andrea Caballero, Carmela Hilbers, Florentine S. Yates, Lucy R. Benelli, Matteo Venet, David Piccart, Martine J. |
author_sort | Aftimos, Philippe |
collection | PubMed |
description | AURORA aims to study the processes of relapse in metastatic breast cancer (MBC) by performing multi-omics profiling on paired primary tumors and early-course metastases. Among 381 patients (primary tumor and metastasis pairs: 252 targeted gene sequencing, 152 RNA sequencing, 67 single nucleotide polymorphism arrays), we found a driver role for GATA1 and MEN1 somatic mutations. Metastases were enriched in ESR1, PTEN, CDH1, PIK3CA, and RB1 mutations; MDM4 and MYC amplifications; and ARID1A deletions. An increase in clonality was observed in driver genes such as ERBB2 and RB1. Intrinsic subtype switching occurred in 36% of cases. Luminal A/B to HER2-enriched switching was associated with TP53 and/or PIK3CA mutations. Metastases had lower immune score and increased immune-permissive cells. High tumor mutational burden correlated to shorter time to relapse in HR(+)/HER2(−) cancers. ESCAT tier I/II alterations were detected in 51% of patients and matched therapy was used in 7%. Integration of multi-omics analyses in clinical practice could affect treatment strategies in MBC. SIGNIFICANCE: The AURORA program, through the genomic and transcriptomic analyses of matched primary and metastatic samples from 381 patients with breast cancer, coupled with prospectively collected clinical data, identified genomic alterations enriched in metastases and prognostic biomarkers. ESCAT tier I/II alterations were detected in more than half of the patients. This article is highlighted in the In This Issue feature, p. 2659 |
format | Online Article Text |
id | pubmed-9414283 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | American Association for Cancer Research |
record_format | MEDLINE/PubMed |
spelling | pubmed-94142832023-01-05 Genomic and Transcriptomic Analyses of Breast Cancer Primaries and Matched Metastases in AURORA, the Breast International Group (BIG) Molecular Screening Initiative Aftimos, Philippe Oliveira, Mafalda Irrthum, Alexandre Fumagalli, Debora Sotiriou, Christos Gal-Yam, Einav Nili Robson, Mark E. Ndozeng, Justin Di Leo, Angelo Ciruelos, Eva M. de Azambuja, Evandro Viale, Giuseppe Scheepers, Elsemieke D. Curigliano, Giuseppe Bliss, Judith M. Reis-Filho, Jorge S. Colleoni, Marco Balic, Marija Cardoso, Fatima Albanell, Joan Duhem, Caroline Marreaud, Sandrine Romagnoli, Dario Rojas, Beatriz Gombos, Andrea Wildiers, Hans Guerrero-Zotano, Angel Hall, Peter Bonetti, Andrea Larsson, Karolina Fs Degiorgis, Martina Khodaverdi, Silvia Greil, Richard Sverrisdóttir, Ásgerdur Paoli, Marta Seyll, Ethel Loibl, Sibylle Linderholm, Barbro Zoppoli, Gabriele Davidson, Nancy E. Johannsson, Oskar Th Bedard, Philippe L. Loi, Sherene Knox, Susan Cameron, David A. Harbeck, Nadia Montoya, Maite Lasa Brandão, Mariana Vingiani, Andrea Caballero, Carmela Hilbers, Florentine S. Yates, Lucy R. Benelli, Matteo Venet, David Piccart, Martine J. Cancer Discov Research Articles AURORA aims to study the processes of relapse in metastatic breast cancer (MBC) by performing multi-omics profiling on paired primary tumors and early-course metastases. Among 381 patients (primary tumor and metastasis pairs: 252 targeted gene sequencing, 152 RNA sequencing, 67 single nucleotide polymorphism arrays), we found a driver role for GATA1 and MEN1 somatic mutations. Metastases were enriched in ESR1, PTEN, CDH1, PIK3CA, and RB1 mutations; MDM4 and MYC amplifications; and ARID1A deletions. An increase in clonality was observed in driver genes such as ERBB2 and RB1. Intrinsic subtype switching occurred in 36% of cases. Luminal A/B to HER2-enriched switching was associated with TP53 and/or PIK3CA mutations. Metastases had lower immune score and increased immune-permissive cells. High tumor mutational burden correlated to shorter time to relapse in HR(+)/HER2(−) cancers. ESCAT tier I/II alterations were detected in 51% of patients and matched therapy was used in 7%. Integration of multi-omics analyses in clinical practice could affect treatment strategies in MBC. SIGNIFICANCE: The AURORA program, through the genomic and transcriptomic analyses of matched primary and metastatic samples from 381 patients with breast cancer, coupled with prospectively collected clinical data, identified genomic alterations enriched in metastases and prognostic biomarkers. ESCAT tier I/II alterations were detected in more than half of the patients. This article is highlighted in the In This Issue feature, p. 2659 American Association for Cancer Research 2021-11-01 2021-06-28 /pmc/articles/PMC9414283/ /pubmed/34183353 http://dx.doi.org/10.1158/2159-8290.CD-20-1647 Text en ©2021 The Authors; Published by the American Association for Cancer Research https://creativecommons.org/licenses/by-nc-nd/4.0/This open access article is distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) license. |
spellingShingle | Research Articles Aftimos, Philippe Oliveira, Mafalda Irrthum, Alexandre Fumagalli, Debora Sotiriou, Christos Gal-Yam, Einav Nili Robson, Mark E. Ndozeng, Justin Di Leo, Angelo Ciruelos, Eva M. de Azambuja, Evandro Viale, Giuseppe Scheepers, Elsemieke D. Curigliano, Giuseppe Bliss, Judith M. Reis-Filho, Jorge S. Colleoni, Marco Balic, Marija Cardoso, Fatima Albanell, Joan Duhem, Caroline Marreaud, Sandrine Romagnoli, Dario Rojas, Beatriz Gombos, Andrea Wildiers, Hans Guerrero-Zotano, Angel Hall, Peter Bonetti, Andrea Larsson, Karolina Fs Degiorgis, Martina Khodaverdi, Silvia Greil, Richard Sverrisdóttir, Ásgerdur Paoli, Marta Seyll, Ethel Loibl, Sibylle Linderholm, Barbro Zoppoli, Gabriele Davidson, Nancy E. Johannsson, Oskar Th Bedard, Philippe L. Loi, Sherene Knox, Susan Cameron, David A. Harbeck, Nadia Montoya, Maite Lasa Brandão, Mariana Vingiani, Andrea Caballero, Carmela Hilbers, Florentine S. Yates, Lucy R. Benelli, Matteo Venet, David Piccart, Martine J. Genomic and Transcriptomic Analyses of Breast Cancer Primaries and Matched Metastases in AURORA, the Breast International Group (BIG) Molecular Screening Initiative |
title | Genomic and Transcriptomic Analyses of Breast Cancer Primaries and Matched Metastases in AURORA, the Breast International Group (BIG) Molecular Screening Initiative |
title_full | Genomic and Transcriptomic Analyses of Breast Cancer Primaries and Matched Metastases in AURORA, the Breast International Group (BIG) Molecular Screening Initiative |
title_fullStr | Genomic and Transcriptomic Analyses of Breast Cancer Primaries and Matched Metastases in AURORA, the Breast International Group (BIG) Molecular Screening Initiative |
title_full_unstemmed | Genomic and Transcriptomic Analyses of Breast Cancer Primaries and Matched Metastases in AURORA, the Breast International Group (BIG) Molecular Screening Initiative |
title_short | Genomic and Transcriptomic Analyses of Breast Cancer Primaries and Matched Metastases in AURORA, the Breast International Group (BIG) Molecular Screening Initiative |
title_sort | genomic and transcriptomic analyses of breast cancer primaries and matched metastases in aurora, the breast international group (big) molecular screening initiative |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9414283/ https://www.ncbi.nlm.nih.gov/pubmed/34183353 http://dx.doi.org/10.1158/2159-8290.CD-20-1647 |
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