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Tissue and liquid biopsy profiling reveal convergent tumor evolution and therapy evasion in breast cancer
Pathological and genomic profiling have transformed breast cancer care by matching patients to targeted treatments. However, tumors evolve and evade therapeutic interventions often through the acquisition of genomic mutations. Here we examine patients profiled with tissue (TBx) and liquid biopsy (LB...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9723105/ https://www.ncbi.nlm.nih.gov/pubmed/36470901 http://dx.doi.org/10.1038/s41467-022-35245-x |
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author | Sivakumar, Smruthy Jin, Dexter X. Tukachinsky, Hanna Murugesan, Karthikeyan McGregor, Kimberly Danziger, Natalie Pavlick, Dean Gjoerup, Ole Ross, Jeffrey S. Harmon, Robert Chung, Jon Decker, Brennan Dennis, Lucas Frampton, Garrett M. Molinero, Luciana Oesterreich, Steffi Venstrom, Jeffrey M. Oxnard, Geoffrey R. Hegde, Priti S. Sokol, Ethan S. |
author_facet | Sivakumar, Smruthy Jin, Dexter X. Tukachinsky, Hanna Murugesan, Karthikeyan McGregor, Kimberly Danziger, Natalie Pavlick, Dean Gjoerup, Ole Ross, Jeffrey S. Harmon, Robert Chung, Jon Decker, Brennan Dennis, Lucas Frampton, Garrett M. Molinero, Luciana Oesterreich, Steffi Venstrom, Jeffrey M. Oxnard, Geoffrey R. Hegde, Priti S. Sokol, Ethan S. |
author_sort | Sivakumar, Smruthy |
collection | PubMed |
description | Pathological and genomic profiling have transformed breast cancer care by matching patients to targeted treatments. However, tumors evolve and evade therapeutic interventions often through the acquisition of genomic mutations. Here we examine patients profiled with tissue (TBx) and liquid biopsy (LBx) as part of routine clinical care, to characterize the tumor evolutionary landscape and identify potential vulnerabilities in the relapsed setting. Real-world evidence demonstrates that LBx is utilized later in care and identifies associations with intervening therapy. While driver events are frequently shared, acquired LBx alterations are detected in a majority of patients, with the highest frequency in ER+ disease and in patients with longer biopsy intervals. Acquired mutations are often polyclonal and present at lower allelic fractions, suggesting multi-clonal convergent evolution. In addition to well-characterized resistance mutations (e.g., ESR1, NF1, RB1, ERBB2), we observe a diversity of rarer but potentially targetable mutations (e.g., PIK3CA, HRAS/NRAS/KRAS, FGFR1/2/3, BRAF) and fusions (e.g., FGFR1/2, ERBB2, RET), as well as BRCA1/2 reversions through a variety of mechanisms, including splice alterations and structural deletions. This study provides insights on treatment and selection-driven tumor evolution and identifies potential combinatorial treatment options in advanced breast cancer. |
format | Online Article Text |
id | pubmed-9723105 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-97231052022-12-07 Tissue and liquid biopsy profiling reveal convergent tumor evolution and therapy evasion in breast cancer Sivakumar, Smruthy Jin, Dexter X. Tukachinsky, Hanna Murugesan, Karthikeyan McGregor, Kimberly Danziger, Natalie Pavlick, Dean Gjoerup, Ole Ross, Jeffrey S. Harmon, Robert Chung, Jon Decker, Brennan Dennis, Lucas Frampton, Garrett M. Molinero, Luciana Oesterreich, Steffi Venstrom, Jeffrey M. Oxnard, Geoffrey R. Hegde, Priti S. Sokol, Ethan S. Nat Commun Article Pathological and genomic profiling have transformed breast cancer care by matching patients to targeted treatments. However, tumors evolve and evade therapeutic interventions often through the acquisition of genomic mutations. Here we examine patients profiled with tissue (TBx) and liquid biopsy (LBx) as part of routine clinical care, to characterize the tumor evolutionary landscape and identify potential vulnerabilities in the relapsed setting. Real-world evidence demonstrates that LBx is utilized later in care and identifies associations with intervening therapy. While driver events are frequently shared, acquired LBx alterations are detected in a majority of patients, with the highest frequency in ER+ disease and in patients with longer biopsy intervals. Acquired mutations are often polyclonal and present at lower allelic fractions, suggesting multi-clonal convergent evolution. In addition to well-characterized resistance mutations (e.g., ESR1, NF1, RB1, ERBB2), we observe a diversity of rarer but potentially targetable mutations (e.g., PIK3CA, HRAS/NRAS/KRAS, FGFR1/2/3, BRAF) and fusions (e.g., FGFR1/2, ERBB2, RET), as well as BRCA1/2 reversions through a variety of mechanisms, including splice alterations and structural deletions. This study provides insights on treatment and selection-driven tumor evolution and identifies potential combinatorial treatment options in advanced breast cancer. Nature Publishing Group UK 2022-12-05 /pmc/articles/PMC9723105/ /pubmed/36470901 http://dx.doi.org/10.1038/s41467-022-35245-x 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 Sivakumar, Smruthy Jin, Dexter X. Tukachinsky, Hanna Murugesan, Karthikeyan McGregor, Kimberly Danziger, Natalie Pavlick, Dean Gjoerup, Ole Ross, Jeffrey S. Harmon, Robert Chung, Jon Decker, Brennan Dennis, Lucas Frampton, Garrett M. Molinero, Luciana Oesterreich, Steffi Venstrom, Jeffrey M. Oxnard, Geoffrey R. Hegde, Priti S. Sokol, Ethan S. Tissue and liquid biopsy profiling reveal convergent tumor evolution and therapy evasion in breast cancer |
title | Tissue and liquid biopsy profiling reveal convergent tumor evolution and therapy evasion in breast cancer |
title_full | Tissue and liquid biopsy profiling reveal convergent tumor evolution and therapy evasion in breast cancer |
title_fullStr | Tissue and liquid biopsy profiling reveal convergent tumor evolution and therapy evasion in breast cancer |
title_full_unstemmed | Tissue and liquid biopsy profiling reveal convergent tumor evolution and therapy evasion in breast cancer |
title_short | Tissue and liquid biopsy profiling reveal convergent tumor evolution and therapy evasion in breast cancer |
title_sort | tissue and liquid biopsy profiling reveal convergent tumor evolution and therapy evasion in breast cancer |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9723105/ https://www.ncbi.nlm.nih.gov/pubmed/36470901 http://dx.doi.org/10.1038/s41467-022-35245-x |
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