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Genome engineering for estrogen receptor mutations reveals differential responses to anti-estrogens and new prognostic gene signatures for breast cancer
Mutations in the estrogen receptor (ESR1) gene are common in ER-positive breast cancer patients who progress on endocrine therapies. Most mutations localise to just three residues at, or near, the C-terminal helix 12 of the hormone binding domain, at leucine-536, tyrosine-537 and aspartate-538. To i...
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/PMC7613769/ https://www.ncbi.nlm.nih.gov/pubmed/36198774 http://dx.doi.org/10.1038/s41388-022-02483-8 |
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author | Harrod, Alison Lai, Chun-Fui Goldsbrough, Isabella Simmons, Georgia M. Oppermans, Natasha Santos, Daniela B. Győrffy, Balazs Allsopp, Rebecca C. Toghill, Bradley J. Balachandran, Kirsty Lawson, Mandy Morrow, Christopher J. Surakala, Manasa Carnevalli, Larissa S. Zhang, Pei Guttery, David S. Shaw, Jacqueline A. Coombes, R. Charles Buluwela, Lakjaya Ali, Simak |
author_facet | Harrod, Alison Lai, Chun-Fui Goldsbrough, Isabella Simmons, Georgia M. Oppermans, Natasha Santos, Daniela B. Győrffy, Balazs Allsopp, Rebecca C. Toghill, Bradley J. Balachandran, Kirsty Lawson, Mandy Morrow, Christopher J. Surakala, Manasa Carnevalli, Larissa S. Zhang, Pei Guttery, David S. Shaw, Jacqueline A. Coombes, R. Charles Buluwela, Lakjaya Ali, Simak |
author_sort | Harrod, Alison |
collection | PubMed |
description | Mutations in the estrogen receptor (ESR1) gene are common in ER-positive breast cancer patients who progress on endocrine therapies. Most mutations localise to just three residues at, or near, the C-terminal helix 12 of the hormone binding domain, at leucine-536, tyrosine-537 and aspartate-538. To investigate these mutations, we have used CRISPR-Cas9 mediated genome engineering to generate a comprehensive set of isogenic mutant breast cancer cell lines. Our results confirm that L536R, Y537C, Y537N, Y537S and D538G mutations confer estrogen-independent growth in breast cancer cells. Growth assays show mutation-specific reductions in sensitivities to drugs representing three classes of clinical anti-estrogens. These differential mutation- and drug-selectivity profiles have implications for treatment choices following clinical emergence of ER mutations. Our results further suggest that mutant expression levels may be determinants of the degree of resistance to some anti-estrogens. Differential gene expression analysis demonstrates up-regulation of estrogen-responsive genes, as expected, but also reveals that enrichment for interferon-regulated gene expression is a common feature of all mutations. Finally, a new gene signature developed from the gene expression profiles in ER mutant cells predicts clinical response in breast cancer patients with ER mutations. |
format | Online Article Text |
id | pubmed-7613769 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-76137692022-10-28 Genome engineering for estrogen receptor mutations reveals differential responses to anti-estrogens and new prognostic gene signatures for breast cancer Harrod, Alison Lai, Chun-Fui Goldsbrough, Isabella Simmons, Georgia M. Oppermans, Natasha Santos, Daniela B. Győrffy, Balazs Allsopp, Rebecca C. Toghill, Bradley J. Balachandran, Kirsty Lawson, Mandy Morrow, Christopher J. Surakala, Manasa Carnevalli, Larissa S. Zhang, Pei Guttery, David S. Shaw, Jacqueline A. Coombes, R. Charles Buluwela, Lakjaya Ali, Simak Oncogene Article Mutations in the estrogen receptor (ESR1) gene are common in ER-positive breast cancer patients who progress on endocrine therapies. Most mutations localise to just three residues at, or near, the C-terminal helix 12 of the hormone binding domain, at leucine-536, tyrosine-537 and aspartate-538. To investigate these mutations, we have used CRISPR-Cas9 mediated genome engineering to generate a comprehensive set of isogenic mutant breast cancer cell lines. Our results confirm that L536R, Y537C, Y537N, Y537S and D538G mutations confer estrogen-independent growth in breast cancer cells. Growth assays show mutation-specific reductions in sensitivities to drugs representing three classes of clinical anti-estrogens. These differential mutation- and drug-selectivity profiles have implications for treatment choices following clinical emergence of ER mutations. Our results further suggest that mutant expression levels may be determinants of the degree of resistance to some anti-estrogens. Differential gene expression analysis demonstrates up-regulation of estrogen-responsive genes, as expected, but also reveals that enrichment for interferon-regulated gene expression is a common feature of all mutations. Finally, a new gene signature developed from the gene expression profiles in ER mutant cells predicts clinical response in breast cancer patients with ER mutations. Nature Publishing Group UK 2022-10-05 2022 /pmc/articles/PMC7613769/ /pubmed/36198774 http://dx.doi.org/10.1038/s41388-022-02483-8 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 Harrod, Alison Lai, Chun-Fui Goldsbrough, Isabella Simmons, Georgia M. Oppermans, Natasha Santos, Daniela B. Győrffy, Balazs Allsopp, Rebecca C. Toghill, Bradley J. Balachandran, Kirsty Lawson, Mandy Morrow, Christopher J. Surakala, Manasa Carnevalli, Larissa S. Zhang, Pei Guttery, David S. Shaw, Jacqueline A. Coombes, R. Charles Buluwela, Lakjaya Ali, Simak Genome engineering for estrogen receptor mutations reveals differential responses to anti-estrogens and new prognostic gene signatures for breast cancer |
title | Genome engineering for estrogen receptor mutations reveals differential responses to anti-estrogens and new prognostic gene signatures for breast cancer |
title_full | Genome engineering for estrogen receptor mutations reveals differential responses to anti-estrogens and new prognostic gene signatures for breast cancer |
title_fullStr | Genome engineering for estrogen receptor mutations reveals differential responses to anti-estrogens and new prognostic gene signatures for breast cancer |
title_full_unstemmed | Genome engineering for estrogen receptor mutations reveals differential responses to anti-estrogens and new prognostic gene signatures for breast cancer |
title_short | Genome engineering for estrogen receptor mutations reveals differential responses to anti-estrogens and new prognostic gene signatures for breast cancer |
title_sort | genome engineering for estrogen receptor mutations reveals differential responses to anti-estrogens and new prognostic gene signatures for breast cancer |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7613769/ https://www.ncbi.nlm.nih.gov/pubmed/36198774 http://dx.doi.org/10.1038/s41388-022-02483-8 |
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