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Immunophenotypic predictive profiling of BRCA1-associated breast cancer
The immunophenotypic predictive profile of BRCA1-associated cancers including major predictive markers, i.e., PARP-1, EGFR, c-kit, HER-2, and steroid hormones (ER/PR) that may have therapeutic relevance has not yet been reported in a comprehensive study. Using immunohistochemistry, we examined the e...
Autores principales: | , , , , |
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Formato: | Texto |
Lenguaje: | English |
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Springer-Verlag
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3016196/ https://www.ncbi.nlm.nih.gov/pubmed/20941507 http://dx.doi.org/10.1007/s00428-010-0988-3 |
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author | Domagala, Pawel Huzarski, Tomasz Lubinski, Jan Gugala, Karol Domagala, Wenancjusz |
author_facet | Domagala, Pawel Huzarski, Tomasz Lubinski, Jan Gugala, Karol Domagala, Wenancjusz |
author_sort | Domagala, Pawel |
collection | PubMed |
description | The immunophenotypic predictive profile of BRCA1-associated cancers including major predictive markers, i.e., PARP-1, EGFR, c-kit, HER-2, and steroid hormones (ER/PR) that may have therapeutic relevance has not yet been reported in a comprehensive study. Using immunohistochemistry, we examined the expression of these proteins in a large cohort of BRCA1-associated breast cancers. PARP-1 immunoreactivity was found in 81.9%, EGFR in 43.6%, ER/PR in 17.9%, c-kit in 14.7%, and overexpression of HER-2 in 3.6% of cancers. For all markers studied, 8.2% of tumors were negative. Expression of only one predictive marker was found in 29.7% of cancers, and most frequently, it was PARP-1 (20.8%). In 62.1% of tumors, more than one predictive marker was expressed: PARP-1 and EGFR in 30.4%, PARP-1, and hormone receptors in 13.3% and PARP-1 with c-kit in 7.5% of all tumors. Coexpression of two or more other predictive markers was rare. There were significant differences in the median age at diagnosis of BRCA1-associated cancer between patients with ER+ vs. ER− and grades 1–2 vs. grade 3 tumors. These results demonstrate that BRCA1-associated cancers differ with respect to expression of proteins that are regarded as targets for specific therapies and that 92% of patients with BRCA1-associated cancers may benefit from one or several options for specific therapy (in addition to DNA damaging agents, e.g., cisplatin). About 8% of cancers which do not express therapeutic target proteins may not respond to such therapies. Knowledge of the immunophenotypic predictive profile may help with the recruitment of patients for trials of targeted therapies. |
format | Text |
id | pubmed-3016196 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Springer-Verlag |
record_format | MEDLINE/PubMed |
spelling | pubmed-30161962011-02-04 Immunophenotypic predictive profiling of BRCA1-associated breast cancer Domagala, Pawel Huzarski, Tomasz Lubinski, Jan Gugala, Karol Domagala, Wenancjusz Virchows Arch Original Article The immunophenotypic predictive profile of BRCA1-associated cancers including major predictive markers, i.e., PARP-1, EGFR, c-kit, HER-2, and steroid hormones (ER/PR) that may have therapeutic relevance has not yet been reported in a comprehensive study. Using immunohistochemistry, we examined the expression of these proteins in a large cohort of BRCA1-associated breast cancers. PARP-1 immunoreactivity was found in 81.9%, EGFR in 43.6%, ER/PR in 17.9%, c-kit in 14.7%, and overexpression of HER-2 in 3.6% of cancers. For all markers studied, 8.2% of tumors were negative. Expression of only one predictive marker was found in 29.7% of cancers, and most frequently, it was PARP-1 (20.8%). In 62.1% of tumors, more than one predictive marker was expressed: PARP-1 and EGFR in 30.4%, PARP-1, and hormone receptors in 13.3% and PARP-1 with c-kit in 7.5% of all tumors. Coexpression of two or more other predictive markers was rare. There were significant differences in the median age at diagnosis of BRCA1-associated cancer between patients with ER+ vs. ER− and grades 1–2 vs. grade 3 tumors. These results demonstrate that BRCA1-associated cancers differ with respect to expression of proteins that are regarded as targets for specific therapies and that 92% of patients with BRCA1-associated cancers may benefit from one or several options for specific therapy (in addition to DNA damaging agents, e.g., cisplatin). About 8% of cancers which do not express therapeutic target proteins may not respond to such therapies. Knowledge of the immunophenotypic predictive profile may help with the recruitment of patients for trials of targeted therapies. Springer-Verlag 2010-10-13 2011 /pmc/articles/PMC3016196/ /pubmed/20941507 http://dx.doi.org/10.1007/s00428-010-0988-3 Text en © The Author(s) 2010 https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited. |
spellingShingle | Original Article Domagala, Pawel Huzarski, Tomasz Lubinski, Jan Gugala, Karol Domagala, Wenancjusz Immunophenotypic predictive profiling of BRCA1-associated breast cancer |
title | Immunophenotypic predictive profiling of BRCA1-associated breast cancer |
title_full | Immunophenotypic predictive profiling of BRCA1-associated breast cancer |
title_fullStr | Immunophenotypic predictive profiling of BRCA1-associated breast cancer |
title_full_unstemmed | Immunophenotypic predictive profiling of BRCA1-associated breast cancer |
title_short | Immunophenotypic predictive profiling of BRCA1-associated breast cancer |
title_sort | immunophenotypic predictive profiling of brca1-associated breast cancer |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3016196/ https://www.ncbi.nlm.nih.gov/pubmed/20941507 http://dx.doi.org/10.1007/s00428-010-0988-3 |
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