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Identification of three subtypes of triple-negative breast cancer with potential therapeutic implications
BACKGROUND: Heterogeneity and lack of targeted therapies represent the two main impediments to precision treatment of triple-negative breast cancer (TNBC), and therefore, molecular subtyping and identification of therapeutic pathways are required to optimize medical care. The aim of the present stud...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6525459/ https://www.ncbi.nlm.nih.gov/pubmed/31101122 http://dx.doi.org/10.1186/s13058-019-1148-6 |
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author | Jézéquel, Pascal Kerdraon, Olivier Hondermarck, Hubert Guérin-Charbonnel, Catherine Lasla, Hamza Gouraud, Wilfried Canon, Jean-Luc Gombos, Andrea Dalenc, Florence Delaloge, Suzette Lemonnier, Jérôme Loussouarn, Delphine Verrièle, Véronique Campone, Mario |
author_facet | Jézéquel, Pascal Kerdraon, Olivier Hondermarck, Hubert Guérin-Charbonnel, Catherine Lasla, Hamza Gouraud, Wilfried Canon, Jean-Luc Gombos, Andrea Dalenc, Florence Delaloge, Suzette Lemonnier, Jérôme Loussouarn, Delphine Verrièle, Véronique Campone, Mario |
author_sort | Jézéquel, Pascal |
collection | PubMed |
description | BACKGROUND: Heterogeneity and lack of targeted therapies represent the two main impediments to precision treatment of triple-negative breast cancer (TNBC), and therefore, molecular subtyping and identification of therapeutic pathways are required to optimize medical care. The aim of the present study was to define robust TNBC subtypes with clinical relevance. METHODS: Gene expression profiling by means of DNA chips was conducted in an internal TNBC cohort composed of 238 patients. In addition, external data (n = 257), obtained by using the same DNA chip, were used for validation. Fuzzy clustering was followed by functional annotation of the clusters. Immunohistochemistry was used to confirm transcriptomics results: CD138 and CD20 were used to test for plasma cell and B lymphocyte infiltrations, respectively; MECA79 and CD31 for tertiary lymphoid structures; and UCHL1/PGP9.5 and S100 for neurogenesis. RESULTS: We identified three molecular clusters within TNBC: one molecular apocrine (C1) and two basal-like-enriched (C2 and C3). C2 presented pro-tumorigenic immune response (immune suppressive), high neurogenesis (nerve infiltration), and high biological aggressiveness. In contrast, C3 exhibited adaptive immune response associated with complete B cell differentiation that occurs in tertiary lymphoid structures, and immune checkpoint upregulation. External cohort subtyping by means of the same approach proved the robustness of these results. Furthermore, plasma cell and B lymphocyte infiltrates, tertiary lymphoid structures, and neurogenesis were validated at the protein levels by means of histological evaluation and immunohistochemistry. CONCLUSION: Our work showed that TNBC can be subcategorized in three different subtypes characterized by marked biological features, some of which could be targeted by specific therapies. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13058-019-1148-6) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6525459 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-65254592019-05-24 Identification of three subtypes of triple-negative breast cancer with potential therapeutic implications Jézéquel, Pascal Kerdraon, Olivier Hondermarck, Hubert Guérin-Charbonnel, Catherine Lasla, Hamza Gouraud, Wilfried Canon, Jean-Luc Gombos, Andrea Dalenc, Florence Delaloge, Suzette Lemonnier, Jérôme Loussouarn, Delphine Verrièle, Véronique Campone, Mario Breast Cancer Res Research Article BACKGROUND: Heterogeneity and lack of targeted therapies represent the two main impediments to precision treatment of triple-negative breast cancer (TNBC), and therefore, molecular subtyping and identification of therapeutic pathways are required to optimize medical care. The aim of the present study was to define robust TNBC subtypes with clinical relevance. METHODS: Gene expression profiling by means of DNA chips was conducted in an internal TNBC cohort composed of 238 patients. In addition, external data (n = 257), obtained by using the same DNA chip, were used for validation. Fuzzy clustering was followed by functional annotation of the clusters. Immunohistochemistry was used to confirm transcriptomics results: CD138 and CD20 were used to test for plasma cell and B lymphocyte infiltrations, respectively; MECA79 and CD31 for tertiary lymphoid structures; and UCHL1/PGP9.5 and S100 for neurogenesis. RESULTS: We identified three molecular clusters within TNBC: one molecular apocrine (C1) and two basal-like-enriched (C2 and C3). C2 presented pro-tumorigenic immune response (immune suppressive), high neurogenesis (nerve infiltration), and high biological aggressiveness. In contrast, C3 exhibited adaptive immune response associated with complete B cell differentiation that occurs in tertiary lymphoid structures, and immune checkpoint upregulation. External cohort subtyping by means of the same approach proved the robustness of these results. Furthermore, plasma cell and B lymphocyte infiltrates, tertiary lymphoid structures, and neurogenesis were validated at the protein levels by means of histological evaluation and immunohistochemistry. CONCLUSION: Our work showed that TNBC can be subcategorized in three different subtypes characterized by marked biological features, some of which could be targeted by specific therapies. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13058-019-1148-6) contains supplementary material, which is available to authorized users. BioMed Central 2019-05-17 2019 /pmc/articles/PMC6525459/ /pubmed/31101122 http://dx.doi.org/10.1186/s13058-019-1148-6 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 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. |
spellingShingle | Research Article Jézéquel, Pascal Kerdraon, Olivier Hondermarck, Hubert Guérin-Charbonnel, Catherine Lasla, Hamza Gouraud, Wilfried Canon, Jean-Luc Gombos, Andrea Dalenc, Florence Delaloge, Suzette Lemonnier, Jérôme Loussouarn, Delphine Verrièle, Véronique Campone, Mario Identification of three subtypes of triple-negative breast cancer with potential therapeutic implications |
title | Identification of three subtypes of triple-negative breast cancer with potential therapeutic implications |
title_full | Identification of three subtypes of triple-negative breast cancer with potential therapeutic implications |
title_fullStr | Identification of three subtypes of triple-negative breast cancer with potential therapeutic implications |
title_full_unstemmed | Identification of three subtypes of triple-negative breast cancer with potential therapeutic implications |
title_short | Identification of three subtypes of triple-negative breast cancer with potential therapeutic implications |
title_sort | identification of three subtypes of triple-negative breast cancer with potential therapeutic implications |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6525459/ https://www.ncbi.nlm.nih.gov/pubmed/31101122 http://dx.doi.org/10.1186/s13058-019-1148-6 |
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