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Integrative genomic and transcriptomic analyses illuminate the ontology of HER2-low breast carcinomas
BACKGROUND: The “HER2-low” nomenclature identifies breast carcinomas (BCs) displaying a HER2 score of 1+/2+ in immunohistochemistry and lacking ERBB2 amplification. Whether HER2-low BCs (HLBCs) constitute a distinct entity is debated. METHODS: We performed DNA and RNA high-throughput analysis on 99...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9426037/ https://www.ncbi.nlm.nih.gov/pubmed/36038884 http://dx.doi.org/10.1186/s13073-022-01104-z |
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author | Berrino, Enrico Annaratone, Laura Bellomo, Sara Erika Ferrero, Giulio Gagliardi, Amedeo Bragoni, Alberto Grassini, Dora Guarrera, Simonetta Parlato, Caterina Casorzo, Laura Panero, Mara Sarotto, Ivana Giordano, Silvia Cereda, Matteo Montemurro, Filippo Ponzone, Riccardo Crosetto, Nicola Naccarati, Alessio Sapino, Anna Marchiò, Caterina |
author_facet | Berrino, Enrico Annaratone, Laura Bellomo, Sara Erika Ferrero, Giulio Gagliardi, Amedeo Bragoni, Alberto Grassini, Dora Guarrera, Simonetta Parlato, Caterina Casorzo, Laura Panero, Mara Sarotto, Ivana Giordano, Silvia Cereda, Matteo Montemurro, Filippo Ponzone, Riccardo Crosetto, Nicola Naccarati, Alessio Sapino, Anna Marchiò, Caterina |
author_sort | Berrino, Enrico |
collection | PubMed |
description | BACKGROUND: The “HER2-low” nomenclature identifies breast carcinomas (BCs) displaying a HER2 score of 1+/2+ in immunohistochemistry and lacking ERBB2 amplification. Whether HER2-low BCs (HLBCs) constitute a distinct entity is debated. METHODS: We performed DNA and RNA high-throughput analysis on 99 HLBC samples (n = 34 cases with HER2 score 1+/HLBC-1, n = 15 cases with HER2 score 2+ and ERBB2 not amplified/HLBC-2N, and n = 50 cases with score 2+ and ERBB2 copy number in the equivocal range/HLBC-2E). We compared the mutation rates with data from 1317 samples in the Memorial Sloan-Kettering Cancer Center (MSKCC) BC cohort and gene expression data with those from an internal cohort of HER2-negative and HER2-positive BCs. RESULTS: The most represented mutations affected PIK3CA (31/99, 31%), GATA3 (18/99, 18%), TP53 (17/99, 17%), and ERBB2 (8/99, 8%, private to HLBC-2E). Tumor mutational burden was significantly higher in HLBC-1 compared to HLBC-2E/N (P = 0.04). Comparison of mutation spectra revealed that HLBCs were different from both HER2-negative and HER2-positive BCs, with HLBC-1 resembling more HER2-negative tumors and HLBC-2 mutationally related to HER2-addicted tumors. Potentially actionable alterations (annotated by using OncoKB/ESCAT classes) affected 52 patients. Intra-group gene expression revealed overlapping features between HLBC-1 and control HER2-negative BCs, whereas the HLBC-2E tumors showed the highest diversity overall. The RNA-based class discovery analysis unveiled four subsets of tumors with (i) lymphocyte activation, (ii) unique enrichment in HER2-related features, (iii) stromal remodeling alterations, and (iv) actionability of PIK3CA mutations (LAURA classification). CONCLUSIONS: HLBCs harbor distinct genomic features when compared with HER2-positive and HER2-negative BCs; however, differences across IHC classes were also unveiled thus dissecting the full picture of heterogeneity across HER2-low disease. The HLBC-2E category harbors most distinctive features, whereas HLBC-1 seems superimposable to HER2-negative disease. Further studies are needed to ascertain whether the four genomic-driver classes of the LAURA classification hold prognostic and/or predictive implications. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13073-022-01104-z. |
format | Online Article Text |
id | pubmed-9426037 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-94260372022-08-31 Integrative genomic and transcriptomic analyses illuminate the ontology of HER2-low breast carcinomas Berrino, Enrico Annaratone, Laura Bellomo, Sara Erika Ferrero, Giulio Gagliardi, Amedeo Bragoni, Alberto Grassini, Dora Guarrera, Simonetta Parlato, Caterina Casorzo, Laura Panero, Mara Sarotto, Ivana Giordano, Silvia Cereda, Matteo Montemurro, Filippo Ponzone, Riccardo Crosetto, Nicola Naccarati, Alessio Sapino, Anna Marchiò, Caterina Genome Med Research BACKGROUND: The “HER2-low” nomenclature identifies breast carcinomas (BCs) displaying a HER2 score of 1+/2+ in immunohistochemistry and lacking ERBB2 amplification. Whether HER2-low BCs (HLBCs) constitute a distinct entity is debated. METHODS: We performed DNA and RNA high-throughput analysis on 99 HLBC samples (n = 34 cases with HER2 score 1+/HLBC-1, n = 15 cases with HER2 score 2+ and ERBB2 not amplified/HLBC-2N, and n = 50 cases with score 2+ and ERBB2 copy number in the equivocal range/HLBC-2E). We compared the mutation rates with data from 1317 samples in the Memorial Sloan-Kettering Cancer Center (MSKCC) BC cohort and gene expression data with those from an internal cohort of HER2-negative and HER2-positive BCs. RESULTS: The most represented mutations affected PIK3CA (31/99, 31%), GATA3 (18/99, 18%), TP53 (17/99, 17%), and ERBB2 (8/99, 8%, private to HLBC-2E). Tumor mutational burden was significantly higher in HLBC-1 compared to HLBC-2E/N (P = 0.04). Comparison of mutation spectra revealed that HLBCs were different from both HER2-negative and HER2-positive BCs, with HLBC-1 resembling more HER2-negative tumors and HLBC-2 mutationally related to HER2-addicted tumors. Potentially actionable alterations (annotated by using OncoKB/ESCAT classes) affected 52 patients. Intra-group gene expression revealed overlapping features between HLBC-1 and control HER2-negative BCs, whereas the HLBC-2E tumors showed the highest diversity overall. The RNA-based class discovery analysis unveiled four subsets of tumors with (i) lymphocyte activation, (ii) unique enrichment in HER2-related features, (iii) stromal remodeling alterations, and (iv) actionability of PIK3CA mutations (LAURA classification). CONCLUSIONS: HLBCs harbor distinct genomic features when compared with HER2-positive and HER2-negative BCs; however, differences across IHC classes were also unveiled thus dissecting the full picture of heterogeneity across HER2-low disease. The HLBC-2E category harbors most distinctive features, whereas HLBC-1 seems superimposable to HER2-negative disease. Further studies are needed to ascertain whether the four genomic-driver classes of the LAURA classification hold prognostic and/or predictive implications. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13073-022-01104-z. BioMed Central 2022-08-29 /pmc/articles/PMC9426037/ /pubmed/36038884 http://dx.doi.org/10.1186/s13073-022-01104-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Berrino, Enrico Annaratone, Laura Bellomo, Sara Erika Ferrero, Giulio Gagliardi, Amedeo Bragoni, Alberto Grassini, Dora Guarrera, Simonetta Parlato, Caterina Casorzo, Laura Panero, Mara Sarotto, Ivana Giordano, Silvia Cereda, Matteo Montemurro, Filippo Ponzone, Riccardo Crosetto, Nicola Naccarati, Alessio Sapino, Anna Marchiò, Caterina Integrative genomic and transcriptomic analyses illuminate the ontology of HER2-low breast carcinomas |
title | Integrative genomic and transcriptomic analyses illuminate the ontology of HER2-low breast carcinomas |
title_full | Integrative genomic and transcriptomic analyses illuminate the ontology of HER2-low breast carcinomas |
title_fullStr | Integrative genomic and transcriptomic analyses illuminate the ontology of HER2-low breast carcinomas |
title_full_unstemmed | Integrative genomic and transcriptomic analyses illuminate the ontology of HER2-low breast carcinomas |
title_short | Integrative genomic and transcriptomic analyses illuminate the ontology of HER2-low breast carcinomas |
title_sort | integrative genomic and transcriptomic analyses illuminate the ontology of her2-low breast carcinomas |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9426037/ https://www.ncbi.nlm.nih.gov/pubmed/36038884 http://dx.doi.org/10.1186/s13073-022-01104-z |
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