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Interrogating breast cancer heterogeneity using single and pooled circulating tumor cell analysis
Single cell technologies allow the interrogation of tumor heterogeneity, providing insights into tumor evolution and treatment resistance. To better understand whether circulating tumor cells (CTCs) could complement metastatic biopsies for tumor genomic profiling, we characterized 11 single CTCs and...
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/PMC9256697/ https://www.ncbi.nlm.nih.gov/pubmed/35790747 http://dx.doi.org/10.1038/s41523-022-00445-7 |
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author | Rothé, Françoise Venet, David Peeters, Dieter Rouas, Ghizlane Rediti, Mattia Smeets, Dominiek Dupont, Floriane Campbell, Peter Lambrechts, Diether Dirix, Luc Sotiriou, Christos Ignatiadis, Michail |
author_facet | Rothé, Françoise Venet, David Peeters, Dieter Rouas, Ghizlane Rediti, Mattia Smeets, Dominiek Dupont, Floriane Campbell, Peter Lambrechts, Diether Dirix, Luc Sotiriou, Christos Ignatiadis, Michail |
author_sort | Rothé, Françoise |
collection | PubMed |
description | Single cell technologies allow the interrogation of tumor heterogeneity, providing insights into tumor evolution and treatment resistance. To better understand whether circulating tumor cells (CTCs) could complement metastatic biopsies for tumor genomic profiling, we characterized 11 single CTCs and 10 pooled CTC samples at the mutational and copy number aberration (CNA) levels, and compared these results with matched synchronous tumor biopsies from 3 metastatic breast cancer patients with triple-negative (TNBC), HER2-positive and estrogen receptor-positive (ER+) tumors. Similar CNA profiles and the same patient-specific driver mutations were found in bulk tissue and CTCs for the HER2-positive and TNBC tumors, whereas different CNA profiles and driver mutations were identified for the ER+ tumor, which presented two distinct clones in CTCs defined by mutations in ESR1 Y537N and TP53, respectively. Furthermore, de novo mutational signatures derived from CTCs described patient-specific biological processes. These data suggest that tumor tissue and CTCs provide complementary clinically relevant information to map tumor heterogeneity and tumor evolution. |
format | Online Article Text |
id | pubmed-9256697 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-92566972022-07-07 Interrogating breast cancer heterogeneity using single and pooled circulating tumor cell analysis Rothé, Françoise Venet, David Peeters, Dieter Rouas, Ghizlane Rediti, Mattia Smeets, Dominiek Dupont, Floriane Campbell, Peter Lambrechts, Diether Dirix, Luc Sotiriou, Christos Ignatiadis, Michail NPJ Breast Cancer Article Single cell technologies allow the interrogation of tumor heterogeneity, providing insights into tumor evolution and treatment resistance. To better understand whether circulating tumor cells (CTCs) could complement metastatic biopsies for tumor genomic profiling, we characterized 11 single CTCs and 10 pooled CTC samples at the mutational and copy number aberration (CNA) levels, and compared these results with matched synchronous tumor biopsies from 3 metastatic breast cancer patients with triple-negative (TNBC), HER2-positive and estrogen receptor-positive (ER+) tumors. Similar CNA profiles and the same patient-specific driver mutations were found in bulk tissue and CTCs for the HER2-positive and TNBC tumors, whereas different CNA profiles and driver mutations were identified for the ER+ tumor, which presented two distinct clones in CTCs defined by mutations in ESR1 Y537N and TP53, respectively. Furthermore, de novo mutational signatures derived from CTCs described patient-specific biological processes. These data suggest that tumor tissue and CTCs provide complementary clinically relevant information to map tumor heterogeneity and tumor evolution. Nature Publishing Group UK 2022-07-05 /pmc/articles/PMC9256697/ /pubmed/35790747 http://dx.doi.org/10.1038/s41523-022-00445-7 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 Rothé, Françoise Venet, David Peeters, Dieter Rouas, Ghizlane Rediti, Mattia Smeets, Dominiek Dupont, Floriane Campbell, Peter Lambrechts, Diether Dirix, Luc Sotiriou, Christos Ignatiadis, Michail Interrogating breast cancer heterogeneity using single and pooled circulating tumor cell analysis |
title | Interrogating breast cancer heterogeneity using single and pooled circulating tumor cell analysis |
title_full | Interrogating breast cancer heterogeneity using single and pooled circulating tumor cell analysis |
title_fullStr | Interrogating breast cancer heterogeneity using single and pooled circulating tumor cell analysis |
title_full_unstemmed | Interrogating breast cancer heterogeneity using single and pooled circulating tumor cell analysis |
title_short | Interrogating breast cancer heterogeneity using single and pooled circulating tumor cell analysis |
title_sort | interrogating breast cancer heterogeneity using single and pooled circulating tumor cell analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9256697/ https://www.ncbi.nlm.nih.gov/pubmed/35790747 http://dx.doi.org/10.1038/s41523-022-00445-7 |
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