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Multiplex imaging of breast cancer lymph node metastases identifies prognostic single-cell populations independent of clinical classifiers
Although breast cancer mortality is largely caused by metastasis, clinical decisions are based on analysis of the primary tumor and on lymph node involvement but not on the phenotype of disseminated cells. Here, we use multiplex imaging mass cytometry to compare single-cell phenotypes of primary bre...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10040454/ https://www.ncbi.nlm.nih.gov/pubmed/36921599 http://dx.doi.org/10.1016/j.xcrm.2023.100977 |
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author | Fischer, Jana Raja Jackson, Hartland Warren de Souza, Natalie Varga, Zsuzsanna Schraml, Peter Moch, Holger Bodenmiller, Bernd |
author_facet | Fischer, Jana Raja Jackson, Hartland Warren de Souza, Natalie Varga, Zsuzsanna Schraml, Peter Moch, Holger Bodenmiller, Bernd |
author_sort | Fischer, Jana Raja |
collection | PubMed |
description | Although breast cancer mortality is largely caused by metastasis, clinical decisions are based on analysis of the primary tumor and on lymph node involvement but not on the phenotype of disseminated cells. Here, we use multiplex imaging mass cytometry to compare single-cell phenotypes of primary breast tumors and matched lymph node metastases in 205 patients. We observe extensive phenotypic variability between primary and metastatic sites and that disseminated cell phenotypes frequently deviate from the clinical disease subtype. We identify single-cell phenotypes and spatial organizations of disseminated tumor cells that are associated with patient survival and a weaker survival association for high-risk phenotypes in the primary tumor. We show that p53 and GATA3 in lymph node metastases provide prognostic information beyond clinical classifiers and can be measured with standard methods. Molecular characterization of disseminated tumor cells is an untapped source of clinically applicable prognostic information for breast cancer. |
format | Online Article Text |
id | pubmed-10040454 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-100404542023-03-28 Multiplex imaging of breast cancer lymph node metastases identifies prognostic single-cell populations independent of clinical classifiers Fischer, Jana Raja Jackson, Hartland Warren de Souza, Natalie Varga, Zsuzsanna Schraml, Peter Moch, Holger Bodenmiller, Bernd Cell Rep Med Article Although breast cancer mortality is largely caused by metastasis, clinical decisions are based on analysis of the primary tumor and on lymph node involvement but not on the phenotype of disseminated cells. Here, we use multiplex imaging mass cytometry to compare single-cell phenotypes of primary breast tumors and matched lymph node metastases in 205 patients. We observe extensive phenotypic variability between primary and metastatic sites and that disseminated cell phenotypes frequently deviate from the clinical disease subtype. We identify single-cell phenotypes and spatial organizations of disseminated tumor cells that are associated with patient survival and a weaker survival association for high-risk phenotypes in the primary tumor. We show that p53 and GATA3 in lymph node metastases provide prognostic information beyond clinical classifiers and can be measured with standard methods. Molecular characterization of disseminated tumor cells is an untapped source of clinically applicable prognostic information for breast cancer. Elsevier 2023-03-14 /pmc/articles/PMC10040454/ /pubmed/36921599 http://dx.doi.org/10.1016/j.xcrm.2023.100977 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Fischer, Jana Raja Jackson, Hartland Warren de Souza, Natalie Varga, Zsuzsanna Schraml, Peter Moch, Holger Bodenmiller, Bernd Multiplex imaging of breast cancer lymph node metastases identifies prognostic single-cell populations independent of clinical classifiers |
title | Multiplex imaging of breast cancer lymph node metastases identifies prognostic single-cell populations independent of clinical classifiers |
title_full | Multiplex imaging of breast cancer lymph node metastases identifies prognostic single-cell populations independent of clinical classifiers |
title_fullStr | Multiplex imaging of breast cancer lymph node metastases identifies prognostic single-cell populations independent of clinical classifiers |
title_full_unstemmed | Multiplex imaging of breast cancer lymph node metastases identifies prognostic single-cell populations independent of clinical classifiers |
title_short | Multiplex imaging of breast cancer lymph node metastases identifies prognostic single-cell populations independent of clinical classifiers |
title_sort | multiplex imaging of breast cancer lymph node metastases identifies prognostic single-cell populations independent of clinical classifiers |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10040454/ https://www.ncbi.nlm.nih.gov/pubmed/36921599 http://dx.doi.org/10.1016/j.xcrm.2023.100977 |
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