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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...

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Autores principales: Fischer, Jana Raja, Jackson, Hartland Warren, de Souza, Natalie, Varga, Zsuzsanna, Schraml, Peter, Moch, Holger, Bodenmiller, Bernd
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
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.
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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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