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Commonly Occurring Cell Subsets in High-Grade Serous Ovarian Tumors Identified by Single-Cell Mass Cytometry
We have performed an in-depth single-cell phenotypic characterization of high-grade serous ovarian cancer (HGSOC) by multiparametric mass cytometry (CyTOF). Using a CyTOF antibody panel to interrogate features of HGSOC biology, combined with unsupervised computational analysis, we identified notewor...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8556706/ https://www.ncbi.nlm.nih.gov/pubmed/29444438 http://dx.doi.org/10.1016/j.celrep.2018.01.053 |
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author | Gonzalez, Veronica D. Samusik, Nikolay Chen, Tiffany J. Savig, Erica S. Aghaeepour, Nima Quigley, David A. Huang, Ying-Wen Giangarrà, Valeria Borowsky, Alexander D. Hubbard, Neil E. Chen, Shih-Yu Han, Guojun Ashworth, Alan Kipps, Thomas J. Berek, Jonathan S. Nolan, Garry P. Fantl, Wendy J. |
author_facet | Gonzalez, Veronica D. Samusik, Nikolay Chen, Tiffany J. Savig, Erica S. Aghaeepour, Nima Quigley, David A. Huang, Ying-Wen Giangarrà, Valeria Borowsky, Alexander D. Hubbard, Neil E. Chen, Shih-Yu Han, Guojun Ashworth, Alan Kipps, Thomas J. Berek, Jonathan S. Nolan, Garry P. Fantl, Wendy J. |
author_sort | Gonzalez, Veronica D. |
collection | PubMed |
description | We have performed an in-depth single-cell phenotypic characterization of high-grade serous ovarian cancer (HGSOC) by multiparametric mass cytometry (CyTOF). Using a CyTOF antibody panel to interrogate features of HGSOC biology, combined with unsupervised computational analysis, we identified noteworthy cell types co-occurring across the tumors. In addition to a dominant cell subset, each tumor harbored rarer cell phenotypes. One such group co-expressed E-cadherin and vimentin (EV), suggesting their potential role in epithelial mesenchymal transition, which was substantiated by pairwise correlation analyses. Furthermore, tumors from patients with poorer outcome had an increased frequency of another rare cell type that co-expressed vimentin, HE4, and cMyc. These poorer-outcome tumors also populated more cell phenotypes, as quantified by Simpson’s diversity index. Thus, despite the recognized genomic complexity of the disease, the specific cell phenotypes uncovered here offer a focus for therapeutic intervention and disease monitoring. |
format | Online Article Text |
id | pubmed-8556706 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
record_format | MEDLINE/PubMed |
spelling | pubmed-85567062021-10-30 Commonly Occurring Cell Subsets in High-Grade Serous Ovarian Tumors Identified by Single-Cell Mass Cytometry Gonzalez, Veronica D. Samusik, Nikolay Chen, Tiffany J. Savig, Erica S. Aghaeepour, Nima Quigley, David A. Huang, Ying-Wen Giangarrà, Valeria Borowsky, Alexander D. Hubbard, Neil E. Chen, Shih-Yu Han, Guojun Ashworth, Alan Kipps, Thomas J. Berek, Jonathan S. Nolan, Garry P. Fantl, Wendy J. Cell Rep Article We have performed an in-depth single-cell phenotypic characterization of high-grade serous ovarian cancer (HGSOC) by multiparametric mass cytometry (CyTOF). Using a CyTOF antibody panel to interrogate features of HGSOC biology, combined with unsupervised computational analysis, we identified noteworthy cell types co-occurring across the tumors. In addition to a dominant cell subset, each tumor harbored rarer cell phenotypes. One such group co-expressed E-cadherin and vimentin (EV), suggesting their potential role in epithelial mesenchymal transition, which was substantiated by pairwise correlation analyses. Furthermore, tumors from patients with poorer outcome had an increased frequency of another rare cell type that co-expressed vimentin, HE4, and cMyc. These poorer-outcome tumors also populated more cell phenotypes, as quantified by Simpson’s diversity index. Thus, despite the recognized genomic complexity of the disease, the specific cell phenotypes uncovered here offer a focus for therapeutic intervention and disease monitoring. 2018-02-13 /pmc/articles/PMC8556706/ /pubmed/29444438 http://dx.doi.org/10.1016/j.celrep.2018.01.053 Text en 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/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) ). |
spellingShingle | Article Gonzalez, Veronica D. Samusik, Nikolay Chen, Tiffany J. Savig, Erica S. Aghaeepour, Nima Quigley, David A. Huang, Ying-Wen Giangarrà, Valeria Borowsky, Alexander D. Hubbard, Neil E. Chen, Shih-Yu Han, Guojun Ashworth, Alan Kipps, Thomas J. Berek, Jonathan S. Nolan, Garry P. Fantl, Wendy J. Commonly Occurring Cell Subsets in High-Grade Serous Ovarian Tumors Identified by Single-Cell Mass Cytometry |
title | Commonly Occurring Cell Subsets in High-Grade Serous Ovarian Tumors Identified by Single-Cell Mass Cytometry |
title_full | Commonly Occurring Cell Subsets in High-Grade Serous Ovarian Tumors Identified by Single-Cell Mass Cytometry |
title_fullStr | Commonly Occurring Cell Subsets in High-Grade Serous Ovarian Tumors Identified by Single-Cell Mass Cytometry |
title_full_unstemmed | Commonly Occurring Cell Subsets in High-Grade Serous Ovarian Tumors Identified by Single-Cell Mass Cytometry |
title_short | Commonly Occurring Cell Subsets in High-Grade Serous Ovarian Tumors Identified by Single-Cell Mass Cytometry |
title_sort | commonly occurring cell subsets in high-grade serous ovarian tumors identified by single-cell mass cytometry |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8556706/ https://www.ncbi.nlm.nih.gov/pubmed/29444438 http://dx.doi.org/10.1016/j.celrep.2018.01.053 |
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