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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...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2018
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.
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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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