Commonly Occurring Cell Subsets in High-Grade Serous Ovarian Tumors Identified by Single-Cell Mass Cytometry
Summary: 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 identifie...
| Main Authors: | , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2018-02-01
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| Series: | Cell Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2211124718301025 |
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Article |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Veronica D. Gonzalez Nikolay Samusik Tiffany J. Chen Erica S. Savig Nima Aghaeepour David A. Quigley Ying-Wen Huang Valeria Giangarrà Alexander D. Borowsky Neil E. Hubbard Shih-Yu Chen Guojun Han Alan Ashworth Thomas J. Kipps Jonathan S. Berek Garry P. Nolan Wendy J. Fantl |
| spellingShingle |
Veronica D. Gonzalez Nikolay Samusik Tiffany J. Chen Erica S. Savig Nima Aghaeepour David A. Quigley Ying-Wen Huang Valeria Giangarrà Alexander D. Borowsky Neil E. Hubbard Shih-Yu Chen Guojun Han Alan Ashworth Thomas J. Kipps Jonathan S. Berek Garry P. Nolan Wendy J. Fantl Commonly Occurring Cell Subsets in High-Grade Serous Ovarian Tumors Identified by Single-Cell Mass Cytometry Cell Reports high grade serious ovarian cancer single cell mass cytometry CyTOF hierarchical clustering phenotypic characterization |
| author_facet |
Veronica D. Gonzalez Nikolay Samusik Tiffany J. Chen Erica S. Savig Nima Aghaeepour David A. Quigley Ying-Wen Huang Valeria Giangarrà Alexander D. Borowsky Neil E. Hubbard Shih-Yu Chen Guojun Han Alan Ashworth Thomas J. Kipps Jonathan S. Berek Garry P. Nolan Wendy J. Fantl |
| author_sort |
Veronica D. Gonzalez |
| title |
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_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_sort |
commonly occurring cell subsets in high-grade serous ovarian tumors identified by single-cell mass cytometry |
| publisher |
Elsevier |
| series |
Cell Reports |
| issn |
2211-1247 |
| publishDate |
2018-02-01 |
| description |
Summary: 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. |
| topic |
high grade serious ovarian cancer single cell mass cytometry CyTOF hierarchical clustering phenotypic characterization |
| url |
http://www.sciencedirect.com/science/article/pii/S2211124718301025 |
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doaj-c6d07ffaf8194872a0ab6903a46f592e2020-11-25T03:37:32ZengElsevierCell Reports2211-12472018-02-012271875188810.1016/j.celrep.2018.01.053Commonly Occurring Cell Subsets in High-Grade Serous Ovarian Tumors Identified by Single-Cell Mass CytometryVeronica D. Gonzalez0Nikolay Samusik1Tiffany J. Chen2Erica S. Savig3Nima Aghaeepour4David A. Quigley5Ying-Wen Huang6Valeria Giangarrà7Alexander D. Borowsky8Neil E. Hubbard9Shih-Yu Chen10Guojun Han11Alan Ashworth12Thomas J. Kipps13Jonathan S. Berek14Garry P. Nolan15Wendy J. Fantl16Baxter Laboratory for Stem Cell Biology, Department of Microbiology & Immunology, Stanford University School of Medicine, Stanford, CA 94305, USABaxter Laboratory for Stem Cell Biology, Department of Microbiology & Immunology, Stanford University School of Medicine, Stanford, CA 94305, USABaxter Laboratory for Stem Cell Biology, Department of Microbiology & Immunology, Stanford University School of Medicine, Stanford, CA 94305, USABaxter Laboratory for Stem Cell Biology, Department of Microbiology & Immunology, Stanford University School of Medicine, Stanford, CA 94305, USABaxter Laboratory for Stem Cell Biology, Department of Microbiology & Immunology, Stanford University School of Medicine, Stanford, CA 94305, USAHelen Diller Family Comprehensive Cancer Center, University of California, San Francisco, 1450 Third Street, San Francisco, CA 94158, USA; Department of Epidemiology and Biostatistics, University of California, San Francisco, 1450 Third Street, San Francisco, CA 94158, USABaxter Laboratory for Stem Cell Biology, Department of Microbiology & Immunology, Stanford University School of Medicine, Stanford, CA 94305, USABaxter Laboratory for Stem Cell Biology, Department of Microbiology & Immunology, Stanford University School of Medicine, Stanford, CA 94305, USACenter for Comparative Medicine, University of California, Davis, Davis, CA 95616, USA; Department of Pathology and Laboratory Medicine, Comprehensive Cancer Center, University of California, Davis School of Medicine, Sacramento, CA 95817, USACenter for Comparative Medicine, University of California, Davis, Davis, CA 95616, USA; Department of Pathology and Laboratory Medicine, Comprehensive Cancer Center, University of California, Davis School of Medicine, Sacramento, CA 95817, USABaxter Laboratory for Stem Cell Biology, Department of Microbiology & Immunology, Stanford University School of Medicine, Stanford, CA 94305, USABaxter Laboratory for Stem Cell Biology, Department of Microbiology & Immunology, Stanford University School of Medicine, Stanford, CA 94305, USAHelen Diller Family Comprehensive Cancer Center, University of California, San Francisco, 1450 Third Street, San Francisco, CA 94158, USA; Department of Medicine, University of California, San Francisco, 1450 Third Street, San Francisco, CA 94158, USAMoores Cancer Center, University of California, San Diego, La Jolla, CA 92093, USAStanford Comprehensive Cancer Institute and Department of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, CA 94305, USABaxter Laboratory for Stem Cell Biology, Department of Microbiology & Immunology, Stanford University School of Medicine, Stanford, CA 94305, USAStanford Comprehensive Cancer Institute and Department of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, CA 94305, USA; Corresponding authorSummary: 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.http://www.sciencedirect.com/science/article/pii/S2211124718301025high grade serious ovarian cancersingle cellmass cytometryCyTOFhierarchical clusteringphenotypic characterization |