Evidence map›Paper›PMID 29444438›Full record

ArticleCell reports2018

Commonly Occurring Cell Subsets in High-Grade Serous Ovarian Tumors Identified by Single-Cell Mass Cytometry.

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 and 7 more

Open access · goldAbstract read
In one paragraph

Article in Cell reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed
14.5field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

67 citing papers in PubMed, 129 citations in OpenAlex.

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7 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors at 5 institutions in 1 country.

Veronica D GonzalezBaxter Laboratory for Stem Cell Biology, Department of Microbiology & Immunology, Stanford University School of Medicine, Stanford, CA 94305, USA.
Nikolay SamusikBaxter Laboratory for Stem Cell Biology, Department of Microbiology & Immunology, Stanford University School of Medicine, Stanford, CA 94305, USA.
Tiffany J ChenBaxter Laboratory for Stem Cell Biology, Department of Microbiology & Immunology, Stanford University School of Medicine, Stanford, CA 94305, USA.
Erica S SavigBaxter Laboratory for Stem Cell Biology, Department of Microbiology & Immunology, Stanford University School of Medicine, Stanford, CA 94305, USA.
Nima AghaeepourBaxter Laboratory for Stem Cell Biology, Department of Microbiology & Immunology, Stanford University School of Medicine, Stanford, CA 94305, USA.
David A QuigleyHelen 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, USA.
Ying-Wen HuangBaxter Laboratory for Stem Cell Biology, Department of Microbiology & Immunology, Stanford University School of Medicine, Stanford, CA 94305, USA.
Valeria GiangarràBaxter Laboratory for Stem Cell Biology, Department of Microbiology & Immunology, Stanford University School of Medicine, Stanford, CA 94305, USA.
Alexander D BorowskyCenter 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, USA.
Neil E HubbardCenter 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, USA.
Shih-Yu ChenBaxter Laboratory for Stem Cell Biology, Department of Microbiology & Immunology, Stanford University School of Medicine, Stanford, CA 94305, USA.
Guojun HanBaxter Laboratory for Stem Cell Biology, Department of Microbiology & Immunology, Stanford University School of Medicine, Stanford, CA 94305, USA.
Alan AshworthHelen 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, USA.
Thomas J KippsMoores Cancer Center, University of California, San Diego, La Jolla, CA 92093, USA.
Jonathan S BerekStanford Comprehensive Cancer Institute and Department of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, CA 94305, USA.
Garry P NolanBaxter Laboratory for Stem Cell Biology, Department of Microbiology & Immunology, Stanford University School of Medicine, Stanford, CA 94305, USA.
Wendy J FantlStanford Comprehensive Cancer Institute and Department of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, CA 94305, USA. Electronic address: wjfantl@stanford.edu.
Baxter (United States) · USStanford University · USUniversity of California, Davis · USUniversity of California, San Francisco · USUniversity of California, San Diego · US

Funding

Systems Biology CoreU19AI100627 · NIAID · SCRIPPS RESEARCH INSTITUTE, THE · PI ULEVITCH, RICHARD J · 2012 to 2021
$49.1M
NHLBI PROTEOMICS INITIATIVE-N01HV28183N01HV028183 · HV · STANFORD UNIVERSITY · PI NOLAN, GARRY P · 2002 to 2006
–
CIHR CIHR 321510NHLBI NIH HHS HHSN268201000034CNHLBI NIH HHS N01 HV028183NIAID NIH HHS U19 AI100627
6 · The paper itself

Abstract

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.

Indexed as

AgedAged, 80 and overAntibodies, NeoplasmCarboplatinCell Line, TumorCluster AnalysisCystadenocarcinoma, SerousDrug Resistance, NeoplasmFemaleFlow CytometryHumansMiddle AgedNeoplasm ProteinsNeoplasm Recurrence, LocalOvarian NeoplasmsPhenotypeAntibodies, NeoplasmCarboplatinNeoplasm ProteinscMycCyTOFHE4heterogeneityhierarchical clusteringhigh grade serious ovarian cancermass cytometryphenotypic characterizationrelapsesingle cell

Identifiers

PMID29444438
PMCPMC8556706
OpenAlexW2787335459

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.