Evidence map›Paper›PMID 28111004›Full record

ArticleGynecologic oncology2017

Single cell sequencing reveals heterogeneity within ovarian cancer epithelium and cancer associated stromal cells.

Boris J Winterhoff, Makayla Maile, Amit Kumar Mitra, Attila Sebe, Martina Bazzaro, Melissa A Geller, Juan E Abrahante, Molly Klein, Raffaele Hellweg, Sally A Mullany and 3 more

Erratum issuedAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Gynecologic oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 71 papers.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed
4.6field-weighted citation impact, top 4% 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

71 citing papers in PubMed, 134 citations in OpenAlex.

  1. Review
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  6. Single-cell Technology in Stem Cell Research.Current stem cell research & therapy · 2025
    Review
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  15. Single-cell transcriptomic atlas of goat ovarian aging.Journal of animal science and biotechnology · 2023
    Article
  16. Article
  17. Article
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  20. Review

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 2 institutions in 2 countries.

Boris J WinterhoffDepartment of Obstetrics, Gynecology & Women's Health, University of Minnesota, Minneapolis, MN, USA; Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA.
Makayla MaileDepartment of Obstetrics, Gynecology & Women's Health, University of Minnesota, Minneapolis, MN, USA; Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA.
Amit Kumar MitraDepartment of Genetics, Cell Biology & Development, University of Minnesota, Minneapolis, MN, USA.
Attila SebeDivision of Medical Biotechnology, Paul Ehrlich Institute, Langen, Germany.
Martina BazzaroDepartment of Obstetrics, Gynecology & Women's Health, University of Minnesota, Minneapolis, MN, USA; Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA.
Melissa A GellerDepartment of Obstetrics, Gynecology & Women's Health, University of Minnesota, Minneapolis, MN, USA; Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA.
Juan E AbrahanteUniversity of Minnesota Informatics Institute, University of Minnesota, Minneapolis, MN, USA.
Molly KleinDepartment of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA.
Raffaele HellwegDepartment of Obstetrics, Gynecology & Women's Health, University of Minnesota, Minneapolis, MN, USA.
Sally A MullanyDepartment of Obstetrics, Gynecology & Women's Health, University of Minnesota, Minneapolis, MN, USA.
Kenneth BeckmanGenomics Center, University of Minnesota, Minneapolis, MN, USA.
Jerry DanielGenomics Center, University of Minnesota, Minneapolis, MN, USA.
Timothy K StarrDepartment of Obstetrics, Gynecology & Women's Health, University of Minnesota, Minneapolis, MN, USA; Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA. Electronic address: star0044@umn.edu.
University of Minnesota · USPaul Ehrlich Institut · DE

Funding

Women's CancerP30CA077598 · NCI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI Douglas Yee · 1998 to 2026
$100.4M
University of Minnesota Clinical and Translational Science Institute (UMN CTSI)UL1TR000114 · NCATS · UNIVERSITY OF MINNESOTA · PI BLAZAR, BRUCE R · 2012 to 2015
$35.0M
Cancer gene discovery using Sleeping Beauty transposon-mediated mutagenesisR00CA151672 · NCI · UNIVERSITY OF MINNESOTA · PI STARR, TIMOTHY KAEHLER · 2011 to 2013
$710k
NCATS NIH HHS UL1 TR000114NCI NIH HHS P30 CA077598NCI NIH HHS R00 CA151672
6 · The paper itself

Abstract

objectivesThe purpose of this study was to determine the level of heterogeneity in high grade serous ovarian cancer (HGSOC) by analyzing RNA expression in single epithelial and cancer associated stromal cells. In addition, we explored the possibility of identifying subgroups based on pathway activation and pre-defined signatures from cancer stem cells and chemo-resistant cells.

methodsA fresh, HGSOC tumor specimen derived from ovary was enzymatically digested and depleted of immune infiltrating cells. RNA sequencing was performed on 92 single cells and 66 of these single cell datasets passed quality control checks. Sequences were analyzed using multiple bioinformatics tools, including clustering, principle components analysis, and geneset enrichment analysis to identify subgroups and activated pathways. Immunohistochemistry for ovarian cancer, stem cell and stromal markers was performed on adjacent tumor sections.

resultsAnalysis of the gene expression patterns identified two major subsets of cells characterized by epithelial and stromal gene expression patterns. The epithelial group was characterized by proliferative genes including genes associated with oxidative phosphorylation and MYC activity, while the stromal group was characterized by increased expression of extracellular matrix (ECM) genes and genes associated with epithelial-to-mesenchymal transition (EMT). Neither group expressed a signature correlating with published chemo-resistant gene signatures, but many cells, predominantly in the stromal subgroup, expressed markers associated with cancer stem cells.

conclusionsSingle cell sequencing provides a means of identifying subpopulations of cancer cells within a single patient. Single cell sequence analysis may prove to be critical for understanding the etiology, progression and drug resistance in ovarian cancer.

Indexed as

Carcinoma, Ovarian EpithelialCell Line, TumorEpithelial CellsFemaleGene Expression ProfilingHumansImmunohistochemistryNeoplasms, Glandular and EpithelialNeoplastic Stem CellsOvarian NeoplasmsRNA, MessengerRNA, NeoplasmSingle-Cell AnalysisStromal CellsRNA, MessengerRNA, NeoplasmMolecular subtypesOvarian cancerSingle cell sequencing and cancer stem cells

Identifiers

PMID28111004
PMCPMC5316302
OpenAlexW2574793421

What OpenQuestion holds

Textmetadata
LicenceTDM
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.