Evidence map›Paper›PMID 22710073›Full record

ArticleGynecologic oncology2012

DNA profiling analysis of endometrial and ovarian cell lines reveals misidentification, redundancy and contamination.

Christopher Korch, Monique A Spillman, Twila A Jackson, Britta M Jacobsen, Susan K Murphy, Bruce A Lessey, V Craig Jordan, Andrew P Bradford

Abstract read
In one paragraph

Article in Gynecologic oncology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 134 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
134citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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

134 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Prevalence and Prevention of Reproducibility Deficiencies in Life Sciences Research: Large-Scale Meta-Analyses.Medical science monitor : international medical journal of experimental and clinical research · 2020
    Pooled it
  2. Pooled it
  3. Pooled it
  4. Metformin Promotes Anti-tumor Biomarkers in Human Endometrial Cancer Cells.Reproductive sciences (Thousand Oaks, Calif.) · 2020
    Trial
  5. Article
  6. Article
  7. Cell line authentication: a commercial service provider perspective.Frontiers in cell and developmental biology · 2026
    Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Modelling Endometriosis Using In Vitro and In Vivo Systems.International journal of molecular sciences · 2025
    Review
  14. Review
  15. Review
  16. Article
  17. Article
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  20. Article

74 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

8 authors.

Christopher KorchDepartment of Medicine, Division of Medical Oncology, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA.
Monique A Spillman
Twila A Jackson
Britta M Jacobsen
Susan K Murphy
Bruce A Lessey
V Craig Jordan
Andrew P Bradford

Funding

University of Colorado Cancer Center Support Grant - Lung Cancer Patient-Derived Xenografts with Autologous Human Immune SystemsP30CA046934 · NCI · UNIVERSITY OF COLORADO DENVER · PI James V Degregori · 1988 to 2026
$117.0M
Tissue Culture Shared ResourceP30CA051008 · NCI · GEORGETOWN UNIVERSITY · PI STEPHEN W BYERS · 1990 to 2026
$71.5M
Progesterone Action in the Endometrium of Women with EndometriosisR01HD067721 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI YOUNG, STEVEN L · 2011 to 2015
$3.1M
Extranuclear estrogen receptor actions on endometrial cancer cell proliferationR01CA125427 · NCI · UNIVERSITY OF COLORADO DENVER · PI JACKSON, TWILA A · 2008 to 2012
$1.4M
NCI NIH HHS CA125427NCI NIH HHS P30 CA046934NCI NIH HHS P30CA046934NCI NIH HHS P30 CA051008NCI NIH HHS R01 CA125427NICHD NIH HHS HD067721NICHD NIH HHS R01 HD067721
6 · The paper itself

Abstract

objectivesCell lines derived from human ovarian and endometrial cancers, and their immortalized non-malignant counterparts, are critical tools to investigate and characterize molecular mechanisms underlying gynecologic tumorigenesis, and facilitate development of novel therapeutics. To determine the extent of misidentification, contamination and redundancy, with evident consequences for the validity of research based upon these models, we undertook a systematic analysis and cataloging of endometrial and ovarian cell lines.

methodsProfiling of cell lines by analysis of DNA microsatellite short tandem repeats (STR), p53 nucleotide polymorphisms and microsatellite instability was performed.

resultsFifty-one ovarian cancer lines were profiled with ten found to be redundant and five (A2008, OV2008, C13, SK-OV-4 and SK-OV-6) identified as cervical cancer cells. Ten endometrial cell lines were analyzed, with RL-92, HEC-1A, HEC-1B, HEC-50, KLE, and AN3CA all exhibiting unique, uncontaminated STR profiles. Multiple variants of Ishikawa and ECC-1 endometrial cancer cell lines were genotyped and analyzed by sequencing of mutations in the p53 gene. The profile of ECC-1 cells did not match the EnCa-101 tumor, from which it was reportedly derived, and all ECC-1 isolates were genotyped as Ishikawa cells, MCF-7 breast cancer cells, or a combination thereof. Two normal, immortalized endometrial epithelial cell lines, HES cells and the hTERT-EEC line, were identified as HeLa cervical carcinoma and MCF-7 breast cancer cells, respectively.

conclusionsResults demonstrate significant misidentification, duplication, and loss of integrity of endometrial and ovarian cancer cell lines. Authentication by STR DNA profiling is a simple and economical method to verify and validate studies undertaken with these models.

Indexed as

Cell Line, TumorDNA FingerprintingEndometrial NeoplasmsFemaleGene Expression Regulation, NeoplasticHumansOvarian Neoplasms

Identifiers

PMID22710073
PMCPMC3432677

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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.