Evidence map›Paper›PMID 24023729›Full record

ArticlePloS one2013

Type-specific cell line models for type-specific ovarian cancer research.

Michael S Anglesio, Kimberly C Wiegand, Nataliya Melnyk, Christine Chow, Clara Salamanca, Leah M Prentice, Janine Senz, Winnie Yang, Monique A Spillman, Dawn R Cochrane and 4 more

Erratum issuedAbstract read
In one paragraph

Article in PloS one, 2013. 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 181 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
181citing papers in PubMed, 2 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

181 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Curcumin in ovarian cancer: mechanistic insights and translational potential.Medical oncology (Northwood, London, England) · 2026
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121 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Michael S AnglesioDepartment of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada.
Kimberly C Wiegand
Nataliya Melnyk
Christine Chow
Clara Salamanca
Leah M Prentice
Janine Senz
Winnie Yang
Monique A Spillman
Dawn R Cochrane
Karey Shumansky
Sohrab P Shah
Steve E Kalloger
David G Huntsman

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOVARIAN CARCINOMAS CONSIST OF AT LEAST FIVE DISTINCT DISEASES: high-grade serous, low-grade serous, clear cell, endometrioid, and mucinous. Biomarker and molecular characterization may represent a more biologically relevant basis for grouping and treating this family of tumors, rather than site of origin. Molecular characteristics have become the new standard for clinical pathology, however development of tailored type-specific therapies is hampered by a failure of basic research to recognize that model systems used to study these diseases must also be stratified. Unrelated model systems do offer value for study of biochemical processes but specific cellular context needs to be applied to assess relevant therapeutic strategies.

methodsWe have focused on the identification of clear cell carcinoma cell line models. A panel of 32 "ovarian cancer" cell lines has been classified into histotypes using a combination of mutation profiles, IHC mutation-surrogates, and a validated immunohistochemical model. All cell lines were identity verified using STR analysis.

resultsMany described ovarian clear cell lines have characteristic mutations (including ARID1A and PIK3CA) and an overall molecular/immuno-profile typical of primary tumors. Mutations in TP53 were present in the majority of high-grade serous cell lines. Advanced genomic analysis of bona-fide clear cell carcinoma cell lines also support copy number changes in typical biomarkers such at MET and HNF1B and a lack of any recurrent expressed re-arrangements.

conclusionsAs with primary ovarian tumors, mutation status of cancer genes like ARID1A and TP53 and a general immuno-profile serve well for establishing histotype of ovarian cancer cell We describe specific biomarkers and molecular features to re-classify generic "ovarian carcinoma" cell lines into type specific categories. Our data supports the use of prototype clear cell lines, such as TOV21G and JHOC-5, and questions the use of SKOV3 and A2780 as models of high-grade serous carcinoma.

Indexed as

Carcinoma, Ovarian EpithelialCell Line, TumorCystadenocarcinoma, SerousFemaleHumansMutationNeoplasms, Glandular and EpithelialOvarian NeoplasmsTumor Suppressor Protein p53Tumor Suppressor Protein p53

Identifiers

PMID24023729
PMCPMC3762837

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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.