Evidence map›Paper›PMID 16421595›Full record

ArticleBritish journal of cancer2006

Gene expression profiling of primary cultures of ovarian epithelial cells identifies novel molecular classifiers of ovarian cancer.

C Le Page, V Ouellet, J Madore, F Ren, T J Hudson, P N Tonin, D M Provencher, A-M Mes-Masson

Open access · hybridAbstract read
In one paragraph

Article in British journal of cancer, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 21% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 51 citations in OpenAlex.

  1. Pooled it
  2. Review
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  10. Review
  11. Article
  12. Calpain system protein expression and activity in ovarian cancer.Journal of cancer research and clinical oncology · 2019
    Article
  13. Article
  14. Bone morphogenetic protein signaling in musculoskeletal cancer.Journal of cancer research and clinical oncology · 2016
    Review
  15. Identifying an ovarian cancer cell hierarchy regulated by bone morphogenetic protein 2.Proceedings of the National Academy of Sciences of the United States of America · 2015
    Article
  16. Article
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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 at 3 institutions in 1 country.

C Le PageCentre de Recherche of the Center hospitalier de l'Université de Montréal (CR-CHUM)/Institut du cancer de Montréal, Montreal, Quebec, Canada H2L 4M1.
V Ouellet
J Madore
F Ren
T J Hudson
P N Tonin
D M Provencher
A-M Mes-Masson
Centre Hospitalier de l’Université de Montréal · CAMcGill University · CAMcGill University and Génome Québec Innovation Centre · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In order to elucidate the biological variance between normal ovarian surface epithelial (NOSE) and epithelial ovarian cancer (EOC) cells, and to build a molecular classifier to discover new markers distinguishing these cells, we analysed gene expression patterns of 65 primary cultures of these tissues by oligonucleotide microarray. Unsupervised clustering highlights three subgroups of tumours: low malignant potential tumours, invasive solid tumours and tumour cells derived from ascites. We selected 18 genes with expression profiles that enable the distinction of NOSE from these three groups of EOC with 92% accuracy. Validation using an independent published data set derived from tissues or primary cultures confirmed a high accuracy (87-96%). The distinctive expression pattern of a subset of genes was validated by quantitative reverse transcription-PCR. An ovarian-specific tissue array representing tissues from NOSE and EOC samples of various subtypes and grades was used to further assess the protein expression patterns of two differentially expressed genes (Msln and BMP-2) by immunohistochemistry. This study highlights the relevance of using primary cultures of epithelial ovarian cells as a model system for gene profiling studies and demonstrates that the statistical analysis of gene expression profiling is a useful approach for selecting novel molecular tumour markers.

Indexed as

Gene Expression ProfilingBiomarkers, TumorBone Morphogenetic Protein 2Bone Morphogenetic ProteinsCells, CulturedEpithelial CellsFemaleGenes, NeoplasmGPI-Linked ProteinsHumansMembrane GlycoproteinsMesothelinNeoplasm StagingOvarian NeoplasmsOvaryReceptors, Tumor Necrosis Factor, Type IATP1B1 protein, humanBiomarkers, TumorBMP2 protein, humanBone Morphogenetic Protein 2Bone Morphogenetic ProteinsGPI-Linked ProteinsMembrane GlycoproteinsMesothelinMSLN protein, humanReceptors, Tumor Necrosis Factor, Type ISodium-Potassium-Exchanging ATPaseTransforming Growth Factor beta

Identifiers

PMID16421595
PMCPMC2361148
OpenAlexW2029739752

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.