Evidence map›Paper›PMID 15940270›Full record

ArticleOncogene2005

Discrimination between serous low malignant potential and invasive epithelial ovarian tumors using molecular profiling.

Véronique Ouellet, Diane M Provencher, Christine M Maugard, Cécile Le Page, Fengge Ren, Christian Lussier, Jaroslav Novak, Bing Ge, Thomas J Hudson, Patricia N Tonin and 1 more

Abstract read
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In one paragraph

Article in Oncogene, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
–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

33 citing papers in PubMed.

  1. Article
  2. Ran GTPase and Its Importance in Cellular Signaling and Malignant Phenotype.International journal of molecular sciences · 2023
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Ran GTPase: A Key Player in Tumor Progression and Metastasis.Frontiers in cell and developmental biology · 2020
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. curatedOvarianData: clinically annotated data for the ovarian cancer transcriptome.Database : the journal of biological databases and curation · 2013
    Article
  19. Article
  20. Article
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

11 authors.

Véronique OuelletCentre de Recherche du Centre Hospitalier de l'Université de Montréal/Institut du cancer de Montréal, Montreal, Canada.
Diane M Provencher
Christine M Maugard
Cécile Le Page
Fengge Ren
Christian Lussier
Jaroslav Novak
Bing Ge
Thomas J Hudson
Patricia N Tonin
Anne-Marie Mes-Masson

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumors of low malignant potential (LMP) represent 20% of epithelial ovarian cancers (EOCs) and are associated with a better prognosis than the invasive tumors (TOV). Defining the relationship between LMPs and TOVs remains an important goal towards understanding the molecular pathways that contribute to prognosis, as well as providing molecular markers, for these EOCs. To this end, DNA microarray analyses were performed either in a primary culture or a tumor tissue model system and selected candidate genes showing a distinctive expression profile between LMPs and TOVs were identified using a class prediction approach based on three statistical methods of analysis. Both model systems appear relevant as candidate genes identified by either model allowed the proper reclassification of samples as either LMPs or TOVs. Selected candidate genes (CAS, CCNE1, LGALS8, ITGbeta3, ATP1B1, FLIP, KRT7 and KRT19) were validated by real-time quantitative PCR analysis and show differential expression between LMPs and TOVs. Immunohistochemistry analyses showed that the two tumor classes were distinguishable by their expression of CAS, TNFR1A, FLIP, CKS1 and CCNE1. These results define signature patterns for gene expression of LMPs and TOVs and identify gene candidates that warrant further study to deepen our understanding of the biology of EOC.

Indexed as

Gene Expression ProfilingGenetic MarkersNeoplasm InvasivenessOligonucleotide Array Sequence AnalysisDiagnosis, DifferentialFemaleHumansOvarian NeoplasmsPolymerase Chain ReactionPrognosisTumor Cells, CulturedGenetic Markers

Identifiers

PMID15940270

What OpenQuestion holds

Textmetadata
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.