Evidence map›Paper›PMID 15361855›Full record

ArticleOncogene2004

Whole genome expression profiling of advance stage papillary serous ovarian cancer reveals activated pathways.

Howard Donninger, Tomas Bonome, Mike Radonovich, Cynthia A Pise-Masison, John Brady, Joanna H Shih, J Carl Barrett, Michael J Birrer

Abstract read
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In one paragraph

Article in Oncogene, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed
9.1field-weighted citation impact, top 2% 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

55 citing papers in PubMed, 153 citations in OpenAlex.

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  11. RGC-32 and diseases: the first 20 years.Immunologic research · 2019
    Review
  12. Role of C5b-9 and RGC-32 in Cancer.Frontiers in immunology · 2019
    Review
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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 2 countries.

Howard DonningerDepartment of Cell and Cancer Biology, National Cancer Institute, Rockville, MD 20850, USA.
Tomas Bonome
Mike Radonovich
Cynthia A Pise-Masison
John Brady
Joanna H Shih
J Carl Barrett
Michael J Birrer
National Cancer Institute · USNational Cancer Institute · MYZimmer Biomet (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ovarian cancer is the most lethal type of gynecologic cancer in the Western world. The high case fatality rate is due in part because most ovarian cancer patients present with advanced stage disease which is essentially incurable. In order to obtain a whole genome assessment of aberrant gene expression in advanced ovarian cancer, we used oligonucleotide microarrays comprising over 40,000 features to profile 37 advanced stage papillary serous primary carcinomas. We identified 1191 genes that were significantly (P < 0.001) differentially regulated between the ovarian cancer specimens and normal ovarian surface epithelium. The microarray data were validated using real time RT-PCR on 14 randomly selected differentially regulated genes. The list of differentially expressed genes includes ones that are involved in cell growth, differentiation, adhesion, apoptosis and migration. In addition, numerous genes whose function remains to be elucidated were also identified. The microarray data were imported into PathwayAssist software to identify signaling pathways involved in ovarian cancer tumorigenesis. Based on our expression results, a signaling pathway associated with tumor cell migration, spread and invasion was identified as being activated in advanced ovarian cancer. The data generated in this study represent a comprehensive list of genes aberrantly expressed in serous papillary ovarian adenocarcinoma and may be useful for the identification of potentially new and novel markers and therapeutic targets for ovarian cancer.

Indexed as

Gene Expression ProfilingCarcinoma, PapillaryCystadenocarcinoma, SerousFemaleGenomeHumansMatrix Metalloproteinases, Membrane-AssociatedMetalloendopeptidasesNeoplasm StagingOligonucleotide Array Sequence AnalysisOvarian NeoplasmsPolymerase Chain ReactionSignal TransductionMatrix Metalloproteinases, Membrane-AssociatedMetalloendopeptidases

Identifiers

PMID15361855
OpenAlexW1974869115

What OpenQuestion holds

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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.