Evidence map›Paper›PMID 21156726›Full record

ArticleGenome research2011

Epigenetic suppression of the TGF-beta pathway revealed by transcriptome profiling in ovarian cancer.

Noriomi Matsumura, Zhiqing Huang, Seiichi Mori, Tsukasa Baba, Shingo Fujii, Ikuo Konishi, Edwin S Iversen, Andrew Berchuck, Susan K Murphy

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing 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

50 citing papers in PubMed, 94 citations in OpenAlex.

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  17. GDF15 and Growth Control.Frontiers in physiology · 2018
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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

9 authors at 5 institutions in 2 countries.

Noriomi MatsumuraDepartment of Obstetrics and Gynecology, Division of Gynecologic Oncology, Duke University Medical Center, Durham, North Carolina 27710, USA.
Zhiqing Huang
Seiichi Mori
Tsukasa Baba
Shingo Fujii
Ikuo Konishi
Edwin S Iversen
Andrew Berchuck
Susan K Murphy
Duke Medical Center · USKyoto University · JPDuke University · USKyoto Medical Center · JPStatistical and Applied Mathematical Sciences Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epithelial ovarian cancer is the leading cause of death among gynecologic malignancies. Diagnosis usually occurs after metastatic spread, largely reflecting vague symptoms of early disease combined with lack of an effective screening strategy. Epigenetic mechanisms of gene regulation, including DNA methylation, are fundamental to normal cellular function and also play a major role in carcinogenesis. To elucidate the biological and clinical relevance of DNA methylation in ovarian cancer, we conducted expression microarray analysis of 39 cell lines and 17 primary culture specimens grown in the presence or absence of DNA methyltransferase (DNMT) inhibitors. Two parameters, induction of expression and standard deviation among untreated samples, identified 378 candidate methylated genes, many relevant to TGF-beta signaling. We analyzed 43 of these genes and they all exhibited methylation. Treatment with DNMT inhibitors increased TGF-beta pathway activity. Hierarchical clustering of ovarian cancers using the 378 genes reproducibly generated a distinct gene cluster strongly correlated with TGF-beta pathway activity that discriminates patients based on age. These data suggest that accumulation of age-related epigenetic modifications leads to suppression of TGF-beta signaling and contributes to ovarian carcinogenesis.

Indexed as

Epigenesis, GeneticGene Expression ProfilingCarcinoma, Ovarian EpithelialCell Line, TumorDNA MethylationEpigenomicsFemaleGene Expression Regulation, NeoplasticHumansNeoplasms, Glandular and EpithelialOligonucleotide Array Sequence AnalysisOvarian NeoplasmsSignal TransductionTransforming Growth Factor betaTumor Cells, CulturedTransforming Growth Factor beta

Identifiers

PMID21156726
PMCPMC3012928
OpenAlexW2109023646

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.