Evidence map›Paper›PMID 24549248›Full record

ArticleOncology reports2014

GATA5 CpG island hypermethylation is an independent predictor for poor clinical outcome in renal cell carcinoma.

Inga Peters, Kai Gebauer, Natalia Dubrowinskaja, Faranaz Atschekzei, Mario W Kramer, Joerg Hennenlotter, Hossein Tezval, Mahmoud Abbas, Ralph Scherer, Axel S Merseburger and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Oncology reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.9field-weighted citation impact, top 28% 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

12 citing papers in PubMed, 21 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. DNA Methylation inCancers · 2021
    Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. 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

13 authors at 2 institutions in 1 country.

Inga PetersDepartment of Urology and Urologic Oncology, Hannover Medical School, D-30625 Hannover, Germany.
Kai GebauerDepartment of Urology and Urologic Oncology, Hannover Medical School, D-30625 Hannover, Germany.
Natalia DubrowinskajaDepartment of Urology and Urologic Oncology, Hannover Medical School, D-30625 Hannover, Germany.
Faranaz AtschekzeiDepartment of Urology and Urologic Oncology, Hannover Medical School, D-30625 Hannover, Germany.
Mario W KramerDepartment of Urology and Urologic Oncology, Hannover Medical School, D-30625 Hannover, Germany.
Joerg HennenlotterDepartment of Urology, Eberhard-Karls University, D-72076 Tuebingen, Germany.
Hossein TezvalDepartment of Urology and Urologic Oncology, Hannover Medical School, D-30625 Hannover, Germany.
Mahmoud AbbasDepartment of Pathology, Hannover Medical School, D-30625 Hannover, Germany.
Ralph SchererDepartment of Biometry, Hannover Medical School, D-30625 Hannover, Germany.
Axel S MerseburgerDepartment of Urology and Urologic Oncology, Hannover Medical School, D-30625 Hannover, Germany.
Arnulf StenzlDepartment of Urology, Eberhard-Karls University, D-72076 Tuebingen, Germany.
Markus A KuczykDepartment of Urology and Urologic Oncology, Hannover Medical School, D-30625 Hannover, Germany.
Juergen SerthDepartment of Urology and Urologic Oncology, Hannover Medical School, D-30625 Hannover, Germany.
Medizinische Hochschule Hannover · DEUniversity of Tübingen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transcriptional inactivation and CpG island (CGI) methylation of GATA transcription factor family members GATA3 and GATA5 have been reported for a few types of human cancer. Whether high-density CGI methylation of GATA3 or GATA5 is associated with the clinical course of patients with renal cell cancer (RCC) has not been clarified. Quantitative methylation-specific PCR assays were carried out to analyze 25 tumor cell lines including 6 RCC lines and 119 RCC and 87 adjacent normal tissues for the presence of densely methylated sequences. Methylation values were statistically compared with clinicopathological and recurrence-free survival (RFS) data for patients. Comparison of GATA3 and GATA5 methylation in different tumor cell lines revealed a marker-specific methylation characteristic with high and frequent signals for both methylation marks in RCC lines. GATA3 and GATA5 CGI relative methylation levels were found to be strongly associated with the state of metastasis (P=0.003 and P<0.001, respectively) and advanced disease (P=0.024 and P<0.001, respectively). Moreover, an independent decrease in RFS in Cox proportional hazard analysis was found for tumors exhibiting high GATA5 methylation (P<0.001, hazard ratio, 19.3; 95% confidence interval, 4.58-81.6). Epigenetic alterations in GATA family members may be associated with aggressive tumor phenotypes in RCC, and in the case of GATA5, may serve as a new independent molecular marker for aggressiveness and disease progression.

Indexed as

AgedBiomarkers, TumorCarcinoma, Renal CellCpG IslandsDisease-Free SurvivalDNA MethylationFemaleGATA3 Transcription FactorGATA5 Transcription FactorHumansKaplan-Meier EstimateKidney NeoplasmsMaleMiddle AgedPrognosisProportional Hazards ModelsBiomarkers, TumorGATA3 Transcription FactorGATA5 protein, humanGATA5 Transcription Factor

Identifiers

PMID24549248
PMCPMC3975988
OpenAlexW2026613792

What OpenQuestion holds

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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.