Evidence map›Paper›PMID 20473620›Full record

ArticleVirchows Archiv : an international journal of pathology2010

Immunohistochemically detectable dickkopf-3 expression in tumor vessels predicts survival in gastric cancer.

Gilbert Mühlmann, Gerold Untergasser, Matthias Zitt, Marion Zitt, Hans Maier, Gregor Mikuz, Irmgard E Kronberger, Michael C Haffner, Eberhard Gunsilius, Dietmar Ofner

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Article in Virchows Archiv : an international journal of pathology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

  1. Article
  2. Dkk-3 as a potential biomarker for diagnosis and prognosis of colorectal cancer.Medical journal of the Islamic Republic of Iran · 2018
    Article
  3. Dkk3 prevents familial dilated cardiomyopathy development through Wnt pathway.Laboratory investigation; a journal of technical methods and pathology · 2016
    Article
  4. Article
  5. 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

10 authors.

Gilbert MühlmannDepartment of Visceral, Transplant and Thoracic Surgery, Center of Operative Medicine, Innsbruck Medical University, Innsbruck, Austria.
Gerold Untergasser
Matthias Zitt
Marion Zitt
Hans Maier
Gregor Mikuz
Irmgard E Kronberger
Michael C Haffner
Eberhard Gunsilius
Dietmar Ofner

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dickkopf-3 (Dkk-3) may act as a tumor suppressor as it is downregulated in various types of cancer. Moreover, a putative role in tumor neovascularization is discussed. Here, we investigated the expression of Dkk-3 protein in gastric cancer and its potential value as a prognostic marker. Dkk-3 expression was analyzed by immunohistochemistry in 136 tumor samples and was correlated with microvessel density (MVD), tumor stage, and grading as well as the clinical outcome of the patients. Dkk-3 expression was detected in endothelial cells of the tumor vessels in 129/136 (94.9%) and in tumor cells in 85/136 (62.5%) samples. MVD was high and low in 57 (42.9%) and 76 (57.1%) specimens respectively. In tumor cells, overexpression of Dkk-3 was found in 41 (30.1%) of all cases and was correlated significantly to pT-stage (p < 0.05) and UICC stage (p < 0.05). Survival analysis regarding Dkk-3 expression in tumor endothelial cells showed that Dkk-3 is an independent predictor of disease-free survival (p < 0.05). Dkk-3 expression in tumor vessels of patients with gastric cancer identifies a population of patients with relatively favorable prognosis.

Indexed as

Adaptor Proteins, Signal TransducingAdenocarcinomaAdultAgedAged, 80 and overBiomarkers, TumorChemokinesEndothelial CellsFemaleHumansImmunohistochemistryIntercellular Signaling Peptides and ProteinsMaleMiddle AgedMultivariate AnalysisPrognosisAdaptor Proteins, Signal TransducingBiomarkers, TumorChemokinesDKK3 protein, humanIntercellular Signaling Peptides and Proteins

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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.