Evidence map›Paper›PMID 24416395›Full record

SynthesisPloS one2014

Metallothionein - immunohistochemical cancer biomarker: a meta-analysis.

Jaromir Gumulec, Martina Raudenska, Vojtech Adam, Rene Kizek, Michal Masarik

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
8.9field-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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 71 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
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  5. Article
  6. The Critical Role of Ferroptosis in Hepatocellular Carcinoma.Frontiers in cell and developmental biology · 2022
    Review
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  8. Article
  9. Review
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  11. Article
  12. Article
  13. Article
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  19. Effect of HPV on tumor expression levels of the most commonly used markers in HNSCC.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016
    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

5 authors at 3 institutions in 1 country.

Jaromir GumulecDepartment of Pathological Physiology, Masaryk University, Brno, Czech Republic ; Central European Institute of Technology, Brno University of Technology, Brno, Czech Republic.
Martina RaudenskaDepartment of Pathological Physiology, Masaryk University, Brno, Czech Republic ; Central European Institute of Technology, Brno University of Technology, Brno, Czech Republic.
Vojtech AdamCentral European Institute of Technology, Brno University of Technology, Brno, Czech Republic ; Department of Chemistry and Biochemistry, Mendel University in Brno, Brno, Czech Republic.
Rene KizekCentral European Institute of Technology, Brno University of Technology, Brno, Czech Republic ; Department of Chemistry and Biochemistry, Mendel University in Brno, Brno, Czech Republic.
Michal MasarikDepartment of Pathological Physiology, Masaryk University, Brno, Czech Republic ; Central European Institute of Technology, Brno University of Technology, Brno, Czech Republic.
Masaryk University · CZBrno University of Technology · CZCentral European Institute of Technology · CZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metallothionein (MT) has been extensively investigated as a molecular marker of various types of cancer. In spite of the fact that numerous reviews have been published in this field, no meta-analytical approach has been performed. Therefore, results of to-date immunohistochemistry-based studies were summarized using meta-analysis in this review. Web of science, PubMed, Embase and CENTRAL databases were searched (up to April 30, 2013) and the eligibility of individual studies and heterogeneity among the studies was assessed. Random and fixed effects model meta-analysis was employed depending on the heterogeneity, and publication bias was evaluated using funnel plots and Egger's tests. A total of 77 studies were included with 8,015 tissue samples (4,631 cases and 3,384 controls). A significantly positive association between MT staining and tumors (vs. healthy tissues) was observed in head and neck (odds ratio, OR 9.95; 95% CI 5.82-17.03) and ovarian tumors (OR 7.83; 1.09-56.29), and a negative association was ascertained in liver tumors (OR 0.10; 0.03-0.30). No significant associations were identified in breast, colorectal, prostate, thyroid, stomach, bladder, kidney, gallbladder, and uterine cancers and in melanoma. While no associations were identified between MT and tumor staging, a positive association was identified with the tumor grade (OR 1.58; 1.08-2.30). In particular, strong associations were observed in breast, ovarian, uterine and prostate cancers. Borderline significant association of metastatic status and MT staining were determined (OR 1.59; 1.03-2.46), particularly in esophageal cancer. Additionally, a significant association between the patient prognosis and MT staining was also demonstrated (hazard ratio 2.04; 1.47-2.81). However, a high degree of inconsistence was observed in several tumor types, including colorectal, kidney and prostate cancer. Despite the ambiguity in some tumor types, conclusive results are provided in the tumors of head and neck, ovary and liver and in relation to the tumor grade and patient survival.

Indexed as

Biomarkers, TumorCase-Control StudiesDatabases, BibliographicFemaleHead and Neck NeoplasmsHumansImmunohistochemistryLiver NeoplasmsMetallothioneinNeoplasm GradingNeoplasm MetastasisOdds RatioOvarian NeoplasmsPrognosisBiomarkers, TumorMetallothionein

Identifiers

PMID24416395
PMCPMC3885711
OpenAlexW2027322293

What OpenQuestion holds

Textmetadata
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.