Evidence map›Paper›PMID 21253919›Full record

ArticlePathology oncology research : POR2011

Validation of circulating MMP-7 level as an independent prognostic marker of poor survival in urinary bladder cancer.

Tibor Szarvas, Tobias Jäger, Markus Becker, Stephan Tschirdewahn, Christian Niedworok, Ilona Kovalszky, Herbert Rübben, Süleyman Ergün, Frank vom Dorp

Abstract readValidation Study
PubMed Publisher
In one paragraph

Article in Pathology oncology research : POR, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 3 pooled it
4.4field-weighted citation impact, top 6% 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

25 citing papers in PubMed, 3 syntheses or guidelines pooled it, 45 citations in OpenAlex.

  1. Pooled it
  2. Prognostic value of matrix metalloproteinase-7 expression in patients with non-small cell lung cancer.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
    Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Evaluation of a Dual PI3K/mTOR Inhibitor PF-04691502 against Bladder Cancer Cells.Evidence-based complementary and alternative medicine : eCAM · 2022
    Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. High VEGF-D and Low MMP-2 Serum Levels Predict Nodal-Positive Disease in Invasive Bladder Cancer.Medical science monitor : international medical journal of experimental and clinical research · 2015
    Article
  16. Article
  17. External validation of a multiplex urinary protein panel for the detection of bladder cancer in a multicenter cohort.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2014
    Article
  18. MMP7 and MMP8 genetic polymorphisms in bladder cancer patients.Central European journal of urology · 2014
    Article
  19. Article
  20. Matrix metalloproteinases in cancer: their value as diagnostic and prognostic markers and therapeutic targets.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2013
    Review
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 3 institutions in 2 countries.

Tibor SzarvasDepartment of Urology, University of Duisburg-Essen, Hufelandstr 55, 45147 Essen, Germany.
Tobias Jäger
Markus Becker
Stephan Tschirdewahn
Christian Niedworok
Ilona Kovalszky
Herbert Rübben
Süleyman Ergün
Frank vom Dorp
University of Duisburg-Essen · DEEssen University Hospital · DESemmelweis University · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular marker analyses aiming a more accurate disease characterization and risk stratification of cancer patients provided several promising marker candidates in the last few years. However, recent reviews underlined the paramount importance of validation, since many of the initially promising results could not be confirmed in independent patient cohorts. If serum or plasma is a more appropriate sample to test for prognostic markers is a matter of debate. We recently found serum MMP-7 levels to correlate with poor patients' prognosis in urinary bladder cancer. In this study, we examined associations of the MMP-7 plasma levels with clinical follow-up data in an independent cohort of bladder cancer patients to validate our former results and to assess if plasma is also suitable for MMP-7 analysis. Plasma levels of 97 patients and 22 controls were analyzed, using enzyme-linked immunosorbent assay. Associations between MMP-7 plasma concentrations and clinical data were assessed applying both univariate and multivariate analysis. Plasma MMP-7 levels were significantly higher in patients than in controls. Similarly to our former findings in sera, high MMP-7 plasma levels proved to be significant and independent predictors of both overall and disease-specific survival. In addition, we observed a metastasis-specific difference in MMP-7 levels between serum and plasma. In summary, we confirmed the prognostic relevance of circulating MMP-7 levels in an independent cohort of patients and concluded that circulating MMP-7 levels may help to identify bladder cancer patients at high-risk of disease progression who could benefit from an adjuvant chemotherapy or from an extended lymph node dissection.

Indexed as

Biomarkers, TumorCarcinoma, Transitional CellDisease ProgressionEnzyme-Linked Immunosorbent AssayFemaleHumansKaplan-Meier EstimateMaleMatrix Metalloproteinase 7Neoplasm StagingPrognosisProportional Hazards ModelsUrinary Bladder NeoplasmsBiomarkers, TumorMatrix Metalloproteinase 7

Identifiers

PMID21253919
OpenAlexW2137668911

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.