Evidence map›Paper›PMID 20632177›Full record

ArticleWorld journal of urology2010

Use of a combination of biomarkers in serum and urine to improve detection of prostate cancer.

Celia Prior, Francisco Guillen-Grima, Jose E Robles, David Rosell, Jose M Fernandez-Montero, Xabier Agirre, Raúl Catena, Alfonso Calvo

Abstract read
PubMed Publisher
In one paragraph

Article in World journal of urology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
–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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. The association between RASSF1A promoter methylation and prostate cancer: evidence from 19 published studies.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
    Pooled it
  3. Review
  4. Glutathione-S-TransferaseInternational journal of endocrinology · 2023
    Review
  5. Review
  6. Review
  7. Review
  8. Review
  9. The present and future of prostate cancer urine biomarkers.International journal of molecular sciences · 2013
    Review
  10. Article
  11. Article
  12. Article
  13. Quadriplex model enhances urine-based detection of prostate cancer.Prostate cancer and prostatic diseases · 2011
    Article
  14. Article
  15. Urine markers and prostate cancer.Central European journal of urology · 2011
    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

8 authors.

Celia PriorLaboratory of Novel Therapeutic Targets, Division of Oncology, CIMA, University of Navarra, Pamplona, Spain.
Francisco Guillen-Grima
Jose E Robles
David Rosell
Jose M Fernandez-Montero
Xabier Agirre
Raúl Catena
Alfonso Calvo

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo measure a combination of novel molecular biomarkers in urine/blood samples of consecutive patients referring lower urinary tract symptoms (LUTS) not previously diagnosed, to improve prostate cancer diagnosis.

methodsSerum and urine samples from 113 men who went consecutively to the Department of Urology of our Institution. Biomarkers analyzed were AMACR and MMP-2 levels, and GSTP1/RASSF1A methylation status, in addition to PSA levels. Sensitivity, specificity, area under the ROC (AUROC) curves, and discriminant function analysis were assessed to determine the diagnostic potential of each variable alone or in combination.

resultsOf the patients, 30.08% had PCa and the remaining ones were tumor free. Areas under the ROC (AUROC) curves were as follows: 0.476 for PSA, 0.532 for AMACR, and 0.706 for MMP-2. Sensitivity and specificity for methylation status were 53.3 and 45.9%, respectively. The combination of these biomarkers resulted in an AUROC curve of 0.788, which significantly outperformed AUROC curves for PSA (P = 0.0033) and AMACR (P = 0.0375). Sensitivity, specificity, positive and negative predictive values for the combination of biomarkers were 57.1, 96.6, 88.9, and 82.4%, respectively.

conclusionWe conclude that analysis of this biomarker combination in body fluids improves very significantly the diagnosis of PCa compared to the PSA test.

Indexed as

AdultAgedAged, 80 and overBiomarkers, TumorGlutathione S-Transferase piHumansMaleMatrix Metalloproteinase 2MethylationMiddle AgedPredictive Value of TestsProstate-Specific AntigenProstatic NeoplasmsRacemases and EpimerasesRetrospective StudiesSensitivity and Specificityalpha-methylacyl-CoA racemaseBiomarkers, TumorGlutathione S-Transferase piGSTP1 protein, humanMatrix Metalloproteinase 2Prostate-Specific AntigenRacemases and EpimerasesRASSF1 protein, humanTumor Suppressor Proteins

Identifiers

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.