Evidence map›Paper›PMID 28420168›Full record

ArticleInternational journal of molecular sciences2017

Comparative Study of Blood-Based Biomarkers, α2,3-Sialic Acid PSA and PHI, for High-Risk Prostate Cancer Detection.

Montserrat Ferrer-Batallé, Esther Llop, Manel Ramírez, Rosa Núria Aleixandre, Marc Saez, Josep Comet, Rafael de Llorens, Rosa Peracaula

Abstract readComparative Study
In one paragraph

Article in International journal of molecular sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

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

32 citing papers in PubMed.

  1. Review
  2. Review
  3. Beyond Total PSA: Clinical Significance of S2,3PSA% in Reducing Unnecessary Prostate Biopsies.International journal of urology : official journal of the Japanese Urological Association · 2026
    Review
  4. Article
  5. Review
  6. Article
  7. Prostate cancer theragnostics biomarkers: An update.Investigative and clinical urology · 2024
    Review
  8. Review
  9. Review
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Mass Spectrometry-Based Glycoproteomics and Prostate Cancer.International journal of molecular sciences · 2021
    Review
  18. Review
  19. Review
  20. 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.

Montserrat Ferrer-BatalléBiochemistry and Molecular Biology Unit, Department of Biology, University of Girona, 17003 Girona, Spain. montserrat.ferrer@udg.edu.
Esther LlopBiochemistry and Molecular Biology Unit, Department of Biology, University of Girona, 17003 Girona, Spain. esther.llop@udg.edu.
Manel RamírezGirona Biomedical Research Institute (IDIBGI), 17190 Salt (Girona), Spain. jramirez.girona.ics@gencat.cat.
Rosa Núria AleixandreGirona Biomedical Research Institute (IDIBGI), 17190 Salt (Girona), Spain. rnaleixandre@infonegocio.com.
Marc SaezResearch Group on Statistics, Econometrics and Health (GRECS), University of Girona, 17003 Girona, Spain. marc.saez@udg.edu.
Josep CometGirona Biomedical Research Institute (IDIBGI), 17190 Salt (Girona), Spain. 28547jcb@comb.cat.
Rafael de LlorensBiochemistry and Molecular Biology Unit, Department of Biology, University of Girona, 17003 Girona, Spain. rafael.llorens@udg.edu.
Rosa PeracaulaBiochemistry and Molecular Biology Unit, Department of Biology, University of Girona, 17003 Girona, Spain. rosa.peracaula@udg.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prostate Specific Antigen (PSA) is the most commonly used serum marker for prostate cancer (PCa), although it is not specific and sensitive enough to allow the differential diagnosis of the more aggressive tumors. For that, new diagnostic methods are being developed, such as PCA-3, PSA isoforms that have resulted in the 4K score or the Prostate Health Index (PHI), and PSA glycoforms. In the present study, we have compared the PHI with our recently developed PSA glycoform assay, based on the determination of the α2,3-sialic acid percentage of serum PSA (% α2,3-SA), in a cohort of 79 patients, which include 50 PCa of different grades and 29 benign prostate hyperplasia (BPH) patients. The % α2,3-SA could distinguish high-risk PCa patients from the rest of patients better than the PHI (area under the curve (AUC) of 0.971 vs. 0.840), although the PHI correlated better with the Gleason score than the % α2,3-SA. The combination of both markers increased the AUC up to 0.985 resulting in 100% sensitivity and 94.7% specificity to differentiate high-risk PCa from the other low and intermediate-risk PCa and BPH patients. These results suggest that both serum markers complement each other and offer an improved diagnostic tool to identify high-risk PCa, which is an important requirement for guiding treatment decisions.

Indexed as

Biomarkers, TumorAdultAgedFollow-Up StudiesGlycosylationHumansMaleMiddle AgedN-Acetylneuraminic AcidNeoplasm GradingProstate-Specific AntigenProstatic HyperplasiaProstatic NeoplasmsRecurrenceROC CurveSeverity of Illness IndexBiomarkers, TumorN-Acetylneuraminic AcidProstate-Specific AntigendiagnosisglycosylationPHIproPSAprostate cancerprostate specific antigenα2,3-sialic acid

Identifiers

PMID28420168
PMCPMC5412429

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Registered trials

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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.