Evidence map›Paper›PMID 27995111›Full record

ReviewProstate international2016

Prostate cancer biomarkers: Are we hitting the mark?

Shannon McGrath, Daniel Christidis, Marlon Perera, Sung Kyu Hong, Todd Manning, Ian Vela, Nathan Lawrentschuk

Abstract readReview
In one paragraph

Review in Prostate international, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

41 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Follow-Up Biomarkers in the Evolution of Prostate Cancer, Levels ofInternational journal of molecular sciences · 2022
    Article
  10. Article
  11. Article
  12. Observational
  13. Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Review
  19. Article
  20. Observational
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

7 authors.

Shannon McGrathDepartment of Surgery, University of Melbourne, Austin Health, Melbourne, Australia.
Daniel ChristidisDepartment of Surgery, University of Melbourne, Austin Health, Melbourne, Australia.
Marlon PereraDepartment of Surgery, University of Melbourne, Austin Health, Melbourne, Australia.
Sung Kyu HongDepartment of Urology, Seoul National University Bundang Hospital, Seoul, South Korea.
Todd ManningDepartment of Surgery, University of Melbourne, Austin Health, Melbourne, Australia.
Ian VelaDepartment of Urology, Princess Alexandra Hospital, Brisbane, Queensland, Australia; Queensland University of Technology, Australian Prostate Cancer Research Center-Queensland, Brisbane, Australia.
Nathan LawrentschukDepartment of Surgery, University of Melbourne, Austin Health, Melbourne, Australia; Department of Surgical Oncology, Peter MacCallum Cancer Centre, Melbourne, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeLocalised prostate cancer diagnosis and management is increasingly complex due to its heterogeneous progression and prognostic subgroups. Pitfalls in current screening and diagnosis have prompted the search for accurate and invasive molecular and genetic biomarkers for prostate cancer. Such tools may be able to distinguish clinically significant cancers from less aggressive variants to assist with prostate cancer risk stratification and guide decisions and healthcare algorithms. We aimed to provide a comprehensive review of the current prostate cancer biomarkers available and in development.

methodsMEDLINE and EMBASE databases searches were conducted to identify articles pertaining to the use of novel biomarkers for prostate cancer.

resultsA growing number of novel biomarkers are currently under investigation. Such markers include urinary biomarkers, serology-based markers or pathological tissue assessments of molecular and genetic markers. While limited clinical data is present for analysis, early results appear promising. Specifically, a combination of serum and urinary biomarkers (Serum PSA + Urinary PCA3 + Urinary TMPRSS2-ERG fusion) appears to provide superior sensitivity and specificity profiles compared to traditional diagnostic approaches (AUC 0.88).

conclusionThe accurate diagnosis and risk stratification of prostate cancer is critical to ensure appropriate intervention. The development of non-invasive biomarkers can add to the information provided by current screening practices and allows for individualised risk stratification of patients. The use of these biomarkers appears to increase the sensitivity and specificity of diagnosis of prostate cancer. Further studies are necessary to define the appropriate use and time points of each biomarker and their effect on the management algorithm of prostate cancer.

Indexed as

BiomarkerDiagnosisProstate cancerProstate specific antigen

Identifiers

PMID27995111
PMCPMC5153438

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.