Evidence map›Paper›PMID 40115018›Full record

ReviewFrontiers in oncology2025

New biomarkers and multiplex tests for diagnosis of aggressive prostate cancer and therapy management.

Milan Kral, Daniela Kurfurstova, Pavel Zemla, Martin Elias, Jan Bouchal

Abstract readReview
In one paragraph

Review in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Biomarkers in Localized Prostate Cancer: From Diagnosis to Treatment.International journal of molecular sciences · 2025
    Review
  4. Deletions ofBiomolecules · 2025
    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.

Milan KralDepartment of Urology, Medical Faculty, Palacký University and University Hospital Olomouc, Olomouc, Czechia.
Daniela KurfurstovaDepartment of Clinical and Molecular Pathology, Medical Faculty, Palacký University and University Hospital Olomouc, Olomouc, Czechia.
Pavel ZemlaDepartment of Urology, Medical Faculty, Palacký University and University Hospital Olomouc, Olomouc, Czechia.
Martin EliasDepartment of Clinical and Molecular Pathology, Medical Faculty, Palacký University and University Hospital Olomouc, Olomouc, Czechia.
Jan BouchalDepartment of Clinical and Molecular Pathology, Medical Faculty, Palacký University and University Hospital Olomouc, Olomouc, Czechia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite improving diagnostic possibilities, the incidence of prostate cancer is increasing, but we are not able to reduce the mortality rate. While PSA, 4K score, PCA3 and other urinary markers, ExoDX, SelectMDX, Confirm MDx or MiPS tests are used to identify potential prostate cancer carriers, Decipher, Prolaris or Oncotype DX tests are used to assess the aggressiveness of proven cancer in order to stratify patients for early or delayed treatment. More modern forms of treatment for advanced disease include second-generation antiandrogens and PARP inhibitors. By assessing genetic mutations (e.g. BRCA1, BRCA2 genes, single nucleotide polymorphism) or the presence of splice variants of the androgen receptor (ARV7), we are able to identify patients in whom the planned treatment may be expected to be ineffective and thus choose other treatment modalities. In the present review article, we offer a comprehensive overview of current diagnostic tests that find application in the diagnosis of early and advanced prostate cancer.

Indexed as

biomarkercancerprognosisprostatetesttreatment

Identifiers

PMID40115018
PMCPMC11923436

What OpenQuestion holds

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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.