Evidence map›Paper›PMID 40844611›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2025

Evaluation of the 4Kscore Test in Relation to Subsequent Risk of Aggressive Prostate Cancer in the European Prospective Investigation into Cancer and Nutrition.

K Smith-Byrne, Georgina K Fensom, Urwah Noor, Eleanor L Watts, Naomi E Allen, Pilar Amiano, María-Dolores Chirlaque, Marta Crous-Bou, Marcela Guevara Eslava, Domenico Palli and 12 more

Abstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive 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. Article
  3. Article
  4. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

22 authors.

K Smith-Byrne *Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-1932-7463
Georgina K Fensom *Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.ORCID 0000-0003-0979-4436
Urwah NoorCancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.ORCID 0009-0007-3885-5898
Eleanor L WattsCancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.ORCID 0000-0001-9229-2589
Naomi E AllenBig Data Institute, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.ORCID 0000-0003-1938-5038
Pilar AmianoPublic Health Division of Gipuzkoa, BioDonostia Research Institute, Donostia San Sebastian, Spain.ORCID 0000-0003-3986-7026
María-Dolores ChirlaqueCIBER Epidemiology and Public Health (CIBERESP), Madrid, Spain.ORCID 0000-0001-9242-3040
Marta Crous-BouUnit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology (ICO), L'Hospitalet de Llobregat, Barcelona, Spain.ORCID 0000-0003-1493-4288
Marcela Guevara EslavaCIBER Epidemiology and Public Health (CIBERESP), Madrid, Spain.ORCID 0000-0001-9242-6364
Domenico PalliCancer Risk Factors and Life-Style Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy.ORCID 0000-0002-5558-2437
Verena A KatzkeDivision of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.ORCID 0000-0002-6509-6555
Carlotta SacerdoteUnit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital, Turin, Italy.ORCID 0000-0002-8008-5096
Maria-Jose SánchezEscuela Andaluza de Salud Pública (EASP), Granada, Spain.ORCID 0000-0003-4817-0757
Matthias B SchulzeDepartment of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.ORCID 0000-0002-0830-5277
Sabina SieriEpidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milano, Italy.ORCID 0000-0001-5201-172X
Rosario TuminoCancer Registry and Histopathology Department, Provincial Health Authority (ASP), Ragusa, Italy.ORCID 0000-0003-2666-414X
Konstantinos K TsilidisDepartment of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece.ORCID 0000-0002-8452-8472
Rudolf KaaksDivision of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.ORCID 0000-0003-3751-3929
Marc J GunterSchool of Public Health, Imperial College London, London, United Kingdom.ORCID 0000-0001-5472-6761
Elio RiboliSchool of Public Health, Imperial College London, London, United Kingdom.ORCID 0000-0001-6795-6080
Timothy J KeyCancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.ORCID 0000-0003-2294-307X
Ruth C TravisCancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-9571-0763

Funding

Cancer Research UK (CRUK) C8221/A29017
6 · The paper itself

Abstract

backgroundPSA is central to referrals for prostate biopsy but has low specificity for aggressive prostate cancer. This study evaluates the 4Kscore (OPKO Diagnostics) versus total PSA in predicting short- and long-term risks of aggressive prostate cancer.

methodsBaseline blood samples from 1,658 men diagnosed with prostate cancer (median diagnosis time = 8.6 years) and 1,658 matched controls in the European Prospective Investigation into Cancer and Nutrition were analyzed. Discrimination for the 4Kscore and total PSA was assessed using the AUC with 95% confidence intervals (CI) via bootstrapping.

resultsFor high-grade tumors, AUCs were 0.69 (95% CI, 0.66-0.72) for the 4Kscore and 0.75 (95% CI, 0.73-0.78) for total PSA. For advanced-stage disease, AUCs were 0.71 (95% CI, 0.66-0.75) for the 4Kscore and 0.77 (95% CI, 0.73-0.80) for total PSA. Similar findings were observed for other aggressive cancer endpoints. Among men with PSA >2 ng/mL, the 4Kscore had better discrimination than PSA for overall prostate cancer, high-grade disease, and prostate cancer death but only in men <60 years at recruitment.

conclusionsIn this large European study, the 4Kscore did not significantly improve the prediction of clinically significant prostate cancer compared with total PSA, except in younger men with elevated PSA. IMPACT: The findings underscore the limited utility of the 4Kscore in improving medium- to longer-term risk prediction over PSA, with potential benefits restricted to younger men with elevated PSA.

Indexed as

Prostate-Specific AntigenProstatic NeoplasmsAgedCase-Control StudiesEuropeHumansMaleMiddle AgedNeoplasm GradingProspective StudiesRisk FactorsProstate-Specific Antigen

Identifiers

PMID40844611
PMCPMC12580810

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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.