Individual Patient Data Meta-analysis of Discrimination of the Four Kallikrein Panel Associated With the Inclusion of Prostate Volume.


Journal

Urology
ISSN: 1527-9995
Titre abrégé: Urology
Pays: United States
ID NLM: 0366151

Informations de publication

Date de publication:
11 2021
Historique:
received: 05 05 2021
revised: 03 08 2021
accepted: 12 08 2021
pubmed: 28 8 2021
medline: 1 2 2022
entrez: 27 8 2021
Statut: ppublish

Résumé

To assess whether adding prostate volume to the kallikrein panel improves discrimination for ISUP Grade Group 2 or higher (GG2+) disease, as some men may have volume measurements available at the time of blood draw. While prostate volume predicts biopsy outcome, it requires an imaging procedure for measurement. The four kallikrein panel - commercially available as the 4Kscore - predicts risk of GG2+ disease and requires only a blood draw. A total of 9131 patients with available prostate volume and total PSA ≤25 ng/ml from 5 historical (sextant biopsy, pre-ISUP 2005 grading) and 4 contemporary cohorts (10+ cores, ISUP 2005 grading). Previously published kallikrein panel models were used to predict risk of GG2+. Volume was added to the model in each cohort and change in discrimination was meta-analyzed. Increased prostate volume was associated with decreased risk of GG2+ disease after controlling for the kallikrein panel in 7/9 cohorts. However, kallikrein panel discrimination (0.817, 95% CI 0.802, 0.831) was not improved after including volume (AUC difference 0.002, 95% CI -0.003, 0.006). Heterogeneity (P <.0001) was driven by an AUC increase in 1 cohort of academic cancer centers (0.044, 95% CI 0.025, 0.064), with no evidence of heterogeneity after excluding this cohort (P = .15). The kallikrein panel provides a non-invasive approach to assess the risk of high-grade prostate cancer. Our results do not justify the inclusion of prostate volume in the four kallikrein panel. There is some evidence that the predictive value of prostate volume is provider dependent: further research is needed to address this question.

Identifiants

pubmed: 34450175
pii: S0090-4295(21)00793-7
doi: 10.1016/j.urology.2021.08.014
pmc: PMC8671182
mid: NIHMS1735472
pii:
doi:

Substances chimiques

KLK2 protein, human EC 3.4.21.-
Kallikreins EC 3.4.21.-
Prostate-Specific Antigen EC 3.4.21.77

Types de publication

Journal Article Meta-Analysis Multicenter Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

102-106

Subventions

Organisme : NCI NIH HHS
ID : P30 CA008748
Pays : United States
Organisme : NCI NIH HHS
ID : P50 CA092629
Pays : United States

Informations de copyright

Copyright © 2021 Elsevier Inc. All rights reserved.

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Auteurs

Emily A Vertosick (EA)

Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY.

Stephen Zappala (S)

Andover Urology, Andover, MA, Tufts University School of Medicine, Boston, MA.

Sanoj Punnen (S)

Department of Urology, University of Miami and Sylvester Comprehensive Cancer Center, Miami, FL.

Jonas Hugosson (J)

Department of Urology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Göteborg, Göteborg, Sweden.

Stephen A Boorjian (SA)

Department of Urology, Mayo Clinic, Rochester, MN.

Alexander Haese (A)

Martini-Clinic Prostate Cancer Center, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.

Peter Carroll (P)

Department of Urology, UCSF Helen Diller Family Comprehensive Cancer Center, San Francisco, CA.

Matthew Cooperberg (M)

Department of Urology, UCSF Helen Diller Family Comprehensive Cancer Center, San Francisco, CA; Department of Epidemiology and Statistics, UCSF Helen Diller Family Comprehensive Cancer Center, San Francisco, CA.

Anders Bjartell (A)

Department of Urology, Skåne University Hospital Malmö, Lund University, Lund, Sweden.

Hans Lilja (H)

Departments of Laboratory Medicine, Surgery, and Medicine, Memorial Sloan Kettering Cancer Center, New York, NY; Department of Translational Medicine, Lund University, Malmö, Sweden.

Andrew J Vickers (AJ)

Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY. Electronic address: vickersa@mskcc.org.

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Classifications MeSH