Individual risk prediction of high grade prostate cancer based on the combination between total prostate-specific antigen (PSA) and free to total PSA ratio.


Journal

Clinical chemistry and laboratory medicine
ISSN: 1437-4331
Titre abrégé: Clin Chem Lab Med
Pays: Germany
ID NLM: 9806306

Informations de publication

Date de publication:
27 06 2023
Historique:
received: 04 01 2023
accepted: 19 01 2023
medline: 30 5 2023
pubmed: 28 1 2023
entrez: 27 1 2023
Statut: epublish

Résumé

Clinical practice guidelines endorse the stratification of prostate cancer (PCa) risk according to individual total prostate-specific antigen (tPSA) values and age to enhance the individual risk-benefit ratio. We defined two nomograms to predict the individual risk of high and low grade PCa by combining the assay of tPSA and %free/tPSA (%f/tPSA) in patients with a pre-biopsy tPSA between 2 and 10 μg/L. The study cohort consisted of 662 patients that had fPSA, tPSA, and a biopsy performed (41.3% with a final diagnosis of PCa). Logistic regression including age, tPSA and %f/tPSA was used to model the probability of having high or low grade cancer by defining 3 outcome levels: no PCa, low grade (International Society of Urological Pathology grade, ISUP<3) and high grade PCa (ISUP≥3). The nomogram identifying patients with: (a) high vs. those with low grade PCa and without the disease showed a good discriminating capability (∼80%), but the calibration showed a risk of underestimation for predictive probabilities >30% (a considerable critical threshold of risk), (b) ISUP<3 vs. those without the disease showed a discriminating capability of 63% and overestimates predictive probabilities >50%. In ISUP 5 a possible loss of PSA immunoreactivity has been observed. The estimated risk of high or low grade PCa by the nomograms may be of aid in the decision-making process, in particular in the case of critical comorbidities and when the digital rectal examinations are inconclusive. The improved characterization of the risk of ISUP≥3 might enhance the use for magnetic resonance imaging in this setting.

Identifiants

pubmed: 36704961
pii: cclm-2023-0008
doi: 10.1515/cclm-2023-0008
doi:

Substances chimiques

Prostate-Specific Antigen EC 3.4.21.77

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1327-1334

Informations de copyright

© 2023 Walter de Gruyter GmbH, Berlin/Boston.

Références

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Auteurs

Simona Ferraro (S)

Center of Functional Genomics and Rare Diseases, Department of Pediatrics, Buzzi Children's Hospital, Milan, Italy.

Davide Biganzoli (D)

Medical Statistics Unit, Department of Biomedical and Clinical Sciences, "Luigi Sacco" University Hospital, Università degli Studi di Milano, Milan, Italy.

Roberta Simona Rossi (RS)

Unità Operativa Anatomia Patologica, ASST Fatebenefratelli-Sacco, Ospedale 'Luigi Sacco', Milan, Italy.

Franco Palmisano (F)

Urologia, ASST Fatebenefratelli-Sacco, Ospedale 'Luigi Sacco', Milan, Italy.

Marco Bussetti (M)

Immunoematologia e Medicina trasfusionale Ospedale Castelli, Verbania, Italy.

Enrica Verzotti (E)

Urologia, ASST Fatebenefratelli-Sacco, Ospedale 'Luigi Sacco', Milan, Italy.

Andrea Gregori (A)

Urologia, ASST Fatebenefratelli-Sacco, Ospedale 'Luigi Sacco', Milan, Italy.

Filippo Bianchi (F)

Unità Operativa Anatomia Patologica, ASST Fatebenefratelli-Sacco, Ospedale Fatebenefratelli, Milan, Italy.

Marco Maggioni (M)

Unità Operativa Anatomia Patologica, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.

Ferruccio Ceriotti (F)

Laboratorio Analisi, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.

Cristina Cereda (C)

Center of Functional Genomics and Rare Diseases, Department of Pediatrics, Buzzi Children's Hospital, Milan, Italy.
Pediatric Department, Buzzi Children's Hospital, Milan, Italy.

Gianvincenzo Zuccotti (G)

Pediatric Department, Buzzi Children's Hospital, Milan, Italy.
Department of Biomedical and Clinical Science, University of Milan, Milan, Italy.

Peter Kavsak (P)

Department of Pathology and Molecular Medicine, McMaster University, Hamilton, ON, Canada.

Mario Plebani (M)

Department of Medicine-DIMED, University of Padova, Padova, Italy.

Giuseppe Marano (G)

Medical Statistics Unit, Department of Biomedical and Clinical Sciences, "Luigi Sacco" University Hospital, Università degli Studi di Milano, Milan, Italy.

Elia Mario Biganzoli (EM)

Medical Statistics Unit, Department of Biomedical and Clinical Sciences, "Luigi Sacco" University Hospital, Università degli Studi di Milano, Milan, Italy.

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