Identifying the Best Candidates for Prostate-specific Membrane Antigen Positron Emission Tomography/Computed Tomography as the Primary Staging Approach Among Men with High-risk Prostate Cancer and Negative Conventional Imaging.

Conventional imaging Gleason grade Nomogram Overall upstaging Percent positive core Positron emission tomography/computed tomography Prostate cancer Prostate-specific membrane antigen Staging

Journal

European urology oncology
ISSN: 2588-9311
Titre abrégé: Eur Urol Oncol
Pays: Netherlands
ID NLM: 101724904

Informations de publication

Date de publication:
02 2022
Historique:
received: 04 09 2020
revised: 19 01 2021
accepted: 28 01 2021
pubmed: 20 2 2021
medline: 6 5 2022
entrez: 19 2 2021
Statut: ppublish

Résumé

Prostate-specific membrane antigen (PSMA) positron emission tomography (PET)/computed tomography (CT) is an emerging imaging modality with greater sensitivity and specificity over conventional imaging for prostate cancer (PCa) staging. Using data from two prospective trials (NCT03368547 and NCT04050215), we explored predictors of overall upstaging (nodal and metastatic) by PSMA PET/CT among patients with cN0M0 National Comprehensive Cancer Network high-risk PCa on conventional imaging (n = 213). Overall, 21.1%, 8.9%, and 23.9% of patients experienced nodal, metastatic, and overall upstaging, respectively, without histologic confirmation. On multivariable analysis, Gleason grade group (GG) and percent positive core (PPC) on systematic biopsy significantly predict overall upstaging (odds ratio [OR] 2.15, 95% confidence interval [CI] 1.33-3.45; p =  0.002; and OR 1.03, 95% CI 1.01-1.04; p <  0.001). Overall upstaging was significantly more frequent among men with GG 5 disease (33.0% vs. 17.6%; p =  0.0097) and PPC ≥50% (33.0% vs 15.0%; p =  0.0020). We constructed a nomogram that predicts overall upstaging using initial prostate-specific antigen, PPC, GG, and cT stage, with coefficients estimated from a standard logistic regression model (using maximum likelihood estimation). It is internally validated with a tenfold cross-validated area under the receiver operating characteristic curve estimated at 0.74 (95% CI 0.67-0.82). In our cohort, 90% of patients who had a nomogram-estimated risk below the cutoff of 22% for overall upstaging could have been spared PSMA PET/CT as our model correctly predicted no upstaging. In other words, the predictive model only missed 10% of patients who would otherwise have benefitted from PSMA PET/CT. PATIENT SUMMARY: We analyzed predictors of overall upstaging (lymph node or/and metastasis) by prostate-specific membrane antigen (PSMA) positron emission tomography/computed tomography (PET/CT) from conventional imaging in men with high-risk prostate cancer undergoing initial staging deemed free of disease in the lymph nodes and distant metastasis by conventional imaging techniques. We found that the pathologic grade and disease burden in a prostate biopsy are associated with upstaging. We also developed a tool that predicts the probability of upstaging according to an individual patient's characteristics. Our study may help in defining patient groups who are most likely to benefit from the addition of a PSMA PET/CT scan.

Identifiants

pubmed: 33602654
pii: S2588-9311(21)00030-4
doi: 10.1016/j.euo.2021.01.006
pmc: PMC10262977
mid: NIHMS1793748
pii:
doi:

Banques de données

ClinicalTrials.gov
['NCT03368547', 'NCT04050215']

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

100-103

Subventions

Organisme : NCI NIH HHS
ID : P50 CA092131
Pays : United States

Informations de copyright

Copyright © 2021 European Association of Urology. Published by Elsevier B.V. All rights reserved.

Références

Lancet. 2020 Apr 11;395(10231):1208-1216
pubmed: 32209449
J Natl Compr Canc Netw. 2010 Feb;8(2):162-200
pubmed: 20141676
Eur Urol. 2020 Apr;77(4):403-417
pubmed: 30773328
Eur Urol. 2020 Jan;77(1):3-10
pubmed: 30992160
Urol Oncol. 2020 Sep;38(9):735.e9-735.e15
pubmed: 32654951
J Nucl Med. 2021 Feb;62(2):214-220
pubmed: 32444374
N Engl J Med. 2020 Mar 5;382(10):917-928
pubmed: 32130814
Eur Urol. 2020 Feb;77(2):201-208
pubmed: 31718822

Auteurs

Ting Martin Ma (TM)

Department of Radiation Oncology, UCLA Medical Center, Los Angeles, CA, USA.

Andrei Gafita (A)

Ahmanson Translational Theranostics Division, Department of Molecular and Medical Pharmacology, UCLA Medical Center, Los Angeles, CA, USA.

David Shabsovich (D)

Department of Radiation Oncology, UCLA Medical Center, Los Angeles, CA, USA.

Jesus Juarez (J)

Department of Radiation Oncology, UCLA Medical Center, Los Angeles, CA, USA.

Tristan R Grogan (TR)

Statistics Core, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.

Pan Thin (P)

Ahmanson Translational Theranostics Division, Department of Molecular and Medical Pharmacology, UCLA Medical Center, Los Angeles, CA, USA.

Wesley Armstrong (W)

Ahmanson Translational Theranostics Division, Department of Molecular and Medical Pharmacology, UCLA Medical Center, Los Angeles, CA, USA.

Ida Sonni (I)

Ahmanson Translational Theranostics Division, Department of Molecular and Medical Pharmacology, UCLA Medical Center, Los Angeles, CA, USA.

Kathleen Nguyen (K)

Ahmanson Translational Theranostics Division, Department of Molecular and Medical Pharmacology, UCLA Medical Center, Los Angeles, CA, USA.

Vincent Lok (V)

Ahmanson Translational Theranostics Division, Department of Molecular and Medical Pharmacology, UCLA Medical Center, Los Angeles, CA, USA.

Robert E Reiter (RE)

Department of Urology, UCLA Medical Center, Los Angeles, CA, USA.

Matthew B Rettig (MB)

Department of Urology, UCLA Medical Center, Los Angeles, CA, USA; Department of Medicine, Division of Hematology-Oncology, UCLA Medical Center, Los Angeles, CA, USA.

Michael L Steinberg (ML)

Department of Radiation Oncology, UCLA Medical Center, Los Angeles, CA, USA.

Patrick A Kupelian (PA)

Department of Radiation Oncology, UCLA Medical Center, Los Angeles, CA, USA.

David D Yang (DD)

Harvard Radiation Oncology Program, Harvard Medical School, Boston, MA, USA.

Vinayak Muralidhar (V)

Harvard Radiation Oncology Program, Harvard Medical School, Boston, MA, USA.

Carissa Chu (C)

Department of Urology, UCSF Medical Center, San Francisco, CA, USA.

Felix Feng (F)

Department of Urology, UCSF Medical Center, San Francisco, CA, USA; Department of Radiation Oncology, UCSF Medical Center, San Francisco, CA, USA.

Ricky Savjani (R)

Department of Radiation Oncology, UCLA Medical Center, Los Angeles, CA, USA.

Jie Deng (J)

Department of Radiation Oncology, UCLA Medical Center, Los Angeles, CA, USA.

Neil R Parikh (NR)

Department of Radiation Oncology, UCLA Medical Center, Los Angeles, CA, USA.

Nicholas G Nickols (NG)

Department of Radiation Oncology, UCLA Medical Center, Los Angeles, CA, USA.

David Elashoff (D)

Statistics Core, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.

Johannes Czernin (J)

Ahmanson Translational Theranostics Division, Department of Molecular and Medical Pharmacology, UCLA Medical Center, Los Angeles, CA, USA.

Jeremie Calais (J)

Ahmanson Translational Theranostics Division, Department of Molecular and Medical Pharmacology, UCLA Medical Center, Los Angeles, CA, USA.

Amar U Kishan (AU)

Department of Radiation Oncology, UCLA Medical Center, Los Angeles, CA, USA. Electronic address: aukishan@mednet.ucla.edu.

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Classifications MeSH