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McLeod OD, Palsdottir T, Walz J, Tilki D, Briganti A, Stabile A, Vigmostad MN, Mortezavi A, Elyan A, Dudderidge T, Govers T, Grönberg H, Vigneswaran H. Cost Analysis of Prostate Cancer Care Using a Biomarker-enhanced Diagnostic Strategy with Stockholm3. EUR UROL SUPPL 2024; 66:26-32. [PMID: 39027655 PMCID: PMC11254591 DOI: 10.1016/j.euros.2024.05.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/20/2024] [Indexed: 07/20/2024] Open
Abstract
Background and objective Building on previous research demonstrating better prostate cancer (PC) diagnostics via a biomarker-enhanced approach, this study focuses on cost analysis of PC care using the Stockholm3 test. We assessed the economic impact in European health care systems using real-world evidence for diagnostic outcomes and relevant costs. Methods We evaluated two PC diagnostic strategies: (1) the conventional prostate-specific antigen (PSA) strategy with magnetic resonance imaging (MRI) and (2) PSA testing with a reflex to biomarkers at PSA ≥1.5 ng/ml in guiding decisions to perform MRI. Data from the Swedish National Prostate Cancer Register and Capio St. Göran Hospital provided real-world evidence, supplemented by health economic modeling. A comprehensive cost analysis was conducted using a Markov model for treatment pathways for four PC disease states and overall spending, for which costs from various European health care systems were used. A deterministic sensitivity analysis was performed across different cost and diagnostic scenarios. Key finding and limitations The average cost for the four disease states was €2 182 for benign disease, €10 023 for low-grade disease, €13 073 for intermediate- to high-grade localized or locally advance disease, and €271 210 for metastatic disease. The overall spending was €358 239 (7.7%) lower per 1000 men tested in the biomarker-enhanced strategy in comparison to the PSA strategy. The primary cost saving was attributed to lower treatment expenses for metastatic disease. Sensitivity analysis affirmed the robustness of the findings across various diagnostic and treatment scenarios. Conclusions and clinical implications Biomarker-enhanced diagnostic strategies may reduce health care costs for PC management and are likely to improve quality-adjusted life years in a scenario in which metastatic disease is reduced. Patient summary We explored different ways to detect prostate cancer more cost-effectively. We found that using a specific blood test, called Stockholm3, after a PSA (prostate-specific antigen) test to decide if an MRI scan (magnetic resonance imaging) is necessary could save money, mainly by identifying localized cancer earlier and reducing the need for expensive treatments for advanced cancer.
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Affiliation(s)
- Olga Dianna McLeod
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Thorgerdur Palsdottir
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Jochen Walz
- Department of Urology, Institut Paoli-Calmettes Cancer Center, Marseille, France
| | - Derya Tilki
- Martini-Klinik Prostate Cancer Center, University Hospital Hamburg Eppendorf, Hamburg, Germany
| | - Alberto Briganti
- Division of Oncology, Unit of Urology, IRCCS Ospedale San Raffaele, Vita-Salute San Raffaele University, Milan, Italy
| | - Armando Stabile
- Division of Oncology, Unit of Urology, IRCCS Ospedale San Raffaele, Vita-Salute San Raffaele University, Milan, Italy
| | | | - Ashkan Mortezavi
- Department of Urology, University Hospital Basel, Basel, Switzerland
| | - Anas Elyan
- Department of Urology, University Hospital Basel, Basel, Switzerland
| | - Tim Dudderidge
- Department of Urology, University Hospital Southampton, University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Tim Govers
- Medip Analytics BV, Nijmegen, The Netherlands
| | - Henrik Grönberg
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Hari Vigneswaran
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
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Zhu M, Fu Q, Zang Y, Shao Z, Zhou Y, Jiang Z, Wang W, Shi B, Chen S, Zhu Y. Different diagnostic strategies combining prostate health index and magnetic resonance imaging for predicting prostate cancer: A multicentre study. Urol Oncol 2024; 42:159.e17-159.e23. [PMID: 38480077 DOI: 10.1016/j.urolonc.2024.02.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2023] [Revised: 02/06/2024] [Accepted: 02/23/2024] [Indexed: 04/15/2024]
Abstract
OBJECTIVE To explore how prostate health index (PHI) and multiparametric magnetic resonance imaging (mpMRI) should be used in concert to improve diagnostic capacity for clinically significant prostate cancers (CsCaP) in patients with prostate-specific antigen (PSA) between 4 and 20 ng/ml. METHODS About 426 patients fulfilling the inclusion criteria were included in this study. Univariable and multivariable logistic analyses were performed to analyze the association between the clinical indicators and CaP/CsCaP. We used the Delong test to compare the differences in the area under the curve (AUC) values of four models for CaP and CsCaP. Decision curve analysis (DCA) and calibration plots were used to assess predictive performance. We compared clinical outcomes of different diagnostic strategies constructed using different combinations of the models by the chi-square test and the McNemar test. RESULTS The AUC of PHI-MRI (a risk prediction model based on PHI and mpMRI) was 0.859, which was significantly higher than those of PHI (AUC = 0.792, P < 0.001) and mpMRI (AUC = 0.797, P < 0.001). PHI-MRI had a higher net benefit on DCA for predicting CaP and CsCaP in comparison to PHI and mpMRI. Adding the PHI-MRI in diagnostic strategies for CsCaP, such as use PHI-MRI alone or sequential use of PHI followed by PHI-MRI, could reduce the number of biopsies by approximately 20% compared to use PHI followed by mpMRI (256 vs 316, 257 vs 316, respectively). CONCLUSIONS The PHI-MRI model was superior to PHI and MRI alone. It may reduce the number of biopsies and ensure the detection rate of CsCaP under an appropriate sensitivity at the cost of an increased number of MRI scans.
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Affiliation(s)
- Meikai Zhu
- Department of Urology, Qilu Hospital of Shandong University, Jinan, China
| | - Qiang Fu
- Department of Urology, Shandong Provincial Hospital, Jinan, China
| | - Yunjiang Zang
- Department of Urology, Weifang People's Hospital, Weifang, China
| | - Zhiqiang Shao
- Department of Urology, Linyi People's Hospital, Linyi, China
| | - Yongheng Zhou
- Department of Urology, Qilu Hospital of Shandong University, Jinan, China
| | - Zhiwen Jiang
- Department of Urology, Qilu Hospital of Shandong University, Jinan, China
| | - Wenfu Wang
- Department of Urology, Qilu Hospital of Shandong University, Jinan, China
| | - Benkang Shi
- Department of Urology, Qilu Hospital of Shandong University, Jinan, China
| | - Shouzhen Chen
- Department of Urology, Qilu Hospital of Shandong University, Jinan, China
| | - Yaofeng Zhu
- Department of Urology, Qilu Hospital of Shandong University, Jinan, China.
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Garg S, Sachdeva A, Peeters M, McClements J. Point-of-Care Prostate Specific Antigen Testing: Examining Translational Progress toward Clinical Implementation. ACS Sens 2023; 8:3643-3658. [PMID: 37830899 PMCID: PMC10616866 DOI: 10.1021/acssensors.3c01402] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Accepted: 09/18/2023] [Indexed: 10/14/2023]
Abstract
Prostate cancer (PCa) is the second most common male cancer and is attributable to over 375,000 deaths annually. Prostate specific antigen (PSA) is a key biomarker for PCa and therefore measuring patient PSA levels is an important aspect of the diagnostic pathway. Automated immunoassays are currently utilized for PSA analysis, but they require a laboratory setting with specialized equipment and trained personnel. This results in high diagnostic costs, extended therapeutic turnaround times, and restrictions on testing capabilities in resource-limited settings. Consequently, there is a strong drive to develop point-of-care (PoC) PSA tests that can offer accurate, low-cost, and rapid results at the time and place of the patient. However, many emerging PoC tests experience a trade-off between accuracy, affordability, and accessibility which distinctly limits their translational potential. This review comprehensively assesses the translational advantages and limitations of emerging laboratory-level and commercial PoC tests for PSA determination. Electrochemical and optical PSA sensors from 2013 to 2023 are systematically examined. Furthermore, we suggest how the translational potential of emerging tests can be optimized to achieve clinical implementation and thus improve PCa diagnosis globally.
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Affiliation(s)
- Saweta Garg
- Merz
Court, School of Engineering, Newcastle
University, Claremont Road, NE1 7RU Newcastle upon Tyne, U.K.
- Department
of Chemical Engineering and Analytical Science, School of Engineering, University of Manchester, Manchester M20 4BX, U.K.
| | - Ashwin Sachdeva
- Division
of Cancer Sciences, University of Manchester, Wilmslow Road, Manchester M20 4BX, U.K.
- Department
of Urology, The Christie NHS Foundation
Trust, Manchester M20 4BX, U.K.
| | - Marloes Peeters
- Merz
Court, School of Engineering, Newcastle
University, Claremont Road, NE1 7RU Newcastle upon Tyne, U.K.
| | - Jake McClements
- Merz
Court, School of Engineering, Newcastle
University, Claremont Road, NE1 7RU Newcastle upon Tyne, U.K.
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4
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Brant A, Weinstein IC, Lewicki P, Zhu A, Johnson JP, Sze C, Shoag JE. Insurer coverage of prostate cancer biomarkers. Urol Oncol 2023; 41:324.e9-324.e12. [PMID: 37225635 DOI: 10.1016/j.urolonc.2023.04.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Revised: 04/13/2023] [Accepted: 04/24/2023] [Indexed: 05/26/2023]
Abstract
INTRODUCTION Several recently-developed prostate cancer (CaP) biomarkers are recommended per national guidelines, yet feasibility of obtaining these tests is unknown. We used a national database to assess insurance coverage of CaP biomarkers. MATERIALS AND METHODS Insurance policies regarding 4K Score, ExoDx, My Prostate Score, Prostate Cancer Antigen 3, Prostate Health Index, and SelectMDx as of January 1, 2022 were extracted from the policy reporter database. Coverage was defined as a biomarker being deemed medically necessary, conditionally covered, or covered with prior authorization. Overall rates of biomarker coverage were compared by insurance type and region using Chi-squared test. SelectMDx was not covered by any queried policies and was omitted from analysis. RESULTS A total of 186 insurance plans were identified among 131 payers. Of the 186 plans, 109 (59%) covered at least one biomarker, with prior authorization required for 38 (35%) of these plans. Prostate Cancer Antigen 3 and 4K Score had higher rates of coverage compared to ExoDx, Prostate Health Index, and My Prostate Score (52% and 43% vs. 26%, 26%, and 5%, respectively, P < 0.01). Medicare plans had higher rates of coverage compared to non-Medicare plans (80% Medicare vs. 17% commercial, 15% federal employer, and 13% Medicaid, P < 0.01), and nationwide plans had higher coverage rates compared to regional plans (43% nationwide vs. 32% midwest, 27% northeast, 25% south, 24% west, P < 0.01). Covered biomarkers under Medicare plans were less likely to require prior authorization compared to those covered by non-Medicare plans (12% Medicare vs. 63% commercial, 100% federal employer, 70% Medicaid, P < 0.01). CONCLUSIONS Coverage of novel CaP biomarkers are relatively robust for Medicare plans but sparse for non-Medicare plans, with the majority of non-Medicare plans requiring prior authorization. Non-Medicare eligible men may face significant barriers to obtaining these tests.
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Affiliation(s)
- Aaron Brant
- Department of Urology, New York-Presbyterian Hospital, Weill Cornell Medical College, New York, NY.
| | - Ilon C Weinstein
- Department of Urology, University Hospitals Cleveland Medical Center, Case Western Reserve University School of Medicine, Cleveland, OH
| | - Patrick Lewicki
- Department of Urology, New York-Presbyterian Hospital, Weill Cornell Medical College, New York, NY
| | - Alec Zhu
- Department of Urology, New York-Presbyterian Hospital, Weill Cornell Medical College, New York, NY
| | - Jeffrey P Johnson
- Department of Urology, New York-Presbyterian Hospital, Weill Cornell Medical College, New York, NY
| | - Christina Sze
- Department of Urology, New York-Presbyterian Hospital, Weill Cornell Medical College, New York, NY
| | - Jonathan E Shoag
- Department of Urology, University Hospitals Cleveland Medical Center, Case Western Reserve University School of Medicine, Cleveland, OH
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Diagnostic Efficiency of Pan-Immune-Inflammation Value to Predict Prostate Cancer in Patients with Prostate-Specific Antigen between 4 and 20 ng/mL. J Clin Med 2023; 12:jcm12030820. [PMID: 36769469 PMCID: PMC9917630 DOI: 10.3390/jcm12030820] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 01/16/2023] [Accepted: 01/17/2023] [Indexed: 01/22/2023] Open
Abstract
INTRODUCTION To evaluate the predictive value of the pan-immune-inflammation value (PIV) and other systemic inflammatory markers, including the neutrophil-to-lymphocyte ratio (NLR), derived neutrophil-to-lymphocyte ratio (dNLR), monocyte-to-lymphocyte ratio (MLR), platelet-to-lymphocyte ratio (PLR), and systemic immune-inflammation index (SII), for prostate cancer (PCa) and clinically significant prostate cancer (CSPCa) in patients with a prostate-specific antigen (PSA) value between 4 and 20 ng/mL. PATIENTS AND METHODS The clinical data of 319 eligible patients who underwent prostate biopsies in our hospital from August 2019 to June 2022 were retrospectively analyzed. CSPCa was defined as a "Gleason grade group of ≥2". A univariable logistic regression analysis and multivariable logistic regression analysis were conducted to analyze the association between the PIV, SII, MLR, and PCa/CSPCa. For the inflammatory indicators included in the multivariable logistic regression analysis, we constructed models by combining the separate inflammatory indicator and other significant predictors and compared the area under the curve (AUC). A nomogram based on the PIV for PCa was developed. RESULTS We included 148 PCa patients (including 127 CSPCa patients) and 171 non-PCa patients in total. The patients with PCa were older, had higher MLR, SII, PIV, and total PSA (TPSA) values, consumed more alcohol, and had lower free/total PSA (f/T) values than the other patients. Compared with the non-CSPCa group, the CSPCa group had higher BMI, MLR, PIV, TPSA values, consumed more alcohol, and had lower f/T values. The univariable regression analysis showed that drinking history, higher MLR, PIV, and TPSA values, and lower f/T values were independent predictors of PCa and CSPCa. The AUC of the PIV in the multivariable logistic regression model was higher than those of the MLR and SII. In addition, the diagnostic value of the PIV + PSA for PCa was better than the PSA value. However, the diagnostic value for CSPCa was not significantly different from that of using PSA alone, while the AUC of the PIV + PSA was higher than the individual indicator of the PSA value. CONCLUSIONS Our study suggests that for the patients who were diagnosed with PSA values between 4 and 20 ng/mL, the PIV and MLR are potential indicators for predicting PCa and CSPCa. In addition, our study indicates that the new inflammatory index PIV has clinical value in the diagnosis of PCa and CSPCa.
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del Pino-Sedeño T, Infante-Ventura D, de Armas Castellano A, de Pablos-Rodríguez P, Rueda-Domínguez A, Serrano-Aguilar P, Trujillo-Martín MM. Molecular Biomarkers for the Detection of Clinically Significant Prostate Cancer: A Systematic Review and Meta-analysis. EUR UROL SUPPL 2022; 46:105-127. [PMID: 36388432 PMCID: PMC9664479 DOI: 10.1016/j.euros.2022.10.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/18/2022] [Indexed: 11/11/2022] Open
Abstract
Context Prostate cancer (PCa) is the second most common type of cancer in men. Individualized risk stratification is crucial to adjust decision-making. A variety of molecular biomarkers have been developed in order to identify patients at risk of clinically significant PCa (csPCa) defined by the most common PCa risk stratification systems. Objective The present study aims to examine the effectiveness (diagnostic accuracy) of blood or urine-based PCa biomarkers to identify patients at high risk of csPCa. Evidence acquisition A systematic review of the literature was conducted. Medline and EMBASE were searched from inception to March 2021. Randomized or nonrandomized clinical trials, and cohort and case-control studies were eligible for inclusion. Risk of bias was assessed using the Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) tool. Pooled estimates of sensitivity, specificity, and area under the curve were obtained. Evidence synthesis Sixty-five studies (N = 34 287) were included. Not all studies included prostate-specific antigen-selected patients. The pooled data showed that the Prostate Health Index (PHI), with any cutoff point between 15 and 30, had sensitivity of 0.95-1.00 and specificity of 0.14-0.33 for csPCa detection. The pooled estimates for SelectMDx test sensitivity and specificity were 0.84 and 0.49, respectively. Conclusions The PHI test has a high diagnostic accuracy rate for csPCa detection, and its incorporation in the diagnostic process could reduce unnecessary biopsies. However, there is a lack of evidence on patient-important outcomes and thus more research is needed. Patient summary It has been possible to verify that the application of biomarkers could help detect prostate cancer (PCa) patients with a higher risk of poorer evolution. The Prostate Health Index shows an ability to identify 95-100 for every 100 patients suffering from clinically significant PCa who take the test, preventing unnecessary biopsies in 14-33% of men without PCa or insignificant PCa.
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Affiliation(s)
- Tasmania del Pino-Sedeño
- Canary Islands Health Research Institute Foundation (FIISC), Tenerife, Spain
- The Spanish Network of Agencies for Health Technology Assessment and Services of the National Health System (RedETS), Madrid, Spain
- European University of the Canary Islands (UEC), Santa Cruz de Tenerife, Spain
- Network for Research on Chronicity, Primary Care, and Health Promotion (RICAPPS), Tenerife, Spain
| | - Diego Infante-Ventura
- Canary Islands Health Research Institute Foundation (FIISC), Tenerife, Spain
- The Spanish Network of Agencies for Health Technology Assessment and Services of the National Health System (RedETS), Madrid, Spain
| | - Aythami de Armas Castellano
- Canary Islands Health Research Institute Foundation (FIISC), Tenerife, Spain
- The Spanish Network of Agencies for Health Technology Assessment and Services of the National Health System (RedETS), Madrid, Spain
| | - Pedro de Pablos-Rodríguez
- Department of Urology, Valencian Institute of Oncology Foundation, Valencia, Spain
- Doctoral School of University of Las Palmas de Gran Canaria, Las Palmas, Spain
- Research Institute of Biochemical and Health Sciences, Barcelona, Spain
| | - Antonio Rueda-Domínguez
- Medical Oncology Intercenter Unit, Regional and Virgen de la Victoria University Hospitals, IBIMA, Málaga, Spain
- Research Network on Health Services in Chronic Diseases (REDISSEC), Madrid, Spain
| | - Pedro Serrano-Aguilar
- The Spanish Network of Agencies for Health Technology Assessment and Services of the National Health System (RedETS), Madrid, Spain
- Network for Research on Chronicity, Primary Care, and Health Promotion (RICAPPS), Tenerife, Spain
- Research Network on Health Services in Chronic Diseases (REDISSEC), Madrid, Spain
- Institute of Biomedical Technologies (ITB). University of La Laguna, Tenerife, Spain
- Evaluation Unit (SESCS), Canary Islands Health Service (SCS), Tenerife, Spain
| | - María M. Trujillo-Martín
- Canary Islands Health Research Institute Foundation (FIISC), Tenerife, Spain
- The Spanish Network of Agencies for Health Technology Assessment and Services of the National Health System (RedETS), Madrid, Spain
- Network for Research on Chronicity, Primary Care, and Health Promotion (RICAPPS), Tenerife, Spain
- Research Network on Health Services in Chronic Diseases (REDISSEC), Madrid, Spain
- Institute of Biomedical Technologies (ITB). University of La Laguna, Tenerife, Spain
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Terracciano D, La Civita E, Athanasiou A, Liotti A, Fiorenza M, Cennamo M, Crocetto F, Tennstedt P, Schiess R, Haese A, Ferro M, Steuber T. New strategy for the identification of prostate cancer: The combination of Proclarix and the prostate health index. Prostate 2022; 82:1469-1476. [PMID: 35971798 DOI: 10.1002/pros.24422] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Revised: 06/10/2022] [Accepted: 07/11/2022] [Indexed: 11/12/2022]
Abstract
OBJECTIVES Prostate health index (PHI) and, more recently, Proclarix have been proposed as serum biomarkers for prostate cancer (PCa). In this study, we aimed to evaluate Proclarix and PHI for predicting clinically significant prostate cancer (csPCa). PATIENTS AND METHODS Proclarix and PHI were measured using samples of 344 men from two different centers. All patients underwent prostate biopsy, and among those, 188 men with PCa on biopsy had an additional radical prostatectomy (RP). All men had a prostate-specific antigen (PSA) between 2 and 10 ng/ml. Evaluation of area under the curve (AUC) and performance at predefined cut-offs of Proclarix and PHI risk scores as well as the linear combination thereof was performed to predict csPCa. PSA density was used as an independent comparator. RESULTS The cohort median age and PSA were 65 (interquartile range [IQR]: 60-71) and 5.6 (IQR: 4.3-7.2) ng/ml, respectively. CsPCa was diagnosed in 161 (47%) men based on the RP specimen. ROC analysis showed that Proclarix and PHI accurately predicted csPCa with no significant difference (AUC of 0.79 and 0.76, p = 0.378) but significantly better when compared to PSA density (AUC of 0.66, p < 0.001). When using specific cut-offs, Proclarix (cut-off 10) revealed higher specificity and positive predictive value than PHI (cut-off 27) at similar sensitivities. The combination of Proclarix and PHI provided a significant increase in the AUC (p ≤ 0.007) compared to the individual tests alone and the highest clinical benefit was achieved. CONCLUSION Results of this study show that both Proclarix and PHI accurately detect the presence of csPCa. The model combining Proclarix and PHI revealed the synergistic effect and improved the diagnostic performance of the individual tests.
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Affiliation(s)
- Daniela Terracciano
- Department of Translational Medical Sciences, University of Naples "Federico II", Naples, Italy
| | - Evelina La Civita
- Department of Translational Medical Sciences, University of Naples "Federico II", Naples, Italy
| | | | - Antonietta Liotti
- Department of Translational Medical Sciences, University of Naples "Federico II", Naples, Italy
| | - Mariano Fiorenza
- Department of Translational Medical Sciences, University of Naples "Federico II", Naples, Italy
| | - Michele Cennamo
- Department of Translational Medical Sciences, University of Naples "Federico II", Naples, Italy
| | - Felice Crocetto
- Department of Neurosciences, Reproductive Sciences and Odontostomatology, University of Naples "Federico II", Naples, Italy
| | - Pierre Tennstedt
- Martini-Klinik, University Hospital Hamburg-Eppendorf, Hamburg, Germany
| | - Ralph Schiess
- Proteomedix AG, Research & Development, Zurich-Schlieren, Switzerland
| | - Alexander Haese
- Martini-Klinik, University Hospital Hamburg-Eppendorf, Hamburg, Germany
| | - Matteo Ferro
- Division of Urology, European Institute of Oncology (IEO), IRCCS, Milan, Italy
| | - Thomas Steuber
- Martini-Klinik, University Hospital Hamburg-Eppendorf, Hamburg, Germany
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Nnate DA, Ball J. Current prostate cancer screening and treatment strategies may not support a holistic nationwide program. Cancer 2022; 128:2858-2864. [PMID: 35649153 DOI: 10.1002/cncr.34337] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2022] [Revised: 05/15/2022] [Accepted: 05/16/2022] [Indexed: 11/08/2022]
Abstract
The diversity of the United Kingdom population and its health care personnel makes it unique for research into evidence-based prostate cancer screening and management strategies. Therefore, ensuring that appropriate systems and services are available to enhance treatment support for men with underlying risk factors should be a priority for health care providers. More efforts are also needed to ensure the representation of men of Black ethnic origin and underserved populations in future prostate cancer research used to inform clinical guidelines.
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Affiliation(s)
- Daniel A Nnate
- School of Health Sciences, Institute of Population Health, University of Liverpool, Liverpool, UK.,Countess of Chester Hospital NHS Foundation Trust, Chester, UK
| | - Jacquie Ball
- School of Health Sciences, Institute of Population Health, University of Liverpool, Liverpool, UK.,Clatterbridge Cancer Centre NHS Foundation Trust, Birkenhead, UK
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9
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Chiu ST, Cheng YT, Pu YS, Lu YC, Hong JH, Chung SD, Chiang CH, Huang CY. Prostate Health Index Density Outperforms Prostate Health Index in Clinically Significant Prostate Cancer Detection. Front Oncol 2021; 11:772182. [PMID: 34869007 PMCID: PMC8640459 DOI: 10.3389/fonc.2021.772182] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Accepted: 10/29/2021] [Indexed: 12/11/2022] Open
Abstract
Background Prostate-specific antigen (PSA) is considered neither sensitive nor specific for prostate cancer (PCa). We aimed to compare total PSA (tPSA), percentage of free PSA (%fPSA), the PSA density (PSAD), Prostate Health Index (PHI), and the PHI density (PHID) to see which one could best predict clinically significant prostate cancer (csPCa): a potentially lethal disease. Methods A total of 412 men with PSA of 2-20 ng/mL were prospectively included. Serum biomarkers for PCa was collected before transrectal ultrasound guided prostate biopsy. PHI was calculated by the formula: (p2PSA/fPSA) x √tPSA. PHID was calculated as PHI divided by prostate volume measured by transrectal ultrasound. Results Of the 412 men, 134 (32.5%) and 94(22.8%) were diagnosed with PCa and csPCa, respectively. We used the area under the receiver operating characteristic curve (AUC) and decision curve analyses (DCA) to compare the performance of PSA related parameters, PHI and PHID in diagnosing csPCa. AUC for tPSA, %fPSA, %p2PSA, PSAD, PHI and PHID were 0.56、0.63、0.76、0.74、0.77 and 0.82 respectively for csPCa detection. In the univariate analysis, the prostate volume, tPSA, %fPSA, %p2PSA, PHI, PSAD, and PHID were all significantly associated with csPCa, and PHID was the most important predictor (OR 1.41, 95% CI 1.15-1.72). Besides, The AUC of PHID was significantly larger than PHI in csPCa diagnosis (p=0.004). At 90% sensitivity, PHID had the highest specificity (54.1%) for csPCa and could reduce the most unnecessary biopsies (43.7%) and miss the fewest csPCa (8.5%) when PHID ≥ 0.67. In addition to AUC, DCA re-confirmed the clinical benefit of PHID over all PSA-related parameters and PHI in csPCa diagnosis. The PHID cut-off value was positively correlated with the csPCa ratio in the PHID risk table, which is useful for evaluating csPCa risk in a clinical setting. Conclusion The PHID is an excellent predictor of csPCa. The PHID risk table may be used in standard clinical practice to pre-select men at the highest risk of harboring csPCa.
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Affiliation(s)
- Shih-Ting Chiu
- Department of Urology, National Taiwan University Hospital, Taipei, Taiwan
| | - Yung-Ting Cheng
- Department of Urology, National Taiwan University Hospital Hsin-Chu Branch, Hsinchu, Taiwan
| | - Yeong-Shiau Pu
- Department of Urology, National Taiwan University Hospital, Taipei, Taiwan
| | - Yu-Chuan Lu
- Department of Urology, National Taiwan University Hospital, Taipei, Taiwan
| | - Jian-Hua Hong
- Department of Urology, National Taiwan University Hospital, Taipei, Taiwan
| | - Shiu-Dong Chung
- Division of Urology, Department of Surgery, Far-Eastern Memorial Hospital, New Taipei City, Taiwan.,Graduate Program in Biomedical Informatics, College of Informatics, Yuan-Ze University, Chung-Li, Taiwan
| | - Chih-Hung Chiang
- Department of Urology, National Taiwan University Hospital, Taipei, Taiwan.,Department of Urology, Taipei Veterans General Hospital, Yuan-Shan/Su-Ao Branch, Yi-Lan, Taiwan.,Department of Medical Research and Education, Taipei Veterans General Hospital, Yuan-Shan/Su-Ao Branch, Yi-Lan, Taiwan
| | - Chao-Yuan Huang
- Department of Urology, National Taiwan University Hospital, Taipei, Taiwan
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Meehan J, Gray M, Martínez-Pérez C, Kay C, McLaren D, Turnbull AK. Tissue- and Liquid-Based Biomarkers in Prostate Cancer Precision Medicine. J Pers Med 2021; 11:jpm11070664. [PMID: 34357131 PMCID: PMC8306523 DOI: 10.3390/jpm11070664] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Revised: 07/06/2021] [Accepted: 07/13/2021] [Indexed: 12/24/2022] Open
Abstract
Worldwide, prostate cancer (PC) is the second-most-frequently diagnosed male cancer and the fifth-most-common cause of all cancer-related deaths. Suspicion of PC in a patient is largely based upon clinical signs and the use of prostate-specific antigen (PSA) levels. Although PSA levels have been criticised for a lack of specificity, leading to PC over-diagnosis, it is still the most commonly used biomarker in PC management. Unfortunately, PC is extremely heterogeneous, and it can be difficult to stratify patients whose tumours are unlikely to progress from those that are aggressive and require treatment intensification. Although PC-specific biomarker research has previously focused on disease diagnosis, there is an unmet clinical need for novel prognostic, predictive and treatment response biomarkers that can be used to provide a precision medicine approach to PC management. In particular, the identification of biomarkers at the time of screening/diagnosis that can provide an indication of disease aggressiveness is perhaps the greatest current unmet clinical need in PC management. Largely through advances in genomic and proteomic techniques, exciting pre-clinical and clinical research is continuing to identify potential tissue, blood and urine-based PC-specific biomarkers that may in the future supplement or replace current standard practices. In this review, we describe how PC-specific biomarker research is progressing, including the evolution of PSA-based tests and those novel assays that have gained clinical approval. We also describe alternative diagnostic biomarkers to PSA, in addition to biomarkers that can predict PC aggressiveness and biomarkers that can predict response to certain therapies. We believe that novel biomarker research has the potential to make significant improvements to the clinical management of this disease in the near future.
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Affiliation(s)
- James Meehan
- Translational Oncology Research Group, Institute of Genetics and Cancer, Western General Hospital, University of Edinburgh, Edinburgh EH4 2XU, UK; (C.M.-P.); (C.K.); (A.K.T.)
- Correspondence:
| | - Mark Gray
- The Royal (Dick) School of Veterinary Studies and Roslin Institute, University of Edinburgh, Midlothian EH25 9RG, UK;
| | - Carlos Martínez-Pérez
- Translational Oncology Research Group, Institute of Genetics and Cancer, Western General Hospital, University of Edinburgh, Edinburgh EH4 2XU, UK; (C.M.-P.); (C.K.); (A.K.T.)
- Breast Cancer Now Edinburgh Research Team, Institute of Genetics and Cancer, Western General Hospital, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Charlene Kay
- Translational Oncology Research Group, Institute of Genetics and Cancer, Western General Hospital, University of Edinburgh, Edinburgh EH4 2XU, UK; (C.M.-P.); (C.K.); (A.K.T.)
- Breast Cancer Now Edinburgh Research Team, Institute of Genetics and Cancer, Western General Hospital, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Duncan McLaren
- Edinburgh Cancer Centre, Western General Hospital, NHS Lothian, Edinburgh EH4 2XU, UK;
| | - Arran K. Turnbull
- Translational Oncology Research Group, Institute of Genetics and Cancer, Western General Hospital, University of Edinburgh, Edinburgh EH4 2XU, UK; (C.M.-P.); (C.K.); (A.K.T.)
- Breast Cancer Now Edinburgh Research Team, Institute of Genetics and Cancer, Western General Hospital, University of Edinburgh, Edinburgh EH4 2XU, UK
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Gentile F, Ferro M, Della Ventura B, La Civita E, Liotti A, Cennamo M, Bruzzese D, Velotta R, Terracciano D. Reply to Jue et al. Value of MRI to Improve Deep Learning Model That Identifies High-Grade Prostate Cancer. Comment on "Gentile et al. Optimized Identification of High-Grade Prostate Cancer by Combining Different PSA Molecular Forms and PSA Density in a Deep Learning Model. Diagnostics 2021, 11, 335". Diagnostics (Basel) 2021; 11:diagnostics11071214. [PMID: 34359297 PMCID: PMC8307083 DOI: 10.3390/diagnostics11071214] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Accepted: 07/02/2021] [Indexed: 11/16/2022] Open
Abstract
In their comment "Value of MRI to Improve Deep Learning Model That Identifies High-Grade Prostate Cancer [...].
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Affiliation(s)
- Francesco Gentile
- Department of Experimental and Clinical Medicine, University Magna Graecia of Catanzaro, 88100 Catanzaro, Italy
- Correspondence: (F.G.); (D.T.)
| | - Matteo Ferro
- Division of Urology, European Institute of Oncology (IEO), IRCCS, Via Ripamonti 435, 20141 Milan, Italy;
| | - Bartolomeo Della Ventura
- Department of Physics “Ettore Pancini”, University of Naples “Federico II”, Via Cintia 26 Ed. G, 80126 Naples, Italy; (B.D.V.); (R.V.)
| | - Evelina La Civita
- Department of Translational Medical Sciences, University of Naples “Federico II”, 80131 Naples, Italy; (E.L.C.); (A.L.); (M.C.)
| | - Antonietta Liotti
- Department of Translational Medical Sciences, University of Naples “Federico II”, 80131 Naples, Italy; (E.L.C.); (A.L.); (M.C.)
| | - Michele Cennamo
- Department of Translational Medical Sciences, University of Naples “Federico II”, 80131 Naples, Italy; (E.L.C.); (A.L.); (M.C.)
| | - Dario Bruzzese
- Department of Public Health, University of Naples “Federico II”, 80131 Naples, Italy;
| | - Raffaele Velotta
- Department of Physics “Ettore Pancini”, University of Naples “Federico II”, Via Cintia 26 Ed. G, 80126 Naples, Italy; (B.D.V.); (R.V.)
| | - Daniela Terracciano
- Department of Translational Medical Sciences, University of Naples “Federico II”, 80131 Naples, Italy; (E.L.C.); (A.L.); (M.C.)
- Correspondence: (F.G.); (D.T.)
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