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Fiorella D, Marenco JL, Mascarós JM, Borque-Fernando Á, Esteban LM, Calatrava A, Pastor B, López-Guerrero JA, Rubio-Briones J. Role of PCA3 and SelectMDx in the optimization of active surveillance in prostate cancer. Actas Urol Esp 2021; 45:439-446. [PMID: 34148844 DOI: 10.1016/j.acuroe.2020.10.013] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2020] [Accepted: 10/26/2020] [Indexed: 12/24/2022]
Abstract
INTRODUCTION & OBJECTIVES A not negligible percentage of patients included in active surveillance (AS) for low and very low risk prostate cancer (PCa) are reclassified in the confirmatory biopsy or have disease progression during follow-up. Our aim is to evaluate the role of PCA3 and SelectMDx, in an individual and combined way, in the prediction of pathological progression (PP) in a standard AS program. MATERIALS & METHODS Prospective and observational study comprised of 86 patients enrolled in an AS program from 2009 to 2019, with results for PCA3 and SelectMDx previous to PCa diagnosis or during their confirmatory period. Univariate and multivariate analysis were performed to correlate PCA3 and SelectMDx scores as well as clinical and pathological variables with PP-free survival (PPFS). The most reliable cut-offs for both biomarkers in the context of AS were defined. RESULTS SelectMDx showed statistically significant differences related to PPFS (HR 1.035, 95%CI: 1.012-1.057) (p = 0.002) with a C-index of 0.670 (95%CI: 0.529-0.810) and AUC of 0.714 (95%CI: 0.603-0.825) at 5 years. In our series, the most reliable cut-off point for SelectMDx was 5, with a sensitivity and specificity for PP of 69.8% and 67.4%, respectively. Same figure for PCA3 was 65, with a sensitivity and specificity for PP of 51.16% and 74.42%, respectively. The combination of both biomarkers did not improve the prediction of PP, C-index 0.630 (95%CI: 0.455-0.805). CONCLUSIONS In the context of low or very low risk PCa, SelectMDx > 5 predicted 5 years PP free survival with a moderate discrimination ability outperforming PCA3. The combination of both tests did not improved outcomes.
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Affiliation(s)
- D Fiorella
- Departamento de Urología, Instituto Valenciano de Oncología, Valencia, Spain
| | - J L Marenco
- Departamento de Urología, Instituto Valenciano de Oncología, Valencia, Spain
| | - J M Mascarós
- Departamento de Urología, Instituto Valenciano de Oncología, Valencia, Spain
| | - Á Borque-Fernando
- Departamento de Urología, IIS-Aragón, Hospital Universitario Miguel Servet, Zaragoza, Spain
| | - L M Esteban
- Departamento de Matemáticas Aplicadas, Escuela Universitaria Politécnica de La Almunia, Universidad de Zaragoza, La Almuniade Doña Godina, Zaragoza, Spain
| | - A Calatrava
- Departamento de Patología, Instituto Valenciano de Oncología, Valencia, Spain
| | - B Pastor
- Laboratorio de Biología Molecular, Instituto Valenciano de Oncología, Valencia, Spain
| | - J A López-Guerrero
- Laboratorio de Biología Molecular, Instituto Valenciano de Oncología, Valencia, Spain; IVO-CIPF Joint Research Unit of Cancer, Centro de Investigación Príncipe Felipe (CIPF), Valencia, Spain; Departamento de Patología, Facultad de Medicina, Universidad Católica de Valencia San Vicente Mártir, Valencia, Spain
| | - J Rubio-Briones
- Departamento de Urología, Instituto Valenciano de Oncología, Valencia, Spain.
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Fiorella D, Marenco J, Mascarós J, Borque-Fernando A, Esteban L, Calatrava A, Pastor B, López-Guerrero J, Rubio-Briones J. Role of PCA3 and SelectMDx in the optimization of active surveillance in prostate cancer. Actas Urol Esp 2021. [PMID: 33926745 DOI: 10.1016/j.acuro.2020.10.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
INTRODUCTION AND OBJECTIVES A not negligible percentage of patients included in active surveillance (AS) for low and very low risk prostate cancer (PCa) are reclassified in the confirmatory biopsy or have disease progression during follow-up. Our aim is to evaluate the role of PCA3 and SelectMDx, in an individual and combined way, in the prediction of pathological progression (PP) in a standard AS program. MATERIALS AND METHODS Prospective and observational study comprised of 86 patients enrolled in an AS program from 2009 to 2019, with results for PCA3 and SelectMDx previous to PCa diagnosis or during their confirmatory period. Univariate and multivariate analysis were performed to correlate PCA3 and SelectMDx scores as well as clinical and pathological variables with PP-free survival (PPFS). The most reliable cut-offs for both biomarkers in the context of AS were defined. RESULTS SelectMDx showed statistically significant differences related to PPFS (HR: 1.035; 95%CI: 1.012-1.057) (P=.002) with a C-index of 0.670 (95%CI: 0.529-0.810) and AUC of 0.714 (95%CI: 0.603-0.825) at 5years. In our series, the most reliable cut-off point for SelectMDx was 5, with a sensitivity and specificity for PP of 69.8% and 67.4%, respectively. Same figure for PCA3 was 65, with a sensitivity and specificity for PP of 51.16% and 74.42%, respectively. The combination of both biomarkers did not improve the prediction of PP, C-index 0.630 (95%CI: 0.455-0.805). CONCLUSIONS In the context of low or very low risk PCa, SelectMDx >5 predicted 5years PP free survival with a moderate discrimination ability outperforming PCA3. The combination of both tests did not improved outcomes.
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Gómez Rivas J, Carrion DM, Chandrasekar T, Álvarez-Maestro M, Enikeev D, Martínez-Piñeiro L, Barret E. The role of multiparametric magnetic resonance imaging in the selection and follow-up of patients undergoing active surveillance for prostate cancer. An European Section of Uro-Technology (ESUT) review. Actas Urol Esp 2021; 45:188-197. [PMID: 33189417 DOI: 10.1016/j.acuro.2020.04.011] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2020] [Accepted: 04/07/2020] [Indexed: 12/25/2022]
Abstract
INTRODUCTION In recent years, active surveillance (AS) has gained popularity as a safe and reasonable option for patients with low-risk, clinically localized prostate cancer. OBJECTIVE To summarize the latest information regarding the use of mpMRI in the setting of active surveillance (AS) for the management of prostate cancer (PCa). EVIDENCE ACQUISITION A PubMed-based, English literature search was conducted through February 2020. We selected the most relevant original articles, meta-analyses and systematic reviews that could provide important information. EVIDENCE SYNTHESIS The great importance of mpMRI of the prostate in the setting of PCa diagnosis is its ability to visualize primarily high-grade cancerous lesions potentially missed on systematic biopsies. In several studies, mpMRI has shown an improved performance over clinically based models for identifying candidates which will benefit the most from AS. Although data on prostate mpMRI during follow-up of men under AS is sparse, it holds the probability to improve significantly AS programs by a more precise selection of optimal candidates, a more accurate identification of disease progression and a reduction in number of biopsies. The goal of reassessment of patients undergoing AS is to find the most effective moment to change attitude to active treatment. CONCLUSION The value of mpMRI has been recognized due to its high negative predictive value (NPV) for lesion upgrading in low-risk PCa patients. The improvement in imaging detection, and precise diagnosis with mpMRI could reduce misclassifications at initial diagnosis and during follow-up, reducing the number of biopsies.
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Affiliation(s)
- J Gómez Rivas
- Departamento de Urología, Hospital Universitario La Paz, Madrid, España; Instituto de Investigación para la Salud, Hospital Universitario La Paz (IdiPaz), Madrid, España.
| | - D M Carrion
- Departamento de Urología, Hospital Universitario La Paz, Madrid, España; Instituto de Investigación para la Salud, Hospital Universitario La Paz (IdiPaz), Madrid, España
| | - T Chandrasekar
- Departamento de Urología, Hospital Universitario Thomas Jefferson, Filadelfia, EE. UU
| | - M Álvarez-Maestro
- Departamento de Urología, Hospital Universitario La Paz, Madrid, España; Instituto de Investigación para la Salud, Hospital Universitario La Paz (IdiPaz), Madrid, España
| | - D Enikeev
- Instituto de Urología y Salud Reproductiva, Universidad Sechenov, Moscú, Rusia
| | - L Martínez-Piñeiro
- Departamento de Urología, Hospital Universitario La Paz, Madrid, España; Instituto de Investigación para la Salud, Hospital Universitario La Paz (IdiPaz), Madrid, España
| | - E Barret
- Departamento de Urología, Institut Mutualiste Montsouris, París, Francia
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Gnanapragasam VJ, Barrett T, Thankapannair V, Thurtle D, Rubio-Briones J, Domínguez-Escrig J, Bratt O, Statin P, Muir K, Lophatananon A. Using prognosis to guide inclusion criteria, define standardised endpoints and stratify follow-up in active surveillance for prostate cancer. BJU Int 2019; 124:758-767. [PMID: 31063245 DOI: 10.1111/bju.14800] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
OBJECTIVES To test whether using disease prognosis can inform a rational approach to active surveillance (AS) for early prostate cancer. PATIENTS AND METHODS We previously developed the Cambridge Prognostics Groups (CPG) classification, a five-tiered model that uses prostate-specific antigen (PSA), Grade Group and Stage to predict cancer survival outcomes. We applied the CPG model to a UK and a Swedish prostate cancer cohort to test differences in prostate cancer mortality (PCM) in men managed conservatively or by upfront treatment in CPG2 and 3 (which subdivides the intermediate-risk classification) vs CPG1 (low-risk). We then applied the CPG model to a contemporary UK AS cohort, which was optimally characterised at baseline for disease burden, to identify predictors of true prognostic progression. Results were re-tested in an external AS cohort from Spain. RESULTS In a UK cohort (n = 3659) the 10-year PCM was 2.3% in CPG1, 1.5%/3.5% in treated/untreated CPG2, and 1.9%/8.6% in treated/untreated CPG3. In the Swedish cohort (n = 27 942) the10-year PCM was 1.0% in CPG1, 2.2%/2.7% in treated/untreated CPG2, and 6.1%/12.5% in treated/untreated CPG3. We then tested using progression to CPG3 as a hard endpoint in a modern AS cohort (n = 133). During follow-up (median 3.5 years) only 6% (eight of 133) progressed to CPG3. Predictors of progression were a PSA density ≥0.15 ng/mL/mL and CPG2 at diagnosis. Progression occurred in 1%, 8% and 21% of men with neither factor, only one, or both, respectively. In an independent Spanish AS cohort (n = 143) the corresponding rates were 3%, 10% and 14%, respectively. CONCLUSION Using disease prognosis allows a rational approach to inclusion criteria, discontinuation triggers and risk-stratified management in AS.
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Affiliation(s)
- Vincent J Gnanapragasam
- Academic Urology Group, Department of Surgery, University of Cambridge, Cambridge, UK.,Department of Urology, Cambridge University Hospitals NHS Trust, Cambridge, UK.,Cambridge Urology Translational Research and Clinical Trials Cambridge Biomedical Campus, University of Cambridge, Cambridge, UK
| | - Tristan Barrett
- Department of Radiology, University of Cambridge, Cambridge, UK
| | | | - David Thurtle
- Academic Urology Group, Department of Surgery, University of Cambridge, Cambridge, UK
| | | | | | - Ola Bratt
- Sahlgrenska Academy, Gothenburg University, Gothenburg, Sweden
| | - Par Statin
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Kenneth Muir
- Department of Public Health and Epidemiology, University of Manchester, Manchester, UK
| | - Artitaya Lophatananon
- Department of Public Health and Epidemiology, University of Manchester, Manchester, UK
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Borque-Fernando Á, Rubio-Briones J, Esteban LM, Dong Y, Calatrava A, Gómez-Ferrer Á, Gómez-Gómez E, Gil Fabra JM, Rodríguez-García N, López González PÁ, García-Rodríguez J, Rodrigo-Aliaga M, Herrera-Imbroda B, Soto-Villalba J, Martínez-Breijo S, Hernández-Cañas V, Soto-Poveda AM, Sánchez-Rodríguez C, Carrillo-George C, Hernández-Martínez YE, Okrongly D. Role of the 4Kscore test as a predictor of reclassification in prostate cancer active surveillance. Prostate Cancer Prostatic Dis 2018; 22:84-90. [PMID: 30108375 DOI: 10.1038/s41391-018-0074-5] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2018] [Revised: 05/30/2018] [Accepted: 06/19/2018] [Indexed: 12/29/2022]
Abstract
BACKGROUND Management of active surveillance (AS) in low-risk prostate cancer (PCa) patients could be improved with new biomarkers, such as the 4Kscore test. We analyze its ability to predict tumor reclassification by upgrading at the confirmatory biopsy at 6 months. METHODS Observational, prospective, blinded, and non-randomized study, within the Spanish National Registry on AS (AEU/PIEM/2014/0001; NCT02865330) with 181 patients included after initial Bx and inclusion criteria: PSA ≤10 ng/mL, cT1c-T2a, Grade group 1, ≤2 cores, and ≤5 mm/50% length core involved. Central pathological review of initial and confirmatory Bx was performed on all biopsy specimens. Plasma was collected 6 months after initial Bx and just before confirmatory Bx to determine 4Kscore result. In order to predict reclassification defined as Grade group ≥2, we analyzed 4Kscore, percent free to total (%f/t) PSA ratio, prostate volume, PSA density, family history, body mass index, initial Bx, total cores, initial Bx positive cores, initial Bx % of positive cores, initial Bx maximum cancer core length and initial Bx cancer % involvement. Wilcoxon rank-sum test, non-parametric trend test or Fisher's exact test, as appropriate established differences between groups of reclassification. RESULTS A total of 137 patients met inclusion criteria. Eighteen patients (13.1%) were reclassified at confirmatory Bx. The %f/t PSA ratio and 4Kscore showed differences between the groups of reclassification (Yes/No). Using 7.5% as cutoff for the 4Kscore, we found a sensitivity of 89% and a specificity of 29%, with no reclassifications to Grade group 3 for patients with 4Kscore below 7.5% and 2 (6%) missed Grade group 2 reclassified patients. Using this threshold value there is a biopsy reduction of 27%. Additionally, 4Kscore was also associated with changes in tumor volume. CONCLUSIONS Our preliminary findings suggest that the 4Kscore may be a useful tool in the decision-making process to perform a confirmatory Bx in active surveillance management.
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Affiliation(s)
- Ángel Borque-Fernando
- Department of Urology, Hospital Universitario Miguel Servet. IIS Aragon., Zaragoza, Spain.
| | - José Rubio-Briones
- Department of Urology, Instituto Valenciano de Oncología, Valencia, Spain
| | - Luis M Esteban
- Escuela Universitaria Politécnica La Almunia, Universidad de Zaragoza, Zaragoza, Spain
| | - Yan Dong
- OPKO Diagnostics, Woburn, MA, USA
| | - Ana Calatrava
- Department of Pathology, Instituto Valenciano de Oncología, Valencia, Spain
| | | | | | - Jesús M Gil Fabra
- Department of Urology, Hospital Universitario Miguel Servet. IIS Aragon., Zaragoza, Spain
| | | | | | | | - Miguel Rodrigo-Aliaga
- Department of Urology, Hospital General Universitario de Castellón, Castellón de La Plana, Spain
| | | | - Juan Soto-Villalba
- Department of Urology, Hospital Universitario Puerta del Mar, Cádiz, Spain
| | - Sara Martínez-Breijo
- Department of Urology, Complejo Hospitalario Universitario de A Coruña, A Coruña, Spain
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