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Orbe Villota PM, Leiva Centeno JA, Lugones J, Minuzzi PG, Varea SM. Comparison between the European Randomized Study for Screening of Prostate Cancer (ERSPC) and Prostate Biopsy Collaborative Group (PBCG) risk calculators: Prediction of clinically significant Prostate Cancer risk in a cohort of patients from Argentina. Actas Urol Esp 2024; 48:210-217. [PMID: 37827241 DOI: 10.1016/j.acuroe.2023.10.002] [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: 04/18/2023] [Revised: 07/24/2023] [Accepted: 07/25/2023] [Indexed: 10/14/2023]
Abstract
OBJECTIVE To compare the performance of the risk calculators of the European Randomized Study for Screening of Prostate Cancer (ERSPC) and the Prostate Biopsy Collaborative Group (PBCG) in predicting the risk of presenting clinically significant prostate cancer. MATERIAL AND METHODS Retrospectively, patients who underwent prostate biopsy at Sanatorio Allende Cerro, Ciudad de Córdoba, Argentina, were identified from January 2018 to December 2021. The probability of having prostate cancer was calculated with the two calculators separately and then the results were compared to establish which of the two performed better. For this, areas under the curve (AUC) were analyzed. RESULTS 250 patients were included, 140 (56%) presented prostate cancer, of which 92 (65.71%) had clinically significant prostate cancer (Gleason score ≥7). The patients who presented cancer were older, had a higher prostate-specific antigen (PSA) value, and had a smaller prostate size. The AUC to predict the probability of having clinically significant prostate cancer was 0.79 and 0.73 for PBCG-RC and ERSPC-RC respectively (P=0.0084). CONCLUSION In this cohort of patients, both prostate cancer risk calculators performed well in predicting clinically significant prostate cancer risk, although the PBCG-RC showed better accuracy.
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Affiliation(s)
| | | | - J Lugones
- Servicio de Diagnóstico por Imágenes, Sanatorio Allende, Córdoba, Argentina
| | - P G Minuzzi
- Servicio de Urología, Sanatorio Allende, Córdoba, Argentina
| | - S M Varea
- Servicio de Urología, Sanatorio Allende, Córdoba, Argentina
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2
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Ding T, He W, Yan H, Wei Z, Zeng X, Hao X. Metabolic profiling in tissues and urine of patients with prostatic lesions and the diagnostic value of urine extracellular vesicles metabolites in prostate cancer. Clin Chim Acta 2024; 556:117845. [PMID: 38403146 DOI: 10.1016/j.cca.2024.117845] [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: 09/17/2023] [Revised: 02/16/2024] [Accepted: 02/20/2024] [Indexed: 02/27/2024]
Abstract
BACKGROUND Prostate cancer (PCa) lacks convenient and highly specific diagnostic markers. Although the value of extracellular vesicles (EV) in oncology is widely recognized, the diagnostic value of EV metabolites requires further exploration. This study aimed to explore the diagnostic value of urine EV (u-EV) metabolomics in PCa. METHODS We first detected metabolites in paired tissues cells (cells), tissue EV (t-EVs), u-EVs, and urine samples in cohort 1 (8 PCa vs. 5 benign prostatic hypertrophy, BPH) to prob the feasibility of EV metabolites as diagnostic markers. We then analyzed the value of u-EVs as markers for PCa diagnosis and typing in the expanded sample cohort (60 PCa vs. 40 BPH). RESULTS U-EV metabolites were more consistent with those in tissue-derived samples (cells and t-EVs) than those in urine, and more differential metabolites between BPH and PCa were identified in u-EV. Subsequently, we used a random forest model to construct a panel of six metabolites for PCa, which showed an area under the curve (AUC) of 0.833 in training cohort and 0.844 in validation cohort. We also found significantly differentially expressed metabolites between PCa subtypes (Gleason ≤ 7 vs. Gleason > 7 and localized vs. metastasis), demonstrating the value of EV metabolites in PCa typing and prognostic assessment. CONCLUSION Metabolomic analysis of u-EVs is a promising source of noninvasive markers for PCa diagnosis.
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Affiliation(s)
- Ting Ding
- Department of Clinical Laboratory Medicine, Xijing Hospital, Fourth Military Medical University (Air Force Medical University), Xi'an, China; School of Medicine, Northwest University, Xi'an, China
| | - Weixiang He
- Department of Urology, Xijing Hospital, Fourth Military Medical University (Air Force Medical University), Xi'an, China
| | - Hua Yan
- The National Engineering Research Center for Miniaturized Detection Systems, College of Life Science, Northwest University, Xi'an, China
| | - Zhen Wei
- School of Medicine, Northwest University, Xi'an, China; Shanxi Lifegen Co., Ltd., Xi'an, China
| | - Xianfei Zeng
- School of Medicine, Northwest University, Xi'an, China; Shanxi Lifegen Co., Ltd., Xi'an, China.
| | - Xiaoke Hao
- Department of Clinical Laboratory Medicine, Xijing Hospital, Fourth Military Medical University (Air Force Medical University), Xi'an, China; School of Medicine, Northwest University, Xi'an, China.
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Ding T, Diao Y, Zeng X, Zhou L, Wu G, Liu J, Hao X. Influential factors on urine EV DNA methylation detection and its diagnostic potential in prostate cancer. Front Genet 2024; 15:1338468. [PMID: 38440192 PMCID: PMC10909848 DOI: 10.3389/fgene.2024.1338468] [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: 11/16/2023] [Accepted: 02/06/2024] [Indexed: 03/06/2024] Open
Abstract
The value of Extracellular vesicles (EVs) diagnostic markers is widely recognized. However, current research on EV DNA remains limited. This study investigates the biological properties, preprocessing factors, and diagnostic potential of EV DNA. We found that DNA positive vesicles account for 23.3% ± 6.7% of the urine total EV, with a large amount of DNA attached to the outside. EV DNA fragments are large, there is no significant effect on uEV DNA when store urine less than 6 h at 4°C. In addition, the influence of different EV extraction methods on methylation detection is also minor. More importantly, RASSF1A methylation in urine total EV DNA can distinguish between PCa and BPH, with an AUC of 0.874. Our results suggest the potential of urine EV DNA as a novel marker for PCa diagnosis. This provides a new idea for the study of urinary tumor markers.
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Affiliation(s)
- Ting Ding
- Fourth Military Medical University (Air Force Medical University), Xi’an, China
- School of Medicine, Northwest University, Xi’an, China
| | - Yanjun Diao
- Fourth Military Medical University (Air Force Medical University), Xi’an, China
| | - Xianfei Zeng
- School of Medicine, Northwest University, Xi’an, China
- Shanxi Lifegen Co., Ltd., Xi’an, China
| | - Lei Zhou
- Fourth Military Medical University (Air Force Medical University), Xi’an, China
| | - Guojun Wu
- School of Medicine, Northwest University, Xi’an, China
- Department of Urology, Xi’an People’s Hospital(Xi’an Fourth Hospital), Xi’an, China
| | - Jiayun Liu
- Fourth Military Medical University (Air Force Medical University), Xi’an, China
| | - Xiaoke Hao
- Fourth Military Medical University (Air Force Medical University), Xi’an, China
- School of Medicine, Northwest University, Xi’an, China
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4
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Lukianova N, Zadvornyi Т, Borikun Т, Mushii О, Pavlova А, Tymoshenko А, Stakhovskyi Е, Vitruk I, Сhekhun V. SIGNIFICANCE OF OSTEOPONTIN FOR PREDICTING AGGRESSIVENESS OF PROSTATE CANCER. Exp Oncol 2023; 45:312-321. [PMID: 38186024 DOI: 10.15407/exp-oncology.2023.03.312] [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: 12/27/2023] [Indexed: 01/09/2024]
Abstract
BACKGROUND Effective prediction of the course of prostate cancer (PCa) and the stratification of treatment tactics largely depend on the use of prognostic markers that reflect the molecular and biological features of tumors. In view of the important role of matricellular proteins in the modulation of the growing tumor and metastasis of the hormone-dependent neoplasms, the aim of the work was to study the expression of osteopontin (OPN) at the protein and mRNA levels in the PCa tissue in order to assess the significance of this protein for predicting the aggressiveness of PCa. MATERIALS AND METHODS The work is based on the analysis of the results of the examination and treatment of 83 patients with PCa of stages II-IV. The study of OPN expression at the level of mRNA and protein in the PCa tissue was carried out using methods of the real time polymerase chain reaction and immunohistochemistry, respectively. RESULTS The OPN expression in the PCa tissue was 1.6 times (p < 0.05) higher in patients with regional lymph node metastases compared to patients without metastases. In patients with a Gleason score of < 7, the OPN expression in the tumor tissue was 1.4 times lower (p < 0.05) than in patients with poorly differentiated PCa. In patients with a high risk of tumor progression, the OPN expression level was 1.4 and 2.1 times higher (p < 0.05) compared to patients with a moderate and low risk of PCa progression. The patients with a high OPN expression level in the PCa tissue had significantly decreased 2-year recurrence-free survival rate (by 25%). CONCLUSIONS The obtained results indicate the expediency of using OPN expression indicators in the tumor tissue to predict the PCa aggressiveness and assess the risk of its recurrence.
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Affiliation(s)
- N Lukianova
- R.E. Kavetsky Institute of Experimental Pathology, Oncology and Radiobiology, National Academy of Sciences of Ukraine, Kyiv, Ukraine
| | - Т Zadvornyi
- R.E. Kavetsky Institute of Experimental Pathology, Oncology and Radiobiology, National Academy of Sciences of Ukraine, Kyiv, Ukraine
| | - Т Borikun
- R.E. Kavetsky Institute of Experimental Pathology, Oncology and Radiobiology, National Academy of Sciences of Ukraine, Kyiv, Ukraine
| | - О Mushii
- R.E. Kavetsky Institute of Experimental Pathology, Oncology and Radiobiology, National Academy of Sciences of Ukraine, Kyiv, Ukraine
| | - А Pavlova
- R.E. Kavetsky Institute of Experimental Pathology, Oncology and Radiobiology, National Academy of Sciences of Ukraine, Kyiv, Ukraine
| | - А Tymoshenko
- R.E. Kavetsky Institute of Experimental Pathology, Oncology and Radiobiology, National Academy of Sciences of Ukraine, Kyiv, Ukraine
| | - Е Stakhovskyi
- The State Non-Profit Enterprise "National Cancer Institute" of the Ministry of Health of Ukraine, Kyiv, Ukraine
| | - I Vitruk
- The State Non-Profit Enterprise "National Cancer Institute" of the Ministry of Health of Ukraine, Kyiv, Ukraine
| | - V Сhekhun
- R.E. Kavetsky Institute of Experimental Pathology, Oncology and Radiobiology, National Academy of Sciences of Ukraine, Kyiv, Ukraine
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Gómez Rivas J, Leenen RCA, Venderbos LDF, Helleman J, de la Parra I, Vasilyeva V, Moreno-Sierra J, Basu P, Chandran A, van den Bergh RCN, Collen S, Van Poppel H, Roobol MJ, Beyer K. Navigating through the Controversies and Emerging Paradigms in Early Detection of Prostate Cancer: Bridging the Gap from Classic RCTs to Modern Population-Based Pilot Programs. J Pers Med 2023; 13:1677. [PMID: 38138904 PMCID: PMC10744765 DOI: 10.3390/jpm13121677] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2023] [Revised: 11/11/2023] [Accepted: 11/27/2023] [Indexed: 12/24/2023] Open
Abstract
Over the last three decades, the European Randomized Study of Screening for Prostate Cancer (ERSPC) and the US-based Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening have steered the conversation around the early detection of prostate cancer. These two randomized trials assessed the effect of screening on prostate cancer disease-specific mortality. Elevated PSA levels were followed by a systematic sextant prostate biopsy. Standard repeat testing intervals were applied. After controversies from 2009 to 2016 due to contradicting results of the two trials, the results aligned in 2016 and showed that early PSA detection reduces prostate cancer-specific mortality. However, overdiagnosis rates of up to 50% were reported, and this sparked an intense debate on harms and benefits for almost 20 years. The balance between harms and benefits is highly debated and has initiated further research to investigate new ways of early detection. In the meantime, the knowledge and tools for the diagnostic algorithm improved. This is a continuously ongoing effort which focuses on individual risk-based screening algorithms that preserve the benefits of the purely PSA-based screening algorithms, while reducing the side effects. An important push towards investigating new techniques for early detection came from the European Commission on the 20th of September 2022. The European Commission published its updated recommendation to investigate prostate, lung, and gastric cancer early detection programs. This opened a new window of opportunity to move away from the trial setting to population-based early detection settings. With this review, we aim to review 30 years of historical evidence of prostate cancer screening, which led to the initiation of the 'The Prostate Cancer Awareness and Initiative for Screening in the European Union' (PRAISE-U) project, which aims to encourage the early detection and diagnosis of PCa through customized and risk-based screening programs.
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Affiliation(s)
- Juan Gómez Rivas
- Department of Urology, Health Research Institute, Hospital Clinico San Carlos, 28040 Madrid, Spain; (I.d.l.P.); (J.M.-S.)
| | - Renée C. A. Leenen
- Department of Urology, Erasmus MC Cancer Institute, University Medical Center, 3015 GD Rotterdam, The Netherlands; (R.C.A.L.); (L.D.F.V.); (J.H.); (R.C.N.v.d.B.); (M.J.R.); (K.B.)
| | - Lionne D. F. Venderbos
- Department of Urology, Erasmus MC Cancer Institute, University Medical Center, 3015 GD Rotterdam, The Netherlands; (R.C.A.L.); (L.D.F.V.); (J.H.); (R.C.N.v.d.B.); (M.J.R.); (K.B.)
| | - Jozien Helleman
- Department of Urology, Erasmus MC Cancer Institute, University Medical Center, 3015 GD Rotterdam, The Netherlands; (R.C.A.L.); (L.D.F.V.); (J.H.); (R.C.N.v.d.B.); (M.J.R.); (K.B.)
| | - Irene de la Parra
- Department of Urology, Health Research Institute, Hospital Clinico San Carlos, 28040 Madrid, Spain; (I.d.l.P.); (J.M.-S.)
| | - Vera Vasilyeva
- European Association of Urology, Guidelines Office, PO Box 30016 6803 AA Arnhem, The Netherlands; (V.V.); (S.C.)
- European Association of Urology, EAU Policy Office, PO Box 30016 6803 AA Arnhem, The Netherlands;
| | - Jesús Moreno-Sierra
- Department of Urology, Health Research Institute, Hospital Clinico San Carlos, 28040 Madrid, Spain; (I.d.l.P.); (J.M.-S.)
| | - Partha Basu
- International Agency for Research on Cancer, World Health Organization, 69366 Lyon, France; (P.B.); (A.C.)
| | - Arunah Chandran
- International Agency for Research on Cancer, World Health Organization, 69366 Lyon, France; (P.B.); (A.C.)
| | - Roderick C. N. van den Bergh
- Department of Urology, Erasmus MC Cancer Institute, University Medical Center, 3015 GD Rotterdam, The Netherlands; (R.C.A.L.); (L.D.F.V.); (J.H.); (R.C.N.v.d.B.); (M.J.R.); (K.B.)
- Department of Urology, Sint Antonius Hospital, 3543 AZ Utrecht, The Netherlands
| | - Sarah Collen
- European Association of Urology, Guidelines Office, PO Box 30016 6803 AA Arnhem, The Netherlands; (V.V.); (S.C.)
- European Association of Urology, EAU Policy Office, PO Box 30016 6803 AA Arnhem, The Netherlands;
| | - Hein Van Poppel
- European Association of Urology, EAU Policy Office, PO Box 30016 6803 AA Arnhem, The Netherlands;
- Department of Urology, KU Leuven, 3000 Leuven, Belgium
| | - Monique J. Roobol
- Department of Urology, Erasmus MC Cancer Institute, University Medical Center, 3015 GD Rotterdam, The Netherlands; (R.C.A.L.); (L.D.F.V.); (J.H.); (R.C.N.v.d.B.); (M.J.R.); (K.B.)
| | - Katharina Beyer
- Department of Urology, Erasmus MC Cancer Institute, University Medical Center, 3015 GD Rotterdam, The Netherlands; (R.C.A.L.); (L.D.F.V.); (J.H.); (R.C.N.v.d.B.); (M.J.R.); (K.B.)
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Ferro M, Rocco B, Maggi M, Lucarelli G, Falagario UG, Del Giudice F, Crocetto F, Barone B, La Civita E, Lasorsa F, Brescia A, Catellani M, Busetto GM, Tataru OS, Terracciano D. Beyond blood biomarkers: the role of SelectMDX in clinically significant prostate cancer identification. Expert Rev Mol Diagn 2023; 23:1061-1070. [PMID: 37897252 DOI: 10.1080/14737159.2023.2277366] [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: 07/06/2023] [Accepted: 10/26/2023] [Indexed: 10/30/2023]
Abstract
INTRODUCTION New potential biomarkers to pre-intervention identification of a clinically significant prostate cancer (csPCa) will prevent overdiagnosis and overtreatment and limit quality of life impairment of PCa patients. AREAS COVERED We have developed a comprehensive review focusing our research on the increasing knowledge of the role of SelectMDX® in csPCa detection. Areas identified as clinically relevant are the ability of SelectMDX® to predict csPCa in active surveillance setting, its predictive ability when combined with multiparametric MRI and the role of SelectMDX® in the landscape of urinary biomarkers. EXPERT OPINION Several PCa biomarkers have been developed either alone or in combination with clinical variables to improve csPCa detection. SelectMDX® score includes genomic markers, age, PSA, prostate volume, and digital rectal examination. Several studies have shown consistency in the ability to improve detection of csPCa, avoidance of unnecessary prostate biopsies, helpful in decision-making for clinical benefit of PCa patients with future well designed, and impactful studies.
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Affiliation(s)
- Matteo Ferro
- Department of Urology, IEO - European Institute of Oncology, IRCCS - Istituto di Ricovero e Cura a Carattere Scientifico, via Ripamonti 435, Milan 20141, Italy
| | - Bernardo Rocco
- Unit of Urology, Department of Health Science, University of Milan, ASST Santi Paolo and Carlo, Via A. Di Rudini 8, Milan 20142, Italy
| | - Martina Maggi
- Department of Maternal Infant and Urologic Sciences, Policlinico Umberto I Hospital, Sapienza University of Rome, Piazzale Aldo Moro 5, 00185, Rome, Italy
| | - Giuseppe Lucarelli
- Urology, Andrology and Kidney Transplantation Unit, Department of Emergency and Organ Transplantation, University of Bari, Piazza Umberto I - 70121, Bari, Italy
| | - Ugo Giovanni Falagario
- Department of Urology and Organ Transplantation, University of Foggia, Via A.Gramsci 89/91, 71122 Foggia, Italy
| | - Francesco Del Giudice
- Department of Maternal Infant and Urologic Sciences, Policlinico Umberto I Hospital, Sapienza University of Rome, Piazzale Aldo Moro 5, 00185, Rome, Italy
| | - Felice Crocetto
- Department of Neurosciences and Reproductive Sciences and Odontostomatology, University of Naples Federico II, Via Pansini, 5 - 80131, Naples, Italy
| | - Biagio Barone
- Department of Surgical Sciences, Urology Unit, AORN Sant'Anna e San Sebastiano, Caserta, Via Ferdinando Palasciano, 81100 Caserta , Italy
| | - Evelina La Civita
- Department of Translational Medical Sciences, University of Naples "Federico II", Corso Umberto I 40 - 80138 Naples, Italy
| | - Francesco Lasorsa
- Urology, Andrology and Kidney Transplantation Unit, Department of Emergency and Organ Transplantation, University of Bari, Piazza Umberto I - 70121, Bari, Italy
| | - Antonio Brescia
- Department of Urology, IEO - European Institute of Oncology, IRCCS - Istituto di Ricovero e Cura a Carattere Scientifico, via Ripamonti 435, Milan 20141, Italy
| | - Michele Catellani
- Department of Urology, IEO - European Institute of Oncology, IRCCS - Istituto di Ricovero e Cura a Carattere Scientifico, via Ripamonti 435, Milan 20141, Italy
| | - Gian Maria Busetto
- Department of Urology and Organ Transplantation, University of Foggia, Via A.Gramsci 89/91, 71122 Foggia, Italy
| | - Octavian Sabin Tataru
- Department of Simulation Applied in Medicine, George Emil Palade University of Medicine, Pharmacy, Science and Technology of Târgu Mures, Gh Marinescu 35, 540142 Târgu Mures, Romania
| | - Daniela Terracciano
- Department of Translational Medical Sciences, University of Naples "Federico II", Corso Umberto I 40 - 80138 Naples, Italy
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Abedi AR, Mafi AR, Tabatabaeimehr SY, Nozari H, Allameh F. Systematic Evaluation of Studies in the Fields of Diagnosis and Management of Prostate Cancer in Coronavirus Disease 2019 Era. INTERNATIONAL JOURNAL OF CANCER MANAGEMENT 2023. [DOI: 10.5812/ijcm-130922] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/07/2023]
Abstract
Background: Prostate cancer is one of the most common cancers worldwide. The proper management of this cancer during the coronavirus disease 2019 (COVID-19) or similar outbreaks could be a serious challenge. Proper timing of surgery, radiotherapy, and other medical modalities are essential in providing the most effective treatment. Objectives: This systematic review aimed at evaluating the proper management of prostate cancer during the COVID-19 outbreak. Methods: This study was conducted from 2019 to 2022. An internet search was conducted using the keywords: Diagnosis, management, radical prostatectomy, radiotherapy, hormone ablation therapy, chemotherapy and prostate cancer, and COVID-19. The visited databases included PubMed, Scopus, Web of Sciences, Google Scholar, and Scientific Information Database. The review was performed based on the preferred reporting items for a systematic review and meta-analyses (PRISMA) guidelines. Results: Postponing the biopsy for up to three months and adopting of non-invasive diagnostic methods were likely reasonable during the COVID-19 pandemic. Patients with cancer were more prone to severe injuries and were more likely to have serious complications. Surgery, radiation therapy, brachytherapy, palliative radiation, hormone ablation therapy, and chemotherapy were among the pre-institutional treatments that had to be performed according to medical protocols as well as health and professional guidelines. Conclusions: It was recommended that the prostate cancer screening should not be performed for asymptomatic men during the COVID-19 outbreak. It was also suggested that the treatment should be performed in the shortest possible time and in the safest way.
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Berenguer CV, Pereira F, Câmara JS, Pereira JAM. Underlying Features of Prostate Cancer-Statistics, Risk Factors, and Emerging Methods for Its Diagnosis. Curr Oncol 2023; 30:2300-2321. [PMID: 36826139 PMCID: PMC9955741 DOI: 10.3390/curroncol30020178] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Revised: 02/09/2023] [Accepted: 02/12/2023] [Indexed: 02/17/2023] Open
Abstract
Prostate cancer (PCa) is the most frequently occurring type of malignant tumor and a leading cause of oncological death in men. PCa is very heterogeneous in terms of grade, phenotypes, and genetics, displaying complex features. This tumor often has indolent growth, not compromising the patient's quality of life, while its more aggressive forms can manifest rapid growth with progression to adjacent organs and spread to lymph nodes and bones. Nevertheless, the overtreatment of PCa patients leads to important physical, mental, and economic burdens, which can be avoided with careful monitoring. Early detection, even in the cases of locally advanced and metastatic tumors, provides a higher chance of cure, and patients can thus go through less aggressive treatments with fewer side effects. Furthermore, it is important to offer knowledge about how modifiable risk factors can be an effective method for reducing cancer risk. Innovations in PCa diagnostics and therapy are still required to overcome some of the limitations of the current screening techniques, in terms of specificity and sensitivity. In this context, this review provides a brief overview of PCa statistics, reporting its incidence and mortality rates worldwide, risk factors, and emerging screening strategies.
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Affiliation(s)
- Cristina V. Berenguer
- CQM—Centro de Química da Madeira, NPRG, Campus da Penteada, Universidade da Madeira, 9020-105 Funchal, Portugal
| | - Ferdinando Pereira
- SESARAM—Serviço de Saúde da Região Autónoma da Madeira, EPERAM, Hospital Dr. Nélio Mendonça, Avenida Luís de Camões 6180, 9000-177 Funchal, Portugal
| | - José S. Câmara
- CQM—Centro de Química da Madeira, NPRG, Campus da Penteada, Universidade da Madeira, 9020-105 Funchal, Portugal
- Departamento de Química, Faculdade de Ciências Exatas e Engenharia, Campus da Penteada, Universidade da Madeira, 9020-105 Funchal, Portugal
| | - Jorge A. M. Pereira
- CQM—Centro de Química da Madeira, NPRG, Campus da Penteada, Universidade da Madeira, 9020-105 Funchal, Portugal
- Correspondence:
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9
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Falagario UG, Busetto GM, Recchia M, Tocci E, Selvaggio O, Ninivaggi A, Milillo P, Macarini L, Sanguedolce F, Mancini V, Annese P, Bettocchi C, Carrieri G, Cormio L. Foggia Prostate Cancer Risk Calculator 2.0: A Novel Risk Calculator including MRI and Bladder Outlet Obstruction Parameters to Reduce Unnecessary Biopsies. Int J Mol Sci 2023; 24:ijms24032449. [PMID: 36768769 PMCID: PMC9917125 DOI: 10.3390/ijms24032449] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 01/16/2023] [Accepted: 01/18/2023] [Indexed: 01/28/2023] Open
Abstract
Risk calculator (RC) combining PSA with other clinical information can help to better select patients at risk of prostate cancer (PCa) for prostate biopsy. The present study aimed to develop a new Pca RC, including MRI and bladder outlet obstruction parameters (BOOP). The ability of these parameters in predicting PCa and clinically significant PCa (csPCa: ISUP GG ≥ 2) was assessed by binary logistic regression. A total of 728 patients were included from two institutions. Of these, 395 (54.3%) had negative biopsies and 161 (22.11%) and 172 (23.6%) had a diagnosis of ISUP GG1 PCa and csPCa. The two RC ultimately included age, PSA, DRE, prostate volume (pVol), post-voided residual urinary volume (PVR), and PIRADS score. Regarding BOOP, higher prostate volumes (csPCa: OR 0.98, CI 0.97,0.99) and PVR ≥ 50 mL (csPCa: OR 0.27, CI 0.15, 0.47) were protective factors for the diagnosis of any PCa and csPCa. AUCs after internal validation were 0.78 (0.75, 0.82) and 0.82 (0.79, 0.86), respectively. Finally, decision curves analysis demonstrated higher benefit compared to the first-generation calculator and MRI alone. These novel RC based on MRI and BOOP may help to better select patient for prostate biopsy after prostate MRI.
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Affiliation(s)
- Ugo Giovanni Falagario
- Department of Urology and Organ Transplantation, University of Foggia, 71122 Foggia, Italy
| | - Gian Maria Busetto
- Department of Urology and Organ Transplantation, University of Foggia, 71122 Foggia, Italy
- Correspondence:
| | - Marco Recchia
- Department of Urology and Organ Transplantation, University of Foggia, 71122 Foggia, Italy
| | - Edoardo Tocci
- Department of Urology and Organ Transplantation, University of Foggia, 71122 Foggia, Italy
| | - Oscar Selvaggio
- Department of Urology and Organ Transplantation, University of Foggia, 71122 Foggia, Italy
| | - Antonella Ninivaggi
- Department of Urology and Organ Transplantation, University of Foggia, 71122 Foggia, Italy
| | - Paola Milillo
- Department of Radiology, University of Foggia, 71122 Foggia, Italy
| | - Luca Macarini
- Department of Radiology, University of Foggia, 71122 Foggia, Italy
| | | | - Vito Mancini
- Department of Urology and Organ Transplantation, University of Foggia, 71122 Foggia, Italy
| | - Pasquale Annese
- Department of Urology and Organ Transplantation, University of Foggia, 71122 Foggia, Italy
| | - Carlo Bettocchi
- Department of Urology and Organ Transplantation, University of Foggia, 71122 Foggia, Italy
| | - Giuseppe Carrieri
- Department of Urology and Organ Transplantation, University of Foggia, 71122 Foggia, Italy
| | - Luigi Cormio
- Department of Urology and Organ Transplantation, University of Foggia, 71122 Foggia, Italy
- Department of Urology, Bonomo Teaching Hospital, 76123 Andria, Italy
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10
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Bennett A, Beck A, Shaver N, Grad R, LeBlanc A, Limburg H, Gray C, Abou-Setta A, Klarenbach S, Persaud N, Thériault G, Thombs BD, Todd KJ, Bell N, Dahm P, Loblaw A, Del Giudice L, Yao X, Skidmore B, Rolland-Harris E, Brouwers M, Little J, Moher D. Screening for prostate cancer: protocol for updating multiple systematic reviews to inform a Canadian Task Force on Preventive Health Care guideline update. Syst Rev 2022; 11:230. [PMID: 36289518 PMCID: PMC9609189 DOI: 10.1186/s13643-022-02099-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Accepted: 10/10/2022] [Indexed: 11/25/2022] Open
Abstract
PURPOSE To inform updated recommendations by the Canadian Task Force on Preventive Health Care on screening for prostate cancer in adults aged 18 years and older in primary care. This protocol outlines the planned scope and methods for a series of systematic reviews. METHODS Updates of two systematic reviews and a de novo review will be conducted to synthesize the evidence on the benefits and harms of screening for prostate cancer with a prostate-specific antigen (PSA) and/or digital rectal examination (DRE) (with or without additional information) and patient values and preferences. Outcomes for the benefits of screening include reduced prostate cancer mortality, all-cause mortality, and incidence of metastatic prostate cancer. Outcomes for the harms of screening include false-positive screening tests, overdiagnosis, complications due to biopsy, and complications of treatment including incontinence (urinary or bowel), and erectile dysfunction. The quality of life or functioning (overall and disease-specific) and psychological effects outcomes are considered as a possible benefit or harm. Outcomes for the values and preferences review include quantitative or qualitative information regarding the choice to screen or intention to undergo screening. For the reviews on benefits or harms, we will search for randomized controlled trials, quasi-randomized, and controlled studies in MEDLINE, Embase, and the Cochrane Central Register of Controlled Trials. For the review on values and preferences, we will search for experimental or observational studies in MEDLINE, Embase, and PsycInfo. For all reviews, we will also search websites of relevant organizations, gray literature, and reference lists of included studies. Title and abstract screening, full-text review, data extraction, and risk of bias assessments will be completed independently by pairs of reviewers with any disagreements resolved by consensus or by consulting with a third reviewer. The GRADE (Grading of Recommendations Assessment, Development and Evaluation) approach will be used to assess the certainty of the evidence for each outcome. DISCUSSION The series of systematic reviews will be used by the Canadian Task Force on Preventive Health Care to update their 2014 guideline on screening for prostate cancer in adults aged 18 years and older. Systematic review registration This review has been registered with PROSPERO (CRD42022314407) and is available on the Open Science Framework (osf.io/dm32k).
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Affiliation(s)
- Alexandria Bennett
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada.
| | - Andrew Beck
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Nicole Shaver
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Roland Grad
- Department of Family Medicine, McGill University, Montreal, Quebec, Canada
| | - Allana LeBlanc
- Global Health and Guidelines Division, Public Health Agency of Canada, Ottawa, Canada
| | - Heather Limburg
- Global Health and Guidelines Division, Public Health Agency of Canada, Ottawa, Canada
| | - Casey Gray
- Global Health and Guidelines Division, Public Health Agency of Canada, Ottawa, Canada
| | - Ahmed Abou-Setta
- Department of Community Health Sciences, Max Rady College of Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Scott Klarenbach
- Department of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada
| | - Navindra Persaud
- Department of Family and Community Medicine, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Guylène Thériault
- Department of Family Medicine, McGill University, Montreal, Quebec, Canada
| | - Brett D Thombs
- Lady Davis Institute of the Jewish General Hospital and Faculty of Medicine, McGill University, Montreal, Quebec, Canada
| | - Keith J Todd
- Department of Family Medicine, McGill University, Montreal, Quebec, Canada
| | - Neil Bell
- Department of Family Medicine, University of Alberta, Edmonton, Alberta, Canada
| | - Philipp Dahm
- Urology Section, Minneapolis VA Healthcare System and Department of Urology, University of Minnesota, Minneapolis, Minnesota, USA
| | - Andrew Loblaw
- Evaluative Clinical Sciences, Odette Cancer Research Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada
| | - Lisa Del Giudice
- Department of Family and Community Medicine, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Xiaomei Yao
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
| | - Becky Skidmore
- Independent Information Specialist, Ottawa, Ontario, Canada
| | | | - Melissa Brouwers
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Julian Little
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - David Moher
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada.,Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
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11
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Magnetic Resonance Imaging-Based Predictive Models for Clinically Significant Prostate Cancer: A Systematic Review. Cancers (Basel) 2022; 14:cancers14194747. [PMID: 36230670 PMCID: PMC9562712 DOI: 10.3390/cancers14194747] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Revised: 09/21/2022] [Accepted: 09/23/2022] [Indexed: 11/18/2022] Open
Abstract
Simple Summary Magnetic resonance imaging (MRI) has allowed the early detection of PCa to evolve towards clinically significant PCa (csPCa), decreasing unnecessary prostate biopsies and overdetection of insignificant tumours. MRI identifies suspicious lesions of csPCa, predicting the semi-quantitative risk through the prostate imaging report and data system (PI-RADS), and enables guided biopsies, increasing the sensitivity of csPCa. Predictive models that individualise the risk of csPCa have also evolved adding PI-RADS score (MRI-PMs), improving the selection of candidates for prostate biopsy beyond the PI-RADS category. During the last five years, many MRI-PMs have been developed. Our objective is to analyse the current developed MRI-PMs and define their clinical usefulness through a systematic review. We have found high heterogeneity between MRI technique, PI-RADS versions, biopsy schemes and approaches, and csPCa definitions. MRI-PMs outperform the selection of candidates for prostate biopsy beyond MRI alone and PMs based on clinical predictors. However, few developed MRI-PMs are externally validated or have available risk calculators (RCs), which constitute the appropriate requirements used in routine clinical practice. Abstract MRI can identify suspicious lesions, providing the semi-quantitative risk of csPCa through the Prostate Imaging-Report and Data System (PI-RADS). Predictive models of clinical variables that individualise the risk of csPCa have been developed by adding PI-RADS score (MRI-PMs). Our objective is to analyse the current developed MRI-PMs and define their clinical usefulness. A systematic review was performed after a literature search performed by two independent investigators in PubMed, Cochrane, and Web of Science databases, with the Medical Subjects Headings (MESH): predictive model, nomogram, risk model, magnetic resonance imaging, PI-RADS, prostate cancer, and prostate biopsy. This review was made following the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) criteria and studied eligibility based on the Participants, Intervention, Comparator, and Outcomes (PICO) strategy. Among 723 initial identified registers, 18 studies were finally selected. Warp analysis of selected studies was performed with the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool. Clinical predictors in addition to the PI-RADS score in developed MRI-PMs were age, PCa family history, digital rectal examination, biopsy status (initial vs. repeat), ethnicity, serum PSA, prostate volume measured by MRI, or calculated PSA density. All MRI-PMs improved the prediction of csPCa made by clinical predictors or imaging alone and achieved most areas under the curve between 0.78 and 0.92. Among 18 developed MRI-PMs, 7 had any external validation, and two RCs were available. The updated PI-RADS version 2 was exclusively used in 11 MRI-PMs. The performance of MRI-PMs according to PI-RADS was only analysed in a single study. We conclude that MRI-PMs improve the selection of candidates for prostate biopsy beyond the PI-RADS category. However, few developed MRI-PMs meet the appropriate requirements in routine clinical practice.
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12
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Siltari A, Lönnerbro R, Pang K, Shiranov K, Asiimwe A, Evans-Axelsson S, Franks B, Kiran A, Murtola TJ, Schalken J, Steinbeisser C, Bjartell A, Auvinen A, Smith E, N'Dow J, Plass K, Ribal M, Mottet N, Moris L, Lardas M, Van den Broeck T, Willemse PP, Gandaglia G, Campi R, Greco I, Gacci M, Serni S, Briganti A, Crosti D, Meoni M, Garzonio R, Bangma R, Roobol M, Remmers S, Tilki D, Visakorpi T, Talala K, Tammela T, van Hemelrijck M, Bayer K, Lejeune S, Taxiarchopoulou G, van Diggelen F, Senthilkumar K, Schutte S, Byrne S, Fialho L, Cardone A, Gono P, De Vetter M, Ceke K, De Meulder B, Auffray C, Balaur IA, Taibi N, Power S, Kermani NZ, van Bochove K, Cavelaars M, Moinat M, Voss E, Bernini C, Horgan D, Fullwood L, Holtorf M, Lancet D, Bernstein G, Omar I, MacLennan S, Maclennan S, Healey J, Huber J, Wirth M, Froehner M, Brenner B, Borkowetz A, Thomas C, Horn F, Reiche K, Kreux M, Josefsson A, Tandefekt DG, Hugosson J, Huisman H, Hofmacher T, Lindgren P, Andersson E, Fridhammar A, Vizcaya D, Verholen F, Zong J, Butler-Ransohoff JE, Williamson T, Chandrawansa K, Dlamini D, waldeck R, Molnar M, Bruno A, Herrera R, Jiang S, Nevedomskaya E, Fatoba S, Constantinovici N, Maass M, Torremante P, Voss M, Devecseri Z, Cuperus G, Abott T, Dau C, Papineni K, Wang-Silvanto J, Hass S, Snijder R, Doye V, Wang X, Garnham A, Lambrecht M, Wolfinger R, Rogiers S, Servan A, Lefresne F, Caseriego J, Samir M, Lawson J, Pacoe K, Robinson P, Jaton B, Bakkard D, Turunen H, Kilkku O, Pohjanjousi P, Voima O, Nevalaita L, Reich C, Araujo S, Longden-Chapman E, Burke D, Agapow P, Derkits S, Licour M, McCrea C, Payne S, Yong A, Thompson L, Lujan F, Bussmann M, Köhler I. How well do polygenic risk scores identify men at high risk for prostate cancer? Systematic review and meta-analysis. Clin Genitourin Cancer 2022; 21:316.e1-316.e11. [PMID: 36243664 DOI: 10.1016/j.clgc.2022.09.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Revised: 09/01/2022] [Accepted: 09/06/2022] [Indexed: 11/27/2022]
Abstract
OBJECTIVES Genome-wide association studies have revealed over 200 genetic susceptibility loci for prostate cancer (PCa). By combining them, polygenic risk scores (PRS) can be generated to predict risk of PCa. We summarize the published evidence and conduct meta-analyses of PRS as a predictor of PCa risk in Caucasian men. PATIENTS AND METHODS Data were extracted from 59 studies, with 16 studies including 17 separate analyses used in the main meta-analysis with a total of 20,786 cases and 69,106 controls identified through a systematic search of ten databases. Random effects meta-analysis was used to obtain pooled estimates of area under the receiver-operating characteristic curve (AUC). Meta-regression was used to assess the impact of number of single-nucleotide polymorphisms (SNPs) incorporated in PRS on AUC. Heterogeneity is expressed as I2 scores. Publication bias was evaluated using funnel plots and Egger tests. RESULTS The ability of PRS to identify men with PCa was modest (pooled AUC 0.63, 95% CI 0.62-0.64) with moderate consistency (I2 64%). Combining PRS with clinical variables increased the pooled AUC to 0.74 (0.68-0.81). Meta-regression showed only negligible increase in AUC for adding incremental SNPs. Despite moderate heterogeneity, publication bias was not evident. CONCLUSION Typically, PRS accuracy is comparable to PSA or family history with a pooled AUC value 0.63 indicating mediocre performance for PRS alone.
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13
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Van Poppel H, Albreht T, Basu P, Hogenhout R, Collen S, Roobol M. Serum PSA-based early detection of prostate cancer in Europe and globally: past, present and future. Nat Rev Urol 2022; 19:562-572. [PMID: 35974245 DOI: 10.1038/s41585-022-00638-6] [Citation(s) in RCA: 52] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/14/2022] [Indexed: 12/14/2022]
Abstract
In the pre-PSA-detection era, a large proportion of men were diagnosed with metastatic prostate cancer and died of the disease; after the introduction of the serum PSA test, randomized controlled prostate cancer screening trials in the USA and Europe were conducted to assess the effect of PSA screening on prostate cancer mortality. Contradictory outcomes of the trials and the accompanying overdiagnosis resulted in recommendations against prostate cancer screening by organizations such as the United States Preventive Services Task Force. These recommendations were followed by a decline in PSA testing and a rise in late-stage diagnosis and prostate cancer mortality. Re-evaluation of the randomized trials, which accounted for contamination, showed that PSA-based screening does indeed reduce prostate cancer mortality; however, the debate about whether to screen or not to screen continues because of the considerable overdiagnosis that occurs using PSA-based screening. Meanwhile, awareness among the population of prostate cancer as a potentially lethal disease stimulates opportunistic screening practices that further increase overdiagnosis without the benefit of mortality reduction. However, in the past decade, new screening tools have been developed that make the classic PSA-only-based screening an outdated strategy. With improved use of PSA, in combination with age, prostate volume and with the application of prostate cancer risk calculators, a risk-adapted strategy enables improved stratification of men with prostate cancer and avoidance of unnecessary diagnostic procedures. This combination used with advanced detection techniques (such as MRI and targeted biopsy), can reduce overdiagnosis. Moreover, new biomarkers are becoming available and will enable further improvements in risk stratification.
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Affiliation(s)
| | - Tit Albreht
- National Institute of Public Health, Ljubljana, Slovenia
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Partha Basu
- International Agency for Research on Cancer, Lyon, France
| | - Renée Hogenhout
- Erasmus University Medical Center, Cancer Institute, Rotterdam, Netherlands
| | - Sarah Collen
- European Association of Urology, Arnhem, Netherlands
| | - Monique Roobol
- Erasmus University Medical Center, Cancer Institute, Rotterdam, Netherlands
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14
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Meade W, Weber A, Phan T, Hampston E, Resa LF, Nagy J, Kuang Y. High Accuracy Indicators of Androgen Suppression Therapy Failure for Prostate Cancer-A Modeling Study. Cancers (Basel) 2022; 14:cancers14164033. [PMID: 36011026 PMCID: PMC9406554 DOI: 10.3390/cancers14164033] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 08/13/2022] [Accepted: 08/18/2022] [Indexed: 11/23/2022] Open
Abstract
Simple Summary Hormonal therapy for prostate cancer is often applied past the point of resistance, hence losing any future clinical value to the evolution of resistant strains. If the undesirable outcome of the treatment is forewarned, then clinicians can have an opportunity to adjust the treatment, which can result in better management of the cancer. Using a mechanistic mathematical model, we introduce two methods to enhance the accuracy of classical biomarkers for hormonal therapy failure. Our results show the value in measuring both prostate-specific antigen and androgen during hormonal treatment, which can potentially allow for better management of prostate cancer. Abstract Prostate cancer is a serious public health concern in the United States. The primary obstacle to effective long-term management for prostate cancer patients is the eventual development of treatment resistance. Due to the uniquely chaotic nature of the neoplastic genome, it is difficult to determine the evolution of tumor composition over the course of treatment. Hence, a drug is often applied continuously past the point of effectiveness, thereby losing any potential treatment combination with that drug permanently to resistance. If a clinician is aware of the timing of resistance to a particular drug, then they may have a crucial opportunity to adjust the treatment to retain the drug’s usefulness in a potential treatment combination or strategy. In this study, we investigate new methods of predicting treatment failure due to treatment resistance using a novel mechanistic model built on an evolutionary interpretation of Droop cell quota theory. We analyze our proposed methods using patient PSA and androgen data from a clinical trial of intermittent treatment with androgen deprivation therapy. Our results produce two indicators of treatment failure. The first indicator, proposed from the evolutionary nature of the cancer population, is calculated using our mathematical model with a predictive accuracy of 87.3% (sensitivity: 96.1%, specificity: 65%). The second indicator, conjectured from the implication of the first indicator, is calculated directly from serum androgen and PSA data with a predictive accuracy of 88.7% (sensitivity: 90.2%, specificity: 85%). Our results demonstrate the potential and feasibility of using an evolutionary tumor dynamics model in combination with the appropriate data to aid in the adaptive management of prostate cancer.
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Affiliation(s)
- William Meade
- School of Mathematical and Statistical Sciences, Arizona State University, Tempe, AZ 85281, USA
| | - Allison Weber
- School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ 85281, USA
- College of Computing, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - Tin Phan
- Theoretical Biology and Biophysics Group, Los Alamos National Laboratory, Los Alamos, NM 87545, USA
| | - Emily Hampston
- Department of Mathematics, State University of New York, Buffalo, NY 14260, USA
| | - Laura Figueroa Resa
- School of Mathematical and Statistical Sciences, Arizona State University, Tempe, AZ 85281, USA
| | - John Nagy
- School of Mathematical and Statistical Sciences, Arizona State University, Tempe, AZ 85281, USA
- Department of Life Sciences, Scottsdale Community College, Scottsdale, AZ 85256, USA
| | - Yang Kuang
- School of Mathematical and Statistical Sciences, Arizona State University, Tempe, AZ 85281, USA
- Correspondence:
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Volatilomics: An Emerging and Promising Avenue for the Detection of Potential Prostate Cancer Biomarkers. Cancers (Basel) 2022; 14:cancers14163982. [PMID: 36010975 PMCID: PMC9406416 DOI: 10.3390/cancers14163982] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 08/09/2022] [Accepted: 08/16/2022] [Indexed: 12/20/2022] Open
Abstract
Simple Summary The lack of highly specific and sensitive biomarkers for the early detection of prostate cancer (PCa) is a major barrier to its management. Volatilomics emerged as a non-invasive, simple, inexpensive, and easy-to-use approach for cancer screening, characterization of disease progression, and follow-up of the treatment’s success. We provide a brief overview of the potential of volatile organic metabolites (VOMs) for the establishment of PCa biomarkers from non-invasive matrices. Endogenous VOMs have been investigated as potential biomarkers since changes in these VOMs can be characteristic of specific disease processes. Recent studies have shown that the conjugation of the prostate-specific antigen (PSA) screening with other methodologies, such as risk calculators, biomarkers, and imaging tests, can attenuate overdiagnosis and under-detection issues. This means that the combination of volatilomics with other methodologies could be extremely valuable for the differentiation of clinical phenotypes in a group of patients, providing more personalized treatments. Abstract Despite the spectacular advances in molecular medicine, including genomics, proteomics, transcriptomics, lipidomics, and personalized medicine, supported by the discovery of the human genome, prostate cancer (PCa) remains the most frequent malignant tumor and a leading cause of oncological death in men. New methods for prognostic, diagnostic, and therapy evaluation are mainly based on the combination of imaging techniques with other methodologies, such as gene or protein profiling, aimed at improving PCa management and surveillance. However, the lack of highly specific and sensitive biomarkers for its early detection is a major hurdle to this goal. Apart from classical biomarkers, the study of endogenous volatile organic metabolites (VOMs) biosynthesized by different metabolic pathways and found in several biofluids is emerging as an innovative, efficient, accessible, and non-invasive approach to establish the volatilomic biosignature of PCa patients, unravelling potential biomarkers. This review provides a brief overview of the challenges of PCa screening methods and emergent biomarkers. We also focus on the potential of volatilomics for the establishment of PCa biomarkers from non-invasive matrices.
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External validation of two mpMRI-risk calculators predicting risk of prostate cancer before biopsy. World J Urol 2022; 40:2451-2457. [PMID: 35941246 PMCID: PMC9512729 DOI: 10.1007/s00345-022-04119-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Accepted: 07/22/2022] [Indexed: 11/05/2022] Open
Abstract
Purpose Risk calculators (RC) aim to improve prebiopsy risk stratification. Their latest versions now include multiparametric magnetic resonance imaging (mpMRI) findings. For their implementation into clinical practice, critical external validations are needed. Methods We retrospectively analyzed the patient data of 554 men who underwent ultrasound-guided targeted and systematic prostate biopsies at 2 centers. We validated the mpMRI-RCs of Radtke et al. (RC-R) and Alberts et al. (RC-A), previously shown to predict prostate cancer (PCa) and clinically significant PCa (csPCa). We assessed these RCs’ prediction accuracy by analyzing the receiver-operating characteristics (ROC) curve and evaluated their clinical utility using Decision Curve Analysis (DCA), including Net-Benefit and Net-Reduction curves. Results We found that the Area Under the ROC Curve (AUC) for predicting PCa was 0.681 [confidence interval (CI) 95% 0.635–0.727] for RC-A. The AUCs for predicting csPCa were 0.635 (CI 95% 0.583–0.686) for RC-A and 0.676 (CI 95% 0.627–0.725) for RC-R. For example, at a risk threshold of 12%, RC-A needs to assess 334 and RC-R 500 patients to detect one additional true positive PCa or csPCa patient, respectively. At the same risk threshold of 12%, RC-A only needs to assess 6 and RC-R 16 patients to detect one additional true negative PCa or csPCa patient. Conclusion The mpMRI-RCs, RC-R and RC-A, are robust and valuable tools for patient counseling. Although they do not improve PCa and csPCa detection rates by a clinically meaningful margin, they aid in avoiding unnecessary prostate biopsies. Their implementation could reduce overdiagnosis and reduce PCa screening morbidity. Supplementary Information The online version contains supplementary material available at 10.1007/s00345-022-04119-8.
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External Validation of the Prostate Biopsy Collaborative Group Risk Calculator and the Rotterdam Prostate Cancer Risk Calculator in a Swedish Population-based Screening Cohort. EUR UROL SUPPL 2022; 41:1-7. [PMID: 35813248 PMCID: PMC9257644 DOI: 10.1016/j.euros.2022.04.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/14/2022] [Indexed: 11/24/2022] Open
Abstract
Background External validation of risk calculators (RCs) is necessary to determine their clinical applicability beyond the setting in which these were developed. Objective To assess the performance of the Rotterdam Prostate Cancer RC (RPCRC) and the Prostate Biopsy Collaborative Group RC (PBCG-RC). Design, setting, and participants We used data from the prospective, population-based STHLM3 screening study, performed in 2012–2015. Participants with prostate-specific antigen ≥3 ng/ml who underwent systematic prostate biopsies were included. Outcome measurements and statistical analysis Probabilities for clinically significant prostate cancer (csPCa), defined as International Society of Urological Pathology grade ≥2, were calculated for each participant. External validity was assessed by calibration, discrimination, and clinical usefulness for both original and recalibrated models. Results and limitations Out of 5841 men, 1054 (18%) had csPCa. Distribution of risk predictions differed between RCs; median risks for csPCa using the RPCRC and PBCG-RC were 3.3% (interquartile range [IQR] 2.1–7.1%) and 20% (IQR 15–28%), respectively. The correlation between RC risk estimates on individual level was moderate (Spearman’s r = 0.55). Using the RPCRC’s recommended risk threshold of ≥4% for finding csPCa, 36% of participants would get concordant biopsy recommendations. At 10% risk cut-off, RCs agreed in 23% of cases. Both RCs showed good discrimination, with areas under the curves for the RPCRC of 0.74 (95% confidence interval [CI] 0.72–0.76) and the PBCG-RC of 0.70 (95% CI 0.68–0.72). Calibration was adequate using the PBCG-RC (calibration slope: 1.13 [95% CI 1.03–1.23]), but the RPCRC underestimated the risk of csPCa (calibration slope: 0.73 [0.68–0.79]). The PBCG-RC showed a net benefit in a decision curve analysis, whereas the RPCRC showed no net benefit at clinically relevant risk threshold levels. Recalibration improved clinical benefit, and differences between RCs decreased. Conclusions Assessment of calibration is essential to ensure the clinical value of risk prediction tools. The PBCG-RC provided clinical benefit in its current version online. On the contrary, the RPCRC cannot be recommended in this setting. Patient summary Predicting the probability of finding prostate cancer on biopsy differed between two assessed risk calculators. After recalibration, the agreement of the models improved, and both were shown to be clinically useful.
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Application of Proteogenomics to Urine Analysis towards the Identification of Novel Biomarkers of Prostate Cancer: An Exploratory Study. Cancers (Basel) 2022; 14:cancers14082001. [PMID: 35454907 PMCID: PMC9031064 DOI: 10.3390/cancers14082001] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Revised: 04/12/2022] [Accepted: 04/13/2022] [Indexed: 12/15/2022] Open
Abstract
Simple Summary Prostate cancer (PCa) is one of the most common cancers. Due to the limited and invasive approaches for PCa diagnosis, it is crucial to identify more accurate and non-invasive biomarkers for its detection. The aim of our study was to non-invasively uncover new protein targets for detecting PCa using a proteomics and proteogenomics approach. This work identified several dysregulated mutant protein isoforms in urine from PCa patients, some of them predicted to have a protective or an adverse role in these patients. These results are promising given urine’s non-invasive nature and offers an auspicious opportunity for research and development of PCa biomarkers. Abstract To identify new protein targets for PCa detection, first, a shotgun discovery experiment was performed to characterize the urinary proteome of PCa patients. This revealed 18 differentially abundant urinary proteins in PCa patients. Second, selected targets were clinically tested by immunoblot, and the soluble E-cadherin fragment was detected for the first time in the urine of PCa patients. Third, the proteogenome landscape of these PCa patients was characterized, revealing 1665 mutant protein isoforms. Statistical analysis revealed 6 differentially abundant mutant protein isoforms in PCa patients. Analysis of the likely effects of mutations on protein function and PPIs involving the dysregulated mutant protein isoforms suggests a protective role of mutations HSPG2*Q1062H and VASN*R161Q and an adverse role of AMBP*A286G and CD55*S162L in PCa patients. This work originally characterized the urinary proteome, focusing on the proteogenome profile of PCa patients, which is usually overlooked in the analysis of PCa and body fluids. Combined analysis of mass spectrometry data using two different software packages was performed for the first time in the context of PCa, which increased the robustness of the data analysis. The application of proteogenomics to urine proteomic analysis can be very enriching in mutation-related diseases such as cancer.
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A Head-to-head Comparison of Prostate Cancer Diagnostic Strategies Using the Stockholm3 Test, Magnetic Resonance Imaging, and Swedish National Guidelines: Results from a Prospective Population-based Screening Study. EUR UROL SUPPL 2022; 38:32-39. [PMID: 35495282 PMCID: PMC9051970 DOI: 10.1016/j.euros.2022.01.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/25/2022] [Indexed: 11/20/2022] Open
Abstract
Background Strategies for early detection of prostate cancer aim to detect clinically significant prostate cancer (csPCa) and avoid detection of insignificant cancers and unnecessary biopsies. Swedish national guidelines (SNGs), years 2019 and 2020, involve prostate-specific antigen (PSA) testing, clinical variables, and magnetic resonance imaging (MRI). The Stockholm3 test and MRI have been suggested to improve selection of men for prostate biopsy. Performance of SNGs compared with the Stockholm3 test or MRI in a screening setting is unclear. Objective To compare strategies based on previous and current national guidelines, Stockholm3, and MRI to select patients for biopsy in a screening-by-invitation setting. Design, setting, and participants All participants underwent PSA test, and men with PSA ≥3 ng/ml underwent Stockholm3 testing and MRI. Men with Stockholm3 ≥11%, Prostate Imaging Reporting and Data System score ≥3 on MRI, or indication according to SNG-2019 or SNG-2020 were referred to biopsy. Outcome measurements and statistical analysis The primary outcome was the detection of csPCa at prostate biopsy, defined as an International Society of Urological Pathology (ISUP) grade of ≥2. Results and limitations We invited 8764 men from the general population, 272 of whom had PSA ≥3 ng/ml. The median PSA was 4.1 (interquartile range: 3.4–5.8), and 136 of 270 (50%) who underwent MRI lacked any pathological lesions. In total, 37 csPCa cases were diagnosed. Using SNG-2019, 36 csPCa cases with a high biopsy rate (179 of 272) were detected and 49 were diagnosed with ISUP 1 cancers. The Stockholm3 strategy diagnosed 32 csPCa cases, with 89 biopsied and 27 ISUP 1 cancers. SNG-2020 detected 32 csPCa and 33 ISUP 1 cancer patients, with 99 men biopsied, and the MRI strategy detected 30 csPCa and 35 ISUP 1 cancer cases by biopsying 123 men. The latter two strategies generated more MRI scans than the Stockholm3 strategy (n = 270 vs 33). Conclusions Previous guidelines provide high detection of significant cancer but at high biopsy rates and detection of insignificant cancer. The Stockholm3 test may improve diagnostic precision compared with the current guidelines or using only MRI. Patient summary The Stockholm3 test facilitates detection of significant cancer, and reduces the number of biopsies and detection of insignificant cancer.
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Zhou Z, Liang Z, Zuo Y, Zhou Y, Yan W, Wu X, Ji Z, Li H, Hu M, Ma L. Development of a nomogram combining multiparametric magnetic resonance imaging and PSA-related parameters to enhance the detection of clinically significant cancer across different region. Prostate 2022; 82:556-565. [PMID: 35098557 DOI: 10.1002/pros.24302] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Revised: 11/23/2021] [Accepted: 12/30/2021] [Indexed: 10/19/2022]
Abstract
OBJECTIVE Prostate cancer (PCa) is the most prevalent cancer among males. This study attempted to develop a clinically significant prostate cancer (csPCa) risk nomogram including Prostate Imaging-Reporting and Data System (PI-RADS) score and other clinical indexes for initial prostate biopsy in light of the different prostate regions, and internal validation was further conducted. PATIENTS AND METHODS A retrospective study was performed including 688 patients who underwent ultrasound-guided transperineal magnetic resonance imaging fusion prostate biopsy from December 2016 to July 2019. We constructed nomograms combining PI-RADS score and clinical variables (prostate-specific antigen [PSA], prostate volume (PV), age, free/total PSA, and PSA density) through univariate and multivariate logistic regression to identify patients eligible for biopsy. The performance of the predictive model was evaluated by bootstrap resampling. The area under the curve (AUC) of the receiver-operating characteristic (ROC) analysis was appointed to quantify the accuracy of the primary nomogram model for csPCa. Calibration curves were used to assess the agreement between the biopsy specimen and the predicted probability of the new nomogram. The χ2 test was also applied to evaluate the heterogeneity between fusion biopsy and systematic biopsy based on different PI-RADS scores and prostate regions. RESULTS A total of 320 of 688 included patients were diagnosed with csPCa. csPCa was defined as Gleason score ≥7. The ROC and concordance-index both presented good performance. The nomogram reached an AUC of 0.867 for predicting csPCa at the peripheral zone; meanwhile, AUC for transitional and apex zones were 0.889 and 0.757, respectively. Statistical significance was detected between fusion biopsy and systematic biopsy for PI-RADS score >3 lesions and lesions at the peripheral and transitional zones. CONCLUSION We produced a novel nomogram predicting csPCa in patients with suspected imaging according to different locations. Our results indicated that PI-RADS score combined with other clinical parameters showed a robust predictive capacity for csPCa before prostate biopsy. The new nomogram, which incorporates prebiopsy data including PSA, PV, age, and PI-RADS score, can be helpful for clinical decision-making to avoid unnecessary biopsy.
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Affiliation(s)
- Zhien Zhou
- Department of Urology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Zhen Liang
- Department of Urology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Yuzhi Zuo
- Department of Urology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Yi Zhou
- Department of Urology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Weigang Yan
- Department of Urology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Xingcheng Wu
- Department of Urology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Zhigang Ji
- Department of Urology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Hanzhong Li
- Department of Urology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Mengyao Hu
- Department of Urology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Lin Ma
- Department of Urology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
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21
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van Riel LA, Jager A, Meijer D, Postema AW, Smit RS, Vis AN, de Reijke TM, Beerlage HP, Oddens JR. Predictors of clinically significant prostate cancer in biopsy-naïve and prior negative biopsy men with a negative prostate MRI: improving MRI-based screening with a novel risk calculator. Ther Adv Urol 2022; 14:17562872221088536. [PMID: 35356754 PMCID: PMC8958520 DOI: 10.1177/17562872221088536] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Accepted: 03/03/2022] [Indexed: 12/23/2022] Open
Abstract
Purpose: A pre-biopsy decision aid is needed to counsel men with a clinical suspicion for clinically significant prostate cancer (csPCa), despite normal prostate magnetic resonance imaging (MRI). Methods: A risk calculator (RC) for csPCa (International Society of Urological Pathology grade group (ISUP) ⩾ 2) presence in men with a negative-MRI (Prostate Imaging–Reporting and Data System (PI-RADS) ⩽ 2) was developed, and its performance was compared with RCs of the European Randomized Study of Screening for Prostate Cancer (ERSPC), Prostate Biopsy Collaborative Group (PBCG), and Prospective Loyola University mpMRI (PLUM). All biopsy-naïve and prior negative biopsy men with a negative-MRI followed by systematic prostate biopsy were included from October 2015 to September 2021. The RC was developed using multivariable logistic regression with the following parameters: age (years), family history of PCa (first- or second-degree family member), ancestry (African Caribbean/other), digital rectal exam (benign/malignant), MRI field strength (1.5/3.0 Tesla), prior negative biopsy status, and prostate-specific antigen (PSA) density (ng/ml/cc). Performance of RCs was compared using receiver operating characteristic (ROC) curve analysis. Results: A total of 232 men were included for analysis, of which 18.1% had csPCa. Parameters associated with csPCa were family history of PCa (p < 0.0001), African Caribbean ancestry (p = 0.005), PSA density (p = 0.002), prior negative biopsy (p = 0.06), and age at biopsy (p = 0.157). The area under the curve (AUC) of the developed RC was 0.76 (95% CI 0.68–0.85). This was significantly better than the RCs of the ERSPC (AUC: 0.59; p = 0.001) and PBCG (AUC: 0.60; p = 0.002), yet similar to PLUM (AUC: 0.69; p = 0.09). Conclusion: The developed RC (Prostate Biopsy Cohort Amsterdam (‘PROBA’ RC), integrated predictors for csPCa at prostate biopsy in negative-MRI men and outperformed other widely used RCs. These findings require external validation before introduction in daily practice.
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Affiliation(s)
- Luigi A.M.J.G. van Riel
- Department of Urology, Prostate Cancer Network in the Netherlands, Amsterdam University Medical Centers, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands
| | - Auke Jager
- Department of Urology, Prostate Cancer Network in the Netherlands, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands
| | - Dennie Meijer
- Department of Urology, Prostate Cancer Network in the Netherlands, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands
| | - Arnoud W. Postema
- Department of Urology, Prostate Cancer Network in the Netherlands, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands
| | - Ruth S. Smit
- Department of Radiology, Amsterdam University Medical Centers, VU University, Amsterdam, The Netherlands
| | - André N. Vis
- Department of Urology, Prostate Cancer Network in the Netherlands, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands
| | - Theo M. de Reijke
- Department of Urology, Prostate Cancer Network in the Netherlands, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands
| | - Harrie P. Beerlage
- Department of Urology, Prostate Cancer Network in the Netherlands, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands
| | - Jorg R. Oddens
- Department of Urology, Prostate Cancer Network in the Netherlands, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands
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Ren S, Jin Y, Chen Y, Shen B. CRPMKB: a knowledge base of cancer risk prediction models for systematic comparison and personalized applications. Bioinformatics 2022; 38:1669-1676. [PMID: 34927675 DOI: 10.1093/bioinformatics/btab850] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Revised: 12/06/2021] [Accepted: 12/15/2021] [Indexed: 02/05/2023] Open
Abstract
MOTIVATION In the era of big data and precision medicine, accurate risk assessment is a prerequisite for the implementation of risk screening and preventive treatment. A large number of studies have focused on the risk of cancer, and related risk prediction models have been constructed, but there is a lack of effective resource integration for systematic comparison and personalized applications. Therefore, the establishment and analysis of the cancer risk prediction model knowledge base (CRPMKB) is of great significance. RESULTS The current knowledge base contains 802 model data. The model comparison indicates that the accuracy of cancer risk prediction was greatly affected by regional differences, cancer types and model types. We divided the model variables into four categories: environment, behavioral lifestyle, biological genetics and clinical examination, and found that there are differences in the distribution of various variables among different cancer types. Taking 50 genes involved in the lung cancer risk prediction models as an example to perform pathway enrichment analyses and the results showed that these genes were significantly enriched in p53 Signaling and Aryl Hydrocarbon Receptor Signaling pathways which are associated with cancer and specific diseases. In addition, we verified the biological significance of overlapping lung cancer genes via STRING database. CRPMKB was established to provide researchers an online tool for the future personalized model application and developing. This study of CRPMKB suggests that developing more targeted models based on specific demographic characteristics and cancer types will further improve the accuracy of cancer risk model predictions. AVAILABILITY AND IMPLEMENTATION CRPMKB is freely available at http://www.sysbio.org.cn/CRPMKB/. The data underlying this article are available in the article and in its online supplementary material. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Shumin Ren
- Institutes for Systems Genetics, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, Sichuan 610212, China
| | - Yanwen Jin
- Center for Systems Biology, Soochow University, Suzhou 215006, China
| | - Yalan Chen
- Department of Medical Informatics, School of Medicine, Nantong University, Nantong 226001, China
| | - Bairong Shen
- Institutes for Systems Genetics, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, Sichuan 610212, China
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23
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Brinkley GJ, Fang AM, Rais-Bahrami S. Integration of magnetic resonance imaging into prostate cancer nomograms. Ther Adv Urol 2022; 14:17562872221096386. [PMID: 35586139 PMCID: PMC9109484 DOI: 10.1177/17562872221096386] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Accepted: 04/05/2022] [Indexed: 11/16/2022] Open
Abstract
The decision whether to undergo prostate biopsy must be carefully weighed. Nomograms have widely been utilized as risk calculators to improve the identification of prostate cancer by weighing several clinical factors. The recent inclusion of multiparametric magnetic resonance imaging (mpMRI) findings into nomograms has drastically improved their nomogram's accuracy at identifying clinically significant prostate cancer. Several novel nomograms have incorporated mpMRI to aid in the decision-making process in proceeding with a prostate biopsy in patients who are biopsy-naïve, have a prior negative biopsy, or are on active surveillance. Furthermore, novel nomograms have incorporated mpMRI to aid in treatment planning of definitive therapy. This literature review highlights how the inclusion of mpMRI into prostate cancer nomograms has improved upon their performance, potentially reduce unnecessary procedures, and enhance the individual risk assessment by improving confidence in clinical decision-making by both patients and their care providers.
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Affiliation(s)
- Garrett J Brinkley
- Heersink School of Medicine, The University of Alabama at Birmingham, Birmingham, AL, USA
| | - Andrew M Fang
- Department of Urology, The University of Alabama at Birmingham, Birmingham, AL, USA
| | - Soroush Rais-Bahrami
- Department of Urology, The University of Alabama at Birmingham, Faculty Office Tower 1107, 510 20th Street South, Birmingham, AL 35294, USA
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Che B, Zhang W, Xu S, Yin J, He J, Huang T, Li W, Yu Y, Tang K. Prostate Microbiota and Prostate Cancer: A New Trend in Treatment. Front Oncol 2021; 11:805459. [PMID: 34956913 PMCID: PMC8702560 DOI: 10.3389/fonc.2021.805459] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2021] [Accepted: 11/22/2021] [Indexed: 01/01/2023] Open
Abstract
Although the incidence and mortality of prostate cancer have gradually begun to decline in the past few years, it is still one of the leading causes of death from malignant tumors in the world. The occurrence and development of prostate cancer are affected by race, family history, microenvironment, and other factors. In recent decades, more and more studies have confirmed that prostate microflora in the tumor microenvironment may play an important role in the occurrence, development, and prognosis of prostate cancer. Microorganisms or their metabolites may affect the occurrence and metastasis of cancer cells or regulate anti-cancer immune surveillance. In addition, the use of tumor microenvironment bacteria in interventional targeting therapy of tumors also shows a unique advantage. In this review, we introduce the pathway of microbiota into prostate cancer, focusing on the mechanism of microorganisms in tumorigenesis and development, as well as the prospect and significance of microorganisms as tumor biomarkers and tumor prevention and treatment.
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Affiliation(s)
- Bangwei Che
- Department of Urology, The Affiliated Hospital of Guizhou Medical University, Guiyang, China
| | - Wenjun Zhang
- Department of Urology, The Affiliated Hospital of Guizhou Medical University, Guiyang, China
| | - Shenghan Xu
- Department of Urology, The Affiliated Hospital of Guizhou Medical University, Guiyang, China
| | - Jingju Yin
- Department of Stomatology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China
| | - Jun He
- Department of Urology, The Affiliated Hospital of Guizhou Medical University, Guiyang, China
| | - Tao Huang
- Department of Urology, The Affiliated Hospital of Guizhou Medical University, Guiyang, China
| | - Wei Li
- Department of Urology, The Affiliated Hospital of Guizhou Medical University, Guiyang, China
| | - Ying Yu
- Department of Urology, The Affiliated Hospital of Guizhou Medical University, Guiyang, China
| | - Kaifa Tang
- Department of Urology, The Affiliated Hospital of Guizhou Medical University, Guiyang, China
- Institute of Medical Science of Guizhou Medical University, Guiyang, China
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25
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Barboi C, Tzavelis A, Muhammad LN. Comparison of Severity of Illness Scores and Artificial Intelligence Models Predictive of Intensive Care Unit Mortality: Meta-analysis and review of the literature (Preprint). JMIR Med Inform 2021; 10:e35293. [PMID: 35639445 PMCID: PMC9198821 DOI: 10.2196/35293] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Revised: 04/24/2022] [Accepted: 04/25/2022] [Indexed: 12/23/2022] Open
Affiliation(s)
- Cristina Barboi
- Indiana University Purdue University, Regenstrief Institue, Indianapolis, IN, United States
| | - Andreas Tzavelis
- Medical Scientist Training Program, Feinberg School of Medicine, Chicago, IL, United States
- Department of Biomedical Engineering, Northwestern University, Chicago, IL, United States
| | - Lutfiyya NaQiyba Muhammad
- Department of Preventive Medicine and Biostatistics, Northwestern University, Evanston, IL, United States
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Bakshi A, Riaz M, Orchard SG, Carr PR, Joshi AD, Cao Y, Rebello R, Nguyen-Dumont T, Southey MC, Millar JL, Gately L, Gibbs P, Ford LG, Parnes HL, Chan AT, McNeil JJ, Lacaze P. A Polygenic Risk Score Predicts Incident Prostate Cancer Risk in Older Men but Does Not Select for Clinically Significant Disease. Cancers (Basel) 2021; 13:5815. [PMID: 34830967 PMCID: PMC8616400 DOI: 10.3390/cancers13225815] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Revised: 11/17/2021] [Accepted: 11/18/2021] [Indexed: 12/24/2022] Open
Abstract
Despite the high prevalence of prostate cancer in older men, the predictive value of a polygenic risk score (PRS) remains uncertain in men aged ≥70 years. We used a 6.6 million-variant PRS to predict the risk of incident prostate cancer in a prospective study of 5701 men of European descent aged ≥70 years (mean age 75 years) enrolled in the ASPirin in Reducing Events in the Elderly (ASPREE) clinical trial. The study endpoint was prostate cancer, including metastatic or non-metastatic disease, confirmed by an expert panel. After excluding participants with a history of prostate cancer at enrolment, we used a multivariable Cox proportional hazards model to assess the association between the PRS and incident prostate cancer risk, adjusting for covariates. Additionally, we examined the distribution of Gleason grade groups by PRS group to determine if a higher PRS was associated with higher grade disease. We tested for interaction between the PRS and aspirin treatment. Logistic regression was used to independently assess the association of the PRS with prevalent (pre-trial) prostate cancer, reported in medical histories. During a median follow-up time of 4.6 years, 218 of the 5701 participants (3.8%) were diagnosed with prostate cancer. The PRS predicted incident risk with a hazard ratio (HR) of 1.52 per standard deviation (SD) (95% confidence interval (CI) 1.33-1.74, p < 0.001). Men in the top quintile of the PRS distribution had an almost three times higher risk of prostate cancer than men in the lowest quintile (HR = 2.99 (95% CI 1.90-4.27), p < 0.001). However, a higher PRS was not associated with a higher Gleason grade groups. We found no interaction between aspirin treatment and the PRS for prostate cancer risk. The PRS was also associated with prevalent prostate cancer (odds ratio = 1.80 per SD (95% CI 1.65-1.96), p < 0.001).While a PRS for prostate cancer is strongly associated with incident risk in men aged ≥70 years, the clinical utility of the PRS as a biomarker is currently limited by its inability to select for clinically significant disease.
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Affiliation(s)
- Andrew Bakshi
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia; (M.R.); (S.G.O.); (P.R.C.); (J.L.M.); (J.J.M.); (P.L.)
| | - Moeen Riaz
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia; (M.R.); (S.G.O.); (P.R.C.); (J.L.M.); (J.J.M.); (P.L.)
| | - Suzanne G. Orchard
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia; (M.R.); (S.G.O.); (P.R.C.); (J.L.M.); (J.J.M.); (P.L.)
| | - Prudence R. Carr
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia; (M.R.); (S.G.O.); (P.R.C.); (J.L.M.); (J.J.M.); (P.L.)
| | - Amit D. Joshi
- Clinical and Translational Epidemiology Unit, MGH Cancer Center, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02108, USA; (A.D.J.); (A.T.C.)
| | - Yin Cao
- Alvin J. Siteman Cancer Center, Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA;
| | - Richard Rebello
- Centre for Cancer Research, Department of Clinical Pathology, University of Melbourne, Melbourne, VIC 3010, Australia;
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, VIC 3010, Australia
| | - Tú Nguyen-Dumont
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Melbourne, VIC 3168, Australia; (T.N.-D.); (M.C.S.)
- Department of Clinical Pathology, University of Melbourne, Melbourne, VIC 3010, Australia
| | - Melissa C. Southey
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Melbourne, VIC 3168, Australia; (T.N.-D.); (M.C.S.)
- Department of Clinical Pathology, University of Melbourne, Melbourne, VIC 3010, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC 3004, Australia
| | - Jeremy L. Millar
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia; (M.R.); (S.G.O.); (P.R.C.); (J.L.M.); (J.J.M.); (P.L.)
- Alfred Health Radiation Oncology, Alfred Hospital, Melbourne, VIC 3004, Australia
- Central Clinical School, Monash University, Melbourne, VIC 3168, Australia
| | - Lucy Gately
- Personalised Oncology Division, Walter and Eliza Hall Institute Medical Research, Faculty of Medicine, University of Melbourne, Melbourne, VIC 3052, Australia; (L.G.); (P.G.)
| | - Peter Gibbs
- Personalised Oncology Division, Walter and Eliza Hall Institute Medical Research, Faculty of Medicine, University of Melbourne, Melbourne, VIC 3052, Australia; (L.G.); (P.G.)
| | - Leslie G. Ford
- Division of Cancer Prevention, National Cancer Institute, Rockville, MD 20892, USA; (L.G.F.); (H.L.P.)
| | - Howard L. Parnes
- Division of Cancer Prevention, National Cancer Institute, Rockville, MD 20892, USA; (L.G.F.); (H.L.P.)
| | - Andrew T. Chan
- Clinical and Translational Epidemiology Unit, MGH Cancer Center, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02108, USA; (A.D.J.); (A.T.C.)
| | - John J. McNeil
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia; (M.R.); (S.G.O.); (P.R.C.); (J.L.M.); (J.J.M.); (P.L.)
| | - Paul Lacaze
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia; (M.R.); (S.G.O.); (P.R.C.); (J.L.M.); (J.J.M.); (P.L.)
- Clinical and Translational Epidemiology Unit, MGH Cancer Center, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02108, USA; (A.D.J.); (A.T.C.)
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Jain H, Sood R, Faridi MS, Goel H, Sharma U. Role of 68Ga-PSMA-PET/CT for the detection of primary prostate cancer prior to biopsy: a prospective study. Cent European J Urol 2021; 74:315-320. [PMID: 34729219 PMCID: PMC8552950 DOI: 10.5173/ceju.2021.0084.r3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Revised: 06/02/2021] [Accepted: 06/04/2021] [Indexed: 12/24/2022] Open
Abstract
Introduction Prostate-specific membrane antigen (PSMA) positron emission tomography/ computed tomography (PET-CT) is widely used as a staging tool for patients with prostate cancer (PCa). The objective of the study is to assess the diagnostic accuracy of 68Ga-PSMA-PET/CT for PCa, which may help us avoid unnecessary biopsies in patients with intermediate prostate-specific antigen (PSA) levels. Material and methods In this prospective study, 81 patients suspected of PCa, with either raised PSA between 4-20 ng/ml or abnormal digital rectal examination (DRE) findings were included. 68Ga-PSMA-PET/CT was performed for all patients followed by transrectal ultrasound (TRUS) guided prostate biopsy. SUVmax (maximum standardized uptake value) was measured and correlated with biopsy results. Results Out of 81 patients, 31 (38.3%) patients were found to have malignancy on biopsy. Median SUVmax of biopsy positive patients was 10.4 (IQR 6.5-16.1) and biopsy negative patients (n=50) was 3.5 (IQR 1-4.9), (p <0.001). At a cut-off of 6.15, 68GA-PSMA-PET/CT demonstrated sensitivity of 84%, specificity of 80%, positive predictive value of 72.2%, negative predictive value of 88.9% and accuracy of 81.5% with an AUC of 0.876 (95% CI: 0.799-0.953, p <0.001). Conclusions The 68Ga-PSMA-PET/CT helps to localize suspicious lesions and improving the detection of primary prostate cancer. Our findings indicate a significant correlation of SUVmax values with biopsy results. We were also able to determine a cut-off value of SUVmax below which prostate biopsy can be avoided in selected patients.
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Affiliation(s)
- Harsh Jain
- Department of Urology & Renal Transplant, Atal Bihari Vajpayee Institute of Medical Sciences & Dr Ram Manohar Lohia Hospital, New Delhi, India
| | - Rajeev Sood
- Department of Urology & Renal Transplant, Atal Bihari Vajpayee Institute of Medical Sciences & Dr Ram Manohar Lohia Hospital, New Delhi, India
| | - Mohammad Shazib Faridi
- Department of Urology & Renal Transplant, Atal Bihari Vajpayee Institute of Medical Sciences & Dr Ram Manohar Lohia Hospital, New Delhi, India
| | - Hemant Goel
- Department of Urology & Renal Transplant, Atal Bihari Vajpayee Institute of Medical Sciences & Dr Ram Manohar Lohia Hospital, New Delhi, India
| | - Umesh Sharma
- Department of Urology & Renal Transplant, Atal Bihari Vajpayee Institute of Medical Sciences & Dr Ram Manohar Lohia Hospital, New Delhi, India
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28
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Changing the Prostate Cancer Detection Paradigm: Clinical Application of European Association of Urology Guideline-recommended Magnetic Resonance Imaging-based Risk Stratification in Men with Suspected Prostate Cancer. Eur Urol Focus 2021; 7:1011-1018. [PMID: 33036953 DOI: 10.1016/j.euf.2020.09.014] [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: 07/01/2020] [Revised: 09/02/2020] [Accepted: 09/22/2020] [Indexed: 12/31/2022]
Abstract
BACKGROUND Multiparametric magnetic resonance imaging using the Prostate Imaging Reporting and Data System version 2.1 allows for a personalized, risk-stratified approach to indicating prostate biopsies (PBx) in order to reduce PBx and concomitant complications in men with suspected prostate cancer (PCa). One way to achieve this goal is to implement the risk-stratified pathway (RSP) using the Rotterdam Prostate Cancer Risk Calculator. OBJECTIVE To describe the clinical implementation of the RSP and to examine its impact on the number of PBx and the resulting changes in the PCa detection pattern compared with men undergoing PBx in a detection-focused pathway (DFP) without prior risk assessment. DESIGN, SETTING, AND PARTICIPANTS An institutional dataset of 505 consecutive patients with suspected PCa between July 2019 and February 2020 was used. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS Chi-square test and Mann-Whitney U test were employed to examine differences in the number of PBx and the PCa detection pattern between the DFP (n = 195, 38.6%) and the RSP (n = 310, 61.4%). To minimize differences in risk stratification, inverse probability of treatment weighting was used. RESULTS AND LIMITATIONS After implementing the RSP, the overall biopsy rate could be reduced by 11.2% (100% vs 88.8%, p < 0.001. Additionally, compared with the DFP, the number of biopsy cores per patient was reduced in the RSP (14 [interquartile range {IQR} 14-15] vs 14 [IQR 6-14], p < 0.001) and the detection of clinically significant PCa was increased (44.3% vs 57.7%, p = 0.038). Overdiagnosis of clinically insignificant disease was decreased in the RSP (22.8% vs 12.6%, p = 0.039). CONCLUSIONS Implementation of the RSP in clinical practice reduced the number of PBx and brought forth a shift in the PCa detection pattern toward clinically significant disease, while reducing overdiagnosis of clinically insignificant disease. PATIENT SUMMARY In this study, we examined the impact of risk stratification on the number of prostate biopsies (PBx) and the consecutive detection pattern in men with suspected prostate cancer (PCa). We found that the risk-stratified pathway reduced the number of PBx while simultaneously shifting the PCa detection pattern toward clinically significant PCa.
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Van Poppel H, Roobol MJ, Chapple CR, Catto JWF, N'Dow J, Sønksen J, Stenzl A, Wirth M. Prostate-specific Antigen Testing as Part of a Risk-Adapted Early Detection Strategy for Prostate Cancer: European Association of Urology Position and Recommendations for 2021. Eur Urol 2021; 80:703-711. [PMID: 34407909 DOI: 10.1016/j.eururo.2021.07.024] [Citation(s) in RCA: 90] [Impact Index Per Article: 30.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Accepted: 07/28/2021] [Indexed: 12/17/2022]
Abstract
BACKGROUND Recommendations against prostate-specific antigen (PSA) testing in 2012 have increased advanced-stage diagnosis and prostate cancer-specific mortality rates. OBJECTIVE To present the position of the European Association of Urology (EAU) in 2021 and provide recommendations for the use of PSA testing as part of a risk-adapted strategy for the early detection of prostate cancer. EVIDENCE ACQUISITION The authors combined their review of relevant literature, including the EAU prostate cancer guidelines 2021 update, with their own knowledge to provide an expert opinion, representing the EAU's position in 2021. EVIDENCE SYNTHESIS The EAU has developed a risk-adapted early prostate cancer detection strategy for well-informed men based on PSA testing, risk calculators, and multiparametric magnetic resonance imaging, which can differentiate significant from insignificant prostate cancer. This approach largely avoids the overdiagnosis/overtreatment of men unlikely to experience disease-related symptoms during their lifetime and facilitates an early diagnosis of men with significant cancer to receive active treatment. It also reduces advanced-stage diagnosis, thereby potentially reducing prostate cancer-specific mortality and improving quality of life. Education is required among urologists, general practitioners, radiologists, policy makers, and healthy men, including endorsement by the European Commission to adapt the European Council's screening recommendations in its 2022 plan and requests to individual countries for its incorporation into national cancer plans. CONCLUSIONS This risk-adapted approach for the early detection of prostate cancer will reverse current unfavourable trends and ultimately save lives. PATIENT SUMMARY The European Association of Urology has developed a patient information leaflet and algorithm for the early diagnosis of prostate cancer. It can identify men who do not need magnetic resonance imaging or a biopsy and those who would not show any symptoms versus those with more aggressive disease who require further tests/treatment. We need to raise awareness of this algorithm to ensure that all well-informed men at risk of significant prostate cancer are offered a prostate-specific antigen test.
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Affiliation(s)
| | - Monique J Roobol
- Department of Urology, Erasmus University Medical Centre Cancer Institute, Rotterdam, The Netherlands
| | | | - James W F Catto
- Academic Urology Unit, University of Sheffield, Sheffield, UK; Department of Urology, Royal Hallamshire Hospital, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - James N'Dow
- Academic Urology Unit, University of Aberdeen, Aberdeen, UK; Department of Urology, Aberdeen Royal Infirmary, Aberdeen, UK
| | - Jens Sønksen
- Department of Urology, Copenhagen University Hospital, Herlev and Gentofte, Copenhagen, Denmark; Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Arnulf Stenzl
- Department of Urology, Eberhard Karls University Tübingen, Tübingen, Germany
| | - Manfred Wirth
- Department of Urology, University Hospital Carl Gustav Carus, Technical University of Dresden, Dresden, Germany
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Van Poppel H, Hogenhout R, Albers P, van den Bergh RCN, Barentsz JO, Roobol MJ. A European Model for an Organised Risk-stratified Early Detection Programme for Prostate Cancer. Eur Urol Oncol 2021; 4:731-739. [PMID: 34364829 DOI: 10.1016/j.euo.2021.06.006] [Citation(s) in RCA: 45] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Revised: 06/10/2021] [Accepted: 06/23/2021] [Indexed: 11/16/2022]
Abstract
CONTEXT Overdiagnosis as the argument to stop prostate cancer (PCa) screening is less valid since the introduction of new technologies such as risk calculators (RCs) and magnetic resonance imaging (MRI). These new technologies result in fewer unnecessary biopsy procedures and fewer cases of both overdiagnosis and underdetection. Therefore, we can now adequately respond to the growing and urgent need for a structured risk assessment to detect PCa early. OBJECTIVE To provide expert discussion on the existing evidence for a previously published risk-stratified strategy regarding an organised population-based early detection programme for PCa. EVIDENCE ACQUISITION The proposed algorithm for early detection of PCa emerged from expert consensus by the authors based on available evidence derived from a nonsystematic review of the current literature using Medline/PubMed, Cochrane Library database, ClinicalTrials.gov, ISRCTN Registry, and the European Association of Urology guidelines on PCa. EVIDENCE SYNTHESIS Although not confirmed by the highest level of evidence, current literature and guidelines point towards an algorithm for early detection of PCa that starts with risk-based prostate-specific antigen (PSA) testing, followed by multivariable risk stratification with RCs. All men who are classified to be at intermediate and high risk are then offered prostate MRI. The combined data from RCs and MRI results can be used to select men for prostate biopsy. Low-risk men return to a risk-based safety net that includes individualised PSA-interval tests and, if necessary, repeated MRI. Depending on local availability, the use of the different risk stratification tools may be adapted. CONCLUSIONS We present a risk-stratified algorithm for an organised population-based early detection programme for clinically significant PCa. Although the proposed strategy has not yet been analysed prospectively, it exploits and may even improve the most important available benefits of "PSA-only" screening studies, while at the same time reduces unnecessary biopsies and overdiagnosis by using new risk stratification tools. PATIENT SUMMARY This paper presents a personalised strategy that enables selective early detection of prostate cancer by combining prostate-specific antigen (interval) testing' prediction models (risk calculators), and magnetic resonance imaging scans. This will likely lead to reduced prostate cancer-related morbidity and mortality, while reducing the need for prostate biopsy and limiting overdiagnosis.
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Affiliation(s)
- Hendrik Van Poppel
- Department of Development and Regeneration, University Hospital KU Leuven, Leuven, Belgium.
| | - Renée Hogenhout
- Department of Urology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Peter Albers
- Department of Urology, Heinrich-Heine University Medical Faculty, Düsseldorf, Germany; Division of Personalized Early Detection of Prostate Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | | | - Jelle O Barentsz
- Department of Medical Imaging, Radboudumc, Nijmegen, The Netherlands
| | - Monique J Roobol
- Department of Urology, Erasmus University Medical Center, Rotterdam, The Netherlands
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Ferraro S, Bussetti M, Bassani N, Rossi RS, Incarbone GP, Bianchi F, Maggioni M, Runza L, Ceriotti F, Panteghini M. Definition of Outcome-Based Prostate-Specific Antigen (PSA) Thresholds for Advanced Prostate Cancer Risk Prediction. Cancers (Basel) 2021; 13:cancers13143381. [PMID: 34298597 PMCID: PMC8305281 DOI: 10.3390/cancers13143381] [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: 05/03/2021] [Revised: 06/29/2021] [Accepted: 06/30/2021] [Indexed: 02/06/2023] Open
Abstract
Simple Summary In this study, we used a well calibrated risk prediction model to define prostate-specific antigen (PSA) thresholds for identifying or excluding advanced prostate cancer (PCa) as an aid to personalize management of the diagnostic workup. PSA concentrations ≤ 4.1 (<65 years old) and ≤3.7 μg/L (≥65 years old) excluded an advanced PCa in patients without glandular inflammation, while PSA > 5.7 (<65) and >6.1 μg/L (≥65) suggested a biopsy referral. In the presence of glandular inflammation, PSA does not provide a valid estimate for risk of advanced cancer since the marker variability is higher and the pre-test probability of PCa is low in this group. The proposed PSA thresholds may allow an individualized approach to the diagnostic workup, assisting patients in making an informed decision. However, patients with asymptomatic prostatitis cannot benefit from the use of this model since they cannot be pre-biopsy identified. Abstract We defined prostate-specific antigen (PSA) thresholds from a well calibrated risk prediction model for identifying and excluding advanced prostate cancer (PCa). We retrieved 902 biopsied patients with a pre-biopsy PSA determination (Roche assay). A logistic regression model predictive for PCa including the main effects [i.e., PSA, age, histological evidence of glandular inflammation (GI)] was built after testing the accuracy by calibration plots and Hosmer-Lemeshow test for goodness of fit. PSA thresholds were derived by assuming a diagnostic sensitivity of 95% (rule-out) and 80% (rule-in) for overall and advanced/poorly differentiated PCa. In patients without GI, serum PSA concentrations ≤ 4.1 (<65 years old) and ≤3.7 μg/L (≥65 years old) excluded an advanced PCa (defined as Gleason score ≥ 7 at biopsy), with a negative predictive value of 95.1% [95% confidence interval (CI): 83.0–98.7] and 88.8% (CI: 80.2–93.9), respectively, while PSA > 5.7 (<65) and >6.1 μg/L (≥65) should address biopsy referral. In presence of GI, PSA did not provide a valid estimate for risk of advanced cancer because of its higher variability and the low pre-test probability of PCa. The proposed PSA thresholds may support biopsy decision except for patients with asymptomatic prostatitis who cannot be pre-biopsy identified.
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Affiliation(s)
- Simona Ferraro
- Unità Operativa Patologia Clinica, ASST Fatebenefratelli-Sacco, Ospedale ‘Luigi Sacco’, Via GB Grassi 74, 20157 Milano, Italy; (M.B.); (M.P.)
- Correspondence:
| | - Marco Bussetti
- Unità Operativa Patologia Clinica, ASST Fatebenefratelli-Sacco, Ospedale ‘Luigi Sacco’, Via GB Grassi 74, 20157 Milano, Italy; (M.B.); (M.P.)
| | - Niccolò Bassani
- Statistical Consultant, Flat 5 Hazel Court Avenue, Hitchin SG4 9SJ, UK;
| | - Roberta Simona Rossi
- Unità Operativa Anatomia Patologica, ASST Fatebenefratelli-Sacco, Ospedale ‘Luigi Sacco’, Via GB Grassi 74, 20157 Milano, Italy; (R.S.R.); (F.B.)
| | - Giacomo Piero Incarbone
- Urologia, ASST Fatebenefratelli-Sacco, Ospedale ‘Luigi Sacco’, Via GB Grassi 74, 20157 Milano, Italy;
| | - Filippo Bianchi
- Unità Operativa Anatomia Patologica, ASST Fatebenefratelli-Sacco, Ospedale ‘Luigi Sacco’, Via GB Grassi 74, 20157 Milano, Italy; (R.S.R.); (F.B.)
| | - Marco Maggioni
- Unità Operativa Anatomia Patologica, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico Via F. Sforza 35, 20122 Milano, Italy; (M.M.); (L.R.)
| | - Letterio Runza
- Unità Operativa Anatomia Patologica, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico Via F. Sforza 35, 20122 Milano, Italy; (M.M.); (L.R.)
| | - Ferruccio Ceriotti
- Laboratorio Analisi, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico Via F. Sforza 35, 20122 Milano, Italy;
| | - Mauro Panteghini
- Unità Operativa Patologia Clinica, ASST Fatebenefratelli-Sacco, Ospedale ‘Luigi Sacco’, Via GB Grassi 74, 20157 Milano, Italy; (M.B.); (M.P.)
- Dipartimento di Scienze Biomediche e Cliniche ‘Luigi Sacco’, Università Degli Studi di Milano, 20157 Milano, Italy
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Petersmann AL, Remmers S, Klein T, Manava P, Huettenbrink C, Pahernik SA, Distler FA. External validation of two MRI-based risk calculators in prostate cancer diagnosis. World J Urol 2021; 39:4109-4116. [PMID: 34169337 DOI: 10.1007/s00345-021-03770-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Accepted: 06/18/2021] [Indexed: 11/28/2022] Open
Abstract
BACKGROUND The diagnosis of (significant) prostate cancer ((s)PC) is impeded by overdiagnosis and unnecessary biopsy. Risk calculators (RC) have been developed to mitigate these issues. Contemporary RCs integrate clinical characteristics with mpMRI findings. OBJECTIVE To validate two of these models-the MRI-ERSPC-RC-3/4 and the risk model of van Leeuwen. METHODS 265 men with clinical suspicion of PC were enrolled. Every patient received a prebiopsy mpMRI, which was reported according to PI-RADS v2.1, followed by MRI/TRUS fusion-biopsy. Cancers with ISUP grade ≥ 2 were classified as sPC. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS Statistical analysis was performed by comparing discrimination, calibration, and clinical utility RESULTS: There was no significant difference in discrimination between the RCs. The MRI-ERSPC-RC-3/4-RC showed a nearly ideal calibration-slope (0.94; 95% CI 0.68-1.20) than the van Leeuwen model (0.70; 95% CI 0.52-0.88). Within a threshold range up to 9% for a sPC, the MRI-ERSPC-RC-3/4-RC shows a greater net benefit than the van Leeuwen model. From 10 to 15%, the van Leeuwen model showed a higher net benefit compared to the MRI-ERSP-3/4-RC. For a risk threshold of 15%, the van Leeuwen model would avoid 24% vs. 14% compared to the MRI-ERSPC-RC-3/4 model; 6% vs. 5% sPC would be overlooked, respectively. CONCLUSION Both risk models supply accurate results and reduce the number of biopsies and basically no sPC were overlooked. The van Leeuwen model suggests a better balance between unnecessary biopsies and overlooked sPC at thresholds range of 10-15%. The MRI-ERSPC-RC-3/4 risk model provides better overall calibration.
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Affiliation(s)
- Anna-Lena Petersmann
- Department of Urology, Paracelsus Medical University Nuremberg, Prof. Ernst Nathan Str. 1, 90419, Nuremberg, Germany
| | - Sebastiaan Remmers
- Department of Urology, Erasmus University Medical Centre, Rotterdam, The Netherlands
| | - Tilman Klein
- Department of Urology, Paracelsus Medical University Nuremberg, Prof. Ernst Nathan Str. 1, 90419, Nuremberg, Germany
| | - Panagiota Manava
- Institute of Radiology and Nuclear Medicine, Paracelsus Medical University Nuremberg, Nuremberg, Germany
| | - Clemens Huettenbrink
- Department of Urology, Paracelsus Medical University Nuremberg, Prof. Ernst Nathan Str. 1, 90419, Nuremberg, Germany
| | - Sascha A Pahernik
- Department of Urology, Paracelsus Medical University Nuremberg, Prof. Ernst Nathan Str. 1, 90419, Nuremberg, Germany
| | - Florian A Distler
- Department of Urology, Paracelsus Medical University Nuremberg, Prof. Ernst Nathan Str. 1, 90419, Nuremberg, Germany.
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Rotterdam mobile phone app including MRI data for the prediction of prostate cancer: A multicenter external validation. EUROPEAN JOURNAL OF SURGICAL ONCOLOGY 2021; 47:2640-2645. [PMID: 33965292 DOI: 10.1016/j.ejso.2021.04.033] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Revised: 04/19/2021] [Accepted: 04/26/2021] [Indexed: 11/20/2022]
Abstract
OBJECTIVES The Rotterdam Prostate Cancer Risk calculator (RPCRC) has been validated in the past years. Recently a new version including multiparametric magnetic resonance imaging (mpMRI) data has been released. The aim of our study was to analyze the performance of the mpMRI RPCRC app. METHODS A series of men undergoing prostate biopsies were enrolled in eleven Italian centers. Indications for prostate biopsy included: abnormal Prostate specific antigen levels (PSA>4 ng/ml), abnormal DRE and abnormal mpMRI. Patients' characteristics were recorded. Prostate cancer (PCa) risk and high-grade PCa risk were assessed using the RPCRC app. The performance of the mpMRI RPCRC in the prediction of cancer and high-grade PCa was evaluated using receiver operator characteristics, calibration plots and decision curve analysis. RESULTS Overall, 580 patients were enrolled: 404/580 (70%) presented PCa and out of them 224/404 (55%) presented high-grade PCa. In the prediction of cancer, the RC presented good discrimination (AUC = 0.74), poor calibration (p = 0.01) and a clinical net benefit in the range of probabilities between 50 and 90% for the prediction of PCa (Fig. 1). In the prediction of high-grade PCa, the RC presented good discrimination (AUC = 0.79), good calibration (p = 0.48) and a clinical net benefit in the range of probabilities between 20 and 80% (Fig. 1). CONCLUSIONS The Rotterdam prostate cancer risk App accurately predicts the risk of PCa and particularly high-grade cancer. The clinical net benefit is wide for high-grade cancer and therefore its implementation in clinical practice should be encouraged. Further studies should assess its definitive role in clinical practice.
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Predicting the risk of prostate cancer in asymptomatic men: a cohort study to develop and validate a novel algorithm. Br J Gen Pract 2021; 71:e364-e371. [PMID: 33875417 PMCID: PMC8087311 DOI: 10.3399/bjgp20x714137] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2020] [Accepted: 09/08/2020] [Indexed: 12/02/2022] Open
Abstract
Background Diagnosis of prostate cancer at an early stage can potentially identify tumours when intervention may improve treatment options and survival. Aim To develop and validate an equation to predict absolute risk of prostate cancer in asymptomatic men with prostate specific antigen (PSA) tests in primary care. Design and setting Cohort study using data from English general practices, held in the QResearch database. Method Routine data were collected from 1098 QResearch English general practices linked to mortality, hospital, and cancer records for model development. Two separate sets of practices were used for validation. In total, there were 844 455 men aged 25–84 years with PSA tests recorded who were free of prostate cancer at baseline in the derivation cohort; the validation cohorts comprised 292 084 and 316 583 men. The primary outcome was incident prostate cancer. Cox proportional hazards models were used to derive 10-year risk equations. Measures of performance were determined in both validation cohorts. Results There were 40 821 incident cases of prostate cancer in the derivation cohort. The risk equation included PSA level, age, deprivation, ethnicity, smoking status, serious mental illness, diabetes, BMI, and family history of prostate cancer. The risk equation explained 70.4% (95% CI = 69.2 to 71.6) of the variation in time to diagnosis of prostate cancer (R2) (D statistic 3.15, 95% CI = 3.06 to 3.25; Harrell’s C-index 0.917, 95% CI = 0.915 to 0.919). Two-step approach had higher sensitivity than a fixed PSA threshold at identifying prostate cancer cases (identifying 68.2% versus 43.9% of cases), high-grade cancers (49.2% versus 40.3%), and deaths (67.0% versus 31.5%). Conclusion The risk equation provided valid measures of absolute risk and had higher sensitivity for incident prostate cancer, high-grade cancers, and prostate cancer mortality than a simple approach based on age and PSA threshold.
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Duffy MJ. Biomarkers for prostate cancer: prostate-specific antigen and beyond. Clin Chem Lab Med 2021; 58:326-339. [PMID: 31714881 DOI: 10.1515/cclm-2019-0693] [Citation(s) in RCA: 111] [Impact Index Per Article: 37.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2019] [Accepted: 09/19/2019] [Indexed: 12/21/2022]
Abstract
In recent years, several new biomarkers supplementing the role of prostate-specific antigen (PSA) have become available for men with prostate cancer. Although widely used in an ad hoc manner, the role of PSA in screening asymptomatic men for prostate cancer is controversial. Several expert panels, however, have recently recommended limited PSA screening following informed consent in average-risk men, aged 55-69 years. As a screening test for prostate cancer however, PSA has limited specificity and leads to overdiagnosis which in turn results in overtreatment. To increase specificity and reduce the number of unnecessary biopsies, biomarkers such as percent free PSA, prostate health index (PHI) or the 4K score may be used, while Progensa PCA3 may be measured to reduce the number of repeat biopsies in men with a previously negative biopsy. In addition to its role in screening, PSA is also widely used in the management of patients with diagnosed prostate cancer such as in surveillance following diagnosis, monitoring response to therapy and in combination with both clinical and histological criteria in risk stratification for recurrence. For determining aggressiveness and predicting outcome, especially in low- or intermediate-risk men, tissue-based multigene tests such as Decipher, Oncotype DX (Prostate), Prolaris and ProMark, may be used. Emerging therapy predictive biomarkers include AR-V7 for predicting lack of response to specific anti-androgens (enzalutamide, abiraterone), BRAC1/2 mutations for predicting benefit from PARP inhibitor and PORTOS for predicting benefit from radiotherapy. With the increased availability of multiple biomarkers, personalised treatment for men with prostate cancer is finally on the horizon.
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Affiliation(s)
- Michael J Duffy
- UCD Clinical Research Centre, St. Vincent's University Hospital, Dublin 4, Ireland.,UCD School of Medicine, Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Dublin, Ireland
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Lima AR, Pinto J, Amaro F, Bastos MDL, Carvalho M, Guedes de Pinho P. Advances and Perspectives in Prostate Cancer Biomarker Discovery in the Last 5 Years through Tissue and Urine Metabolomics. Metabolites 2021; 11:181. [PMID: 33808897 PMCID: PMC8003702 DOI: 10.3390/metabo11030181] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Revised: 03/10/2021] [Accepted: 03/17/2021] [Indexed: 02/07/2023] Open
Abstract
Prostate cancer (PCa) is the second most diagnosed cancer in men worldwide. For its screening, serum prostate specific antigen (PSA) test has been largely performed over the past decade, despite its lack of accuracy and inability to distinguish indolent from aggressive disease. Metabolomics has been widely applied in cancer biomarker discovery due to the well-known metabolic reprogramming characteristic of cancer cells. Most of the metabolomic studies have reported alterations in urine of PCa patients due its noninvasive collection, but the analysis of prostate tissue metabolome is an ideal approach to disclose specific modifications in PCa development. This review aims to summarize and discuss the most recent findings from tissue and urine metabolomic studies applied to PCa biomarker discovery. Eighteen metabolites were found consistently altered in PCa tissue among different studies, including alanine, arginine, uracil, glutamate, fumarate, and citrate. Urine metabolomic studies also showed consistency in the dysregulation of 15 metabolites and, interestingly, alterations in the levels of valine, taurine, leucine and citrate were found in common between urine and tissue studies. These findings unveil that the impact of PCa development in human metabolome may offer a promising strategy to find novel biomarkers for PCa diagnosis.
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Affiliation(s)
- Ana Rita Lima
- UCIBIO/REQUIMTE, Laboratory of Toxicology, Department of Biological Sciences, Faculty of Pharmacy, University of Porto, Rua Jorge Viterbo Ferreira, 228, 4050-313 Porto, Portugal; (J.P.); (F.A.); (M.d.L.B.)
| | - Joana Pinto
- UCIBIO/REQUIMTE, Laboratory of Toxicology, Department of Biological Sciences, Faculty of Pharmacy, University of Porto, Rua Jorge Viterbo Ferreira, 228, 4050-313 Porto, Portugal; (J.P.); (F.A.); (M.d.L.B.)
| | - Filipa Amaro
- UCIBIO/REQUIMTE, Laboratory of Toxicology, Department of Biological Sciences, Faculty of Pharmacy, University of Porto, Rua Jorge Viterbo Ferreira, 228, 4050-313 Porto, Portugal; (J.P.); (F.A.); (M.d.L.B.)
| | - Maria de Lourdes Bastos
- UCIBIO/REQUIMTE, Laboratory of Toxicology, Department of Biological Sciences, Faculty of Pharmacy, University of Porto, Rua Jorge Viterbo Ferreira, 228, 4050-313 Porto, Portugal; (J.P.); (F.A.); (M.d.L.B.)
| | - Márcia Carvalho
- UCIBIO/REQUIMTE, Laboratory of Toxicology, Department of Biological Sciences, Faculty of Pharmacy, University of Porto, Rua Jorge Viterbo Ferreira, 228, 4050-313 Porto, Portugal; (J.P.); (F.A.); (M.d.L.B.)
- UFP Energy, Environment and Health Research Unit (FP-ENAS), University Fernando Pessoa, Praça Nove de Abril, 349, 4249-004 Porto, Portugal
- Faculty of Health Sciences, University Fernando Pessoa, Rua Carlos da Maia, 296, 4200-150 Porto, Portugal
| | - Paula Guedes de Pinho
- UCIBIO/REQUIMTE, Laboratory of Toxicology, Department of Biological Sciences, Faculty of Pharmacy, University of Porto, Rua Jorge Viterbo Ferreira, 228, 4050-313 Porto, Portugal; (J.P.); (F.A.); (M.d.L.B.)
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Zhang H, Song J, Dong J, Liu Z, Lin L, Wang B, Ma Q, Ma L. Tumor Microenvironment Analysis Identified Subtypes Associated With the Prognosis and the Tumor Response to Immunotherapy in Bladder Cancer. Front Genet 2021; 12:551605. [PMID: 33732281 PMCID: PMC7957069 DOI: 10.3389/fgene.2021.551605] [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: 04/20/2020] [Accepted: 01/20/2021] [Indexed: 01/10/2023] Open
Abstract
Background: The efficiency of immune checkpoint inhibitors (ICIs) in bladder cancer (BLCA) treatment has been widely validated; however, the tumor response to ICIs was generally low. It is critical and urgent to find biomarkers that can predict tumor response to ICIs. The tumor microenvironment (TME), which may play important roles to either dampen or enhance immune responses, has been widely concerned. Methods: The cancer genome atlas BLCA (TCGA-BLCA) cohort (n = 400) was used in this study. Based on the proportions of 22 types of immune cells calculated by CIBERSORT, TME was classified by K-means Clustering and differentially expressed genes (DEGs) were determined. Based on DEGs, patients were classified into three groups, and cluster signature genes were identified after reducing redundant genes. Then TMEscore was calculated based on cluster signature genes, and the samples were classified to two subtypes. We performed somatic mutation and copy number variation analysis to identify the genetic characteristics of the two subtypes. Correlation analysis was performed to explore the correlation between TMEscore and the tumor response to ICIs as well as the prognosis of BLCA. Results: According to the proportions of immune cells, two TME clusters were determined, and 1,144 DEGs and 138 cluster signature genes were identified. Based on cluster signature genes, samples were classified into TMEscore-high (n = 199) and TMEscore-low (n = 201) subtypes. Survival analysis showed patients with TMEscore-high phenotype had better prognosis. Among the 45 differentially expressed micro-RNAs (miRNAs) and 1,033 differentially expressed messenger RNAs (mRNAs) between the two subtypes, 16 miRNAs and 287 mRNAs had statistically significant impact on the prognosis of BLCA. Furthermore, there were 94 genes with significant differences between the two subtypes, and they were enriched in RTK-RAS, NOTCH, WNT, Hippo, and PI3K pathways. The Tumor Immune Dysfunction and Exclusion (TIDE) score of TMEscore-high BLCA was statistically lower than that of TMEscore-low BLCA. Receiver operating characteristic (ROC) curve analysis showed that the area under the curve (AUC) of TMEscore and tumor mutation burden (TMB) is 0.6918 and 0.5374, respectively. Conclusion: We developed a method to classify BLCA patients to two TME subtypes, TMEscore-high and TMEscore-low, and we found TMEscore-high subtype of BLCA had a good prognosis and a good response to ICIs.
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Affiliation(s)
- Hongxian Zhang
- Department of Urology, Peking University Third Hospital, Beijing, China
| | - Jiwen Song
- Department of Urology, Shanxi Provincial Cancer Hospital, Taiyuan, China
| | - Junqiang Dong
- Department of Urology, Heze Municipal Hospital, Heze, China
| | - Zhuo Liu
- Department of Urology, Peking University Third Hospital, Beijing, China
| | - Lixuan Lin
- Department of Biotechnology, College of Life Sciences, Sichuan University, Chengdu, China
| | - Bing Wang
- Department of Oncology, Wuhan No.1 Hospital, Wuhan, China
| | - Qiang Ma
- Department of Oncology, People's Hospital of Xintai City, Xintai, China
| | - Lulin Ma
- Department of Urology, Peking University Third Hospital, Beijing, China
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Borre M. Prostate Cancer Screening-The Need for and Clinical Relevance of Decision Analytical Models. JAMA Netw Open 2021; 4:e212182. [PMID: 33704471 DOI: 10.1001/jamanetworkopen.2021.2182] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Affiliation(s)
- Michael Borre
- Department of Urology, Aarhus University Hospital, Aarhus, Denmark
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Merriel SWD, Ingle SM, May MT, Martin RM. Retrospective cohort study evaluating clinical, biochemical and pharmacological prognostic factors for prostate cancer progression using primary care data. BMJ Open 2021; 11:e044420. [PMID: 33579772 PMCID: PMC7883851 DOI: 10.1136/bmjopen-2020-044420] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2020] [Revised: 02/01/2021] [Accepted: 02/02/2021] [Indexed: 12/30/2022] Open
Abstract
OBJECTIVES To confirm the association of previously reported prognostic factors with future progression of localised prostate cancer using primary care data and identify new potential prognostic factors for further assessment in prognostic model development and validation. DESIGN Retrospective cohort study, employing Cox proportional hazards regression controlling for age, prostate specific antigen (PSA), and Gleason score, was stratified by diagnostic stage. SETTING Primary care in England. PARTICIPANTS Males with localised prostate cancer diagnosedbetween 01/01/1987 and 31/12/2016 within the Clinical Practice ResearchDatalink database, with linked data from the National Cancer Registration andAnalysis Service and Office for National Statistics. PRIMARY AND SECONDARY OUTCOMES Primary outcome measure was prostate cancer mortality. Secondary outcome measures were all-cause mortality and commencing systemic therapy. Up-staging after diagnosis was not used as a secondary outcome owing to significant missing data. RESULTS 10 901 men (mean age 74.38±9.03 years) with localised prostate cancer were followed up for a mean of 14.12 (±6.36) years. 2331 (21.38%) men underwent systemic therapy and 3450 (31.65%) died, including 1250 (11.47%) from prostate cancer. Factors associated with an increased risk of prostate cancer mortality included age; high PSA; current or ex-smoker; ischaemic heart disease; high C reactive protein; high ferritin; low haemoglobin; high blood glucose and low albumin. CONCLUSIONS This study identified several new potential prognostic factors for prostate cancer progression, as well as confirming some known prognostic factors, in an independent primary care data set. Further research is needed to develop and validate a prognostic model for prostate cancer progression.
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Affiliation(s)
| | - Suzanne Marie Ingle
- Bristol Medical School, Population Health Sciences, University of Bristol, Bristol, UK
| | - Margaret T May
- Bristol Medical School, Population Health Sciences, University of Bristol, Bristol, UK
- National Institute for Health Research (NIHR) Biomedical Research Centre, University Hospitals Bristol NHS Foundation Trust and the University of Bristol, Bristol, UK
| | - Richard M Martin
- Bristol Medical School, Population Health Sciences, University of Bristol, Bristol, UK
- National Institute for Health Research (NIHR) Biomedical Research Centre, University Hospitals Bristol NHS Foundation Trust and the University of Bristol, Bristol, UK
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Rebello RJ, Oing C, Knudsen KE, Loeb S, Johnson DC, Reiter RE, Gillessen S, Van der Kwast T, Bristow RG. Prostate cancer. Nat Rev Dis Primers 2021. [PMID: 33542230 DOI: 10.1038/s41572-020-0024.3-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/27/2023]
Abstract
Prostate cancer is a complex disease that affects millions of men globally, predominantly in high human development index regions. Patients with localized disease at a low to intermediate risk of recurrence generally have a favourable outcome of 99% overall survival for 10 years if the disease is detected and treated at an early stage. Key genetic alterations include fusions of TMPRSS2 with ETS family genes, amplification of the MYC oncogene, deletion and/or mutation of PTEN and TP53 and, in advanced disease, amplification and/or mutation of the androgen receptor (AR). Prostate cancer is usually diagnosed by prostate biopsy prompted by a blood test to measure prostate-specific antigen levels and/or digital rectal examination. Treatment for localized disease includes active surveillance, radical prostatectomy or ablative radiotherapy as curative approaches. Men whose disease relapses after prostatectomy are treated with salvage radiotherapy and/or androgen deprivation therapy (ADT) for local relapse, or with ADT combined with chemotherapy or novel androgen signalling-targeted agents for systemic relapse. Advanced prostate cancer often progresses despite androgen ablation and is then considered castration-resistant and incurable. Current treatment options include AR-targeted agents, chemotherapy, radionuclides and the poly(ADP-ribose) inhibitor olaparib. Current research aims to improve prostate cancer detection, management and outcomes, including understanding the fundamental biology at all stages of the disease.
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Affiliation(s)
- Richard J Rebello
- Cancer Research UK Manchester Institute, University of Manchester, Manchester Cancer Research Centre, Manchester, UK
| | - Christoph Oing
- Cancer Research UK Manchester Institute, University of Manchester, Manchester Cancer Research Centre, Manchester, UK
- Department of Oncology, Haematology and Bone Marrow Transplantation with Division of Pneumology, University Medical Centre Eppendorf, Hamburg, Germany
| | - Karen E Knudsen
- Sidney Kimmel Cancer Center at Jefferson Health and Thomas Jefferson University, Philadelphia, PA, USA
| | - Stacy Loeb
- Department of Urology and Population Health, New York University and Manhattan Veterans Affairs, Manhattan, NY, USA
| | - David C Johnson
- Department of Urology, University of North Carolina, Chapel Hill, NC, USA
| | - Robert E Reiter
- Department of Urology, Jonssen Comprehensive Cancer Center UCLA, Los Angeles, CA, USA
| | | | - Theodorus Van der Kwast
- Laboratory Medicine Program, Princess Margaret Cancer Center, University Health Network, Toronto, Canada
| | - Robert G Bristow
- Cancer Research UK Manchester Institute, University of Manchester, Manchester Cancer Research Centre, Manchester, UK.
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Abstract
Prostate cancer is a complex disease that affects millions of men globally, predominantly in high human development index regions. Patients with localized disease at a low to intermediate risk of recurrence generally have a favourable outcome of 99% overall survival for 10 years if the disease is detected and treated at an early stage. Key genetic alterations include fusions of TMPRSS2 with ETS family genes, amplification of the MYC oncogene, deletion and/or mutation of PTEN and TP53 and, in advanced disease, amplification and/or mutation of the androgen receptor (AR). Prostate cancer is usually diagnosed by prostate biopsy prompted by a blood test to measure prostate-specific antigen levels and/or digital rectal examination. Treatment for localized disease includes active surveillance, radical prostatectomy or ablative radiotherapy as curative approaches. Men whose disease relapses after prostatectomy are treated with salvage radiotherapy and/or androgen deprivation therapy (ADT) for local relapse, or with ADT combined with chemotherapy or novel androgen signalling-targeted agents for systemic relapse. Advanced prostate cancer often progresses despite androgen ablation and is then considered castration-resistant and incurable. Current treatment options include AR-targeted agents, chemotherapy, radionuclides and the poly(ADP-ribose) inhibitor olaparib. Current research aims to improve prostate cancer detection, management and outcomes, including understanding the fundamental biology at all stages of the disease.
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Falagario UG, Silecchia G, Bruno SM, Di Nauta M, Auciello M, Sanguedolce F, Milillo P, Macarini L, Selvaggio O, Carrieri G, Cormio L. Does Multiparametric Magnetic Resonance of Prostate Outperform Risk Calculators in Predicting Prostate Cancer in Biopsy Naïve Patients? Front Oncol 2021; 10:603384. [PMID: 33489907 PMCID: PMC7821426 DOI: 10.3389/fonc.2020.603384] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2020] [Accepted: 11/24/2020] [Indexed: 11/21/2022] Open
Abstract
Background European Association of Urology (EAU) guidelines recommend using risk-calculators (RCs), imaging or additional biomarkers in asymptomatic men at risk of prostate cancer (PCa). Objectives To compare the performance of mpMRI, a RC we recently developed and two commonly used RC not including mpMRI in predicting the risk of PCa, as well as the added value of mpMRI to each RC. Design, Setting, and Participants Single-center retrospective study evaluating 221 biopsy-naïve patients who underwent prebiopsy mpMRI. Outcome Measurements and Statistical Analysis Patients’ probabilities of any PCa and clinically significant PCa (csPC, defined as Gleason-Score ≥3 + 4) were computed according to mpMRI, European Randomized Study of Screening for Prostate Cancer RC (ERSPC-RC), the Prostate Biopsy Collaborative Group RC (PBCG-RC) and the Foggia Prostate Cancer RC (FPC-RC). Logistic regression, AUC, and Decision curve analysis (DCA) were used to assess the accuracy of tested models. Results and Limitation The FPC-RC outperformed mpMRI in diagnosing both any PCa (AUC 0.76 vs 0.69) and csPCa (AUC 0.80 vs 0.75). Conversely mpMRI showed a higher accuracy in predicting any PCa compared to the PBCG-RC and the ERSPC-RC but similar performances in predicting csPCa. At multivariable analysis predicting csPCa and any PCa, the addition of mpMRI findings improved the accuracy of each calculator. DCA showed that the FPC-RC provided a greater net benefit than mpMRI and the other RCs. The addition of mpMRI findings improved the net benefit provided by each calculator. Conclusions mpMRI was outperformed by the novel FPC-RC and showed similar performances compared to the PBCG and ERSPC RCs in predicting csPCa. The addition of mpMRI findings improved the diagnostic accuracy of each of these calculators
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Affiliation(s)
| | | | | | - Michele Di Nauta
- Department of Urology and Organ Transplantation, University of Foggia, Foggia, Italy
| | - Mario Auciello
- Department of Urology and Organ Transplantation, University of Foggia, Foggia, Italy.,Department of Urology, Bonomo Teaching Hospital, Andria, Italy
| | | | - Paola Milillo
- Department of Radiology, University of Foggia, Foggia, Italy
| | - Luca Macarini
- Department of Radiology, University of Foggia, Foggia, Italy
| | - Oscar Selvaggio
- Department of Urology and Organ Transplantation, University of Foggia, Foggia, Italy
| | - Giuseppe Carrieri
- Department of Urology and Organ Transplantation, University of Foggia, Foggia, Italy
| | - Luigi Cormio
- Department of Urology and Organ Transplantation, University of Foggia, Foggia, Italy.,Department of Urology, Bonomo Teaching Hospital, Andria, Italy
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Kim JH, Hong SK. Clinical utility of current biomarkers for prostate cancer detection. Investig Clin Urol 2021; 62:1-13. [PMID: 33381926 PMCID: PMC7801171 DOI: 10.4111/icu.20200395] [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: 09/01/2020] [Revised: 10/09/2020] [Accepted: 10/22/2020] [Indexed: 12/14/2022] Open
Abstract
Although prostate-specific antigen (PSA) remains the most used test to detect prostate cancer (PCa), the limited specificity and an elevated rate of overdiagnosis are the main problems associated with PSA testing. Over the last three decades, a large body of evidence has indicated that PSA screening methods for PCa are problematic, although PSA screening significantly reduces PCa-specific mortality. A number of novel biomarkers have been introduced to overcome these limitations of PSA in the clinical setting. These biomarkers have demonstrated an increased ability to select patients for biopsy and identify men at risk for clinically significant PCa. Although a number of assays require further validation, initial data are promising. Forthcoming results will ultimately determine the clinical utility and commercial availability of these assays. Extensive efforts have recently been made to identify and commercialize novel PCa biomarkers for more effective detection of PCa, either alone or in combination with currently available clinical tools. This review highlights the role of existing and promising serum and urinary biomarkers for the detection and prognostication of PCa before prostate biopsy.
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Affiliation(s)
- Jeong Hyun Kim
- Department of Urology, Kangwon National University School of Medicine, Chuncheon, Korea
| | - Sung Kyu Hong
- Department of Urology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea.
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45
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Chen IHA, Chu CH, Lin JT, Tsai JY, Yu CC, Sridhar AN, Sooriakumaran P, Loureiro RCV, Chand M. Prostate Cancer Risk Calculator Apps in a Taiwanese Population Cohort: Validation Study. J Med Internet Res 2020; 22:e16322. [PMID: 33337340 PMCID: PMC7775818 DOI: 10.2196/16322] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2019] [Revised: 07/03/2020] [Accepted: 11/11/2020] [Indexed: 11/13/2022] Open
Abstract
Background Mobile health apps have emerged as useful tools for patients and clinicians alike, sharing health information or assisting in clinical decision-making. Prostate cancer (PCa) risk calculator mobile apps have been introduced to assess risks of PCa and high-grade PCa (Gleason score ≥7). The Rotterdam Prostate Cancer Risk Calculator and Coral–Prostate Cancer Nomogram Calculator apps were developed from the 2 most-studied PCa risk calculators, the European Randomized Study of Screening for Prostate Cancer (ERSPC) and the North American Prostate Cancer Prevention Trial (PCPT) risk calculators, respectively. A systematic review has indicated that the Rotterdam and Coral apps perform best during the prebiopsy stage. However, the epidemiology of PCa varies among different populations, and therefore, the applicability of these apps in a Taiwanese population needs to be evaluated. This study is the first to validate the PCa risk calculator apps with both biopsy and prostatectomy cohorts in Taiwan. Objective The study’s objective is to validate the PCa risk calculator apps using a Taiwanese cohort of patients. Additionally, we aim to utilize postprostatectomy pathology outcomes to assess the accuracy of both apps with regard to high-grade PCa. Methods All male patients who had undergone transrectal ultrasound prostate biopsies in a single Taiwanese tertiary medical center from 2012 to 2018 were identified retrospectively. The probabilities of PCa and high-grade PCa were calculated utilizing the Rotterdam and Coral apps, and compared with biopsy and prostatectomy results. Calibration was graphically evaluated with the Hosmer-Lemeshow goodness-of-fit test. Discrimination was analyzed utilizing the area under the receiver operating characteristic curve (AUC). Decision curve analysis was performed for clinical utility. Results Of 1134 patients, 246 (21.7%) were diagnosed with PCa; of these 246 patients, 155 (63%) had high-grade PCa, according to the biopsy results. After confirmation with prostatectomy pathological outcomes, 47.2% (25/53) of patients were upgraded to high-grade PCa, and 1.2% (1/84) of patients were downgraded to low-grade PCa. Only the Rotterdam app demonstrated good calibration for detecting high-grade PCa in the biopsy cohort. The discriminative ability for both PCa (AUC: 0.779 vs 0.687; DeLong’s method: P<.001) and high-grade PCa (AUC: 0.862 vs 0.758; P<.001) was significantly better for the Rotterdam app. In the prostatectomy cohort, there was no significant difference between both apps (AUC: 0.857 vs 0.777; P=.128). Conclusions The Rotterdam and Coral apps can be applied to the Taiwanese cohort with accuracy. The Rotterdam app outperformed the Coral app in the prediction of PCa and high-grade PCa. Despite the small size of the prostatectomy cohort, both apps, to some extent, demonstrated the predictive capacity for true high-grade PCa, confirmed by the whole prostate specimen. Following our external validation, the Rotterdam app might be a good alternative to help detect PCa and high-grade PCa for Taiwanese men.
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Affiliation(s)
- I-Hsuan Alan Chen
- Division of Urology, Department of Surgery, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan.,School of Medicine, National Yang-Ming University, Taipei, Taiwan.,Division of Urology, Department of Surgery, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.,Division of Surgery and Interventional Sciences, University College London, London, United Kingdom
| | - Chi-Hsiang Chu
- Department of Statistics, National Cheng Kung University, Tainan, Taiwan
| | - Jen-Tai Lin
- Division of Urology, Department of Surgery, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan.,School of Medicine, National Yang-Ming University, Taipei, Taiwan
| | - Jeng-Yu Tsai
- Division of Urology, Department of Surgery, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan.,School of Medicine, National Yang-Ming University, Taipei, Taiwan
| | - Chia-Cheng Yu
- Division of Urology, Department of Surgery, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan.,School of Medicine, National Yang-Ming University, Taipei, Taiwan.,Division of Urology, Department of Surgery, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
| | - Ashwin Narasimha Sridhar
- Division of Surgery and Interventional Sciences, University College London, London, United Kingdom.,Department of Uro-Oncology, University College London Hospital, London, United Kingdom
| | - Prasanna Sooriakumaran
- Division of Surgery and Interventional Sciences, University College London, London, United Kingdom.,Department of Uro-Oncology, University College London Hospital, London, United Kingdom.,Nuffield Department of Surgical Sciences, University of Oxford, Oxford, United Kingdom
| | - Rui C V Loureiro
- Division of Surgery and Interventional Sciences, University College London, London, United Kingdom.,Aspire Centre for Rehabilitation Engineering and Assistive Technology, University College London and the Royal National Orthopaedic Hospital, Stanmore, United Kingdom
| | - Manish Chand
- Division of Surgery and Interventional Sciences, University College London, London, United Kingdom.,Department of Colorectal Surgery, University College London Hospital, London, United Kingdom
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Nonsuspicious prebiopsy multiparametric MRI: is prostate biopsy still necessary? Abdom Radiol (NY) 2020; 45:4160-4165. [PMID: 32902661 DOI: 10.1007/s00261-020-02728-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2020] [Revised: 08/17/2020] [Accepted: 08/30/2020] [Indexed: 02/04/2023]
Abstract
PURPOSE To evaluate the negative predictive value (NPV) of multiparametric magnetic resonance imaging (mpMRI), alone or combined with Prostate-Specific Antigen density (PSAd) to exclude clinically significant prostate cancer (csPCa). PATIENTS AND METHODS We performed a retrospective chart review of all the patients who had transrectal ultrasound-guided biopsy (TRUSGB) in our center between January 2014 and March 2019. We included patients who had nonsuspicious prebiopsy mpMRI defined as Prostate Imaging-Reporting and Data System (PI-RADS) ≤ 2. MRI was performed using a 1.5 or 3-Tesla Magnetic Resonance scanners with external phased-array coil. The primary outcome was the detection of csPCa, defined as a Gleason score 3 + 4 (ISUP 2) or higher on at least one biopsy core. RESULTS One hundred and ninety-one consecutive men (median age: 65 years, median PSA level: 9.3 ng/mL) underwent TRUSGB following negative prebiopsy mpMRI corresponding to 126 (66%) biopsy-naïve patients, 36 (18.8%) patients with prior negative biopsy, and 29 (15.2%) patients under active surveillance with confirmatory biopsies. The overall PCa and csPCA detection rates were 26.7% and 5.2%, conferring a NPV of 73.3% and 94.8%, respectively. The NPV of negative mpMRI improved to 95.8% in patients with PSAd < 0.15 ng/mL/cm3 and to 100% in patients with PSAd < 0.10 ng/mL/cm3. CONCLUSIONS A negative prebiopsy mpMRI had an overall NPV of 94.8% for csPCa when mpMRI was used alone to 95.8% when combined with PSAd < 0.15 ng/mL/cm3. Future studies are needed to balance the low benefit of a biopsy in this indication with the morbidity of the procedure.
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Mottet N, van den Bergh RCN, Briers E, Van den Broeck T, Cumberbatch MG, De Santis M, Fanti S, Fossati N, Gandaglia G, Gillessen S, Grivas N, Grummet J, Henry AM, van der Kwast TH, Lam TB, Lardas M, Liew M, Mason MD, Moris L, Oprea-Lager DE, van der Poel HG, Rouvière O, Schoots IG, Tilki D, Wiegel T, Willemse PPM, Cornford P. EAU-EANM-ESTRO-ESUR-SIOG Guidelines on Prostate Cancer-2020 Update. Part 1: Screening, Diagnosis, and Local Treatment with Curative Intent. Eur Urol 2020; 79:243-262. [PMID: 33172724 DOI: 10.1016/j.eururo.2020.09.042] [Citation(s) in RCA: 1428] [Impact Index Per Article: 357.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2020] [Accepted: 09/21/2020] [Indexed: 02/07/2023]
Abstract
OBJECTIVE To present a summary of the 2020 version of the European Association of Urology (EAU)-European Association of Nuclear Medicine (EANM)-European Society for Radiotherapy and Oncology (ESTRO)-European Society of Urogenital Radiology (ESUR)-International Society of Geriatric Oncology (SIOG) guidelines on screening, diagnosis, and local treatment of clinically localised prostate cancer (PCa). EVIDENCE ACQUISITION The panel performed a literature review of new data, covering the time frame between 2016 and 2020. The guidelines were updated and a strength rating for each recommendation was added based on a systematic review of the evidence. EVIDENCE SYNTHESIS A risk-adapted strategy for identifying men who may develop PCa is advised, generally commencing at 50 yr of age and based on individualised life expectancy. Risk-adapted screening should be offered to men at increased risk from the age of 45 yr and to breast cancer susceptibility gene (BRCA) mutation carriers, who have been confirmed to be at risk of early and aggressive disease (mainly BRAC2), from around 40 yr of age. The use of multiparametric magnetic resonance imaging in order to avoid unnecessary biopsies is recommended. When a biopsy is performed, a combination of targeted and systematic biopsies must be offered. There is currently no place for the routine use of tissue-based biomarkers. Whilst prostate-specific membrane antigen positron emission tomography computed tomography is the most sensitive staging procedure, the lack of outcome benefit remains a major limitation. Active surveillance (AS) should always be discussed with low-risk patients, as well as with selected intermediate-risk patients with favourable International Society of Urological Pathology (ISUP) 2 lesions. Local therapies are addressed, as well as the AS journey and the management of persistent prostate-specific antigen after surgery. A strong recommendation to consider moderate hypofractionation in intermediate-risk patients is provided. Patients with cN1 PCa should be offered a local treatment combined with long-term hormonal treatment. CONCLUSIONS The evidence in the field of diagnosis, staging, and treatment of localised PCa is evolving rapidly. The 2020 EAU-EANM-ESTRO-ESUR-SIOG guidelines on PCa summarise the most recent findings and advice for their use in clinical practice. These PCa guidelines reflect the multidisciplinary nature of PCa management. PATIENT SUMMARY Updated prostate cancer guidelines are presented, addressing screening, diagnosis, and local treatment with curative intent. These guidelines rely on the available scientific evidence, and new insights will need to be considered and included on a regular basis. In some cases, the supporting evidence for new treatment options is not yet strong enough to provide a recommendation, which is why continuous updating is important. Patients must be fully informed of all relevant options and, together with their treating physicians, decide on the most optimal management for them.
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Affiliation(s)
- Nicolas Mottet
- Department of Urology, University Hospital, St. Etienne, France.
| | | | | | | | | | - Maria De Santis
- Department of Urology, Charité Universitätsmedizin, Berlin, Germany; Department of Urology, Medical University of Vienna, Vienna, Austria
| | - Stefano Fanti
- Department of Nuclear Medicine, Policlinico S. Orsola, University of Bologna, Italy
| | - Nicola Fossati
- Unit of Urology/Division of Oncology, URI, IRCCS Ospedale San Raffaele, Milan, Italy; Università Vita-Salute San Raffaele, Milan, Italy
| | - Giorgio Gandaglia
- Unit of Urology/Division of Oncology, URI, IRCCS Ospedale San Raffaele, Milan, Italy; Università Vita-Salute San Raffaele, Milan, Italy
| | - Silke Gillessen
- Oncology Institute of Southern Switzerland, Bellinzona, Switzerland; Università della Svizzera Italiana, Lugano, Switzerland; Division of Cancer Sciences, University of Manchester, Manchester, UK
| | - Nikos Grivas
- Department of Urology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Jeremy Grummet
- Department of Surgery, Central Clinical School, Monash University, Caulfield North, Victoria, Australia
| | - Ann M Henry
- Leeds Cancer Centre, St. James's University Hospital and University of Leeds, Leeds, UK
| | | | - Thomas B Lam
- Academic Urology Unit, University of Aberdeen, Aberdeen, UK; Department of Urology, Aberdeen Royal Infirmary, Aberdeen, UK
| | - Michael Lardas
- Department of Urology, Metropolitan General Hospital, Athens, Greece
| | - Matthew Liew
- Department of Urology, Wrightington, Wigan and Leigh NHS Foundation Trust, Wigan, UK
| | - Malcolm D Mason
- Division of Cancer and Genetics, School of Medicine Cardiff University, Velindre Cancer Centre, Cardiff, UK
| | - Lisa Moris
- Department of Urology, University Hospitals Leuven, Leuven, Belgium; Laboratory of Molecular Endocrinology, KU Leuven, Leuven, Belgium
| | - Daniela E Oprea-Lager
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, VU Medical Center, Amsterdam, The Netherlands
| | - Henk G van der Poel
- Department of Urology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Olivier Rouvière
- Hospices Civils de Lyon, Department of Urinary and Vascular Imaging, Hôpital Edouard Herriot, Lyon, France; Faculté de Médecine Lyon Est, Université de Lyon, Université Lyon 1, Lyon, France
| | - Ivo G Schoots
- Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands; Department of Radiology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Derya Tilki
- Martini-Klinik Prostate Cancer Center, University Hospital Hamburg-Eppendorf, Hamburg, Germany; Department of Urology, University Hospital Hamburg-Eppendorf, Hamburg, Germany
| | - Thomas Wiegel
- Department of Radiation Oncology, University Hospital Ulm, Ulm, Germany
| | - Peter-Paul M Willemse
- Department of Urology, Cancer Center University Medical Center Utrecht, Utrecht, The Netherlands
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French WW, Wallen EM. Advances in the diagnostic options for prostate cancer. Postgrad Med 2020; 132:52-62. [PMID: 32900250 DOI: 10.1080/00325481.2020.1822067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
Over the past decade, despite the controversies surrounding prostate cancer screening, significant refinements have improved its application. PSA screening, although it has been questioned, appears to confer a mortality benefit and remains the most effective way to identify the possible presence of prostate cancer. Methods to improve the specificity of PSA screening and limit overdiagnosis of indolent cancers, including risk-stratified screening regimens, are currently being utilized. Certain imaging modalities, such as multiparametric MRI, have proven to be excellent adjuncts providing improved risk stratification and the ability for targeted biopsies; however, concerns over variability in interpretation and generalizability persist. A number of novel biomarkers have become available with nearly all demonstrating the ability to improve upon the specificity of PSA screening; however, optimal timing, direct comparisons, and usefulness in conjunction with imaging modalities remain to be elucidated. With the improvement in testing options and recognition of the risk/benefit ratio for men undergoing screening for prostate cancer, the increasing role of shared decision making in the process is emphasized.
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Affiliation(s)
- William W French
- Department of Urology, University of North Carolina Medical Center , Chapel Hill, NC, United States
| | - Eric M Wallen
- Department of Urology, University of North Carolina Medical Center , Chapel Hill, NC, United States
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Whish-Wilson T, Costello D, Finch S, Sutherland T, Wong LM. Funding of prostate magnetic resonance imaging leads to fewer biopsies and potential savings to health systems in the management of prostate cancer. BJU Int 2020; 127 Suppl 1:6-12. [PMID: 33025681 DOI: 10.1111/bju.15231] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVES To assess the impact of the introduction of multiparametric magnetic resonance imaging of the prostate (mpMRIp) on the number of prostate biopsies performed in Australia. METHODS Australian Medicare published statistics from 1 July 2007 to 30 June 2019 were obtained from publically available databases for prostate-specific antigen (PSA) testing, prostate biopsy, and mpMRIp. Analysis was divided into three time periods broadly based on availability of mpMRI to the Australian public: 2007-2012 (no mpMRIp), 2012-2018 (mpMRIp available, privately funded), and 2018-2019 (mpMRIp available with Medicare funding). Introduction of mpMRIp was hypothesised to reduce the number of prostate biopsies performed. PSA testing numbers were used as a control. The economics model, proposed by the Medical Services Advisory Committee (MSAC), was analysed for cost savings. RESULTS Accounting for variations in PSA testing, the introduction of mpMRIp from 2012 coincided with a reduction in the number of prostate biopsies by an average of 354.7/month (95% CI 175, 534.4; P < 0.001). Whilst the number of mpMRIp performed for the initial 12 months was underestimated by the MSAC at 38 470 vs 20 149 (+$8.3 million Australian dollars), we estimate the annual savings from reduced number biopsies and biopsy-associated complications to be $13.2 ± 9.6 million. CONCLUSION Availability of mpMRIp in Australia has correlated with a significant reduction in prostate biopsy rates, with an estimated annual saving of $13.2 ± 9.6 million. Government funding of this diagnostic service has the potential to improve health equity and save on health expenditure.
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Affiliation(s)
- Thomas Whish-Wilson
- Department of Surgery, St. Vincent's Hospital Melbourne, Fitzroy, Vic., Australia.,Department of Surgery, The University of Melbourne, Melbourne, Vic., Australia
| | - Daniel Costello
- Department of Surgery, St. Vincent's Hospital Melbourne, Fitzroy, Vic., Australia.,Department of Surgery, The University of Melbourne, Melbourne, Vic., Australia
| | - Sue Finch
- Statistical Consulting Centre and Melbourne Statistical Consulting Platform, The University of Melbourne, Melbourne, Vic., Australia
| | - Tom Sutherland
- Department of Surgery, The University of Melbourne, Melbourne, Vic., Australia.,Medical Imaging Department, St. Vincent's Hospital Melbourne, Fitzroy, Vic., Australia
| | - Lih-Ming Wong
- Department of Surgery, St. Vincent's Hospital Melbourne, Fitzroy, Vic., Australia.,Department of Surgery, The University of Melbourne, Melbourne, Vic., Australia
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Young S, Gasparetto A, Jalaeian H, Golzarian J. Biomarkers in the setting of benign prostatic hyperplasia-induced lower urinary tract symptoms: what an interventional radiologist needs to know. Br J Radiol 2020; 93:20200484. [PMID: 32706988 DOI: 10.1259/bjr.20200484] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
With increasing evidence to support prostate artery embolization (PAE) in the treatment of benign prostatic hyperplasia (BPH)-induced lower urinary tract symptoms (LUTS), Interventional Radiologists have begun to play an important role in the management of these patients. One area of knowledge needed when developing a PAE practice is knowledge of prostate-specific antigen (PSA) and other biomarkers utilized to detect prostate cancer in this population and what role they should play in the work up and follow-up of patients presenting with presumed BPH-induced LUTS. Furthermore, understanding how to evaluate presumed BPH-induced LUTS and stratify the risk of prostate cancer is an important skill to develop. The goal of this review is to provide Interventional Radiologists who have begun or aim to begin a PAE practice with the information they need to know regarding PSA levels and prostate cancer risk stratification for this patient population.
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Affiliation(s)
- Shamar Young
- Department of Radiology, University of Minnesota. 420 Delaware ST SE MMC 292, Minneapolis, MN 55455, United States
| | - Alessandro Gasparetto
- Department of Radiology, University of Minnesota. 420 Delaware ST SE MMC 292, Minneapolis, MN 55455, United States
| | - Hamed Jalaeian
- Department of Interventional Radiology, University of Miami 1115 NW 14 St, Miami, FL, 33136, United States
| | - Jafar Golzarian
- Department of Radiology, University of Minnesota. 420 Delaware ST SE MMC 292, Minneapolis, MN 55455, United States
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