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Amparore D, DE Cillis S, Granato S, Ortenzi M, Della Corte M, Sica M, Piana A, Verri P, DE Luca S, Manfredi M, Fiori C, Mengozzi G, Bergamaschi E, Mariella G, Occhipinti S, Porpiglia F. Urinary PSA-ZINC biomarker outperforms standard of care in early detection of prostate cancer. Minerva Urol Nephrol 2024; 76:340-350. [PMID: 38864687 DOI: 10.23736/s2724-6051.24.05783-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/13/2024]
Abstract
BACKGROUND Urine is a promising biological fluid for prostate cancer (PCa) diagnostics due to its non-invasive collection and wide range of biomarkers. The aim of this study was to assess the role of urinary PSA (uPSA) and urinary Zinc (uZinc) as biomarkers for the diagnosis of PCa in combination with routine parameters of standard of care (SOC - blood PSA, abnormal DRE, age) and MRI in patients candidates for prostate biopsy. METHODS Urine samples after prostatic massages were collected from men with suspected PCa scheduled for prostate biopsy. Quantification of uPSA was performed by ECLIA platform and confirmed by ELISA assay, while uZinc measurement was evaluated by ICP-MS and confirmed by colorimetric in vitro assay. Six multivariate logistic regression analysis were performed to assess diagnostic performance of uPSA and uZinc (urine), SOC and MRI alone, and combination of MRI+SOC, MRI+urine and SOC+MRI+urine. The discriminative power of the logistic models was assessed by calculating the area under the receiver operating characteristic (ROC) curves (AUC). RESULTS Two hundred thirty-eight patients were included in the analysis; 145 of them were diagnosed with PCa. Urine test showed a better discrimination of HS from CP, in respect of uPSA and uZinc alone, both for PCa of any grade and Gleason Score ≥7 (4+3) (AUC 0.804 and 0.823 respectively). ROC curve combining SOC+MRI+urine showed an AUC=0.882, that is statistically different from SOC or MRI alone, or MRI+SOC (P=0.0001, P=0.0001, and P=0.008 respectively). PCa risk algorithm designed considering SOC+MRI+urine results in potential reduction of 57% of unnecessary biopsies compared to the current standard parameters. CONCLUSIONS The loss of uPSA and Zinc production and secretion during neoplastic transformation of the prostate could potentially represent a hallmark of PCa. Its combination with age, PSA and DRE, as well as with mpMRI could represent an interesting approach to improve the diagnostic accuracy of PCa.
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Affiliation(s)
- Daniele Amparore
- Division of Urology, Department of Oncology, San Luigi Gonzaga Hospital, University of Turin, Orbassano, Turin, Italy -
| | - Sabrina DE Cillis
- Division of Urology, Department of Oncology, San Luigi Gonzaga Hospital, University of Turin, Orbassano, Turin, Italy
| | - Stefano Granato
- Division of Urology, Department of Oncology, San Luigi Gonzaga Hospital, University of Turin, Orbassano, Turin, Italy
| | - Michele Ortenzi
- Division of Urology, Department of Oncology, San Luigi Gonzaga Hospital, University of Turin, Orbassano, Turin, Italy
| | - Marcello Della Corte
- Division of Urology, Department of Oncology, San Luigi Gonzaga Hospital, University of Turin, Orbassano, Turin, Italy
| | - Michele Sica
- Division of Urology, Department of Oncology, San Luigi Gonzaga Hospital, University of Turin, Orbassano, Turin, Italy
| | - Alberto Piana
- Division of Urology, Department of Oncology, San Luigi Gonzaga Hospital, University of Turin, Orbassano, Turin, Italy
| | - Paolo Verri
- Division of Urology, Department of Oncology, San Luigi Gonzaga Hospital, University of Turin, Orbassano, Turin, Italy
| | - Stefano DE Luca
- Division of Urology, Department of Oncology, San Luigi Gonzaga Hospital, University of Turin, Orbassano, Turin, Italy
| | - Matteo Manfredi
- Division of Urology, Department of Oncology, San Luigi Gonzaga Hospital, University of Turin, Orbassano, Turin, Italy
| | - Cristian Fiori
- Division of Urology, Department of Oncology, San Luigi Gonzaga Hospital, University of Turin, Orbassano, Turin, Italy
| | - Giulio Mengozzi
- Clinical Biochemistry Laboratory, Department of Laboratory Medicine, AOU Città della Salute e della Scienza di Torino, Turin, Italy
| | - Enrico Bergamaschi
- Laboratory of Toxicology and Industrial Epidemiology, Department of Public Health Sciences and Pediatrics, University of Turin, Turin, Italy
| | - Giuseppe Mariella
- Laboratory of Toxicology and Industrial Epidemiology, Department of Public Health Sciences and Pediatrics, University of Turin, Turin, Italy
| | - Sergio Occhipinti
- NIB biotec Srl, Innovation Center, Turin, Italy
- Department of Molecular Biotechnologies and Health Sciences, University of Turin, Turin, Italy
| | - Francesco Porpiglia
- Division of Urology, Department of Oncology, San Luigi Gonzaga Hospital, University of Turin, Orbassano, Turin, Italy
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Juusti V, Rannikko A, Laurila A, Sundvall M, Hänninen P, Kulpakko J. Phage Biosensor for the Classification of Metastatic Urological Cancers from Urine. Life (Basel) 2024; 14:600. [PMID: 38792621 PMCID: PMC11122065 DOI: 10.3390/life14050600] [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: 03/28/2024] [Revised: 05/02/2024] [Accepted: 05/06/2024] [Indexed: 05/26/2024] Open
Abstract
Most of the annual 10 million cancer-related deaths are caused by metastatic disease. Survival rates for cancer are strongly dependent on the type of cancer and its stage at detection. Early detection remains a challenge due to the lack of reliable biomarkers and cost-efficient screening methods. Phage biosensors can offer a solution for early detection using non-invasive liquid biopsies. Here, we report the first results of the bifunctional phage biosensor to detect metastatic urological cancers from urine. A dye-sensitized phage library was used to select metastasis-related phage binders. After selection rounds, the most promising phage candidate was used to classify metastatic cancer from controls. Additionally, we applied one chemical sensor (phenoxazine non-fluorescent dye) to classify cancer from urine. A statistical significance (p = 0.0002) was observed between metastatic and non-metastatic cancer, with sensitivity of 70% and specificity of 79%. Furthermore, the chemical sensor demonstrated significance in detecting cancer (p < 0.0001) with a sensitivity of 71% and a specificity of 75%. Our data suggest a new promising field for urine biomarker research, and further evaluation with prospectively collected samples is ongoing. In conclusion, we report, for the first time, the potential of a chemical- and phage-based biosensor method to detect metastatic cancer using urine.
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Affiliation(s)
- Vilhelmiina Juusti
- Laboratory of Biophysics and Medicity Research Laboratories, Institute of Biomedicine, Faculty of Medicine, University of Turku, Tykistökatu 6A, 20520 Turku, Finland
- Aqsens Health Ltd., Itäinen Pitkäkatu 4B, 20520 Turku, Finland
| | - Antti Rannikko
- Department of Urology, Helsinki University, Helsinki University Hospital, 00280 Helsinki, Finland
| | - Anu Laurila
- Department of Oncology, Turku University Hospital, PL52, 20521 Turku, Finland
| | - Maria Sundvall
- Department of Oncology, Turku University Hospital, PL52, 20521 Turku, Finland
- Cancer Research Unit, Institute of Biomedicine, FICAN West Cancer Center Laboratory, University of Turku, Turku University Hospital, Kiinamyllynkatu 10, 20520 Turku, Finland
| | - Pekka Hänninen
- Laboratory of Biophysics and Medicity Research Laboratories, Institute of Biomedicine, Faculty of Medicine, University of Turku, Tykistökatu 6A, 20520 Turku, Finland
| | - Janne Kulpakko
- Aqsens Health Ltd., Itäinen Pitkäkatu 4B, 20520 Turku, Finland
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3
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Bounoua N, Cetinkaya A, Piskin E, Kaya SI, Ozkan SA. The sensor applications for prostate and lung cancer biomarkers in terms of electrochemical analysis. Anal Bioanal Chem 2024; 416:2277-2300. [PMID: 38279011 DOI: 10.1007/s00216-024-05134-x] [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: 09/01/2023] [Revised: 12/24/2023] [Accepted: 01/09/2024] [Indexed: 01/28/2024]
Abstract
Prostate and lung cancers are the most common types of cancer and affect a large part of the population around the world, causing deaths. Therefore, the rapid identification of cancer can profoundly impact reducing cancer-related death rates and protecting human lives. Significant resources have been dedicated to investigating new methods for early disease detection. Cancer biomarkers encompass various biochemical entities, including nucleic acids, proteins, sugars, small metabolites, cytogenetic and cytokinetic parameters, and whole tumor cells in bodily fluids. These tools can be utilized for various purposes, such as risk assessment, diagnosis, prognosis, treatment efficacy, toxicity evaluation, and predicting a return. Due to these versatile and critical purposes, there are widespread studies on the development of new, sensitive, and selective approaches for the determination of cancer biomarkers. This review illustrates the significant lung and prostate cancer biomarkers and their determination utilizing electrochemical sensors, which have the advantage of improved sensitivity, low cost, and simple analysis. Additionally, approaches such as improving sensitivity with nanomaterials and ensuring selectivity with MIPs are used to increase the performance of the sensor. This review aims to overview the most recent electrochemical biosensor applications for determining vital biomarkers of prostate and lung cancers in terms of nanobiosensors and molecularly imprinted polymer (MIP)-based biosensors.
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Affiliation(s)
- Nadia Bounoua
- Department of Exact Sciences, Laboratory of the Innovation Sponsorship and the Emerging Institution for Graduates of Higher Education of Sustainable Development and Dealing with Emerging Conditions, Normal Higher School of Bechar, Bechar, Algeria
- Laboratory of Chemical and Environmental Science (LCSE), 8000, Bechar, Algeria
| | - Ahmet Cetinkaya
- Department of Analytical Chemistry, Faculty of Pharmacy, Ankara University, Ankara, Turkey
- Graduate School of Health Sciences, Ankara University, Ankara, Turkey
| | - Ensar Piskin
- Department of Analytical Chemistry, Faculty of Pharmacy, Ankara University, Ankara, Turkey
- Graduate School of Health Sciences, Ankara University, Ankara, Turkey
| | - S Irem Kaya
- Department of Analytical Chemistry, Gulhane Faculty of Pharmacy, University of Health Sciences, Ankara, Turkey.
| | - Sibel A Ozkan
- Department of Analytical Chemistry, Faculty of Pharmacy, Ankara University, Ankara, Turkey.
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4
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Liu S, Hawley SJ, Kunder CA, Hsu EC, Shen M, Westphalen L, Auman H, Newcomb LF, Lin DW, Nelson PS, Feng Z, Tretiakova MS, True LD, Vakar-Lopez F, Carroll PR, Simko J, Gleave ME, Troyer DA, McKenney JK, Brooks JD, Liss MA, Stoyanova T. High expression of Trop2 is associated with aggressive localized prostate cancer and is a candidate urinary biomarker. Sci Rep 2024; 14:486. [PMID: 38177207 PMCID: PMC10766957 DOI: 10.1038/s41598-023-50215-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Accepted: 12/16/2023] [Indexed: 01/06/2024] Open
Abstract
Distinguishing indolent from clinically significant localized prostate cancer is a major clinical challenge and influences clinical decision-making between treatment and active surveillance. The development of novel predictive biomarkers will help with risk stratification, and clinical decision-making, leading to a decrease in over or under-treatment of patients with prostate cancer. Here, we report that Trop2 is a prognostic tissue biomarker for clinically significant prostate cancer by utilizing the Canary Prostate Cancer Tissue Microarray (CPCTA) cohort composed of over 1100 patients from a multi-institutional study. We demonstrate that elevated Trop2 expression is correlated with worse clinical features including Gleason score, age, and pre-operative PSA levels. More importantly, we demonstrate that elevated Trop2 expression at radical prostatectomy predicts worse overall survival in men undergoing radical prostatectomy. Additionally, we detect shed Trop2 in urine from men with clinically significant prostate cancer. Our study identifies Trop2 as a novel tissue prognostic biomarker and a candidate non-invasive marker for prostate cancer.
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Affiliation(s)
- Shiqin Liu
- Department of Molecular and Medical Pharmacology, University of California Los Angeles, Los Angeles, CA, USA
| | | | | | - En-Chi Hsu
- Department of Radiology, Stanford University, Palo Alto, CA, USA
| | - Michelle Shen
- Department of Molecular and Medical Pharmacology, University of California Los Angeles, Los Angeles, CA, USA
| | - Lennart Westphalen
- Department of Molecular and Medical Pharmacology, University of California Los Angeles, Los Angeles, CA, USA
| | | | - Lisa F Newcomb
- Department of Urology, University of Washington, Seattle, WA, USA
| | - Daniel W Lin
- Department of Urology, University of Washington, Seattle, WA, USA
| | - Peter S Nelson
- Division of Human Biology, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Ziding Feng
- Program of Biostatistics and Biomathematics, Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Maria S Tretiakova
- Department of Laboratory Medicine and Pathology, University of Washington Medical Center, Seattle, WA, USA
| | - Lawrence D True
- Department of Laboratory Medicine and Pathology, University of Washington Medical Center, Seattle, WA, USA
| | - Funda Vakar-Lopez
- Department of Laboratory Medicine and Pathology, University of Washington Medical Center, Seattle, WA, USA
| | - Peter R Carroll
- Department of Urology, Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
| | - Jeffry Simko
- Department of Urology, Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
| | - Martin E Gleave
- Department of Urologic Sciences, University of British Columbia, Vancouver, BC, Canada
| | - Dean A Troyer
- Department of Pathology, Eastern Virginia Medical School, Norfolk, VA, USA
| | - Jesse K McKenney
- Department of Anatomic Pathology, Cleveland Clinic, Cleveland, OH, USA
| | - James D Brooks
- Department of Urology, Stanford University, Palo Alto, CA, USA
| | - Michael A Liss
- Department of Urology, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA.
| | - Tanya Stoyanova
- Department of Molecular and Medical Pharmacology, University of California Los Angeles, Los Angeles, CA, USA.
- Department of Urology, University of California, Los Angeles, Los Angeles, CA, USA.
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5
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Feng Y, Huo Q, Li BY, Yokota H. Unveiling the Dichotomy of Urinary Proteins: Diagnostic Insights into Breast and Prostate Cancer and Their Roles. Proteomes 2023; 12:1. [PMID: 38250812 PMCID: PMC10801584 DOI: 10.3390/proteomes12010001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Revised: 12/21/2023] [Accepted: 12/22/2023] [Indexed: 01/23/2024] Open
Abstract
This review covers the diagnostic potential of urinary biomarkers, shedding light on their linkage to cancer progression. Urinary biomarkers offer non-invasive avenues for detecting cancers, potentially bypassing the invasiveness of biopsies. The investigation focuses primarily on breast and prostate cancers due to their prevalence among women and men, respectively. The intricate interplay of urinary proteins is explored, revealing a landscape where proteins exhibit context-dependent behaviors. The review highlights the potential impact of physical activity on urinary proteins, suggesting its influence on tumorigenic behaviors. Exercise-conditioned urine may emerge as a potential diagnostic biomarker source. Furthermore, treatment effects, notably after lumpectomy and prostatectomy, induce shifts in the urinary proteome, indicating therapeutic impacts rather than activating oncogenic signaling. The review suggests further investigations into the double-sided, context-dependent nature of urinary proteins, the potential role of post-translational modifications (PTM), and the integration of non-protein markers like mRNA and metabolites. It also discusses a linkage of urinary proteomes with secretomes from induced tumor-suppressing cells (iTSCs). Despite challenges like cancer heterogeneity and sample variability due to age, diet, and comorbidities, harnessing urinary proteins and proteoforms may hold promise for advancing our understanding of cancer progressions, as well as the diagnostic and therapeutic role of urinary proteins.
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Affiliation(s)
- Yan Feng
- Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou 310022, China;
| | - Qingji Huo
- Department of Pharmacology, College of Pharmacy, Harbin Medical University, Harbin 150081, China;
- Department of Biomedical Engineering, Indiana University Purdue University Indianapolis, Indianapolis, IN 46202, USA
| | - Bai-Yan Li
- Department of Pharmacology, College of Pharmacy, Harbin Medical University, Harbin 150081, China;
| | - Hiroki Yokota
- Department of Biomedical Engineering, Indiana University Purdue University Indianapolis, Indianapolis, IN 46202, USA
- Indiana Center for Musculoskeletal Health, Indiana University School of Medicine, Indianapolis, IN 46202, USA
- Indiana University Simon Comprehensive Cancer Center, Indianapolis, IN 46202, USA
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6
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Gilyazova I, Ivanova E, Gupta H, Mustafin A, Ishemgulov R, Izmailov A, Gilyazova G, Pudova E, Pavlov V, Khusnutdinova E. miRNA Expression Patterns in Early- and Late-Stage Prostate Cancer Patients: High-Throughput Analysis. Biomedicines 2023; 11:3073. [PMID: 38002073 PMCID: PMC10669269 DOI: 10.3390/biomedicines11113073] [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: 09/27/2023] [Revised: 11/09/2023] [Accepted: 11/10/2023] [Indexed: 11/26/2023] Open
Abstract
Prostate cancer (PCa) is one of the most common types of cancer among men. To date, there have been no specific markers identified for the diagnosis and prognosis or response to treatment of this disease. Thus, there is an urgent need for promising markers, which may be fulfilled by small non-coding RNAs known as microRNAs (miRNAs). Therefore, the present study aimed to investigate the miRNA profile in tissue samples obtained from patients with PCa using microarrays, followed by reverse transcriptase quantitative PCRs (RT-qPCRs). In the discovery phase, 754 miRNAs were screened in tissues obtained from patients (n = 46) with PCa in early and late stages. Expression levels of miRNA-324-3p, miRNA-429, miRNA-570, and miRNA-616 were found to be downregulated, and miRNA-423-5p expression was upregulated in patients with early-stage cancer compared to the late-stage ones. These five miRNAs were further validated in an independent cohort of samples (n = 39) collected from patients with PCa using RT-qPCR-based assays. MiRNA-324-3p, miRNA-429, miRNA-570, and miRNA-616 expression levels remained significantly downregulated in early-stage cancer tissues compared to late-stage tissues. Remarkably, for a combination of three miRNAs, PSA levels and Gleason scores were able to discriminate between patients with early-stage PCa and late-stage PCa, with an AUC of 95%, a sensitivity of 86%, and a specificity close to 94%. Thus, the data obtained in this study suggest a possible involvement of the identified miRNAs in the pathogenesis of PCa, and they may also have the potential to be developed into diagnostic and prognostic tools for PCa. However, further studies with a larger cohort are needed.
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Affiliation(s)
- Irina Gilyazova
- Subdivision of the Ufa Federal Research Centre of the Russian Academy of Sciences, Institute of Biochemistry and Genetics, 450054 Ufa, Russia; (E.I.)
- Institute of Urology and Clinical Oncology, Department of Medical Genetics and Fundamental Medicine, Bashkir State Medical University, 450008 Ufa, Russia
| | - Elizaveta Ivanova
- Subdivision of the Ufa Federal Research Centre of the Russian Academy of Sciences, Institute of Biochemistry and Genetics, 450054 Ufa, Russia; (E.I.)
- Biology Department, St. Petersburg State University, 199034 Saint-Petersburg, Russia
| | - Himanshu Gupta
- Department of Biotechnology, Institute of Applied Sciences and Humanities, GLA University, Mathura 281406, India;
| | - Artur Mustafin
- Institute of Urology and Clinical Oncology, Department of Medical Genetics and Fundamental Medicine, Bashkir State Medical University, 450008 Ufa, Russia
| | - Ruslan Ishemgulov
- Institute of Urology and Clinical Oncology, Department of Medical Genetics and Fundamental Medicine, Bashkir State Medical University, 450008 Ufa, Russia
| | - Adel Izmailov
- Institute of Urology and Clinical Oncology, Department of Medical Genetics and Fundamental Medicine, Bashkir State Medical University, 450008 Ufa, Russia
| | - Gulshat Gilyazova
- Institute of Urology and Clinical Oncology, Department of Medical Genetics and Fundamental Medicine, Bashkir State Medical University, 450008 Ufa, Russia
| | - Elena Pudova
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia
| | - Valentin Pavlov
- Institute of Urology and Clinical Oncology, Department of Medical Genetics and Fundamental Medicine, Bashkir State Medical University, 450008 Ufa, Russia
| | - Elza Khusnutdinova
- Subdivision of the Ufa Federal Research Centre of the Russian Academy of Sciences, Institute of Biochemistry and Genetics, 450054 Ufa, Russia; (E.I.)
- Institute of Urology and Clinical Oncology, Department of Medical Genetics and Fundamental Medicine, Bashkir State Medical University, 450008 Ufa, Russia
- Biology Department, St. Petersburg State University, 199034 Saint-Petersburg, Russia
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7
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Chen JY, Wang PY, Liu MZ, Lyu F, Ma MW, Ren XY, Gao XS. Biomarkers for Prostate Cancer: From Diagnosis to Treatment. Diagnostics (Basel) 2023; 13:3350. [PMID: 37958246 PMCID: PMC10649216 DOI: 10.3390/diagnostics13213350] [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: 09/01/2023] [Revised: 09/26/2023] [Accepted: 10/18/2023] [Indexed: 11/15/2023] Open
Abstract
Prostate cancer (PCa) is a widespread malignancy with global significance, which substantially affects cancer-related mortality. Its spectrum varies widely, from slow-progressing cases to aggressive or even lethal forms. Effective patient stratification into risk groups is crucial to therapeutic decisions and clinical trials. This review examines a wide range of diagnostic and prognostic biomarkers, several of which are integrated into clinical guidelines, such as the PHI, the 4K score, PCA3, Decipher, and Prolaris. It also explores the emergence of novel biomarkers supported by robust preclinical evidence, including urinary miRNAs and isoprostanes. Genetic alterations frequently identified in PCa, including BRCA1/BRCA2, ETS gene fusions, and AR changes, are also discussed, offering insights into risk assessment and precision treatment strategies. By evaluating the latest developments and applications of PCa biomarkers, this review contributes to an enhanced understanding of their role in disease management.
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Affiliation(s)
- Jia-Yan Chen
- Department of Radiation Oncology, Peking University First Hospital, Beijing 100034, China; (J.-Y.C.); (F.L.); (M.-W.M.); (X.-Y.R.)
| | - Pei-Yan Wang
- School of Information, University of Michigan, Ann Arbor, MI 48109, USA;
| | - Ming-Zhu Liu
- Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou 350014, China;
| | - Feng Lyu
- Department of Radiation Oncology, Peking University First Hospital, Beijing 100034, China; (J.-Y.C.); (F.L.); (M.-W.M.); (X.-Y.R.)
| | - Ming-Wei Ma
- Department of Radiation Oncology, Peking University First Hospital, Beijing 100034, China; (J.-Y.C.); (F.L.); (M.-W.M.); (X.-Y.R.)
| | - Xue-Ying Ren
- Department of Radiation Oncology, Peking University First Hospital, Beijing 100034, China; (J.-Y.C.); (F.L.); (M.-W.M.); (X.-Y.R.)
| | - Xian-Shu Gao
- Department of Radiation Oncology, Peking University First Hospital, Beijing 100034, China; (J.-Y.C.); (F.L.); (M.-W.M.); (X.-Y.R.)
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8
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Buller D, Sahl J, Staff I, Tortora J, Pinto K, McLaughlin T, Olivo Valentin L, Wagner J. Prostate Cancer Detection and Complications of Transperineal Versus Transrectal Magnetic Resonance Imaging-fusion Guided Prostate Biopsies. Urology 2023; 177:109-114. [PMID: 37059232 DOI: 10.1016/j.urology.2023.04.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Revised: 03/31/2023] [Accepted: 04/04/2023] [Indexed: 04/16/2023]
Abstract
OBJECTIVE To assess the rates of detection of clinically significant prostate cancer (csPCa) and complications associated with transperineal (TP) and transrectal (TR) biopsy approaches to magnetic resonance imaging (MRI)-fusion targeted biopsy. MATERIALS AND METHODS We retrospectively identified men who underwent TP or TR MRI-targeted biopsy with concurrent systematic random biopsy from August 2020 to August 2021. Primary outcomes were detection rates of csPCa and 30-day complication rates between the 2 MRI-biopsy groups. Data were additionally stratified by prior biopsy status. RESULTS A total of 361 patients were included in the analysis. No demographic differences were observed. No significant differences were observed between TP and TR approaches on any of the outcomes of interest. TR MRI-targeted biopsies identified csPCa in 47.2% of patients, and TP MRI-targeted biopsies identified csPCa in 48.6% of patients (P = .78). No significant differences were observed in csPCa detection between the 2 approaches for patients on active surveillance (P = .59), patients with prior negative biopsy (P = .34), and patients who were biopsy naïve (P = .19). Complication rates did not vary by approach (P = .45). CONCLUSION Neither the identification of csPCa by MRI-targeted biopsy nor rates of complications differed significantly based on a TR or TP approach. No differences were seen between MRI-targeted approaches based on prior biopsy or active surveillance status.
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Affiliation(s)
| | - Jessa Sahl
- University of Connecticut School of Medicine, Farmington, CT.
| | - Ilene Staff
- Hartford Hospital Research Program, Hartford Hospital, Hartford, CT.
| | - Joseph Tortora
- Hartford Hospital Research Program, Hartford Hospital, Hartford, CT.
| | - Kevin Pinto
- Urology Division, Hartford Healthcare Medical Group, Hartford Hospital, Hartford, CT.
| | - Tara McLaughlin
- Urology Division, Hartford Healthcare Medical Group, Hartford Hospital, Hartford, CT.
| | - Laura Olivo Valentin
- Urology Division, Hartford Healthcare Medical Group, Hartford Hospital, Hartford, CT.
| | - Joseph Wagner
- Urology Division, Hartford Healthcare Medical Group, Hartford Hospital, Hartford, CT.
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9
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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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10
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Adverse upgrading and/or upstaging in contemporary low-risk prostate cancer patients. Int Urol Nephrol 2022; 54:2521-2528. [PMID: 35838831 PMCID: PMC9463257 DOI: 10.1007/s11255-022-03250-0] [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: 04/19/2022] [Accepted: 06/08/2022] [Indexed: 11/06/2022]
Abstract
Background Upgrading and/or upstaging in low-risk prostate cancer (PCa) patients may represent an indication for active treatment instead of active surveillance (AS). We addressed contemporary upgrading and/or upstaging rates in a large population based-cohort of low-risk PCa patients. Materials and methods Whitin the SEER database (2010–2015), NCCN low-risk PCa patients were identified across management modalities: radical prostatectomy (RP), radiotherapy (RT) and non-local treatment (NLT). In RP patients, upgrading and/or upstaging rates were assessed in logistic regression models. Results Overall, of 27,901 low-risk PCa patients, 38% underwent RP vs 28% RT vs 34% NLT. RP patients were the youngest and harbored the highest percentage of positive cores and a higher rate of cT2a than NLT. At RP, 46.2% were upgraded to GGG ≥ 2, 6.0% to GGG ≥ 3 and 10.5% harbored nonorgan-confined stage (NOC, pT3-4 or pN1). Of NOC patients, 1.6% harbored GGG ≥ 3, 6.3% harbored GGG2 and 2.6% harbored GGG1. Of pT2 patients, 4.4% harbored GGG ≥ 3, 33.9% harbored GGG2 and 51.3% harbored GGG1. Age, PSA, percentage of positive cores and number of positive cores independently predicted the presence of NOC and/or GGG ≥ 3, but with low accuracy (63.9%). Conclusions In low-risk PCa, critical changes between tumor grade and stage at biopsy vs RP may be expected in very few patients: NOC with GGG ≥ 3 in 1.6% and NOC with GGG2 in 6.3%. Other patients with upgrading and/or upstaging combinations will invariably harbor either pT2 or GGG1 that far less critically affect PCa prognosis.
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11
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Hougen HY, Merhe A, Punnen S. Pushing Fluids: A Case for Liquid Biomarkers Before Imaging in Pre-Prostate Biopsy Decision-making. Eur Urol Focus 2022; 8:893-894. [PMID: 35691842 DOI: 10.1016/j.euf.2022.05.007] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2022] [Revised: 05/22/2022] [Accepted: 05/31/2022] [Indexed: 11/15/2022]
Abstract
For patients with clinical suspicion of prostate cancer, liquid biomarkers are the next best test because of their accessibility, objectiveness, and noninvasive nature. A highly sensitive cutoff for these biomarkers should be used to triage patients before use of magnetic resonance imaging.
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Affiliation(s)
- Helen Y Hougen
- Desai Sethi Urology Institute, University of Miami Miller School of Medicine, Miami, FL, USA.
| | - Ali Merhe
- Desai Sethi Urology Institute, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Sanoj Punnen
- Desai Sethi Urology Institute, University of Miami Miller School of Medicine, Miami, FL, USA; Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, USA
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12
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Nevedomskaya E, Haendler B. From Omics to Multi-Omics Approaches for In-Depth Analysis of the Molecular Mechanisms of Prostate Cancer. Int J Mol Sci 2022; 23:ijms23116281. [PMID: 35682963 PMCID: PMC9181488 DOI: 10.3390/ijms23116281] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Revised: 05/24/2022] [Accepted: 06/01/2022] [Indexed: 02/01/2023] Open
Abstract
Cancer arises following alterations at different cellular levels, including genetic and epigenetic modifications, transcription and translation dysregulation, as well as metabolic variations. High-throughput omics technologies that allow one to identify and quantify processes involved in these changes are now available and have been instrumental in generating a wealth of steadily increasing data from patient tumors, liquid biopsies, and from tumor models. Extensive investigation and integration of these data have led to new biological insights into the origin and development of multiple cancer types and helped to unravel the molecular networks underlying this complex pathology. The comprehensive and quantitative analysis of a molecule class in a biological sample is named omics and large-scale omics studies addressing different prostate cancer stages have been performed in recent years. Prostate tumors represent the second leading cancer type and a prevalent cause of cancer death in men worldwide. It is a very heterogenous disease so that evaluating inter- and intra-tumor differences will be essential for a precise insight into disease development and plasticity, but also for the development of personalized therapies. There is ample evidence for the key role of the androgen receptor, a steroid hormone-activated transcription factor, in driving early and late stages of the disease, and this led to the development and approval of drugs addressing diverse targets along this pathway. Early genomic and transcriptomic studies have allowed one to determine the genes involved in prostate cancer and regulated by androgen signaling or other tumor-relevant signaling pathways. More recently, they have been supplemented by epigenomic, cistromic, proteomic and metabolomic analyses, thus, increasing our knowledge on the intricate mechanisms involved, the various levels of regulation and their interplay. The comprehensive investigation of these omics approaches and their integration into multi-omics analyses have led to a much deeper understanding of the molecular pathways involved in prostate cancer progression, and in response and resistance to therapies. This brings the hope that novel vulnerabilities will be identified, that existing therapies will be more beneficial by targeting the patient population likely to respond best, and that bespoke treatments with increased efficacy will be available soon.
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Affiliation(s)
| | - Bernard Haendler
- Correspondence: ; Tel.: +49-30-2215-41198; Fax: +49-30-468-18069
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13
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Comprehensive Landscape of HOXA2, HOXA9, and HOXA10 as Potential Biomarkers for Predicting Progression and Prognosis in Prostate Cancer. J Immunol Res 2022; 2022:5740971. [PMID: 35372588 PMCID: PMC8970952 DOI: 10.1155/2022/5740971] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Revised: 03/02/2022] [Accepted: 03/08/2022] [Indexed: 12/14/2022] Open
Abstract
Prostate cancer (PCa) is recognized as a common malignancy in male patients. The homeobox A cluster (HOXA) family members have been confirmed to be implicated in the development of several types of tumors. However, the expression pattern and prognostic values of HOXA genes in PCa have not been investigated. In this study, we analyzed TCGA datasets and identified six HOXA family members which showed a dysregulated expression in PCa specimens compared with nontumor specimens. We also explored the potential mechanisms involved in the dysregulation of HOXA family members in PCa, and the results of Pearson's correlation revealed that most HOXA members were negatively related to the methylation degree. Moreover, we explored the prognostic values of HOXA family members and identified six survival-related HOXA members. Importantly, HOXA2, HOXA9, and HOXA10 were identified as critical PCa-related genes which were abnormally expressed in PCa and associated with clinical outcomes of PCa patients. Then, we explored the association between the above three genes and immune cell infiltration. We observed that the levels of HOXA2, HOXA9, and HOXA10 were associated with the levels of immune infiltration of several kinds of immune cells. Overall, our findings identified the potential values of the HOXA family for outcome prediction in PCa, which might facilitate personalized counselling and treatment in PCa.
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14
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Morote J, Borque-Fernando A, Triquell M, Celma A, Regis L, Escobar M, Mast R, de Torres IM, Semidey ME, Abascal JM, Sola C, Servian P, Salvador D, Santamaría A, Planas J, Esteban LM, Trilla E. The Barcelona Predictive Model of Clinically Significant Prostate Cancer. Cancers (Basel) 2022; 14:cancers14061589. [PMID: 35326740 PMCID: PMC8946272 DOI: 10.3390/cancers14061589] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 03/15/2022] [Accepted: 03/16/2022] [Indexed: 02/06/2023] Open
Abstract
A new and externally validated MRI-PM for csPCa was developed in the metropolitan area of Barcelona, and a web-RC designed with the new option of selecting the csPCa probability threshold. The development cohort comprised 1486 men scheduled to undergo a 3-tesla multiparametric MRI (mpMRI) and guided and/or systematic biopsies in one academic institution of Barcelona. The external validation cohort comprised 946 men in whom the same diagnostic approach was carried out as in the development cohort, in two other academic institutions of the same metropolitan area. CsPCa was detected in 36.9% of men in the development cohort and 40.8% in the external validation cohort (p = 0.054). The area under the curve of mpMRI increased from 0.842 to 0.897 in the developed MRI-PM (p < 0.001), and from 0.743 to 0.858 in the external validation cohort (p < 0.001). A selected 15% threshold avoided 40.1% of prostate biopsies and missed 5.4% of the 36.9% csPCa detected in the development cohort. In men with PI-RADS <3, 4.3% would be biopsied and 32.3% of all existing 4.2% of csPCa would be detected. In men with PI-RADS 3, 62% of prostate biopsies would be avoided and 28% of all existing 12.4% of csPCa would be undetected. In men with PI-RADS 4, 4% of prostate biopsies would be avoided and 0.6% of all existing 43.1% of csPCa would be undetected. In men with PI-RADS 5, 0.6% of prostate biopsies would be avoided and none of the existing 42.0% of csPCa would be undetected. The Barcelona MRI-PM presented good performance on the overall population; however, its clinical usefulness varied regarding the PI-RADS category. The selection of csPCa probability thresholds in the designed RC may facilitate external validation and outperformance of MRI-PMs in specific PI-RADS categories.
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Affiliation(s)
- Juan Morote
- Department of Urology, Vall d’Hebron Hospital, 08035 Barcelona, Spain; (M.T.); (A.C.); (L.R.); (J.P.); (E.T.)
- Department of Surgery, Universitat Autònoma de Barcelona, 08193 Barcelona, Spain
- Correspondence: ; Tel.: +34-9327-46009
| | - Angel Borque-Fernando
- Department of Urology, Hospital Universitario Miguel Servet, IIS-Aragon, 50009 Zaragoza, Spain;
| | - Marina Triquell
- Department of Urology, Vall d’Hebron Hospital, 08035 Barcelona, Spain; (M.T.); (A.C.); (L.R.); (J.P.); (E.T.)
- Department of Surgery, Universitat Autònoma de Barcelona, 08193 Barcelona, Spain
| | - Anna Celma
- Department of Urology, Vall d’Hebron Hospital, 08035 Barcelona, Spain; (M.T.); (A.C.); (L.R.); (J.P.); (E.T.)
- Department of Surgery, Universitat Autònoma de Barcelona, 08193 Barcelona, Spain
| | - Lucas Regis
- Department of Urology, Vall d’Hebron Hospital, 08035 Barcelona, Spain; (M.T.); (A.C.); (L.R.); (J.P.); (E.T.)
- Department of Surgery, Universitat Autònoma de Barcelona, 08193 Barcelona, Spain
| | - Manel Escobar
- Department of Radiology, Vall d´Hebron Hospital, 08035 Barcelona, Spain; (M.E.); (R.M.)
| | - Richard Mast
- Department of Radiology, Vall d´Hebron Hospital, 08035 Barcelona, Spain; (M.E.); (R.M.)
| | - Inés M. de Torres
- Department of Pathology, Vall d´Hebron Hospital, 08035 Barcelona, Spain; (I.M.d.T.); (M.E.S.)
- Department of Morphological Sciences, Universitat Autònoma de Barcelona, 08193 Barcelona, Spain
| | - María E. Semidey
- Department of Pathology, Vall d´Hebron Hospital, 08035 Barcelona, Spain; (I.M.d.T.); (M.E.S.)
- Department of Morphological Sciences, Universitat Autònoma de Barcelona, 08193 Barcelona, Spain
| | - José M. Abascal
- Department of Urology, Parc de Salut Mar, 08003 Barcelona, Spain; (J.M.A.); (C.S.)
| | - Carles Sola
- Department of Urology, Parc de Salut Mar, 08003 Barcelona, Spain; (J.M.A.); (C.S.)
| | - Pol Servian
- Department of Urology, Hospital Germans Trias I Pujol, 08916 Badalona, Spain; (P.S.); (D.S.)
| | - Daniel Salvador
- Department of Urology, Hospital Germans Trias I Pujol, 08916 Badalona, Spain; (P.S.); (D.S.)
| | - Anna Santamaría
- Urology Research Group, Vall d´ Hebron Research Institute, 08035 Barcelona, Spain;
| | - Jacques Planas
- Department of Urology, Vall d’Hebron Hospital, 08035 Barcelona, Spain; (M.T.); (A.C.); (L.R.); (J.P.); (E.T.)
| | - Luis M. Esteban
- Department of Applied Mathematics, Escuela Universitaria Politécnica La Almunia, Universidad de Zaragoza, 50100 Zaragoza, Spain;
| | - Enrique Trilla
- Department of Urology, Vall d’Hebron Hospital, 08035 Barcelona, Spain; (M.T.); (A.C.); (L.R.); (J.P.); (E.T.)
- Department of Surgery, Universitat Autònoma de Barcelona, 08193 Barcelona, Spain
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15
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Multiplexed Prostate Cancer Companion Diagnostic Devices. SENSORS 2021; 21:s21155023. [PMID: 34372259 PMCID: PMC8347987 DOI: 10.3390/s21155023] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Revised: 07/19/2021] [Accepted: 07/21/2021] [Indexed: 12/17/2022]
Abstract
Prostate cancer (PCa) remains one of the most prominent forms of cancer for men. Since the early 1990s, Prostate-Specific Antigen (PSA) has been a commonly recognized PCa-associated protein biomarker. However, PSA testing has been shown to lack in specificity and sensitivity when needed to diagnose, monitor and/or treat PCa patients successfully. One enhancement could include the simultaneous detection of multiple PCa-associated protein biomarkers alongside PSA, also known as multiplexing. If conventional methods such as the enzyme-linked immunosorbent assay (ELISA) are used, multiplexed detection of such protein biomarkers can result in an increase in the required sample volume, in the complexity of the analytical procedures, and in adding to the cost. Using companion diagnostic devices such as biosensors, which can be portable and cost-effective with multiplexing capacities, may address these limitations. This review explores recent research for multiplexed PCa protein biomarker detection using optical and electrochemical biosensor platforms. Some of the novel and potential serum-based PCa protein biomarkers will be discussed in this review. In addition, this review discusses the importance of converting research protocols into multiplex point-of-care testing (xPOCT) devices to be used in near-patient settings, providing a more personalized approach to PCa patients’ diagnostic, surveillance and treatment management.
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16
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Low Levels of Urinary PSA Better Identify Prostate Cancer Patients. Cancers (Basel) 2021; 13:cancers13143570. [PMID: 34298784 PMCID: PMC8303247 DOI: 10.3390/cancers13143570] [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: 05/27/2021] [Revised: 07/09/2021] [Accepted: 07/13/2021] [Indexed: 01/08/2023] Open
Abstract
Simple Summary Elevated PSA levels in blood tests are the gold standard for early prostate cancer detection, but its lack of specificity limits its clinical use as a mass screening test. The paradox is that it has long been known that advanced prostate cancers can lose PSA expression. We have observed that in the presence of tumors, the prostate produces and secretes less PSA than in healthy or benign conditions. Therefore, the PSA evaluation in urine provided more accurate information on the presence of prostate tumors than the blood test, representing a new method for the screening of prostate cancer. Abstract Serum prostatic specific antigen (PSA) has proven to have limited accuracy in early diagnosis and in making clinical decisions about different therapies for prostate cancer (PCa). This is partially due to the fact that an increase in PSA in the blood is due to the compromised architecture of the prostate, which is only observed in advanced cancer. On the contrary, PSA observed in the urine (uPSA) reflects the quantity produced by the prostate, and therefore can give more information about the presence of disease. We enrolled 574 men scheduled for prostate biopsy at the urology clinic, and levels of uPSA were evaluated. uPSA levels resulted lower among subjects with PCa when compared to patients with negative biopsies. An indirect correlation was observed between uPSA amount and the stage of disease. Loss of expression of PSA appears as a characteristic of prostate cancer development and its evaluation in urine represents an interesting approach for the early detection of the disease and the stratification of patients.
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17
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Chung JW, Kim HT, Ha YS, Lee EH, Chun SY, Lee CH, Byeon KH, Choi SH, Lee JN, Kim BS, Kim TH, Yoo ES, Yoon GS, Baek MC, Kwon TG. Identification of a novel non-invasive biological marker to overcome the shortcomings of PSA in diagnosis and risk stratification for prostate cancer: Initial prospective study of developmental endothelial locus-1 protein. PLoS One 2021; 16:e0250254. [PMID: 33901217 PMCID: PMC8075267 DOI: 10.1371/journal.pone.0250254] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Accepted: 04/01/2021] [Indexed: 12/27/2022] Open
Abstract
Objective This prospective study sought to clarify the developmental endothelial locus-1 (Del-1) protein as values of diagnosis and risk stratification of prostate cancer (PCa). Design From February 2017 to December 2019, a total 458 patients who underwent transrectal ultrasound guided prostate biopsy or surgery of benign prostatic hyperplasia agreed to research of Del-1 protein. We prospectively compared and analyzed the Del-1 protein and prostate specific antigen (PSA) in relation to the patients’ demographic and clinicopathological characteristics. Results Mean age was 68.86±8.55 years. Mean PSA and Del-1 protein was 21.72±89.37, 0.099±0.145, respectively. Two hundred seventy-six (60.3%) patients were diagnosed as PCa. Among them, 181 patients underwent radical prostatectomy (RP). There were significant differences in Del-1 protein between benign and PCa group (0.066±0.131 vs 0.121±0.149, respectively, p<0.001). When we set the cut-off value of del-1 protein as 0.120, in patients with 3≤PSA≤8, positive predictive value and specificity of Del-1 protein (≥0.120) for predicting PCa were 88.9% (56/63) and 93.5% (101/108), respectively. Among 181 patients who underwent RP, there were significant differences in Del-1 protein according to stage (pT2 vs pT3a vs ≥pT3b) (0.113±0.078, 0.171±0.121, 0.227±0.161, respectively, p<0.001) and to Gleason score (6 (3+3) or 7 (3+4) vs 7 (4+3) or 8 (4+4) vs 9 or 10) (0.134±0.103, 0.150±0.109, 0.212±0.178, respectively, P = 0.044). Multivariate analysis showed that PSA, Del-1 protein and high Gleason score (≥9) were the independent prognostic factors for predicting higher pT stage (≥3b). Furthermore, age, PSA and Del-1 protein were independent prognostic factors for predicting significant PCa. Conclusion Patients with PCa showed higher expression of Del-1 protein than benign patients. Del-1 protein increased with the stage and Gleason score of PCa. Collaboration with PSA, Del-1 protein can be a non-invasive useful marker for diagnosis and risk stratification of PCa.
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Affiliation(s)
- Jae-Wook Chung
- Department of Urology, School of Medicine, Kyungpook National University, Daegu, Republic of Korea
| | - Hyun Tae Kim
- Department of Urology, School of Medicine, Kyungpook National University, Daegu, Republic of Korea
| | - Yun-Sok Ha
- Department of Urology, School of Medicine, Kyungpook National University, Daegu, Republic of Korea
| | - Eun Hye Lee
- Biomedical Research Institute, Kyungpook National University, Daegu, Republic of Korea
| | - So Young Chun
- Biomedical Research Institute, Kyungpook National University, Daegu, Republic of Korea
| | - Chan-Hyeong Lee
- Department of Molecular Medicine, Cell and Matrix Research Institute, School of Medicine, Kyungpook National University, Daegu, Korea
| | - Kyeong Hyeon Byeon
- Department of Urology, School of Medicine, Kyungpook National University, Daegu, Republic of Korea
| | - Seock Hwan Choi
- Department of Urology, School of Medicine, Kyungpook National University, Daegu, Republic of Korea
| | - Jun Nyung Lee
- Department of Urology, School of Medicine, Kyungpook National University, Daegu, Republic of Korea
| | - Bum Soo Kim
- Department of Urology, School of Medicine, Kyungpook National University, Daegu, Republic of Korea
| | - Tae-Hwan Kim
- Department of Urology, School of Medicine, Kyungpook National University, Daegu, Republic of Korea
| | - Eun Sang Yoo
- Department of Urology, School of Medicine, Kyungpook National University, Daegu, Republic of Korea
| | - Ghil Suk Yoon
- Department of Pathology, School of Medicine, Kyungpook National University, Daegu, Republic of Korea
| | - Moon-Chang Baek
- Department of Molecular Medicine, Cell and Matrix Research Institute, School of Medicine, Kyungpook National University, Daegu, Korea
- * E-mail: (MCB); (TGK)
| | - Tae Gyun Kwon
- Department of Urology, School of Medicine, Kyungpook National University, Daegu, Republic of Korea
- Joint Institute for Regenerative Medicine, Kyungpook National University, Daegu, Republic of Korea
- * E-mail: (MCB); (TGK)
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18
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Degeling K, Pereira-Salgado A, Corcoran NM, Boutros PC, Kuhn P, IJzerman MJ. Health Economic Evidence for Liquid- and Tissue-based Molecular Tests that Inform Decisions on Prostate Biopsies and Treatment of Localised Prostate Cancer: A Systematic Review. EUR UROL SUPPL 2021; 27:77-87. [PMID: 34337517 PMCID: PMC8317795 DOI: 10.1016/j.euros.2021.03.002] [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] [Accepted: 03/06/2021] [Indexed: 11/16/2022] Open
Abstract
Context Several liquid- and tissue-based biomarker tests (LTBTs) are available to inform the need for prostate biopsies and treatment of localised prostate cancer (PCa) through risk stratification, but translation into routine practice requires evidence of their clinical utility and economic impact. Objective To review and summarise the health economic evidence on the ability of LTBTs to inform decisions on prostate biopsies and treatment of localised PCa through risk stratification. Evidence acquisition A systematic search was performed in the EMBASE, MEDLINE, Health Technology Assessment, and National Health Service Health Economic Evaluation databases. Eligible publications were those presenting health economic evaluations of an LTBT to select individuals for biopsy or risk-stratify PCa patients for treatment. Data on the study objectives, context, methodology, clinical utility, and outcomes were extracted and summarised. Evidence synthesis Of the 22 studies included, 14 were focused on test-informed biopsies and eight on treatment selection. Most studies performed cost-effectiveness analyses (n = 7), followed by costing (n = 4) or budget impact analyses (n = 3). Most (18 of 22) studies concluded that biomarker tests could decrease health care costs or would be cost-effective. However, downstream consequences and long-term outcomes were typically not included in studies that evaluated LTBT to inform biopsies. Long-term effectiveness was modelled by linking evidence from different sources instead of using data from prospective studies. Conclusions Although studies concluded that LTBTs would probably be cost-saving or -effective, the strength of this evidence is disputable because of concerns around the validity and transparency of the assumptions made. This warrants prospective interventional trials to inform health economic analyses to ensure collection of direct evidence of clinical outcomes based on LTBT use. Patient summary We reviewed studies that evaluated whether blood, urine, and tissue tests can reduce the health and economic burden of prostate cancer. Results indicate that these tests could be cost-effective, but clinical studies of long-term outcomes are needed to confirm the findings.
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Affiliation(s)
- Koen Degeling
- Cancer Health Services Research, Centre for Cancer Research, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Australia.,Cancer Health Services Research, Centre for Health Policy, Melbourne School of Population and Global Health, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Australia
| | - Amanda Pereira-Salgado
- Cancer Health Services Research, Centre for Cancer Research, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Australia.,Cancer Health Services Research, Centre for Health Policy, Melbourne School of Population and Global Health, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Australia
| | - Niall M Corcoran
- Department of Urology, Frankston Hospital, Frankston, Australia.,Department of Surgery, The University of Melbourne, Melbourne, Australia.,Division of Urology, Royal Melbourne Hospital, Melbourne, Australia
| | - Paul C Boutros
- Eli and Edythe Broad Center of Regenerative Medicine and Stem Cell Research, University of California, Los Angeles, CA, USA.,Institute for Precision Health, University of California, Los Angeles, Los Angeles, CA, USA.,Jonsson Comprehensive Cancer Centre, University of California, Los Angeles, Los Angeles, CA, USA.,Departments of Human Genetics and Urology, University of California, Los Angeles, Los Angeles, CA, USA.,Department of Medical Biophysics, University of Toronto, Toronto, Canada
| | - Peter Kuhn
- USC Michelson Center for Convergent Biosciences, University of Southern California, Los Angeles, CA, USA.,Department of Biological Sciences, Dornsife College of Letters, Arts, and Sciences, University of Southern California, Los Angeles, CA, USA.,Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Maarten J IJzerman
- Cancer Health Services Research, Centre for Cancer Research, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Australia.,Cancer Health Services Research, Centre for Health Policy, Melbourne School of Population and Global Health, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Australia.,Department of Cancer Research, Peter MacCallum Cancer Centre, Melbourne, Australia.,Health Technology and Services Research, Faculty of Behavioural, Management and Social Sciences, Technical Medical Centre, University of Twente, Enschede, The Netherlands
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19
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Bahmad HF, Jalloul M, Azar J, Moubarak MM, Samad TA, Mukherji D, Al-Sayegh M, Abou-Kheir W. Tumor Microenvironment in Prostate Cancer: Toward Identification of Novel Molecular Biomarkers for Diagnosis, Prognosis, and Therapy Development. Front Genet 2021; 12:652747. [PMID: 33841508 PMCID: PMC8033163 DOI: 10.3389/fgene.2021.652747] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Accepted: 03/08/2021] [Indexed: 12/12/2022] Open
Abstract
Prostate cancer (PCa) is by far the most commonly diagnosed cancer in men worldwide. Despite sensitivity to androgen deprivation, patients with advanced disease eventually develop resistance to therapy and may die of metastatic castration-resistant prostate cancer (mCRPC). A key challenge in the management of PCa is the clinical heterogeneity that is hard to predict using existing biomarkers. Defining molecular biomarkers for PCa that can reliably aid in diagnosis and distinguishing patients who require aggressive therapy from those who should avoid overtreatment is a significant unmet need. Mechanisms underlying the development of PCa are not confined to cancer epithelial cells, but also involve the tumor microenvironment. The crosstalk between epithelial cells and stroma in PCa has been shown to play an integral role in disease progression and metastasis. A number of key markers of reactive stroma has been identified including stem/progenitor cell markers, stromal-derived mediators of inflammation, regulators of angiogenesis, connective tissue growth factors, wingless homologs (Wnts), and integrins. Here, we provide a synopsis of the stromal-epithelial crosstalk in PCa focusing on the relevant molecular biomarkers pertaining to the tumor microenvironment and their role in diagnosis, prognosis, and therapy development.
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Affiliation(s)
- Hisham F Bahmad
- Department of Anatomy, Cell Biology and Physiological Sciences, Faculty of Medicine, American University of Beirut, Beirut, Lebanon.,Arkadi M. Rywlin M.D. Department of Pathology and Laboratory Medicine, Mount Sinai Medical Center, Miami Beach, FL, United States
| | - Mohammad Jalloul
- Department of Anatomy, Cell Biology and Physiological Sciences, Faculty of Medicine, American University of Beirut, Beirut, Lebanon
| | - Joseph Azar
- Department of Anatomy, Cell Biology and Physiological Sciences, Faculty of Medicine, American University of Beirut, Beirut, Lebanon
| | - Maya M Moubarak
- Department of Anatomy, Cell Biology and Physiological Sciences, Faculty of Medicine, American University of Beirut, Beirut, Lebanon
| | - Tamara Abdul Samad
- Department of Anatomy, Cell Biology and Physiological Sciences, Faculty of Medicine, American University of Beirut, Beirut, Lebanon
| | - Deborah Mukherji
- Department of Internal Medicine, Division of Hematology-Oncology, American University of Beirut Medical Center, Beirut, Lebanon
| | - Mohamed Al-Sayegh
- Biology Division, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates
| | - Wassim Abou-Kheir
- Department of Anatomy, Cell Biology and Physiological Sciences, Faculty of Medicine, American University of Beirut, Beirut, Lebanon
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Saoud R, Heidar NA, Cimadamore A, Paner GP. Incorporating Prognostic Biomarkers into Risk Assessment Models and TNM Staging for Prostate Cancer. Cells 2020; 9:E2116. [PMID: 32957584 PMCID: PMC7564222 DOI: 10.3390/cells9092116] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2020] [Revised: 09/06/2020] [Accepted: 09/09/2020] [Indexed: 02/06/2023] Open
Abstract
In current practice, prostate cancer staging alone is not sufficient to adequately assess the patient's prognosis and plan the management strategies. Multiple clinicopathological parameters and risk tools for prostate cancer have been developed over the past decades to better characterize the disease and provide an enhanced assessment of prognosis. Herein, we review novel prognostic biomarkers and their integration into risk assessment models for prostate cancer focusing on their capability to help avoid unnecessary imaging studies, biopsies and diagnosis of low risk prostate cancers, to help in the decision-making process between active surveillance and treatment intervention, and to predict recurrence after radical prostatectomy. There is an imperative need of reliable biomarkers to stratify prostate cancer patients that may benefit from different management approaches. The integration of biomarkers panel with risk assessment models appears to improve prostate cancer diagnosis and management. However, integration of novel genomic biomarkers in future prognostic models requires further validation in their clinical efficacy, standardization, and cost-effectiveness in routine application.
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Affiliation(s)
- Ragheed Saoud
- Department of Surgery (Section of Urology), University of Chicago, Chicago, IL 60637, USA;
| | - Nassib Abou Heidar
- Department of Surgery (Division of Urology), American University of Beirut Medical Center, Beirut 11-0236, Lebanon;
| | - Alessia Cimadamore
- Section of Pathological Anatomy, Polytechnic University of the Marche Region, School of Medicine, 60126 Ancona, Italy;
| | - Gladell P. Paner
- Department of Surgery (Section of Urology), University of Chicago, Chicago, IL 60637, USA;
- Department of Pathology, University of Chicago, Chicago, IL 60637, USA
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