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Schmit S, Malshy K, Ochsner A, Golijanin B, Tucci C, Braunagel T, Golijanin D, Pareek G, Hyams E. Lower urinary tract symptoms in elderly men: Considerations for prostate cancer testing. Prostate 2024. [PMID: 39051612 DOI: 10.1002/pros.24772] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/29/2024] [Revised: 06/24/2024] [Accepted: 07/15/2024] [Indexed: 07/27/2024]
Abstract
PURPOSE Both lower urinary tract symptoms (LUTS) and prostate cancer (PCa) are common in elderly men. While LUTS are generally due to a benign etiology, they may provoke an evaluation with prostate-specific antigen (PSA), which can lead to a cascade of further testing and possible overdiagnosis in patients with competing risks. There is limited patient and provider understanding of the relationship between LUTS and PCa risk, and a lack of clarity in how to evaluate these men to balance appropriate diagnosis of aggressive PCa with avoidance of overdiagnosis. METHODS A literature review was performed using keywords to query the electronic database PubMed. All articles published before November 2023 were screened by title and abstract for articles relevant to our subject. RESULTS Epidemiological studies suggest that LUTS and PCa are largely independent in elderly men. The best available tools to assess PCa risk include PSA permutations, novel biomarkers, and imaging, but there are limitations in older men based on lack of validation in the elderly and unclear applicability of traditional definitions of "clinically significant" disease. We present a three-tiered approach to evaluating these patients. CONCLUSION Elderly men commonly have LUTS as well as a high likelihood of indolent PCa. A systematic and shared decision-making-based approach can help to balance objectives of appropriate detection of phenotypically dangerous disease and avoidance of over-testing and overdiagnosis.
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Affiliation(s)
- Stephen Schmit
- The Minimally Invasive Urology Institute at The Miriam Hospital, Division of Urology, Warren Alpert Medical School of Brown University, Providence, RI, USA, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | - Kamil Malshy
- The Minimally Invasive Urology Institute at The Miriam Hospital, Division of Urology, Warren Alpert Medical School of Brown University, Providence, RI, USA, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | - Anna Ochsner
- The Minimally Invasive Urology Institute at The Miriam Hospital, Division of Urology, Warren Alpert Medical School of Brown University, Providence, RI, USA, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | - Borivoj Golijanin
- The Minimally Invasive Urology Institute at The Miriam Hospital, Division of Urology, Warren Alpert Medical School of Brown University, Providence, RI, USA, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | - Christopher Tucci
- The Minimally Invasive Urology Institute at The Miriam Hospital, Division of Urology, Warren Alpert Medical School of Brown University, Providence, RI, USA, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | - Taylor Braunagel
- The Minimally Invasive Urology Institute at The Miriam Hospital, Division of Urology, Warren Alpert Medical School of Brown University, Providence, RI, USA, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | - Dragan Golijanin
- The Minimally Invasive Urology Institute at The Miriam Hospital, Division of Urology, Warren Alpert Medical School of Brown University, Providence, RI, USA, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | - Gyan Pareek
- The Minimally Invasive Urology Institute at The Miriam Hospital, Division of Urology, Warren Alpert Medical School of Brown University, Providence, RI, USA, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | - Elias Hyams
- The Minimally Invasive Urology Institute at The Miriam Hospital, Division of Urology, Warren Alpert Medical School of Brown University, Providence, RI, USA, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
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Olson P, Wagner J. Established and emerging liquid biomarkers for prostate cancer detection: A review. Urol Oncol 2024:S1078-1439(24)00486-1. [PMID: 38871601 DOI: 10.1016/j.urolonc.2024.05.011] [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: 11/06/2023] [Revised: 03/03/2024] [Accepted: 05/18/2024] [Indexed: 06/15/2024]
Abstract
Prostate cancer remains one of the most frequently diagnosed cancers among men in the world today. Since its introduction in 1987 and FDA approval in 1994, prostate specific antigen (PSA) has reduced prostate cancer specific mortality considerably. However, the positive and negative predictive value of PSA is less than ideal and can lead to the over-detection of clinically insignificant prostate cancer. In the search for better screening measures to identify this cohort, liquid biomarkers for prostate cancer have emerged. In this review we will explore the commonly used urine and blood based prostate cancer liquid biomarkers. We detail the mechanism of each test and the validation studies that underscore their efficacy. Additionally, we will examine each test's effect on shared decision making as well as their cost efficacy in clinical practice.
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Affiliation(s)
- Philip Olson
- Division of Urology, University of Connecticut Health Center, Farmington, CT.
| | - Joseph Wagner
- Urology Division, Hartford Healthcare Medical Group, Hartford Hospital, Hartford, CT
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3
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De Vrieze M, Hübner A, Al-Monajjed R, Albers P, Radtke JP, Schimmöller L, Boschheidgen M. [Prostate cancer screening-current overview]. RADIOLOGIE (HEIDELBERG, GERMANY) 2024; 64:479-487. [PMID: 38743100 DOI: 10.1007/s00117-024-01312-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 04/22/2024] [Indexed: 05/16/2024]
Abstract
BACKGROUND The harm-to-benefit ratio of prostate cancer (PCa) screening remains controversial mainly due to the unfavorable test characteristics of prostate-specific antigen (PSA) as a screening test. METHODS In this nonsystematic review, we present a current overview of the body of evidence on prostate cancer screening with a focus on the role of magnetic resonance imaging (MRI) of the prostate. RESULTS Evidence generated in large randomized controlled trials showed that PSA-based screening significantly decreases cancer-specific mortality. The main obstacle in developing and implementing PCa screening strategies is the resulting overdiagnosis and as a consequence overtreatment of indolent cancers. Opportunistic screening is characterized by an adverse benefit-to-harm ratio and should, therefore, not be recommended. The German Statutory Early Detection Program for prostate cancer, which consists of a digital rectal examination (DRE) as a stand-alone screening test, is not evidence-based, neither specific nor sensitive enough and results in unnecessary diagnostics. The European Commission recently urged member states to develop population-based and organized risk-adapted PSA-based screening programs, which are currently tested in the ongoing German PROBASE trial. Finetuning of the diagnostic pathway following PSA-testing seems key to improve its positive and negative predictive value and thereby making PCa screening more accurate. Incorporation of prostatic MRI into screening strategies leads to more accurate diagnosis of clinically significant prostate cancer, while diagnosis of indolent cancers is reduced. In the future, molecular liquid-based biomarkers have the potential to complement or even replace PSA in PCa screening and further personalize screening strategies. Active surveillance as an alternative to immediate radical therapy of demographically increasing PCa diagnoses can potentially further improve the benefit-to-harm ratio of organized screening. CONCLUSION Early detection of PCa should be organized on a population level into personalized and evidence-based screening strategies. Multiparametric MRI of the prostate may play a key role in this setting.
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Affiliation(s)
- Maxime De Vrieze
- Division of Personalized Early Detection of Prostate Cancer, German Cancer Research Center (DKFZ), Heidelberg, Deutschland
| | - Anne Hübner
- Department of Urology, University Hospital Düsseldorf, Heinrich-Heine-University, Moorenstr. 5, 40225, Düsseldorf, Deutschland
| | - Rouvier Al-Monajjed
- Division of Personalized Early Detection of Prostate Cancer, German Cancer Research Center (DKFZ), Heidelberg, Deutschland.
- Department of Urology, University Hospital Düsseldorf, Heinrich-Heine-University, Moorenstr. 5, 40225, Düsseldorf, Deutschland.
| | - Peter Albers
- Division of Personalized Early Detection of Prostate Cancer, German Cancer Research Center (DKFZ), Heidelberg, Deutschland
- Department of Urology, University Hospital Düsseldorf, Heinrich-Heine-University, Moorenstr. 5, 40225, Düsseldorf, Deutschland
| | - Jan Philipp Radtke
- Department of Urology, University Hospital Düsseldorf, Heinrich-Heine-University, Moorenstr. 5, 40225, Düsseldorf, Deutschland
- Department of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Deutschland
| | - Lars Schimmöller
- University Dusseldorf, Medical Faculty, Department of Diagnostic and Interventional Radiology, 40225, Düsseldorf, Deutschland
- Department of Urology, University Hospital Düsseldorf, Department of Diagnostic, Interventional Radiology and Nuclear Medicine, Marien Hospital Herne, University Hospital of the Ruhr-University Bochum, Herne, Deutschland
| | - Matthias Boschheidgen
- University Dusseldorf, Medical Faculty, Department of Diagnostic and Interventional Radiology, 40225, Düsseldorf, Deutschland
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Björnebo L, Discacciati A, Falagario U, Vigneswaran HT, Jäderling F, Grönberg H, Eklund M, Nordström T, Lantz A. Biomarker vs MRI-Enhanced Strategies for Prostate Cancer Screening: The STHLM3-MRI Randomized Clinical Trial. JAMA Netw Open 2024; 7:e247131. [PMID: 38648061 PMCID: PMC11036143 DOI: 10.1001/jamanetworkopen.2024.7131] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Accepted: 02/20/2024] [Indexed: 04/25/2024] Open
Abstract
Importance Prostate cancer guidelines often recommend obtaining magnetic resonance imaging (MRI) before a biopsy, yet MRI access is limited. To date, no randomized clinical trial has compared the use of novel biomarkers for risk estimation vs MRI-based diagnostic approaches for prostate cancer screening. Objective To evaluate biomarker-based risk estimation (Stockholm3 risk scores or prostate-specific antigen [PSA] levels) with systematic biopsies vs an MRI-enhanced strategy (PSA levels and MRI with systematic and targeted biopsy) for the detection of clinically significant prostate cancer in a screening setting. Design, Setting, and Participants This open-label randomized clinical trial conducted in Stockholm, Sweden, between April 4, 2018, and December 10, 2020, recruited men aged 50 to 74 years with no history of prostate cancer. Participants underwent blood sampling for PSA and Stockholm3 tests to estimate their risk of clinically significant prostate cancer (Gleason score ≥3 + 4). After the blood tests were performed, participants were randomly assigned in a 2:3 ratio to receive a Stockholm3 test with systematic biopsy (biomarker group) or a PSA test followed by MRI with systematic and targeted biopsy (MRI-enhanced group). Data were analyzed from September 1 to November 5, 2023. Interventions In the biomarker group, men with a Stockholm3 risk score of 0.15 or higher underwent systematic biopsies. In the MRI-enhanced group, men with a PSA level of 3 ng/mL or higher had an MRI and those with a Prostate Imaging-Reporting and Data System (PI-RADS) score of 3 or higher (range: 1-5, with higher scores indicating a higher likelihood of clinically significant prostate cancer) underwent targeted and systematic biopsies. Main Outcomes and Measures Primary outcome was detection of clinically significant prostate cancer (Gleason score ≥3 + 4). Secondary outcomes included detection of clinically insignificant cancer (Gleason score ≤6) and the number of biopsy procedures performed. Results Of 12 743 male participants (median [IQR] age, 61 [55-67] years), 5134 were assigned to the biomarker group and 7609 to the MRI-enhanced group. In the biomarker group, 8.0% of men (413) had Stockholm3 risk scores of 0.15 or higher and were referred for systematic biopsies. In the MRI-enhanced group, 12.2% of men (929) had a PSA level of 3 ng/mL or higher and were referred for MRI with biopsies if they had a PI-RADS score of 3 or higher. Detection rates of clinically significant prostate cancer were comparable between the 2 groups: 2.3% in the biomarker group and 2.5% in the MRI-enhanced group (relative proportion, 0.92; 95% CI, 0.73-1.15). More biopsies were performed in the biomarker group than in the MRI-enhanced group (326 of 5134 [6.3%] vs 338 of 7609 [4.4%]; relative proportion, 1.43 [95% CI, 1.23-1.66]), and more indolent prostate cancers were detected (61 [1.2%] vs 41 [0.5%]; relative proportion, 2.21 [95% CI, 1.49-3.27]). Conclusions and Relevance Findings of this randomized clinical trial indicate that combining a Stockholm3 test with systematic biopsies is comparable with MRI-based screening with PSA levels and systematic and targeted biopsies for detection of clinically significant prostate cancer, but this approach resulted in more biopsies as well as detection of a greater number of indolent cancers. In regions where access to MRI is lacking, the Stockholm3 test can aid in selecting patients for systematic prostate biopsy. Trial Registration ClinicalTrials.gov Identifier: NCT03377881.
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Affiliation(s)
- Lars Björnebo
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Andrea Discacciati
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Ugo Falagario
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Department of Urology and Kidney Transplantation, University of Foggia, Foggia, Italy
| | - Hari T. Vigneswaran
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Fredrik Jäderling
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Department of Diagnostic Radiology, Karolinska Institutet, Stockholm, Sweden
| | - Henrik Grönberg
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Martin Eklund
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Tobias Nordström
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Clinical Sciences, Danderyd Hospital, Danderyd, Sweden
| | - Anna Lantz
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
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Sequeira JP, Salta S, Freitas R, López-López R, Díaz-Lagares Á, Henrique R, Jerónimo C. Biomarkers for Pre-Treatment Risk Stratification of Prostate Cancer Patients: A Systematic Review. Cancers (Basel) 2024; 16:1363. [PMID: 38611041 PMCID: PMC11011064 DOI: 10.3390/cancers16071363] [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: 02/28/2024] [Revised: 03/24/2024] [Accepted: 03/28/2024] [Indexed: 04/14/2024] Open
Abstract
BACKGROUND Prostate cancer (PCa) is one of the most frequently occurring malignancies. Although most cases are not life-threatening, approximately 20% endure an unfavorable outcome. PSA-based screening reduced mortality but at the cost of an increased overdiagnosis/overtreatment of low-risk (lrPCa) and favorable intermediate-risk (firPCa) PCa. PCa risk-groups are usually identified based on serum Prostate-Specific Antigen (PSA), the Gleason score, and clinical T stage, which have consistent although variable specificity or subjectivity. Thus, more effective and specific tools for risk assessment are needed, ideally making use of minimally invasive methods such as liquid biopsies. In this systematic review we assessed the clinical potential and analytical performance of liquid biopsy-based biomarkers for pre-treatment risk stratification of PCa patients. METHODS Studies that assessed PCa pre-treatment risk were retrieved from PubMed, Scopus, and MedLine. PCa risk biomarkers were analyzed, and the studies' quality was assessed using the QUADAS-2 tool. RESULTS The final analysis comprised 24 full-text articles, in which case-control studies predominated, mostly reporting urine-based biomarkers (54.2%) and biomarker quantification by qPCR (41.7%). Categorization into risk groups was heterogeneous, predominantly making use of the Gleason score. CONCLUSION This systematic review unveils the substantial clinical promise of using circulating biomarkers in assessing the risk for prostate cancer patients. However, the standardization of groups, categories, and biomarker validation are mandatory before this technique can be implemented. Circulating biomarkers might represent a viable alternative to currently available tools, obviating the need for tissue biopsies, and allowing for faster and more cost-effective testing, with superior analytical performance, specificity, and reproducibility.
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Affiliation(s)
- José Pedro Sequeira
- Cancer Biology & Epigenetics Group, Research Center of IPO Porto (CI-IPOP)/CI-IPOP @RISE (Health Research Network), Portuguese Oncology Institute of Porto (IPO Porto)/Porto Comprehensive Cancer Center Raquel Seruca (Porto.CCC Raquel Seruca), R. Dr. António Bernardino de Almeida, 4200-072 Porto, Portugal; (J.P.S.); (S.S.); (R.F.); (R.H.)
- Epigenomics Unit, Cancer Epigenomics, Translational Medical Oncology Group (ONCOMET), Health Research Institute of Santiago de Compostela (IDIS), University Clinical Hospital of Santiago (CHUS/SERGAS), 15706 Santiago de Compostela, Spain; (R.L.-L.); (Á.D.-L.)
- Doctoral Program in Biomedical Sciences, ICBAS-School of Medicine & Biomedical Sciences, University of Porto (ICBAS-UP), Rua Jorge Viterbo Ferreira 228, 4050-513 Porto, Portugal
| | - Sofia Salta
- Cancer Biology & Epigenetics Group, Research Center of IPO Porto (CI-IPOP)/CI-IPOP @RISE (Health Research Network), Portuguese Oncology Institute of Porto (IPO Porto)/Porto Comprehensive Cancer Center Raquel Seruca (Porto.CCC Raquel Seruca), R. Dr. António Bernardino de Almeida, 4200-072 Porto, Portugal; (J.P.S.); (S.S.); (R.F.); (R.H.)
- Doctoral Program in Pathology and Molecular Genetics, ICBAS-School of Medicine & Biomedical Sciences, University of Porto (ICBAS-UP), Rua Jorge Viterbo Ferreira 228, 4050-513 Porto, Portugal
| | - Rui Freitas
- Cancer Biology & Epigenetics Group, Research Center of IPO Porto (CI-IPOP)/CI-IPOP @RISE (Health Research Network), Portuguese Oncology Institute of Porto (IPO Porto)/Porto Comprehensive Cancer Center Raquel Seruca (Porto.CCC Raquel Seruca), R. Dr. António Bernardino de Almeida, 4200-072 Porto, Portugal; (J.P.S.); (S.S.); (R.F.); (R.H.)
- Department of Urology & Urology Clinic, Portuguese Oncology Institute of Porto (IPO Porto)/Porto Comprehensive Cancer Center Raquel Seruca (Porto.CCC), R. Dr. António Bernardino de Almeida, 4200-072 Porto, Portugal
| | - Rafael López-López
- Epigenomics Unit, Cancer Epigenomics, Translational Medical Oncology Group (ONCOMET), Health Research Institute of Santiago de Compostela (IDIS), University Clinical Hospital of Santiago (CHUS/SERGAS), 15706 Santiago de Compostela, Spain; (R.L.-L.); (Á.D.-L.)
- Roche-Chus Joint Unit, Translational Medical Oncology Group (ONCOMET), Health Research Institute of Santiago (IDIS), 15706 Santiago de Compostela, Spain
- Centro de Investigación Biomédica en Red Cáncer (CIBERONC), ISCIII, 28029 Madrid, Spain
| | - Ángel Díaz-Lagares
- Epigenomics Unit, Cancer Epigenomics, Translational Medical Oncology Group (ONCOMET), Health Research Institute of Santiago de Compostela (IDIS), University Clinical Hospital of Santiago (CHUS/SERGAS), 15706 Santiago de Compostela, Spain; (R.L.-L.); (Á.D.-L.)
- Centro de Investigación Biomédica en Red Cáncer (CIBERONC), ISCIII, 28029 Madrid, Spain
- Department of Clinical Analysis, University Hospital Complex of Santiago de Compostela (CHUS), 15706 Santiago de Compostela, Spain
| | - Rui Henrique
- Cancer Biology & Epigenetics Group, Research Center of IPO Porto (CI-IPOP)/CI-IPOP @RISE (Health Research Network), Portuguese Oncology Institute of Porto (IPO Porto)/Porto Comprehensive Cancer Center Raquel Seruca (Porto.CCC Raquel Seruca), R. Dr. António Bernardino de Almeida, 4200-072 Porto, Portugal; (J.P.S.); (S.S.); (R.F.); (R.H.)
- Department of Pathology, Portuguese Oncology Institute of Porto (IPO Porto)/Porto Comprehensive Cancer Center Raquel Seruca (Porto.CCC), R. Dr. António Bernardino de Almeida, 4200-072 Porto, Portugal
- Department of Pathology and Molecular Immunology, ICBAS-School of Medicine & Biomedical Sciences, University of Porto (ICBAS-UP), Rua Jorge Viterbo Ferreira 228, 4050-513 Porto, Portugal
| | - Carmen Jerónimo
- Cancer Biology & Epigenetics Group, Research Center of IPO Porto (CI-IPOP)/CI-IPOP @RISE (Health Research Network), Portuguese Oncology Institute of Porto (IPO Porto)/Porto Comprehensive Cancer Center Raquel Seruca (Porto.CCC Raquel Seruca), R. Dr. António Bernardino de Almeida, 4200-072 Porto, Portugal; (J.P.S.); (S.S.); (R.F.); (R.H.)
- Department of Pathology, Portuguese Oncology Institute of Porto (IPO Porto)/Porto Comprehensive Cancer Center Raquel Seruca (Porto.CCC), R. Dr. António Bernardino de Almeida, 4200-072 Porto, Portugal
- Department of Pathology and Molecular Immunology, ICBAS-School of Medicine & Biomedical Sciences, University of Porto (ICBAS-UP), Rua Jorge Viterbo Ferreira 228, 4050-513 Porto, Portugal
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Heers H, Chwilka O, Huber J, Vogelmeier C, Koczulla AR, Baumbach JI, Boeselt T. VOC-based detection of prostate cancer using an electronic nose and ion mobility spectrometry: A novel urine-based approach. Prostate 2024. [PMID: 38497426 DOI: 10.1002/pros.24692] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Accepted: 03/07/2024] [Indexed: 03/19/2024]
Abstract
BACKGROUND Many diseases leave behind specific metabolites which can be detected from breath and urine as volatile organic compounds (VOC). Our group previously described VOC-based methods for the detection of bladder cancer and urinary tract infections. This study investigated whether prostate cancer can be diagnosed from VOCs in urine headspace. METHODS For this pilot study, mid-stream urine samples were collected from 56 patients with histologically confirmed prostate cancer. A control group was formed with 53 healthy male volunteers matched for age who had recently undergone a negative screening by prostate-specific antigen (PSA) and digital rectal exam. Headspace measurements were performed with the electronic nose Cyranose 320TM . Statistical comparison was performed using principal component analysis, calculating Mahalanobis distance, and linear discriminant analysis. Further measurements were carried out with ion mobility spectrometry (IMS) to compare detection accuracy and to identify potential individual analytes. Bonferroni correction was applied for multiple testing. RESULTS The electronic nose yielded a sensitivity of 77% and specificity of 62%. Mahalanobis distance was 0.964, which is indicative of limited group separation. IMS identified a total of 38 individual analytical peaks, two of which showed significant differences between groups (p < 0.05). To discriminate between tumor and controls, a decision tree with nine steps was generated. This model led to a sensitivity of 98% and specificity of 100%. CONCLUSIONS VOC-based detection of prostate cancer seems feasible in principle. While the first results with an electronic nose show some limitations, the approach can compete with other urine-based marker systems. However, it seems less reliable than PSA testing. IMS is more accurate than the electronic nose with promising sensitivity and specificity, which warrants further research. The individual relevant metabolites identified by IMS should further be characterized using gas chromatography/mass spectrometry to facilitate potential targeted rapid testing.
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Affiliation(s)
- Hendrik Heers
- Department of Urology, Philipps-Universität Marburg, Marburg, Germany
| | - Oliver Chwilka
- Department of Urology, Philipps-Universität Marburg, Marburg, Germany
| | - Johannes Huber
- Department of Urology, Philipps-Universität Marburg, Marburg, Germany
| | - Claus Vogelmeier
- Department of Medicine, Pulmonary and Critical Care Medicine, Philipps-Universität Marburg, Marburg, Germany
| | - Andreas Rembert Koczulla
- Department of Medicine, Pulmonary and Critical Care Medicine, Philipps-Universität Marburg, Marburg, Germany
- Department of Pulmonology, Schoen-Kliniken, Berchtesgaden, Germany
| | - Jörg Ingo Baumbach
- Department of Biochemical and Chemical Engineering, Technical University of Dortmund, Dortmund, Germany
| | - Tobias Boeselt
- Department of Medicine, Pulmonary and Critical Care Medicine, Philipps-Universität Marburg, Marburg, Germany
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7
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Wu H, Wu Y, He P, Liang J, Xu X, Ji C. A meta-analysis for the diagnostic accuracy of SelectMDx in prostate cancer. PLoS One 2024; 19:e0285745. [PMID: 38329970 PMCID: PMC10852267 DOI: 10.1371/journal.pone.0285745] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2022] [Accepted: 05/02/2023] [Indexed: 02/10/2024] Open
Abstract
To overview the diagnostic accuracy of SelectMDx for the detection of clinically significant prostate cancer and to review sources of methodologic variability. Four electronic databases, including PubMed, Embase, Web of Science, and Cochrane Library were searched for eligible studies investigating the diagnostic value of SelectMDx compared with the gold standard. The pooled sensitivity, specificity, and positive and negative predictive values were calculated. Included studies were assessed according to the Standards for Quality Assessment of Diagnostic Accuracy Studies 2 tool. The review identified 14 relevant publications with 2579 patients. All reports constituted phase 1 biomarker studies. Pooled analysis of findings found an area under the receiver operating characteristic analysis curve of 70% [95% CI, 66%-74%], a sensitivity of 81% [95% CI, 69%-89%], and a specificity of 52% [95% CI, 41%-63%]. The positive likelihood ratio was 1.68, and the negative predictive value is 0.37. Factors that may influence variability in test results included the breath collection method, the patient's physiologic condition, the test environment, and the method of analysis. Considerable heterogeneity was observed among the studies owing to the difference in the sample size. SelectMDx appears to have moderate to good diagnostic accuracy in differentiating patients with clinically significant prostate cancer from people at high risk of developing prostate cancer. Higher-quality clinical studies assessing the diagnostic accuracy of SelectMDx for clinically significant cancer are still needed.
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Affiliation(s)
- Hanting Wu
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, China
| | - Yanling Wu
- Institute of Medicine, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden
| | - Peijie He
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, China
| | - Juan Liang
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, China
| | - Xiujuan Xu
- Tongde Hospital of Zhejiang Province, Hangzhou, China
| | - Conghua Ji
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, China
- The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China
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8
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Weng M, Lai Y, Ge X, Gu W, Zhang X, Li L, Sun M. HOXC6: A promising biomarker linked to an immunoevasive microenvironment in colorectal cancer based on TCGA analysis and cohort validation. Heliyon 2024; 10:e23500. [PMID: 38192826 PMCID: PMC10772581 DOI: 10.1016/j.heliyon.2023.e23500] [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: 04/26/2023] [Revised: 10/22/2023] [Accepted: 12/05/2023] [Indexed: 01/10/2024] Open
Abstract
HOXC6 plays an essential part of the carcinogenesis of solid tumors, but its functional relevance within the immune contexture in patients with colorectal cancer (CRC) is still uncertain. We intended to investigate the predictive value of HOXC6 expression for survival outcomes and its correlation with immune contexture in CRC patients by utilizing the Cancer Genome Atlas database (n = 619). Validation was performed in cohorts from Zhongshan Hospital (n = 200) and Shanghai Cancer Center (n = 300). Immunohistochemical (IHC) staining was utilized to compare the levels of immunocytes infiltrating the tumor between the groups with high and low expression of HOXC6. Elevated levels of HOXC6 expression in CRC tissues were linked to malignant progression and poor prognosis. HOXC6 as a risk factor for survival of CRC patients was confirmed. Receiver operating characteristic analysis confirmed its diagnostic value, and a reliable prognostic nomogram was constructed. KEGG analysis and GSEA showed that HOXC6 participated in immune regulation, and its expression was tightly linked to the abundance of infiltrating immunocytes. HOXC6 was upregulated in patients diagnosed with CRC within the two cohorts, and high HOXC6 levels were correlated with a worse prognosis. The high-HOXC6 expression group showed increased infiltration of Treg cells, CD68+ macrophages, CD66b+ neutrophils, and CD8+ T-cells and elevated levels of PD-L1 and PD-1, but decreased levels of granzyme B and perforin. These findings suggest that HOXC6 abundance in patients with CRC determines a poor prognosis, promotes an immunoevasive environment, and directs CD8+ T-cell dysfunction. HOXC6 is expected to become a prospective biomarker for the outcome of CRC.
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Affiliation(s)
- Meilin Weng
- Department of Anesthesiology, Zhongshan hospital, Fudan University, Shanghai, 200032, China
- Shanghai Key Laboratory of Perioperative Stress and Protection, Zhongshan hospital, Fudan University, Shanghai, 200032, China
| | - Yuling Lai
- Department of Anesthesiology, Zhongshan hospital, Fudan University, Shanghai, 200032, China
- Shanghai Key Laboratory of Perioperative Stress and Protection, Zhongshan hospital, Fudan University, Shanghai, 200032, China
| | - Xiaodong Ge
- Department of Anesthesiology, Zhongshan hospital, Fudan University, Shanghai, 200032, China
- Shanghai Key Laboratory of Perioperative Stress and Protection, Zhongshan hospital, Fudan University, Shanghai, 200032, China
| | - Wenchao Gu
- Department of Diagnostic and Interventional Radiology, University of Tsukuba, Faculty of medicine, Ibaraki, Tsukuba, Japan
| | - Xixue Zhang
- Department of Anesthesiology, Huadong Hospital Affiliated to Fudan University, No 221, West Yan'an Road, Shanghai 200040, China
| | - Lihong Li
- Department of Anesthesiology, Shanghai Cancer Center, Fudan University, Shanghai, 200032, China
| | - Minli Sun
- Department of Anesthesiology, Zhongshan hospital, Fudan University, Shanghai, 200032, China
- Shanghai Key Laboratory of Perioperative Stress and Protection, Zhongshan hospital, Fudan University, Shanghai, 200032, China
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9
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Baston C, Preda A, Iordache A, Olaru V, Surcel C, Sinescu I, Gingu C. How to Integrate Prostate Cancer Biomarkers in Urology Clinical Practice: An Update. Cancers (Basel) 2024; 16:316. [PMID: 38254807 PMCID: PMC10813985 DOI: 10.3390/cancers16020316] [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: 12/13/2023] [Revised: 01/04/2024] [Accepted: 01/07/2024] [Indexed: 01/24/2024] Open
Abstract
Nowadays, the management of prostate cancer has become more and more challenging due to the increasing number of available treatment options, therapeutic agents, and our understanding of its carcinogenesis and disease progression. Moreover, currently available risk stratification systems used to facilitate clinical decision-making have limitations, particularly in providing a personalized and patient-centered management strategy. Although prognosis and prostate cancer-specific survival have improved in recent years, the heterogenous behavior of the disease among patients included in the same risk prognostic group negatively impacts not only our clinical decision-making but also oncological outcomes, irrespective of the treatment strategy. Several biomarkers, along with available tests, have been developed to help clinicians in difficult decision-making scenarios and guide management strategies. In this review article, we focus on the scientific evidence that supports the clinical use of several biomarkers considered by professional urological societies (and included in uro-oncological guidelines) in the diagnosis process and specific difficult management strategies for clinically localized or advanced prostate cancer.
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Affiliation(s)
- Catalin Baston
- Department of Nephrology, Urology, Immunology and Immunology of Transplant, Dermatology, Allergology, Faculty of Medicine, “Carol Davila” University of Medicine and Pharmacy, 050474 Bucharest, Romania; (C.B.); (V.O.); (C.S.); (I.S.); (C.G.)
- Center of Uronephrology and Kidney Transplantation, Fundeni Clinical Institute, 258 Fundeni Street, 022328 Bucharest, Romania;
| | - Adrian Preda
- Center of Uronephrology and Kidney Transplantation, Fundeni Clinical Institute, 258 Fundeni Street, 022328 Bucharest, Romania;
| | - Alexandru Iordache
- Center of Uronephrology and Kidney Transplantation, Fundeni Clinical Institute, 258 Fundeni Street, 022328 Bucharest, Romania;
| | - Vlad Olaru
- Department of Nephrology, Urology, Immunology and Immunology of Transplant, Dermatology, Allergology, Faculty of Medicine, “Carol Davila” University of Medicine and Pharmacy, 050474 Bucharest, Romania; (C.B.); (V.O.); (C.S.); (I.S.); (C.G.)
- Center of Uronephrology and Kidney Transplantation, Fundeni Clinical Institute, 258 Fundeni Street, 022328 Bucharest, Romania;
| | - Cristian Surcel
- Department of Nephrology, Urology, Immunology and Immunology of Transplant, Dermatology, Allergology, Faculty of Medicine, “Carol Davila” University of Medicine and Pharmacy, 050474 Bucharest, Romania; (C.B.); (V.O.); (C.S.); (I.S.); (C.G.)
- Center of Uronephrology and Kidney Transplantation, Fundeni Clinical Institute, 258 Fundeni Street, 022328 Bucharest, Romania;
| | - Ioanel Sinescu
- Department of Nephrology, Urology, Immunology and Immunology of Transplant, Dermatology, Allergology, Faculty of Medicine, “Carol Davila” University of Medicine and Pharmacy, 050474 Bucharest, Romania; (C.B.); (V.O.); (C.S.); (I.S.); (C.G.)
- Center of Uronephrology and Kidney Transplantation, Fundeni Clinical Institute, 258 Fundeni Street, 022328 Bucharest, Romania;
| | - Constantin Gingu
- Department of Nephrology, Urology, Immunology and Immunology of Transplant, Dermatology, Allergology, Faculty of Medicine, “Carol Davila” University of Medicine and Pharmacy, 050474 Bucharest, Romania; (C.B.); (V.O.); (C.S.); (I.S.); (C.G.)
- Center of Uronephrology and Kidney Transplantation, Fundeni Clinical Institute, 258 Fundeni Street, 022328 Bucharest, Romania;
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10
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Borbiev T, Kohaar I, Petrovics G. Clinical Biofluid Assays for Prostate Cancer. Cancers (Basel) 2023; 16:165. [PMID: 38201592 PMCID: PMC10777952 DOI: 10.3390/cancers16010165] [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: 11/15/2023] [Revised: 12/11/2023] [Accepted: 12/25/2023] [Indexed: 01/12/2024] Open
Abstract
This mini review summarizes the currently available clinical biofluid assays for PCa. The second most prevalent cancer worldwide is PCa. PCa is a heterogeneous disease, with a large percentage of prostate tumors being indolent, and with a relatively slow metastatic potential. However, due to the high case numbers, the absolute number of PCa-related deaths is still high. In fact, it causes the second highest number of cancer deaths in American men. As a first step for the diagnosis of PCa, the PSA test has been widely used. However, it has low specificity, which results in a high number of false positives leading to overdiagnosis and overtreatment. Newer derivatives of the original PSA test, including the Food and Drug Administration (FDA)-approved 4K (four kallikreins) and the PHI (Prostate Health Index) blood tests, have higher specificities. Tissue-based PCa tests are problematic as biopsies are invasive and have limited accuracy due to prostate tumor heterogeneity. Liquid biopsies offer a minimally or non-invasive choice for the patients, while providing a more representative reflection of the spatial heterogeneity in the prostate. In addition to the abovementioned blood-based tests, urine is a promising source of PCa biomarkers, offering a supplementary avenue for early detection and improved tumor classification. Four urine-based PCa tests are either FDA- or CLIA-approved: PCA3 (PROGENSA), ExoDX Prostate Intelliscore, MiPS, and SelectMDx. We will discuss these urine-based, as well as the blood-based, clinical PCa tests in more detail. We also briefly discuss a few promising biofluid marker candidates (DNA methylation, micro-RNAs) which are not in clinical application. As no single assay is perfect, we envision that a combination of biomarkers, together with imaging, will become the preferred practice.
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Affiliation(s)
- Talaibek Borbiev
- Center for Prostate Disease Research, Murtha Cancer Center Research Program, Department of Surgery, Uniformed Services University of the Health Sciences, Bethesda, MD 20817, USA; (T.B.); (I.K.)
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD 20817, USA
| | - Indu Kohaar
- Center for Prostate Disease Research, Murtha Cancer Center Research Program, Department of Surgery, Uniformed Services University of the Health Sciences, Bethesda, MD 20817, USA; (T.B.); (I.K.)
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD 20817, USA
- Division of Cancer Prevention, National Cancer Institute, National Institutes of Health, Rockville, MD 20850, USA
| | - Gyorgy Petrovics
- Center for Prostate Disease Research, Murtha Cancer Center Research Program, Department of Surgery, Uniformed Services University of the Health Sciences, Bethesda, MD 20817, USA; (T.B.); (I.K.)
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD 20817, USA
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11
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Lotan Y, Barocas DA, Chang SS, Daneshmand S, Konety B, Meeks JJ, Porten S, Raman JD, Rosser CJ, Scarpato KR, Sexton WJ, Sfakianos JP, Shore ND, Svatek RS. Commentary on Novitas LCD. Bladder Cancer 2023; 9:305-312. [PMID: 38994243 PMCID: PMC11165914 DOI: 10.3233/blc-230057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2023] [Accepted: 09/08/2023] [Indexed: 07/13/2024]
Affiliation(s)
- Yair Lotan
- University of Texas Southwestern, Dallas, TX, USA
| | - Daniel A Barocas
- Department of Urology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Sam S Chang
- Department of Urology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Siamak Daneshmand
- Department of Urology, USC/Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA
| | - Badrinath Konety
- Allina Health Cancer Institute, Minneapolis, MN, USA and University of Minnesota, Minneapolis, MN, USA
| | - Joshua J Meeks
- Department of Urology and Biochemistry, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Sima Porten
- Department of Urology, University of San Francisco, San Fransisco, CA, USA
| | - Jay D Raman
- Department of Urology, Penn State Health Milton S. Hershey Medical Center, Hershey, PA, USA
| | - Charles J Rosser
- Samuel Oschin Cancer Center, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Kristen R Scarpato
- Department of Urology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Wade J Sexton
- Department of Genitourinary Oncology, Moffitt Cancer Center, Tampa, FL, USA
| | - John P Sfakianos
- Department of Urology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Neal D Shore
- Carolina Urologic Research Center, Myrtle Beach, SC, USA
| | - Robert S Svatek
- Department of Urology, UT Health San Antonio, San Antonio, TX, USA
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12
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Matulevičius A, Žukauskaitė K, Gineikaitė R, Dasevičius D, Trakymas M, Naruševičiūtė I, Ušinskienė J, Ulys A, Jankevičius F, Jarmalaitė S. Combination of DNA methylation biomarkers with multiparametric magnetic resonance and ultrasound imaging fusion biopsy to detect the local spread of prostate cancer. Prostate 2023; 83:1572-1583. [PMID: 37614027 DOI: 10.1002/pros.24615] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/16/2023] [Revised: 07/04/2023] [Accepted: 08/12/2023] [Indexed: 08/25/2023]
Abstract
BACKGROUND This study aimed to investigate the extent of field cancerization adjacent to index lesions in prostate cancer (PCa) by measuring DNA methylation of selected tumor suppressor genes in the perifocal tissue of PCa not visible on multiparametric magnetic resonanse imaging (mpMRI) for the safe zone of focal therapy identification. METHODS A total of 272 patients were enrolled in this study, 44 patients' tissue biosamples were included in the field cancerization research, and 272 urine samples were included in the urine-based test development. Targeted biopsies were performed using the mpMRI/ultrasoundimage fusion system. RESULTS Quantitative analysis revealed significantly higher DNA methylation levels of RARB, RASSF1, GSTP1 & APC genes in the index lesion compared with perifocal tissue samples 10 mm away from it (p < 0.0001). Notably, the RARB, GSTP1 & APC and RARB, RASSF1, GSTP1 & APC biomarker combinations exhibited the highest sensitivity and specificity comparing the extent of DNA methylation in index lesions and noncancerous prostate tissues 20 mm away (both area under the curve [AUC] = 0.98; p < 0.0001). The analysis of the potential urinary biomarkers showed that the combination of all four DNA methylation biomarkers with prostate-specific antigen (PSA) or PSA density (PSAD) in the blood significantly improves the detection of clinically significant PCa (csPCa). The combination of the four-biomarker test with PSAD allowed the identification of csPCa with ≥90% sensitivity and specificity. CONCLUSION Thus, this study suggests that for focal therapy by region target hemi-ablation, the safe distance from the index lesion is no less than 10 mm. Noninvasive urine DNA methylation tests in combination with PSAD could be used for further follow-up of the patients, but larger prospective studies with external validation are needed.
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Affiliation(s)
- Augustinas Matulevičius
- Institute of Biosciences, Life Sciences Center, Vilnius University, Vilnius, Lithuania
- National Cancer Institute, Vilnius, Lithuania
- Vilnius University Hospital Santaros Klinikos, Vilnius, Lithuania
| | - Kristina Žukauskaitė
- Institute of Biosciences, Life Sciences Center, Vilnius University, Vilnius, Lithuania
- National Cancer Institute, Vilnius, Lithuania
| | | | - Darius Dasevičius
- National Centre of Pathology, Affiliate of Vilnius University Hospital Santaros Klinikos, Vilnius, Lithuania
| | | | | | | | | | - Feliksas Jankevičius
- Vilnius University Hospital Santaros Klinikos, Vilnius, Lithuania
- Faculty of Medicine, Vilnius University, Vilnius, Lithuania
| | - Sonata Jarmalaitė
- Institute of Biosciences, Life Sciences Center, Vilnius University, Vilnius, Lithuania
- National Cancer Institute, Vilnius, Lithuania
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13
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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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14
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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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15
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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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16
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Huang HP, Chen CH, Chang KH, Lee MS, Lee CF, Chao YH, Lu SY, Wu TF, Liang ST, Lin CY, Lin YC, Liu SP, Lu YC, Shun CT, Huang WJ, Lin TP, Ku MH, Chung HJ, Chang YH, Liao CH, Yu CC, Chung SD, Tsai YC, Wu CC, Chen KC, Ho CH, Hsiao PW, Pu YS. Prediction of clinically significant prostate cancer through urine metabolomic signatures: A large-scale validated study. J Transl Med 2023; 21:714. [PMID: 37821919 PMCID: PMC10566053 DOI: 10.1186/s12967-023-04424-9] [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: 04/27/2023] [Accepted: 08/07/2023] [Indexed: 10/13/2023] Open
Abstract
PURPOSE Currently, there are no accurate markers for predicting potentially lethal prostate cancer (PC) before biopsy. This study aimed to develop urine tests to predict clinically significant PC (sPC) in men at risk. METHODS Urine samples from 928 men, namely, 660 PC patients and 268 benign subjects, were analyzed by gas chromatography/quadrupole time-of-flight mass spectrophotometry (GC/Q-TOF MS) metabolomic profiling to construct four predictive models. Model I discriminated between PC and benign cases. Models II, III, and GS, respectively, predicted sPC in those classified as having favorable intermediate risk or higher, unfavorable intermediate risk or higher (according to the National Comprehensive Cancer Network risk groupings), and a Gleason sum (GS) of ≥ 7. Multivariable logistic regression was used to evaluate the area under the receiver operating characteristic curves (AUC). RESULTS In Models I, II, III, and GS, the best AUCs (0.94, 0.85, 0.82, and 0.80, respectively; training cohort, N = 603) involved 26, 24, 26, and 22 metabolites, respectively. The addition of five clinical risk factors (serum prostate-specific antigen, patient age, previous negative biopsy, digital rectal examination, and family history) significantly improved the AUCs of the models (0.95, 0.92, 0.92, and 0.87, respectively). At 90% sensitivity, 48%, 47%, 50%, and 36% of unnecessary biopsies could be avoided. These models were successfully validated against an independent validation cohort (N = 325). Decision curve analysis showed a significant clinical net benefit with each combined model at low threshold probabilities. Models II and III were more robust and clinically relevant than Model GS. CONCLUSION This urine test, which combines urine metabolic markers and clinical factors, may be used to predict sPC and thereby inform the necessity of biopsy in men with an elevated PC risk.
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Affiliation(s)
- Hsiang-Po Huang
- Graduate Institute of Medical Genomics and Proteomics, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Chung-Hsin Chen
- Department of Urology, National Taiwan University College of Medicine and Hospital, 7 Zhongshan South Road, Taipei, 100225, Taiwan, Republic of China
| | - Kai-Hsiung Chang
- Institute of Cellular and System Medicine, National Health Research Institutes, Miaoli, Taiwan
| | - Ming-Shyue Lee
- Department of Biochemistry and Molecular Biology, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Cheng-Fan Lee
- Department of Biochemistry and Molecular Biology, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Yen-Hsiang Chao
- Department of Urology, National Taiwan University College of Medicine and Hospital, 7 Zhongshan South Road, Taipei, 100225, Taiwan, Republic of China
| | - Shih-Yu Lu
- Department of Urology, National Taiwan University College of Medicine and Hospital, 7 Zhongshan South Road, Taipei, 100225, Taiwan, Republic of China
| | - Tzu-Fan Wu
- Department of Urology, National Taiwan University College of Medicine and Hospital, 7 Zhongshan South Road, Taipei, 100225, Taiwan, Republic of China
| | - Sung-Tzu Liang
- Department of Urology, National Taiwan University College of Medicine and Hospital, 7 Zhongshan South Road, Taipei, 100225, Taiwan, Republic of China
| | - Chih-Yu Lin
- Agricultural Biotechnology Research Center, Academia Sinica, No. 128, Sec. 2, Academia Road, Nankang, Taipei, 11529, Taiwan
| | - Yuan Chi Lin
- Department of Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Shih-Ping Liu
- Department of Urology, National Taiwan University College of Medicine and Hospital, 7 Zhongshan South Road, Taipei, 100225, Taiwan, Republic of China
| | - Yu-Chuan Lu
- Department of Urology, National Taiwan University College of Medicine and Hospital, 7 Zhongshan South Road, Taipei, 100225, Taiwan, Republic of China
- Department of Surgical Oncology, National Taiwan University Cancer Center, Taipei, Taiwan
| | - Chia-Tung Shun
- Department of Pathology, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - William J Huang
- Department of Urology, Taipei Veterans General Hospital, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Tzu-Ping Lin
- Department of Urology, Taipei Veterans General Hospital, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Ming-Hsuan Ku
- Department of Urology, Taipei Veterans General Hospital, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Hsiao-Jen Chung
- Department of Urology, Taipei Veterans General Hospital, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Yen-Hwa Chang
- Department of Urology, Taipei Veterans General Hospital, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Chun-Hou Liao
- Division of Urology, Department of Surgery, Cardinal Tien Hospital, New Taipei City, Taiwan
- School of Medicine, College of Medicine, Fu-Jen Catholic University, New Taipei City, Taiwan
| | - Chih-Chin Yu
- Division of Urology, Department of Surgery, Taipei Tzu Chi Hospital, and the Buddhist Tzu Chi Medical Foundation, College of Medicine, Tzu Chi University, Hualien, Taiwan
| | - Shiu-Dong Chung
- Division of Urology, Department of Surgery, Far Eastern Memorial Hospital, and Department of Nursing, College of Healthcare & Management, Asia Eastern University of Science and Technology, New Taipei City, Taiwan
| | - Yao-Chou Tsai
- Department of Medicine & Division of Urology, Taipei Tzu Chi Hospital, New Taipei City, Taiwan
| | - Chia-Chang Wu
- Department of Urology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
- Department of Urology, Shuang-Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
- TMU Research Center of Urology and Kidney, Taipei Medical University, Taipei, Taiwan
| | - Kuan-Chou Chen
- Department of Urology, Shuang-Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
- TMU Research Center of Urology and Kidney, Taipei Medical University, Taipei, Taiwan
- Graduate Institute of Clinical Medicine, Taipei Medical University, Taipei, Taiwan
| | - Chen-Hsun Ho
- School of Medicine, College of Medicine, Fu-Jen Catholic University, New Taipei City, Taiwan
- Division of Urology, Department of Surgery, Shin Kong Wu Ho-Su Memorial Hospital, Taipei, Taiwan
| | - Pei-Wen Hsiao
- Agricultural Biotechnology Research Center, Academia Sinica, No. 128, Sec. 2, Academia Road, Nankang, Taipei, 11529, Taiwan.
| | - Yeong-Shiau Pu
- Department of Urology, National Taiwan University College of Medicine and Hospital, 7 Zhongshan South Road, Taipei, 100225, Taiwan, Republic of China.
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Mohammadi T, Guh DP, Tam ACT, Pataky RE, Black PC, So A, Lynd LD, Zhang W, Conklin AI. Economic evaluation of prostate cancer risk assessment methods: A cost-effectiveness analysis using population data. Cancer Med 2023; 12:20106-20118. [PMID: 37740609 PMCID: PMC10587968 DOI: 10.1002/cam4.6587] [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: 05/23/2023] [Revised: 09/08/2023] [Accepted: 09/12/2023] [Indexed: 09/24/2023] Open
Abstract
BACKGROUND The current prostate cancer (PCa) screening standard of care (SOC) leads to unnecessary biopsies and overtreatment because decisions are guided by prostate-specific antigen (PSA) levels, which have low specificity in the gray zone (3-10 ng/mL). New risk assessment tools (RATs) aim to improve biopsy decision-making. We constructed a modeling framework to assess new RATs in men with gray zone PSA from the British Columbia healthcare system's perspective. METHODS We evaluated the cost-effectiveness of a new RAT used in biopsy-naïve men aged 50+ with a PSA of 3-10 ng/mL using a time-dependent state-transition model. The model was informed by engaging patient partners and using linked administrative health data, supplemented with published literature. The incremental cost-effectiveness ratio and the probability of the RAT being cost-effective were calculated. Probabilistic analysis was used to assess parameter uncertainty. RESULTS In the base case, a RAT based on an existing biomarker's characteristics was a dominant strategy associated with a cost savings of $44 and a quality-adjusted life years (QALY) gain of 0.00253 over 18 years of follow-up. At a cost-effectiveness threshold of $50,000/QALY, the probability that using a RAT is cost-effective relative to the SOC was 73%. Outcomes were sensitive to RAT costs and accuracy, especially the detection rate of high-grade PCa. Results were also impacted by PCa prevalence and assumptions about undetected PCa survival. CONCLUSIONS Our findings showed that a more accurate RAT to guide biopsy can be cost-effective. Our proposed general model can be used to analyze the cost-effectiveness of any novel RAT.
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Affiliation(s)
- Tima Mohammadi
- Centre for Advancing Health Outcomes (formerly Centre for Health Evaluation and Outcome Sciences), Providence Health Care Research InstituteSt. Paul's HospitalVancouverBritish ColumbiaCanada
| | - Daphne P. Guh
- Centre for Advancing Health Outcomes (formerly Centre for Health Evaluation and Outcome Sciences), Providence Health Care Research InstituteSt. Paul's HospitalVancouverBritish ColumbiaCanada
| | - Alexander C. T. Tam
- Centre for Advancing Health Outcomes (formerly Centre for Health Evaluation and Outcome Sciences), Providence Health Care Research InstituteSt. Paul's HospitalVancouverBritish ColumbiaCanada
| | - Reka E. Pataky
- Canadian Centre for Applied Research in Cancer Control, BC CancerVancouverBritish ColumbiaCanada
| | - Peter C. Black
- Department of Urologic Sciences, Faculty of MedicineUniversity of British ColumbiaVancouverBritish ColumbiaCanada
| | - Alan So
- Department of Urologic Sciences, Faculty of MedicineUniversity of British ColumbiaVancouverBritish ColumbiaCanada
| | - Larry D. Lynd
- Centre for Advancing Health Outcomes (formerly Centre for Health Evaluation and Outcome Sciences), Providence Health Care Research InstituteSt. Paul's HospitalVancouverBritish ColumbiaCanada
- Faculty of Pharmaceutical SciencesUniversity of British ColumbiaVancouverBritish ColumbiaCanada
| | - Wei Zhang
- Centre for Advancing Health Outcomes (formerly Centre for Health Evaluation and Outcome Sciences), Providence Health Care Research InstituteSt. Paul's HospitalVancouverBritish ColumbiaCanada
- Faculty of Pharmaceutical SciencesUniversity of British ColumbiaVancouverBritish ColumbiaCanada
| | - Annalijn I. Conklin
- Centre for Advancing Health Outcomes (formerly Centre for Health Evaluation and Outcome Sciences), Providence Health Care Research InstituteSt. Paul's HospitalVancouverBritish ColumbiaCanada
- Faculty of Pharmaceutical SciencesUniversity of British ColumbiaVancouverBritish ColumbiaCanada
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18
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Varaprasad GL, Gupta VK, Prasad K, Kim E, Tej MB, Mohanty P, Verma HK, Raju GSR, Bhaskar L, Huh YS. Recent advances and future perspectives in the therapeutics of prostate cancer. Exp Hematol Oncol 2023; 12:80. [PMID: 37740236 PMCID: PMC10517568 DOI: 10.1186/s40164-023-00444-9] [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: 01/14/2023] [Accepted: 09/10/2023] [Indexed: 09/24/2023] Open
Abstract
Prostate cancer (PC) is one of the most common cancers in males and the fifth leading reason of death. Age, ethnicity, family history, and genetic defects are major factors that determine the aggressiveness and lethality of PC. The African population is at the highest risk of developing high-grade PC. It can be challenging to distinguish between low-risk and high-risk patients due to the slow progression of PC. Prostate-specific antigen (PSA) is a revolutionary discovery for the identification of PC. However, it has led to an increase in over diagnosis and over treatment of PC in the past few decades. Even if modifications are made to the standard PSA testing, the specificity has not been found to be significant. Our understanding of PC genetics and proteomics has improved due to advances in different fields. New serum, urine, and tissue biomarkers, such as PC antigen 3 (PCA3), have led to various new diagnostic tests, such as the prostate health index, 4K score, and PCA3. These tests significantly reduce the number of unnecessary and repeat biopsies performed. Chemotherapy, radiotherapy, and prostatectomy are standard treatment options. However, newer novel hormone therapy drugs with a better response have been identified. Androgen deprivation and hormonal therapy are evolving as new and better options for managing hormone-sensitive and castration-resistant PC. This review aimed to highlight and discuss epidemiology, various risk factors, and developments in PC diagnosis and treatment regimens.
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Affiliation(s)
- Ganji Lakshmi Varaprasad
- Department of Biological Sciences and Bioengineering, Biohybrid Systems Research Center (BSRC), Inha University, Incheon, 22212, Republic of Korea
| | - Vivek Kumar Gupta
- Department of Biological Sciences and Bioengineering, Biohybrid Systems Research Center (BSRC), Inha University, Incheon, 22212, Republic of Korea
| | - Kiran Prasad
- Department of Zoology, Guru Ghasidas Vishwavidyalaya, Bilaspur, India
| | - Eunsu Kim
- Department of Biological Sciences and Bioengineering, Biohybrid Systems Research Center (BSRC), Inha University, Incheon, 22212, Republic of Korea
| | - Mandava Bhuvan Tej
- Department of Health Care Informatics, Sacred Heart University, 5151 Park Avenue, Fair Fields, CT, 06825, USA
| | - Pratik Mohanty
- Department of Zoology, Guru Ghasidas Vishwavidyalaya, Bilaspur, India
| | - Henu Kumar Verma
- Department of Immunopathology, Institute of Lungs Health and Immunity, Helmholtz Zentrum, 85764, Neuherberg, Munich, Germany
| | - Ganji Seeta Rama Raju
- Department of Energy and Materials Engineering, Dongguk University-Seoul, Seoul, 04620, Republic of Korea.
| | - Lvks Bhaskar
- Department of Zoology, Guru Ghasidas Vishwavidyalaya, Bilaspur, India.
| | - Yun Suk Huh
- Department of Biological Sciences and Bioengineering, Biohybrid Systems Research Center (BSRC), Inha University, Incheon, 22212, Republic of Korea.
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19
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Fairey A, Paproski RJ, Pink D, Sosnowski DL, Vasquez C, Donnelly B, Hyndman E, Aprikian A, Kinnaird A, Beatty PH, Lewis JD. Clinical analysis of EV-Fingerprint to predict grade group 3 and above prostate cancer and avoid prostate biopsy. Cancer Med 2023; 12:15797-15808. [PMID: 37329212 PMCID: PMC10469644 DOI: 10.1002/cam4.6216] [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: 03/09/2023] [Revised: 05/10/2023] [Accepted: 05/30/2023] [Indexed: 06/18/2023] Open
Abstract
BACKGROUND There is an unmet clinical need for minimally invasive diagnostic tests to improve the detection of grade group (GG) ≥3 prostate cancer relative to prostate antigen-specific risk calculators. We determined the accuracy of the blood-based extracellular vesicle (EV) biomarker assay (EV Fingerprint test) at the point of a prostate biopsy decision to predict GG ≥3 from GG ≤2 and avoid unnecessary biopsies. METHODS This study analyzed 415 men referred to urology clinics and scheduled for a prostate biopsy, were recruited to the APCaRI 01 prospective cohort study. The EV machine learning analysis platform was used to generate predictive EV models from microflow data. Logistic regression was then used to analyze the combined EV models and patient clinical data and generate the patients' risk score for GG ≥3 prostate cancer. RESULTS The EV-Fingerprint test was evaluated using the area under the curve (AUC) in discrimination of GG ≥3 from GG ≤2 and benign disease on initial biopsy. EV-Fingerprint identified GG ≥3 cancer patients with high accuracy (0.81 AUC) at 95% sensitivity and 97% negative predictive value. Using a 7.85% probability cutoff, 95% of men with GG ≥3 would have been recommended a biopsy while avoiding 144 unnecessary biopsies (35%) and missing four GG ≥3 cancers (5%). Conversely, a 5% cutoff would have avoided 31 unnecessary biopsies (7%), missing no GG ≥3 cancers (0%). CONCLUSIONS EV-Fingerprint accurately predicted GG ≥3 prostate cancer and would have significantly reduced unnecessary prostate biopsies.
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Affiliation(s)
- Adrian Fairey
- Kipnes Urology Centre, Kaye Edmonton ClinicEdmontonAlbertaCanada
- Nanostics Inc.EdmontonAlbertaCanada
| | - Robert J. Paproski
- Nanostics Inc.EdmontonAlbertaCanada
- Department of OncologyKatz Group Centre, University of AlbertaEdmontonAlbertaCanada
| | - Desmond Pink
- Nanostics Inc.EdmontonAlbertaCanada
- Department of OncologyKatz Group Centre, University of AlbertaEdmontonAlbertaCanada
| | - Deborah L. Sosnowski
- Department of OncologyKatz Group Centre, University of AlbertaEdmontonAlbertaCanada
| | - Catalina Vasquez
- Nanostics Inc.EdmontonAlbertaCanada
- Department of OncologyKatz Group Centre, University of AlbertaEdmontonAlbertaCanada
| | - Bryan Donnelly
- Prostate Cancer CentreUniversity of CalgaryCalgaryAlbertaCanada
| | - Eric Hyndman
- Nanostics Inc.EdmontonAlbertaCanada
- Prostate Cancer CentreUniversity of CalgaryCalgaryAlbertaCanada
| | - Armen Aprikian
- Nanostics Inc.EdmontonAlbertaCanada
- Department of SurgeryMcGill University, Montreal General HospitalMontrealQuebecCanada
| | - Adam Kinnaird
- Kipnes Urology Centre, Kaye Edmonton ClinicEdmontonAlbertaCanada
| | - Perrin H. Beatty
- Nanostics Inc.EdmontonAlbertaCanada
- Department of OncologyKatz Group Centre, University of AlbertaEdmontonAlbertaCanada
| | - John D. Lewis
- Nanostics Inc.EdmontonAlbertaCanada
- Department of OncologyKatz Group Centre, University of AlbertaEdmontonAlbertaCanada
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20
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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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21
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Campistol M, Triquell M, Regis L, Celma A, de Torres I, Semidey ME, Mast R, Mendez O, Planas J, Trilla E, Morote J. Relationship between Proclarix and the Aggressiveness of Prostate Cancer. Mol Diagn Ther 2023; 27:487-498. [PMID: 37081322 DOI: 10.1007/s40291-023-00649-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/29/2023] [Indexed: 04/22/2023]
Abstract
INTRODUCTION Proclarix is a CE-marked test that provides the risk of clinically significant prostate cancer (csPCa), ranging from 0% to 100%, based on the serum measurement of Thrombospondin-1, cathepsin D, prostate-specific antigen (PSA), and percentage of free PSA in addition to age. We hypothesize that Proclarix could be correlated with PCa aggressiveness. We analyzed the association of this new biomarker with four surrogates of aggressiveness: grade group (GG) in the biopsy, clinical stage, risk of biochemical recurrence after primary treatment of localized PCa, and pathology in the surgical specimen. MATERIAL AND METHODS This is a retrospective study from 606 men with suspicion of PCa [PSA of ≥ 3.0 ng/mL and/or abnormal digital rectal examination (DRE)], in whom Proclarix was assessed (0-100%). The GG was defined by the International Society of Urological Pathology categories. The TNM was used for clinical staging (cT based on DRE, whereas cN and cM were established with computed tomography and 99-technetium bone scintigraphy). The risk of biochemical recurrence of localized PCa after primary treatment was defined by combining PSA, GG, and cT. Finally, an unfavorable pathology in a surgical specimen was defined as GG > 2 or pT ≥ 3. RESULTS The median age of the cohort was 67 years old, with a median PSA of 7 ng/mL and a rate of abnormal DRE of 23.3%. CsPCa was detected in 254 men (41.9%), with a median Proclarix of 60.1% compared with 37.3% obtained in patients with insignificant PCa and 20.7% in men without PCa. Among patients with GG > 3, Proclarix was significantly higher (58.2%) than in those with GG of 3 or lower (33.1%, p < 0.001). Men with localized tumors exhibited a Proclarix median of 37.3% compared with those with advanced disease (60.1%, p < 0.001). Proclarix levels among 197 patients with low and intermediate risk of biochemical recurrence were 24.9% and 35.0%, respectively, significantly lower compared with patients with high-risk disease (58.7%, p < 0.001). Unfavorable pathology was observed in 35 patients out of the 79 who underwent radical prostatectomy, with a Proclarix median of 35.7% compared with 23.7% obtained in patients with favorable pathology (p = 0.013). Proclarix and magnetic resonance imaging were independent predictors of the four surrogates of aggressiveness analyzed. CONCLUSION There is a correlation between Proclarix and the aggressiveness of PCa.
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Affiliation(s)
- Miriam Campistol
- Department of Urology, Vall d'Hebron Hospital, Passeig de la Vall d'Hebron 119, 08035, Barcelona, Spain.
- Department of Surgery, Universitat Autònoma de Barcelona, 08193, Barcelona, Spain.
| | - Marina Triquell
- Department of Urology, Vall d'Hebron Hospital, Passeig de la Vall d'Hebron 119, 08035, Barcelona, Spain
| | - Lucas Regis
- Department of Urology, Vall d'Hebron Hospital, Passeig de la Vall d'Hebron 119, 08035, Barcelona, Spain
- Prostate Cancer Research Group, Vall d'Hebron, Research Institute, 08035, Barcelona, Spain
| | - Ana Celma
- Department of Urology, Vall d'Hebron Hospital, Passeig de la Vall d'Hebron 119, 08035, Barcelona, Spain
- Prostate Cancer Research Group, Vall d'Hebron, Research Institute, 08035, Barcelona, Spain
| | - Inés de Torres
- Prostate Cancer Research Group, Vall d'Hebron, Research Institute, 08035, Barcelona, Spain
- Department of Pathology, Vall d'Hebron Hospital, 08035, Barcelona, Spain
- Department of Morphological Sciences, Universitat Autònoma de Barcelona, 08193, Barcelona, Spain
| | - María E Semidey
- Prostate Cancer Research Group, Vall d'Hebron, Research Institute, 08035, Barcelona, Spain
- Department of Pathology, Vall d'Hebron Hospital, 08035, Barcelona, Spain
- Department of Morphological Sciences, Universitat Autònoma de Barcelona, 08193, Barcelona, Spain
| | - Richard Mast
- Department of Radiology, Vall d'Hebron Hospital, 08035, Barcelona, Spain
| | - Olga Mendez
- Prostate Cancer Research Group, Vall d'Hebron, Research Institute, 08035, Barcelona, Spain
| | - Jacques Planas
- Department of Urology, Vall d'Hebron Hospital, Passeig de la Vall d'Hebron 119, 08035, Barcelona, Spain
- Prostate Cancer Research Group, Vall d'Hebron, Research Institute, 08035, Barcelona, Spain
| | - Enrique Trilla
- Department of Urology, Vall d'Hebron Hospital, Passeig de la Vall d'Hebron 119, 08035, Barcelona, Spain
- Prostate Cancer Research Group, Vall d'Hebron, Research Institute, 08035, Barcelona, Spain
- Department of Surgery, Universitat Autònoma de Barcelona, 08193, Barcelona, Spain
| | - Juan Morote
- Department of Urology, Vall d'Hebron Hospital, Passeig de la Vall d'Hebron 119, 08035, Barcelona, Spain
- Prostate Cancer Research Group, Vall d'Hebron, Research Institute, 08035, Barcelona, Spain
- Department of Surgery, Universitat Autònoma de Barcelona, 08193, Barcelona, Spain
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22
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Mytsyk Y, Nakonechnyi Y, Dosenko V, Kowal P, Pietrus M, Gazdikova K, Labudova M, Caprnda M, Prosecky R, Dragasek J, Kruzliak P, Dats R. The performance and limitations of PCA3, TMPRSS2:ERG, HOXC6 and DLX1 urinary markers combined in the improvement of prostate cancer diagnostics. Clin Biochem 2023; 116:120-127. [PMID: 37121562 DOI: 10.1016/j.clinbiochem.2023.04.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 04/26/2023] [Accepted: 04/26/2023] [Indexed: 05/02/2023]
Abstract
BACKGROUND Prostate cancer (PCa) is the second most commonly diagnosed cancer in men. To date, the role of the combined application of long non-coding RNAs (PCA3, DLX1, HOXC6, TMPRSS2:ERG) for obtaining the most accurate method of detection of PCa has not yet been comprehensively investigated. METHODS In total 240 persons were included in the retrospective study. Among them were 150 patients with confirmed PCa, 30 patients with benign prostatic hyperplasia, 30 patients with active chronic prostatitis and 30 healthy volunteers. In all patients, the urine samples were collected prior to biopsy or treatment. Polymerase chain reaction with reverse transcription was performed to detect the expression level of PCA3, HOXC6, DLX1 and the presence of the TMPRSS2:ERG transcript. RESULTS PCA3 was detected in urine samples in all cases. Using a PCA3 score of 56 allowed the differentiation between PCa and all other cases with a sensitivity of 61% and specificity of 96% (p<0.001) while a PCA3 score threshold value of 50 resulted in a differentiation between clinically significant PCa (ISUP grades 2-5) and all other cases with a sensitivity of 93% and specificity of 93% (p<0.001). The TMPRSS2:ERG expression in urine was detected exclusively in the group of patients with PCa and only in 16% of all cases. CONCLUSIONS PCA3 score detected in urine demonstrated moderate sensitivity and good specificity in differentiation between PCa and non-PCa and high sensitivity and specificity in differentiation between clinically significant PCa and non-PCa.
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Affiliation(s)
- Yulian Mytsyk
- Department of Urology, Danylo Halytsky Lviv National Medical University, Ukraine
| | - Yosyf Nakonechnyi
- General and Molecular Pathophysiology Department, Bogomoletz Institute of Physiology of National Academy of Sciences of Ukraine, Kyiv, Ukraine
| | - Victor Dosenko
- Department of Urology, Danylo Halytsky Lviv National Medical University, Ukraine
| | - Pawel Kowal
- Department of Urology, Regional Specialist Hospital, Wroclaw, Poland
| | - Michał Pietrus
- Department of Urology, Regional Specialist Hospital, Wroclaw, Poland
| | - Katarina Gazdikova
- Department of Nutrition, Faculty of Nursing and Professional Health Studies, Slovak Medical University, Bratislava, Slovakia; Department of General Medicine, Faculty of Medicine, Slovak Medical University, Bratislava, Slovakia
| | - Monika Labudova
- Faculty of Health Sciences, University of Ss. Cyril and Methodius in Trnava, Trnava, Slovakia
| | - Martin Caprnda
- 1(st) Department of Internal Medicine, Faculty of Medicine, Comenius University and University Hospital, Bratislava, Slovakia
| | - Robert Prosecky
- 2(nd) Department of Internal Medicine, Faculty of Medicine, Masaryk University and St. Annés University Hospital, Brno, Czech Republic; International Clinical Research Center, Masaryk University and St. Annés University Hospital, Brno, Czech Republic
| | - Jozef Dragasek
- 1(st) Department of Psychiatry, Faculty of Medicine, Luis Pasteur University Hospital, Pavol Jozef Safarik University, Kosice, Slovakia
| | - Peter Kruzliak
- 2(nd) Department of Surgery, Faculty of Medicine, Masaryk University and St. Annés University Hospital, Brno, Czech Republic.
| | - Roman Dats
- Department of Urology, Danylo Halytsky Lviv National Medical University, Ukraine
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Woollam M, Siegel AP, Munshi A, Liu S, Tholpady S, Gardner T, Li BY, Yokota H, Agarwal M. Canine-Inspired Chemometric Analysis of Volatile Organic Compounds in Urine Headspace to Distinguish Prostate Cancer in Mice and Men. Cancers (Basel) 2023; 15:cancers15041352. [PMID: 36831694 PMCID: PMC9954105 DOI: 10.3390/cancers15041352] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Revised: 02/06/2023] [Accepted: 02/13/2023] [Indexed: 02/23/2023] Open
Abstract
Canines can identify prostate cancer with high accuracy by smelling volatile organic compounds (VOCs) in urine. Previous studies have identified VOC biomarkers for prostate cancer utilizing solid phase microextraction (SPME) gas chromatography-mass spectrometry (GC-MS) but have not assessed the ability of VOCs to distinguish aggressive cancers. Additionally, previous investigations have utilized murine models to identify biomarkers but have not determined if the results are translatable to humans. To address these challenges, urine was collected from mice with prostate cancer and men undergoing prostate cancer biopsy and VOCs were analyzed by SPME GC-MS. Prior to analysis, SPME fibers/arrows were compared, and the fibers had enhanced sensitivity toward VOCs with a low molecular weight. The analysis of mouse urine demonstrated that VOCs could distinguish tumor-bearing mice with 100% accuracy. Linear discriminant analysis of six VOCs in human urine distinguished prostate cancer with sensitivity = 75% and specificity = 69%. Another panel of seven VOCs could classify aggressive cancer with sensitivity = 78% and specificity = 85%. These results show that VOCs have moderate accuracy in detecting prostate cancer and a superior ability to stratify aggressive tumors. Furthermore, the overlap in the structure of VOCs identified in humans and mice shows the merit of murine models for identifying biomarker candidates.
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Affiliation(s)
- Mark Woollam
- Integrated Nanosystems Development Institute, Indiana University-Purdue University Indianapolis, Indianapolis, IN 46202, USA
- Department of Chemistry and Chemical Biology, Indiana University-Purdue University Indianapolis, Indianapolis, IN 46202, USA
| | - Amanda P. Siegel
- Integrated Nanosystems Development Institute, Indiana University-Purdue University Indianapolis, Indianapolis, IN 46202, USA
- Department of Chemistry and Chemical Biology, Indiana University-Purdue University Indianapolis, Indianapolis, IN 46202, USA
| | - Adam Munshi
- Integrated Nanosystems Development Institute, Indiana University-Purdue University Indianapolis, Indianapolis, IN 46202, USA
| | - Shengzhi Liu
- Department of Pharmacology, School of Pharmacy, Harbin Medical University, Harbin 150081, China
| | - Sunil Tholpady
- Richard L Roudebush Veterans Affairs Medical Center, Indianapolis, IN 46202, USA
| | - Thomas Gardner
- Richard L Roudebush Veterans Affairs Medical Center, Indianapolis, IN 46202, USA
- Department of Urology, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Bai-Yan Li
- Department of Pharmacology, School of Pharmacy, Harbin Medical University, Harbin 150081, China
| | - Hiroki Yokota
- Department of Biomedical Engineering, Indiana University-Purdue University Indianapolis, Indianapolis, IN 46202, USA
| | - Mangilal Agarwal
- Integrated Nanosystems Development Institute, Indiana University-Purdue University Indianapolis, Indianapolis, IN 46202, USA
- Department of Chemistry and Chemical Biology, Indiana University-Purdue University Indianapolis, Indianapolis, IN 46202, USA
- Department of Mechanical and Energy Engineering, Indiana University-Purdue University Indianapolis, Indianapolis, IN 46202, USA
- Correspondence:
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Frantzi M, Culig Z, Heidegger I, Mokou M, Latosinska A, Roesch MC, Merseburger AS, Makridakis M, Vlahou A, Blanca-Pedregosa A, Carrasco-Valiente J, Mischak H, Gomez-Gomez E. Mass Spectrometry-Based Biomarkers to Detect Prostate Cancer: A Multicentric Study Based on Non-Invasive Urine Collection without Prior Digital Rectal Examination. Cancers (Basel) 2023; 15:cancers15041166. [PMID: 36831508 PMCID: PMC9954607 DOI: 10.3390/cancers15041166] [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: 12/16/2022] [Revised: 02/02/2023] [Accepted: 02/07/2023] [Indexed: 02/17/2023] Open
Abstract
(1) Background: Prostate cancer (PCa) is the most frequently diagnosed cancer in men. Wide application of prostate specific antigen test has historically led to over-treatment, starting from excessive biopsies. Risk calculators based on molecular and clinical variables can be of value to determine the risk of PCa and as such, reduce unnecessary and invasive biopsies. Urinary molecular studies have been mostly focusing on sampling after initial intervention (digital rectal examination and/or prostate massage). (2) Methods: Building on previous proteomics studies, in this manuscript, we aimed at developing a biomarker model for PCa detection based on urine sampling without prior intervention. Capillary electrophoresis coupled to mass spectrometry was applied to acquire proteomics profiles from 970 patients from two different clinical centers. (3) Results: A case-control comparison was performed in a training set of 413 patients and 181 significant peptides were subsequently combined by a support vector machine algorithm. Independent validation was initially performed in 272 negative for PCa and 138 biopsy-confirmed PCa, resulting in an AUC of 0.81, outperforming current standards, while a second validation phase included 147 PCa patients. (4) Conclusions: This multi-dimensional biomarker model holds promise to improve the current diagnosis of PCa, by guiding invasive biopsies.
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Affiliation(s)
- Maria Frantzi
- Department of Biomarker Research, Mosaiques Diagnostics GmbH, 30659 Hannover, Germany
- Correspondence: ; Tel.: +49-511-5547-4429
| | - Zoran Culig
- Experimental Urology Department of Urology, Medical University of Innsbruck, 6020 Innsbruck, Austria
| | - Isabel Heidegger
- Experimental Urology Department of Urology, Medical University of Innsbruck, 6020 Innsbruck, Austria
| | - Marika Mokou
- Department of Biomarker Research, Mosaiques Diagnostics GmbH, 30659 Hannover, Germany
| | - Agnieszka Latosinska
- Department of Biomarker Research, Mosaiques Diagnostics GmbH, 30659 Hannover, Germany
| | - Marie C. Roesch
- Department of Urology, University Hospital Schleswig-Holstein, Campus Lübeck, 23538 Lübeck, Germany
| | - Axel S. Merseburger
- Department of Urology, University Hospital Schleswig-Holstein, Campus Lübeck, 23538 Lübeck, Germany
| | - Manousos Makridakis
- Systems Biology Center, Biomedical Research Foundation, Academy of Athens, 11527 Athens, Greece
| | - Antonia Vlahou
- Systems Biology Center, Biomedical Research Foundation, Academy of Athens, 11527 Athens, Greece
| | - Ana Blanca-Pedregosa
- Maimonides Biomedical Research Institute of Córdoba, Department of Urology, University of Cordoba, 14004 Cordoba, Spain
| | - Julia Carrasco-Valiente
- Maimonides Biomedical Research Institute of Córdoba, Department of Urology, University of Cordoba, 14004 Cordoba, Spain
| | - Harald Mischak
- Department of Biomarker Research, Mosaiques Diagnostics GmbH, 30659 Hannover, Germany
- Institute of Cardiovascular and Medical Science, University of Glasgow, Glasgow G12 8TA, UK
| | - Enrique Gomez-Gomez
- Maimonides Biomedical Research Institute of Córdoba, Department of Urology, University of Cordoba, 14004 Cordoba, Spain
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Manzar N, Ganguly P, Khan UK, Ateeq B. Transcription networks rewire gene repertoire to coordinate cellular reprograming in prostate cancer. Semin Cancer Biol 2023; 89:76-91. [PMID: 36702449 DOI: 10.1016/j.semcancer.2023.01.004] [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: 10/03/2022] [Revised: 01/04/2023] [Accepted: 01/18/2023] [Indexed: 01/24/2023]
Abstract
Transcription factors (TFs) represent the most commonly deregulated DNA-binding class of proteins associated with multiple human cancers. They can act as transcriptional activators or repressors that rewire the cistrome, resulting in cellular reprogramming during cancer progression. Deregulation of TFs is associated with the onset and maintenance of various cancer types including prostate cancer. An emerging subset of TFs has been implicated in the regulation of multiple cancer hallmarks during tumorigenesis. Here, we discuss the role of key TFs which modulate transcriptional cicuitries involved in the development and progression of prostate cancer. We further highlight the role of TFs associated with key cancer hallmarks, including, chromatin remodeling, genome instability, DNA repair, invasion, and metastasis. We also discuss the pluripotent function of TFs in conferring lineage plasticity, that aids in disease progression to neuroendocrine prostate cancer. At the end, we summarize the current understanding and approaches employed for the therapeutic targeting of TFs and their cofactors in the clinical setups to prevent disease progression.
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Affiliation(s)
- Nishat Manzar
- Molecular Oncology Laboratory, Department of Biological Sciences and Bioengineering, Indian Institute of Technology Kanpur, Kanpur 208016, UP, India
| | - Promit Ganguly
- Molecular Oncology Laboratory, Department of Biological Sciences and Bioengineering, Indian Institute of Technology Kanpur, Kanpur 208016, UP, India
| | - Umar Khalid Khan
- Molecular Oncology Laboratory, Department of Biological Sciences and Bioengineering, Indian Institute of Technology Kanpur, Kanpur 208016, UP, India
| | - Bushra Ateeq
- Molecular Oncology Laboratory, Department of Biological Sciences and Bioengineering, Indian Institute of Technology Kanpur, Kanpur 208016, UP, India; Mehta Family Center for Engineering in Medicine, Indian Institute of Technology Kanpur, Kanpur 208016, India.
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26
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Boehm BE, York ME, Petrovics G, Kohaar I, Chesnut GT. Biomarkers of Aggressive Prostate Cancer at Diagnosis. Int J Mol Sci 2023; 24:ijms24032185. [PMID: 36768533 PMCID: PMC9916581 DOI: 10.3390/ijms24032185] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 01/09/2023] [Accepted: 01/15/2023] [Indexed: 01/24/2023] Open
Abstract
In the United States, prostate cancer (CaP) remains the second leading cause of cancer deaths in men. CaP is predominantly indolent at diagnosis, with a small fraction (25-30%) representing an aggressive subtype (Gleason score 7-10) that is prone to metastatic progression. This fact, coupled with the criticism surrounding the role of prostate specific antigen in prostate cancer screening, demonstrates the current need for a biomarker(s) that can identify clinically significant CaP and avoid unnecessary biopsy procedures and psychological implications of being diagnosed with low-risk prostate cancer. Although several diagnostic biomarkers are available to clinicians, very few comparative trials have been performed to assess the clinical effectiveness of these biomarkers. It is of note, however, that a majority of these clinical trials have been over-represented by men of Caucasian origin, despite the fact that African American men have a 1.7 times higher incidence and 2.1 times higher rate of mortality from prostate cancer. Biomarkers for CaP diagnosis based on the tissue of origin include urine-based gene expression assays (PCA3, Select MDx, ExoDx Prostate IntelliScore, Mi-Prostate Score, PCA3-PCGEM1 gene panel), blood-based protein biomarkers (4K, PHI), and tissue-based DNA biomarker (Confirm MDx). Another potential direction that has emerged to aid in the CaP diagnosis include multi-parametric magnetic resonance imaging (mpMRI) and bi-parametric magnetic resonance imaging (bpMRI), which in conjunction with clinically validated biomarkers may provide a better approach to predict clinically significant CaP at diagnosis. In this review, we discuss some of the adjunctive biomarker tests along with newer imaging modalities that are currently available to help clinicians decide which patients are at risk of having high-grade CaP on prostate biopsy with the emphasis on clinical utility of the tests across African American (AA) and Caucasian (CA) men.
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Affiliation(s)
- Brock E. Boehm
- Urology Service, Walter Reed National Military Medical Center, Bethesda, MD 20814, USA
| | - Monica E. York
- School of Medicine, Uniformed Services University of Health Science, Bethesda, MD 20814, USA
| | - Gyorgy Petrovics
- Center for Prostate Disease Research, Department of Surgery, Uniformed Services University of the Health Sciences and the Walter Reed National Military Medical Center, Bethesda, MD 20814, USA
- Henry Jackson Foundation for the Advancement of Military Medicine (HJF), Bethesda, MD 20817, USA
| | - Indu Kohaar
- Center for Prostate Disease Research, Department of Surgery, Uniformed Services University of the Health Sciences and the Walter Reed National Military Medical Center, Bethesda, MD 20814, USA
- Henry Jackson Foundation for the Advancement of Military Medicine (HJF), Bethesda, MD 20817, USA
- Correspondence: (I.K.); (G.T.C.)
| | - Gregory T. Chesnut
- Urology Service, Walter Reed National Military Medical Center, Bethesda, MD 20814, USA
- Center for Prostate Disease Research, Department of Surgery, Uniformed Services University of the Health Sciences and the Walter Reed National Military Medical Center, Bethesda, MD 20814, USA
- Correspondence: (I.K.); (G.T.C.)
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27
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Jain G, Das P, Ranjan P, Neha, Valderrama F, Cieza-Borrella C. Urinary extracellular vesicles miRNA-A new era of prostate cancer biomarkers. Front Genet 2023; 14:1065757. [PMID: 36741322 PMCID: PMC9895092 DOI: 10.3389/fgene.2023.1065757] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Accepted: 01/09/2023] [Indexed: 01/21/2023] Open
Abstract
Prostate cancer is the second most common male cancer worldwide showing the highest rates of incidence in Western Europe. Although the measurement of serum prostate-specific antigen levels is the current gold standard in PCa diagnosis, PSA-based screening is not considered a reliable diagnosis and prognosis tool due to its lower sensitivity and poor predictive score which lead to a 22%-43% overdiagnosis, unnecessary biopsies, and over-treatment. These major limitations along with the heterogeneous nature of the disease have made PCa a very unappreciative subject for diagnostics, resulting in poor patient management; thus, it urges to identify and validate new reliable PCa biomarkers that can provide accurate information in regard to disease diagnosis and prognosis. Researchers have explored the analysis of microRNAs (miRNAs), messenger RNAs (mRNAs), small proteins, genomic rearrangements, and gene expression in body fluids and non-solid tissues in search of lesser invasive yet efficient PCa biomarkers. Although the presence of miRNAs in body fluids like blood, urine, and saliva initially sparked great interest among the scientific community; their potential use as liquid biopsy biomarkers in PCa is still at a very nascent stage with respect to other well-established diagnostics and prognosis tools. Up to date, numerous studies have been conducted in search of PCa miRNA-based biomarkers in whole blood or blood serum; however, only a few studies have investigated their presence in urine samples of which less than two tens involve the detection of miRNAs in extracellular vesicles isolated from urine. In addition, there exists some discrepancy around the identification of miRNAs in PCa urine samples due to the diversity of the urine fractions that can be targeted for analysis such as urine circulating cells, cell-free fractions, and exosomes. In this review, we aim to discuss research output from the most recent studies involving the analysis of urinary EVs for the identification of miRNA-based PCa-specific biomarkers.
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Affiliation(s)
- Garima Jain
- Centre for Genetic Disorders, Institute of Science, Banaras Hindu University, Varanasi, India,*Correspondence: Garima Jain, ; Clara Cieza-Borrella,
| | - Parimal Das
- Centre for Genetic Disorders, Institute of Science, Banaras Hindu University, Varanasi, India
| | - Prashant Ranjan
- Centre for Genetic Disorders, Institute of Science, Banaras Hindu University, Varanasi, India
| | - Neha
- Centre for Genetic Disorders, Institute of Science, Banaras Hindu University, Varanasi, India
| | - Ferran Valderrama
- Centre for Biomedical Education, Cell Biology and Genetics Research Centre, St. George’s University of London, London, United Kingdom
| | - Clara Cieza-Borrella
- Centre for Biomedical Education, Cell Biology and Genetics Research Centre, St. George’s University of London, London, United Kingdom,*Correspondence: Garima Jain, ; Clara Cieza-Borrella,
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28
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Wiśniowski T, Bryda J, Wątroba S. The role of matrix metalloproteinases in pathogenesis, diagnostics, and treatment of human prostate cancer. POSTEP HIG MED DOSW 2023. [DOI: 10.2478/ahem-2023-0002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/01/2023] Open
Abstract
Abstract
The prostate gland is highly susceptible to oncogenic transformation, many times more than other sex tissues, such as seminal vesicles. In fact, prostate cancer (PCa) will be diagnosed in one in seven lifetime patients, making PCa the subject of intense research aimed at clarifying its biology and providing adequate treatment. PCa is the fourth most common cancer in the world in terms of the overall population and the second most common cancer for the male population. It is postulated that the development of PCa may be influenced by dietary factors, physical and sexual activity, androgens, obesity, and inflammation, but their role in the development of prostate cancer still remains unclear. Extracellular matrix metalloproteinases (MMPs) and tissue metalloproteinase inhibitors (TIMPs) play an important role in many physiological and pathological processes, including proliferation, migration, invasion, cell differentiation, participation in inflammatory processes and angiogenesis. Numerous studies point to a direct relationship between MMPs and both local tumor invasion and the formation of distant metastases. High activity of MMPs is observed in solid tumors of various origins, which positively correlates with a poor overall survival rate. Although biochemical diagnostic markers of PCa are currently available, from the point of view of clinical practice, it seems particularly important to develop new and more sensitive markers allowing for early diagnosis and long-term monitoring of patients after PCa treatment, and the assessment of MMP activity in urine and serum of patients are potential factors that could play such a role.
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Eickelschulte S, Riediger AL, Angeles AK, Janke F, Duensing S, Sültmann H, Görtz M. Biomarkers for the Detection and Risk Stratification of Aggressive Prostate Cancer. Cancers (Basel) 2022; 14:cancers14246094. [PMID: 36551580 PMCID: PMC9777028 DOI: 10.3390/cancers14246094] [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: 11/17/2022] [Revised: 12/05/2022] [Accepted: 12/09/2022] [Indexed: 12/14/2022] Open
Abstract
Current strategies for the clinical management of prostate cancer are inadequate for a precise risk stratification between indolent and aggressive tumors. Recently developed tissue-based molecular biomarkers have refined the risk assessment of the disease. The characterization of tissue biopsy components and subsequent identification of relevant tissue-based molecular alterations have the potential to improve the clinical decision making and patient outcomes. However, tissue biopsies are invasive and spatially restricted due to tumor heterogeneity. Therefore, there is an urgent need for complementary diagnostic and prognostic options. Liquid biopsy approaches are minimally invasive with potential utility for the early detection, risk stratification, and monitoring of tumors. In this review, we focus on tissue and liquid biopsy biomarkers for early diagnosis and risk stratification of prostate cancer, including modifications on the genomic, epigenomic, transcriptomic, and proteomic levels. High-risk molecular alterations combined with orthogonal clinical parameters can improve the identification of aggressive tumors and increase patient survival.
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Affiliation(s)
- Samaneh Eickelschulte
- Junior Clinical Cooperation Unit, Multiparametric Methods for Early Detection of Prostate Cancer, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
- Department of Urology, University Hospital Heidelberg, 69120 Heidelberg, Germany
- Division of Cancer Genome Research, German Cancer Research Center (DKFZ), National Center for Tumor Diseases (NCT), 69120 Heidelberg, Germany
| | - Anja Lisa Riediger
- Junior Clinical Cooperation Unit, Multiparametric Methods for Early Detection of Prostate Cancer, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
- Department of Urology, University Hospital Heidelberg, 69120 Heidelberg, Germany
- Division of Cancer Genome Research, German Cancer Research Center (DKFZ), National Center for Tumor Diseases (NCT), 69120 Heidelberg, Germany
- Faculty of Biosciences, Heidelberg University, 69120 Heidelberg, Germany
| | - Arlou Kristina Angeles
- Division of Cancer Genome Research, German Cancer Research Center (DKFZ), National Center for Tumor Diseases (NCT), 69120 Heidelberg, Germany
| | - Florian Janke
- Division of Cancer Genome Research, German Cancer Research Center (DKFZ), National Center for Tumor Diseases (NCT), 69120 Heidelberg, Germany
| | - Stefan Duensing
- Molecular Urooncology, Department of Urology, University Hospital Heidelberg, 69120 Heidelberg, Germany
| | - Holger Sültmann
- Division of Cancer Genome Research, German Cancer Research Center (DKFZ), National Center for Tumor Diseases (NCT), 69120 Heidelberg, Germany
- German Cancer Consortium (DKTK), 69120 Heidelberg, Germany
| | - Magdalena Görtz
- Junior Clinical Cooperation Unit, Multiparametric Methods for Early Detection of Prostate Cancer, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
- Department of Urology, University Hospital Heidelberg, 69120 Heidelberg, Germany
- Correspondence: ; Tel.: +49-6221-42-2603
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Bilal M, Javaid A, Amjad F, Youssif TA, Afzal S. An overview of prostate cancer (PCa) diagnosis: Potential role of miRNAs. Transl Oncol 2022; 26:101542. [PMID: 36148731 PMCID: PMC9493385 DOI: 10.1016/j.tranon.2022.101542] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Revised: 08/18/2022] [Accepted: 09/07/2022] [Indexed: 12/15/2022] Open
Abstract
Prostate cancer is the second most frequently diagnosed cancer among men worldwide, with the estimated sixth leading cause of cancer death. Despite major advancements in clinical biology and imaging, digital rectal examination (DRE), prostate-specific antigen (PSA), and biopsies indication remain the keystone for screening. Several kits are used to detect genomic changes and non-coding RNAs in the sample. However, its indication remains controversial for screening purposes. There is an urged need for non-invasive biomarkers to implement precision medicine. Recent research shows that miRNAs have an important role in the diagnostic, prognostic, and therapeutic agents as non-invasive biomarkers. Though prostate cancer data remains controversial in other cancer types, such as breast cancer, miR-21 expression is upregulated. Here, we reported a prolonged revision of miRNAs as prostate cancer prognostic, diagnostic, and predictive tools, including data on androgen receptor (AR) signaling, epithelial-mesenchymal transition (EMT) process, and cancer stem cells (CSCs) regulation. The combined utilization of miRNAs with other tests will help patients and clinicians to select the most appropriate personalized treatment and to avoid overdiagnosis and unnecessary biopsies. Future clinical applications of our reported novel miRNAs have a substantial role in the primary diagnosis of prostate cancer to help treatment decisions.
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Affiliation(s)
- Muhammad Bilal
- Department of Biotechnology, Graduate School of Engineering, Osaka University, Suita, Japan; SANKEN (The Institute of Scientific and Industrial Research), Osaka University, Ibaraki, Japan
| | - Aqsa Javaid
- Center of Excellence in Molecular Biology, University of the Punjab, Lahore, Pakistan
| | - Farhat Amjad
- Quaid-e-Azam Medical College, Bahawalpur, Pakistan
| | | | - Samia Afzal
- Center of Excellence in Molecular Biology, University of the Punjab, Lahore, Pakistan.
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31
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del Pino-Sedeño T, Infante-Ventura D, de Armas Castellano A, de Pablos-Rodríguez P, Rueda-Domínguez A, Serrano-Aguilar P, Trujillo-Martín MM. Molecular Biomarkers for the Detection of Clinically Significant Prostate Cancer: A Systematic Review and Meta-analysis. EUR UROL SUPPL 2022; 46:105-127. [DOI: 10.1016/j.euros.2022.10.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/18/2022] [Indexed: 11/11/2022] Open
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32
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Wang L, He W, Shi G, Zhao G, Cen Z, Xu F, Tian W, Zhao X, Mo C. Accuracy of novel urinary biomarker tests in the diagnosis of prostate cancer: A systematic review and network meta-analysis. Front Oncol 2022; 12:1048876. [PMID: 36457516 PMCID: PMC9706202 DOI: 10.3389/fonc.2022.1048876] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Accepted: 10/26/2022] [Indexed: 11/16/2022] Open
Abstract
ObjectiveThe purpose of this study was to conduct a network meta-analysis comparing the diagnostic value of different urinary markers for prostate cancer.MethodsAs of June 2022, the literature was retrieved by searching Pubmed, EMBASE, Web of Science databases and other databases. The methodological quality of included studies was assessed using the Cochrane Collaboration’s risk of bias tool, and publication bias was assessed using funnel plots. The surface under the cumulative ranking curve (SUCRA) values was used to determine the most effective diagnostic method and the data were analyzed accordingly using data analysis software.ResultsA total of 16 articles was included including 9952 patients. The ranking results of network meta-analysis showed that the diagnostic performance of the four urine markers Selectmdx, MIPS, PCA3 and EPI was better than that of PSA. Among them, the specificity, positive predictive value and diagnostic accuracy of Selectmdx ranked first in the SUCRA ranking (SUCRA values: 85.2%, 88.3%, 97.1%), and the sensitivity ranked second in the SUCRA ranking (SUCRA value: 54.4%), and the negative predictive value ranked fourth in SUCRA (SUCRA value: 51.6%). The most sensitive screening tool was MIPS (SUCRA value: 67.1%), and it was also the second screening tool ranked higher in specificity, positive predictive value, negative predictive value and diagnostic accuracy (SUCRA value: 56.5%, respectively)., 57.1%, 67.9%, 74.3%). The high negative predictive value SUCRA ranking is EPI (SUCRA value: 68.0%), its sensitivity ranks third (SUCRA value: 45.6%), and its specificity, positive predictive value and diagnostic accuracy are ranked fourth (SUCRA values are: 45%, 38.2%, 35.8%).ConclusionAccording to the network ranking diagram, we finally concluded that Selectmdx and MIPS can be used as the most suitable urine markers for prostate cancer screening and diagnosis. To further explore the diagnostic value of different urinary markers in the screening of PCa patients.Systematic Review Registrationhttps://inplasy.com/, identifier INPLASY202290094.
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Affiliation(s)
- Leibo Wang
- Surgery, Guizhou Orthopaedic Hospital, Guiyang, Guizhou, China
- *Correspondence: Leibo Wang, ; Guanyu Shi,
| | - Wei He
- Surgery, Guizhou Orthopaedic Hospital, Guiyang, Guizhou, China
| | - Guanyu Shi
- Department of Urology, Fenggang County People’s Hospital, Zunyi, Guizhou, China
- *Correspondence: Leibo Wang, ; Guanyu Shi,
| | - Guoqiang Zhao
- Surgery, Guizhou Orthopaedic Hospital, Guiyang, Guizhou, China
| | - Zhuangding Cen
- Surgery, Guizhou Orthopaedic Hospital, Guiyang, Guizhou, China
| | - Feng Xu
- Surgery, Guizhou Orthopaedic Hospital, Guiyang, Guizhou, China
| | - Wu Tian
- Surgery, Guizhou Orthopaedic Hospital, Guiyang, Guizhou, China
| | - Xin Zhao
- Surgery, Guizhou Orthopaedic Hospital, Guiyang, Guizhou, China
| | - Chishou Mo
- Surgery, Guizhou Orthopaedic Hospital, Guiyang, Guizhou, China
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Shlyapnikov YM, Malakhova EA, Vinarov AZ, Potoldykova NV, Vladimirov VI, Zernii EY, Zamyatnin AA, Shlyapnikova EA. Cancer-Retina Antigens in the Urine of Bladder and Prostate Cancer Patients. BIOCHEMISTRY. BIOKHIMIIA 2022; 87:1268-1276. [PMID: 36509724 DOI: 10.1134/s0006297922110062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
It has recently been shown that combination of arrestin and recoverin can serve as an effective urinary biomarker for renal cell carcinoma with sensitivity and specificity of over 92%. In this work, we studied the possibility of detecting these antigens in the urine in other urological oncological diseases - bladder cancer (BC) and prostate cancer (PCa). Urine samples from 40 BC patients and 40 PCa patients were analyzed using an ultrasensitive microarray immunoassay with a detection limit of 0.1 pg/ml. It was shown that in BC the sensitivity of determining combination of arrestin with recoverin is 58% (AUC 0.76, 95% CI 0.66-0.86), while in PCa it is 60% (AUC 0.7, 95% CI 0.68-0.88). It has been established that in patients with bladder and prostate cancer who had a positive test, these antigens are not detected in 90% of cases after removal of the tumor. In the future, the obtained results could become the basis for developing new approaches for timely detection of relapses of such diseases and treatment control, as well as for the development of new diagnostic methods.
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Affiliation(s)
- Yuri M Shlyapnikov
- Institute of Theoretical and Experimental Biophysics, Russian Academy of Sciences, Pushchino, 142290, Russia.
| | - Ekaterina A Malakhova
- Institute of Theoretical and Experimental Biophysics, Russian Academy of Sciences, Pushchino, 142290, Russia
| | - Andrey Z Vinarov
- Institute for Urology and Reproductive Health, Sechenov First Moscow State Medical University, Moscow, 119991, Russia
| | - Natalia V Potoldykova
- Institute for Urology and Reproductive Health, Sechenov First Moscow State Medical University, Moscow, 119991, Russia
| | - Vasiliy I Vladimirov
- Shemyakin and Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Moscow, 117437, Russia
| | - Evgeni Yu Zernii
- Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, Moscow, 119992, Russia
| | - Andrey A Zamyatnin
- Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, Moscow, 119992, Russia.,Institute of Molecular Medicine, Sechenov First Moscow State Medical University, Moscow, 119991, Russia.,Department of Biotechnology, Sirius University of Science and Technology, Krasnodar Region, Federal Territory Sirius, 354340, Russia
| | - Elena A Shlyapnikova
- Institute of Theoretical and Experimental Biophysics, Russian Academy of Sciences, Pushchino, 142290, Russia
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Combes AD, Palma CA, Calopedos R, Wen L, Woo H, Fulham M, Leslie S. PSMA PET-CT in the Diagnosis and Staging of Prostate Cancer. Diagnostics (Basel) 2022; 12:2594. [PMID: 36359439 PMCID: PMC9689635 DOI: 10.3390/diagnostics12112594] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Revised: 10/13/2022] [Accepted: 10/24/2022] [Indexed: 08/07/2023] Open
Abstract
Prostate cancer is the most common cancer and the second leading cause of cancer death in men. The imaging assessment and treatment of prostate cancer has vastly improved over the past decade. The introduction of PSMA PET-CT has improved the detection of loco-regional and metastatic disease. PSMA PET-CT also has a role in the primary diagnosis and staging, in detecting biochemical recurrence after curative treatment and in metastasis-directed therapy. In this paper we review the role of PSMA PET-CT in prostate cancer.
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Affiliation(s)
- Alexander D. Combes
- Department of Urology, Royal Prince Alfred Hospital, Sydney, NSW 2050, Australia
| | - Catalina A. Palma
- Department of Urology, Royal Prince Alfred Hospital, Sydney, NSW 2050, Australia
| | - Ross Calopedos
- Department of Urology, Royal Prince Alfred Hospital, Sydney, NSW 2050, Australia
| | - Lingfeng Wen
- Department of Molecular Imaging, Royal Prince Alfred Hospital, Sydney, NSW 2050, Australia
- Faculty of Engineering and Computer Science, University of Sydney, Sydney, NSW 2006, Australia
| | - Henry Woo
- Faculty of Medicine, University of Sydney, Sydney, NSW 2006, Australia
- Department of Urology, Chris O’Brien Lifehouse, Sydney, NSW 2050, Australia
| | - Michael Fulham
- Department of Molecular Imaging, Royal Prince Alfred Hospital, Sydney, NSW 2050, Australia
- Faculty of Medicine, University of Sydney, Sydney, NSW 2006, Australia
| | - Scott Leslie
- Department of Urology, Royal Prince Alfred Hospital, Sydney, NSW 2050, Australia
- Faculty of Medicine, University of Sydney, Sydney, NSW 2006, Australia
- Department of Urology, Chris O’Brien Lifehouse, Sydney, NSW 2050, Australia
- RPA Institute of Academic Surgery, Sydney, NSW 2050, Australia
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Wagaskar VG, Levy M, Ratnani P, Sullimada S, Gerenia M, Schlussel K, Choudhury S, Gabriele M, Haas I, Haines K, Tewari A. A SelectMDx/magnetic resonance imaging-based nomogram to diagnose prostate cancer. Cancer Rep (Hoboken) 2022; 6:e1668. [PMID: 36168681 PMCID: PMC9875685 DOI: 10.1002/cnr2.1668] [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: 09/22/2021] [Revised: 06/13/2022] [Accepted: 06/17/2022] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND 70%-80% of prostate cancer (PCa) biopsies performed in the US annually may be unnecessary. Specific antigen testing (PSA) and tans rectal ultrasound (TRUS) are imprecise predictive methods for risk of PCa. Novel strategies are critical to guide biopsy decision-making. AIM We assessed the utility and accuracy of combining Select MDx and multiparametric magnetic resonance imaging (mpMRI) scores for predicting risk of PCa. METHODS AND RESULTS Our study was conducted at Mount Sinai hospital at Urology department in New York City from January 2020 to April 2021. Total 129 men performed select MDx test. Indications for prostate biopsy were high-risk Select MDx score, suspicious DRE, PI-RADS scores 3/4/5 on mpMRI, or any combination of these. Fifty-one percentage of 129 patients underwent systemic or combined systemic and MRI/US (ultrasound) fusion biopsy; All men underwent 3 T MRI of Prostate w/wo contrast using standard protocols prior to biopsy. A single surgeon performed prostate biopsies. Gleason score ≥3 + 3 on biopsy is defined as outcome. Descriptive statistics were calculated as cross tables. Binary logistic regression model is used to determine the outcome. The nomogram was based on the coefficients of the logit function. ROCs were plotted and decision curve analysis was performed. Using both high-risk Select MDx and PI-RADS scores of 4/5, 87% of biopsies could have been avoided, while detecting 64% of PCa and missing 36%. If biopsies were performed on men with positive Select MDx or PI-RADS 4/5 results, 16% of biopsies could have been avoided while detecting all PCa. Combining these scores improved specificity and accuracy for the detection of PCa over either used alone. Study limitations include limited sample size, sole institution study, and risk or overfitting for the proposed model which may limit generalizability. CONCLUSION Combining SelectMDx and mpMRI PI-PADS scores of 4/5 may be useful for PCa biopsy decision-making.
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Affiliation(s)
- Vinayak G. Wagaskar
- Department of UrologyIcahn School of Medicine at Mount Sinai HospitalNew YorkNew YorkUSA
| | - Micah Levy
- Department of UrologyIcahn School of Medicine at Mount Sinai HospitalNew YorkNew YorkUSA
| | - Parita Ratnani
- Department of UrologyIcahn School of Medicine at Mount Sinai HospitalNew YorkNew YorkUSA
| | - Sharmila Sullimada
- Department of UrologyIcahn School of Medicine at Mount Sinai HospitalNew YorkNew YorkUSA
| | - Mae Gerenia
- Department of UrologyIcahn School of Medicine at Mount Sinai HospitalNew YorkNew YorkUSA
| | - Kacie Schlussel
- Department of UrologyIcahn School of Medicine at Mount Sinai HospitalNew YorkNew YorkUSA
| | - Samia Choudhury
- Department of UrologyIcahn School of Medicine at Mount Sinai HospitalNew YorkNew YorkUSA
| | - Marla Gabriele
- Department of UrologyIcahn School of Medicine at Mount Sinai HospitalNew YorkNew YorkUSA
| | - Ian Haas
- Department of UrologyIcahn School of Medicine at Mount Sinai HospitalNew YorkNew YorkUSA
| | - Kenneth Haines
- Department of PathologyIcahn School of Medicine at Mount Sinai HospitalNew YorkNew YorkUSA
| | - Ash Tewari
- Department of UrologyIcahn School of Medicine at Mount Sinai HospitalNew YorkNew YorkUSA
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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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Combination of PI-RADS score and mRNA urine test—A novel scoring system for improved detection of prostate cancer. PLoS One 2022; 17:e0271981. [PMID: 35960727 PMCID: PMC9374213 DOI: 10.1371/journal.pone.0271981] [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: 12/17/2021] [Accepted: 07/11/2022] [Indexed: 12/24/2022] Open
Abstract
Available tests to detect clinically significant prostate cancer frequently lead to overdiagnosis and overtreatment. Our study assessed the feasibility of combining a urinary biomarker-based risk score (SelectMDx®) and multiparametric MRI outcomes in order to identify patients with prostate cancer on prostate biopsy with increased accuracy and reliability. Samples of 74 men with suspicion of prostate cancer and available multiparametric MRI were analysed in a prospective cross-sectional study design. First-voided urine for determination of HOXC6 and DLX1 mRNA levels was collected after digital rectal examination and prior to MRI/ultrasound fusion-guided prostate biopsy. All multiparametric MRI images were centrally reviewed by two experienced radiologists blinded for urine test results and biopsy outcome. The PI-RADS v2 was used. SelectMDx® score, PI-RADS and Gleason Sore were obtained. Associations between Gleason Score, PI-RADS scores and SelectMDx® were assessed using ANOVA and t-test. Sensitivity and specificity were assessed and evaluated as area-under-the-curve of the receiver operating characteristic. Upon biopsy, 59.5% of patients were diagnosed with prostate cancer, whereby 40.6% had high-grade prostate cancer (GS ≥ 7a). SelectMDx® scores were significantly higher for patients with positive biopsy findings (49.07 ± 25.99% vs. 22.00 ± 26.43%; p < 0.001). SelectMDx® scores increased with higher PI-RADS scores. Combining SelectMDx®, history of prior biopsy with benign histology and PI-RADS scores into a novel scoring system led to significant prostate cancer detection rates with tiered detection rate of 39%, 58%, 81% and 100% for Gleason grade group II, III, IV, and V, respectively. The area-under-the-curve for our novel sum score in receiver operating characteristic analysis was 0.84. The synergistic combination of two non-invasive tests into a sum score with increased sensitivity may help avoiding unnecessary biopsies for initial prostate cancer diagnosis. For confirmation, further prospective studies with larger sample sizes and univariate and multivariate regression analyses and decision curve analyses are required.
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Cani AK, Hu K, Liu CJ, Siddiqui J, Zheng Y, Han S, Nallandhighal S, Hovelson DH, Xiao L, Pham T, Eyrich NW, Zheng H, Vince R, Tosoian JJ, Palapattu GS, Morgan TM, Wei JT, Udager AM, Chinnaiyan AM, Tomlins SA, Salami SS. Development of a Whole-urine, Multiplexed, Next-generation RNA-sequencing Assay for Early Detection of Aggressive Prostate Cancer. Eur Urol Oncol 2022; 5:430-439. [PMID: 33812851 DOI: 10.1016/j.euo.2021.03.002] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2020] [Revised: 02/22/2021] [Accepted: 03/08/2021] [Indexed: 12/15/2022]
Abstract
BACKGROUND Despite biomarker development advances, early detection of aggressive prostate cancer (PCa) remains challenging. We previously developed a clinical-grade urine test (Michigan Prostate Score [MiPS]) for individualized aggressive PCa risk prediction. MiPS combines serum prostate-specific antigen (PSA), the TMPRSS2:ERG (T2:ERG) gene fusion, and PCA3 lncRNA in whole urine after digital rectal examination (DRE). OBJECTIVE To improve on MiPS with a novel next-generation sequencing (NGS) multibiomarker urine assay for early detection of aggressive PCa. DESIGN, SETTING, AND PARTICIPANTS Preclinical development and validation of a post-DRE urine RNA NGS assay (Urine Prostate Seq [UPSeq]) assessing 84 PCa transcriptomic biomarkers, including T2:ERG, PCA3, additional PCa fusions/isoforms, mRNAs, lncRNAs, and expressed mutations. Our UPSeq model was trained on 73 patients and validated on a held-out set of 36 patients representing the spectrum of disease (benign to grade group [GG] 5 PCa). OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS The area under the receiver operating characteristic curve (AUC) of UPSeq was compared with PSA, MiPS, and other existing models/biomarkers for predicting GG ≥3 PCa. RESULTS AND LIMITATIONS UPSeq demonstrated high analytical accuracy and concordance with MiPS, and was able to detect expressed germline HOXB13 and somatic SPOP mutations. In an extreme design cohort (n = 109; benign/GG 1 vs GG ≥3 PCa, stratified to exclude GG 2 cancer in order to capture signal difference between extreme ends of disease), UPSeq showed differential expression for T2:ERG.T1E4 (1.2 vs 78.8 median normalized reads, p < 0.00001) and PCA3 (1024 vs 2521, p = 0.02), additional T2:ERG splice isoforms, and other candidate biomarkers. Using machine learning, we developed a 15-transcript model on the training set (n = 73) that outperformed serum PSA and sequencing-derived MiPS in predicting GG ≥3 PCa in the held-out validation set (n = 36; AUC 0.82 vs 0.69 and 0.69, respectively). CONCLUSIONS These results support the potential utility of our novel urine-based RNA NGS assay to supplement PSA for improved early detection of aggressive PCa. PATIENT SUMMARY We have developed a new urine-based test for the detection of aggressive prostate cancer, which promises improvement upon current biomarker tests.
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Affiliation(s)
- Andi K Cani
- Michigan Center for Translational Pathology, University of Michigan Medical School, Ann Arbor, MI, USA; Molecular and Cellular Pathology Graduate Program, University of Michigan Medical School, Ann Arbor, MI, USA; Department of Pathology, University of Michigan Medical School, Ann Arbor, MI, USA; Rogel Cancer Center, University of Michigan, Ann Arbor, MI, USA
| | - Kevin Hu
- Michigan Center for Translational Pathology, University of Michigan Medical School, Ann Arbor, MI, USA; Department of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Chia-Jen Liu
- Michigan Center for Translational Pathology, University of Michigan Medical School, Ann Arbor, MI, USA; Department of Pathology, University of Michigan Medical School, Ann Arbor, MI, USA; Rogel Cancer Center, University of Michigan, Ann Arbor, MI, USA
| | - Javed Siddiqui
- Michigan Center for Translational Pathology, University of Michigan Medical School, Ann Arbor, MI, USA; Department of Pathology, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Yingye Zheng
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Sumin Han
- Michigan Center for Translational Pathology, University of Michigan Medical School, Ann Arbor, MI, USA; Department of Pathology, University of Michigan Medical School, Ann Arbor, MI, USA
| | | | - Daniel H Hovelson
- Michigan Center for Translational Pathology, University of Michigan Medical School, Ann Arbor, MI, USA; Department of Pathology, University of Michigan Medical School, Ann Arbor, MI, USA; Department of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Lanbo Xiao
- Michigan Center for Translational Pathology, University of Michigan Medical School, Ann Arbor, MI, USA; Department of Pathology, University of Michigan Medical School, Ann Arbor, MI, USA; Rogel Cancer Center, University of Michigan, Ann Arbor, MI, USA
| | - Trinh Pham
- Department of Urology, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Nicholas W Eyrich
- Department of Urology, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Heng Zheng
- Michigan Center for Translational Pathology, University of Michigan Medical School, Ann Arbor, MI, USA; Department of Pathology, University of Michigan Medical School, Ann Arbor, MI, USA; Rogel Cancer Center, University of Michigan, Ann Arbor, MI, USA
| | - Randy Vince
- Department of Urology, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Jeffrey J Tosoian
- Michigan Center for Translational Pathology, University of Michigan Medical School, Ann Arbor, MI, USA; Rogel Cancer Center, University of Michigan, Ann Arbor, MI, USA; Department of Urology, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Ganesh S Palapattu
- Rogel Cancer Center, University of Michigan, Ann Arbor, MI, USA; Department of Urology, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Todd M Morgan
- Rogel Cancer Center, University of Michigan, Ann Arbor, MI, USA; Department of Urology, University of Michigan Medical School, Ann Arbor, MI, USA
| | - John T Wei
- Michigan Center for Translational Pathology, University of Michigan Medical School, Ann Arbor, MI, USA; Department of Urology, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Aaron M Udager
- Michigan Center for Translational Pathology, University of Michigan Medical School, Ann Arbor, MI, USA; Department of Pathology, University of Michigan Medical School, Ann Arbor, MI, USA; Rogel Cancer Center, University of Michigan, Ann Arbor, MI, USA
| | - Arul M Chinnaiyan
- Michigan Center for Translational Pathology, University of Michigan Medical School, Ann Arbor, MI, USA; Molecular and Cellular Pathology Graduate Program, University of Michigan Medical School, Ann Arbor, MI, USA; Department of Pathology, University of Michigan Medical School, Ann Arbor, MI, USA; Rogel Cancer Center, University of Michigan, Ann Arbor, MI, USA; Department of Urology, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Scott A Tomlins
- Michigan Center for Translational Pathology, University of Michigan Medical School, Ann Arbor, MI, USA; Molecular and Cellular Pathology Graduate Program, University of Michigan Medical School, Ann Arbor, MI, USA; Department of Pathology, University of Michigan Medical School, Ann Arbor, MI, USA; Rogel Cancer Center, University of Michigan, Ann Arbor, MI, USA; Department of Urology, University of Michigan Medical School, Ann Arbor, MI, USA.
| | - Simpa S Salami
- Michigan Center for Translational Pathology, University of Michigan Medical School, Ann Arbor, MI, USA; Rogel Cancer Center, University of Michigan, Ann Arbor, MI, USA; Department of Urology, University of Michigan Medical School, Ann Arbor, MI, USA.
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Visser WCH, de Jong H, Steyaert S, Melchers WJG, Mulders PFA, Schalken JA. Clinical use of the mRNA urinary biomarker SelectMDx test for prostate cancer. Prostate Cancer Prostatic Dis 2022; 25:583-589. [PMID: 35810263 PMCID: PMC9385481 DOI: 10.1038/s41391-022-00562-1] [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: 01/07/2022] [Revised: 05/11/2022] [Accepted: 06/10/2022] [Indexed: 11/29/2022]
Abstract
Background Molecular biomarker tests are developed as diagnostic tools for prostate cancer (PCa) diagnosis. The SelectMDx (MDxHealth, Nijmegen, The Netherlands) test is a urinary-based biomarker test intended to be used to predict presence of high-grade PCa upon biopsy in men with elevated serum prostate-specific antigen (PSA) levels. Previous validation of the SelectMDx test revealed that 53% of the unnecessary biopsies (biopsies indicating no- or GG1 PCa) could be avoided using the SelectMDx test as a decision-tool to select men for prostate biopsy. The objective of this study is to examine the use of the commercially available SelectMDx test under routine, real-life practice. Methods Men that underwent a SelectMDx test between May 2019 and December 2020 and that were originating from countries that perform the SelectMDx test on a regular basis were included in this study, resulting in 5157 cases from 10 European countries. Clinical parameters, urinary RNA scores, and test outcomes were compared between PSA groups, age groups, countries, and the validation cohort (described previously [4]) using the Mann–Whitney U test, Chi-Square test, Benjamini–Hochberg and Kruskal–Wallis tests. Results 40.72% of the cases received a negative SelectMDx result. The test is also used in patients outside the intended-use population (PSA < 3 and >10 ng/mL). Clinical parameters (age, PSA density, DRE outcome) varied between patient population from individual countries and the validation cohort, resulting in differences in the potential number of saved biopsies using the test. Conclusions The potential number of reduced biopsies in clinical use was 40,72% using the SelectMDx test, assuming a negative SelectMDx test resulted in the decision not to biopsy the patient. This is higher compared to the validation cohort, which is explained by differences in patient population.
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Affiliation(s)
- Wieke C H Visser
- Department of Product Development, MDxHealth BV, Nijmegen, The Netherlands
| | - Hans de Jong
- Department of Product Development, MDxHealth BV, Nijmegen, The Netherlands
| | - Sandra Steyaert
- Department of Computational Biology, Statistics and AI, VOF dobbio, Zelzate, Belgium
| | - Willem J G Melchers
- Department of Product Development, MDxHealth BV, Nijmegen, The Netherlands.,Department of Medical Microbiology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Peter F A Mulders
- Department of Urology, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Jack A Schalken
- Department of Urology, Radboud University Medical Centre, Nijmegen, The Netherlands.
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Samora NL, Tallman JE, Tosoian JJ. The evolving clinical use of prostate cancer biomarkers. Prostate Cancer Prostatic Dis 2022; 25:386-387. [PMID: 35798854 DOI: 10.1038/s41391-022-00567-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Revised: 05/31/2022] [Accepted: 06/22/2022] [Indexed: 11/09/2022]
Affiliation(s)
- Nathan L Samora
- Department of Urology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jacob E Tallman
- Department of Urology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jeffrey J Tosoian
- Department of Urology, Vanderbilt University Medical Center, Nashville, TN, USA. .,Vanderbilt-Ingram Cancer Center, Nashville, TN, USA.
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Tosoian JJ, Singhal U, Davenport MS, Wei JT, Montgomery JS, George AK, Salami SS, Mukundi SG, Siddiqui J, Kunju LP, Tooke BP, Ryder CY, Dugan SP, Chopra Z, Botbyl R, Feng Y, Sessine MS, Eyrich NW, Ross AE, Trock BJ, Tomlins SA, Palapattu GS, Chinnaiyan AM, Niknafs YS, Morgan TM. Urinary MyProstateScore (MPS) to Rule out Clinically-Significant Cancer in Men with Equivocal (PI-RADS 3) Multiparametric MRI: Addressing an Unmet Clinical Need. Urology 2022; 164:184-190. [PMID: 34906585 PMCID: PMC10171463 DOI: 10.1016/j.urology.2021.11.033] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Revised: 10/27/2021] [Accepted: 11/29/2021] [Indexed: 12/22/2022]
Abstract
OBJECTIVE To evaluate the complementary value of urinary MyProstateScore (MPS) testing and multiparametric MRI (mpMRI) and assess outcomes in patients with equivocal mpMRI. MATERIALS AND METHODS Included patients underwent mpMRI followed by urine collection and prostate biopsy at the University of Michigan between 2015 -2019. MPS values were calculated from urine specimens using the validated model based on serum PSA, urinary PCA3, and urinary TMPRSS2:ERG. In the PI-RADS 3 population, the discriminative accuracy of PSA, PSAD, and MPS for GG≥2 cancer was quantified by the AUC curve. Decision curve analysis was used to assess net benefit of MPS relative to PSAD. RESULTS There were 540 patients that underwent mpMRI and biopsy with MPS available. The prevalence of GG≥2 cancer was 13% for PI-RADS 3, 56% for PI-RADS 4, and 87% for PI-RADS 5. MPS was significantly higher in men with GG≥2 cancer [median 44.9, IQR (29.4 -57.5)] than those with negative or GG1 biopsy [median 29.2, IQR (14.8 -44.2); P <.001] in the overall population and when stratified by PI-RADS score. In the PI-RADS 3 population (n = 121), the AUC for predicting GG≥2 cancer was 0.55 for PSA, 0.62 for PSAD, and 0.73 for MPS. MPS provided the highest net clinical benefit across all pertinent threshold probabilities. CONCLUSION In patients that underwent mpMRI and biopsy, MPS was significantly associated with GG≥2 cancer across all PI-RADS scores. In the PI-RADS 3 population, MPS significantly outperformed PSAD in ruling out GG≥2 cancer. These findings suggest a complementary role of MPS testing in patients that have undergone mpMRI.
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Affiliation(s)
- Jeffrey J Tosoian
- Department of Urology, Vanderbilt University, Nashville, TN; Vanderbilt-Ingram Cancer Center, Nashville, TN; Department of Urology, University of Michigan, Ann Arbor, MI; Rogel Cancer Center, University of Michigan, Ann Arbor, MI; Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI.
| | - Udit Singhal
- Department of Urology, University of Michigan, Ann Arbor, MI; Rogel Cancer Center, University of Michigan, Ann Arbor, MI; Department of Urology, Mayo Clinic, Rochester, MN
| | - Matthew S Davenport
- Department of Urology, University of Michigan, Ann Arbor, MI; Department of Radiology, University of Michigan, Ann Arbor, MI
| | - John T Wei
- Department of Urology, University of Michigan, Ann Arbor, MI
| | - Jeffrey S Montgomery
- Department of Urology, University of Michigan, Ann Arbor, MI; Rogel Cancer Center, University of Michigan, Ann Arbor, MI
| | - Arvin K George
- Department of Urology, University of Michigan, Ann Arbor, MI; Rogel Cancer Center, University of Michigan, Ann Arbor, MI
| | - Simpa S Salami
- Department of Urology, University of Michigan, Ann Arbor, MI; Rogel Cancer Center, University of Michigan, Ann Arbor, MI
| | | | - Javed Siddiqui
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI
| | - Lakshmi P Kunju
- Department of Pathology, University of Michigan, Ann Arbor, MI
| | | | | | - Sarah P Dugan
- University of Michigan Medical School, Ann Arbor, MI
| | - Zoey Chopra
- University of Michigan Medical School, Ann Arbor, MI
| | - Rachel Botbyl
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI
| | - Yilin Feng
- University of Michigan Medical School, Ann Arbor, MI
| | | | | | - Ashley E Ross
- Department of Urology, Northwestern Feinberg School of Medicine, Chicago, IL
| | - Bruce J Trock
- Department of Urology, Johns Hopkins School of Medicine, Baltimore, MD
| | - Scott A Tomlins
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI; Department of Pathology, University of Michigan, Ann Arbor, MI
| | - Ganesh S Palapattu
- Department of Urology, University of Michigan, Ann Arbor, MI; Rogel Cancer Center, University of Michigan, Ann Arbor, MI; Department of Urology, Medical University of Vienna, Vienna, Austria
| | - Arul M Chinnaiyan
- Department of Urology, University of Michigan, Ann Arbor, MI; Rogel Cancer Center, University of Michigan, Ann Arbor, MI; Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI; Department of Pathology, University of Michigan, Ann Arbor, MI; Howard Hughes Medical Institute, University of Michigan, Ann Arbor, MI
| | - Yashar S Niknafs
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI
| | - Todd M Morgan
- Department of Urology, University of Michigan, Ann Arbor, MI; Rogel Cancer Center, University of Michigan, Ann Arbor, MI
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Khosh Kish E, Choudhry M, Gamallat Y, Buharideen SM, D D, Bismar TA. The Expression of Proto-Oncogene ETS-Related Gene ( ERG) Plays a Central Role in the Oncogenic Mechanism Involved in the Development and Progression of Prostate Cancer. Int J Mol Sci 2022; 23:ijms23094772. [PMID: 35563163 PMCID: PMC9105369 DOI: 10.3390/ijms23094772] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Revised: 04/17/2022] [Accepted: 04/22/2022] [Indexed: 02/04/2023] Open
Abstract
The ETS-related gene (ERG) is proto-oncogene that is classified as a member of the ETS transcription factor family, which has been found to be consistently overexpressed in about half of the patients with clinically significant prostate cancer (PCa). The overexpression of ERG can mostly be attributed to the fusion of the ERG and transmembrane serine protease 2 (TMPRSS2) genes, and this fusion is estimated to represent about 85% of all gene fusions observed in prostate cancer. Clinically, individuals with ERG gene fusion are mostly documented to have advanced tumor stages, increased mortality, and higher rates of metastasis in non-surgical cohorts. In the current review, we elucidate ERG’s molecular interaction with downstream genes and the pathways associated with PCa. Studies have documented that ERG plays a central role in PCa progression due to its ability to enhance tumor growth by promoting inflammatory and angiogenic responses. ERG has also been implicated in the epithelial–mesenchymal transition (EMT) in PCa cells, which increases the ability of cancer cells to metastasize. In vivo, research has demonstrated that higher levels of ERG expression are involved with nuclear pleomorphism that prompts hyperplasia and the loss of cell polarity.
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Affiliation(s)
- Ealia Khosh Kish
- Department of Pathology and Laboratory Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB T2V 1P9, Canada; (E.K.K.); (M.C.); (Y.G.); (S.M.B.); (D.D.)
| | - Muhammad Choudhry
- Department of Pathology and Laboratory Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB T2V 1P9, Canada; (E.K.K.); (M.C.); (Y.G.); (S.M.B.); (D.D.)
| | - Yaser Gamallat
- Department of Pathology and Laboratory Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB T2V 1P9, Canada; (E.K.K.); (M.C.); (Y.G.); (S.M.B.); (D.D.)
- Alberta Precision Laboratories, Calgary, AB T2V 1P9, Canada
| | - Sabrina Marsha Buharideen
- Department of Pathology and Laboratory Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB T2V 1P9, Canada; (E.K.K.); (M.C.); (Y.G.); (S.M.B.); (D.D.)
- Alberta Precision Laboratories, Calgary, AB T2V 1P9, Canada
| | - Dhananjaya D
- Department of Pathology and Laboratory Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB T2V 1P9, Canada; (E.K.K.); (M.C.); (Y.G.); (S.M.B.); (D.D.)
- Alberta Precision Laboratories, Calgary, AB T2V 1P9, Canada
| | - Tarek A. Bismar
- Department of Pathology and Laboratory Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB T2V 1P9, Canada; (E.K.K.); (M.C.); (Y.G.); (S.M.B.); (D.D.)
- Alberta Precision Laboratories, Calgary, AB T2V 1P9, Canada
- Departments of Oncology, Biochemistry and Molecular Biology, Calgary, AB T2V 1P9, Canada
- Tom Baker Cancer Center, Arnie Charbonneau Cancer Institute, Calgary, AB T2V 1P9, Canada
- Correspondence: ; Tel.: +1-403-943-8430; Fax: +1-403-943-3333
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Singh SK, Srinivasan A, Mitra S, Gooh Pattader PS. Carbon dots and Methylene blue facilitated photometric quantification of Hemoglobin. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2022; 271:120906. [PMID: 35077978 DOI: 10.1016/j.saa.2022.120906] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Revised: 01/08/2022] [Accepted: 01/13/2022] [Indexed: 06/14/2023]
Abstract
Early detection and monitoring of any abnormality of Hemoglobin (Hb) concentration in whole blood samples are important as this may be related to anemia, leukemia, dengue, etc. To facilitate quantitative detection and to monitor the hemoglobin level in the blood, we attempt to develop a low-cost, portable point of care (POC) device based on the spectrophotometric principle. Optical sensitivities of carbon quantum dots (CDs) are found to be highly responsive, while there is a selective reaction between Hb and reduced form of Methylene Blue (MBred). The interaction of Hb, MBred, and CDs is delineated using UV-Visible (UV-Vis) spectroscopy. CDs have a characteristic UV-Vis peak at ∼ 347 nm, and it shows a gradual increase in intensity with a slight red shift (∼355 nm) on the progressive increase in Hb concentration. Simultaneously, the colorless MBred is oxidized to its blue oxidized form MBox and its characteristic peak starts reappearing at ∼ 663 nm. These responses are exploited to quantify Hb concentration with a limit of detection (LOD) as low as ∼ 2 g dL-1 in a developed POC device, and the results are validated with the clinical data obtained from a local hospital with reasonably good agreement. This photometric detection approach can be adopted for other quantitative biosensors.
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Affiliation(s)
- Sunil Kumar Singh
- Department of Chemical Engineering, Indian Institute of Technology Guwahati, Assam 781039, India
| | - Aishwarya Srinivasan
- Department of Chemical Engineering, Indian Institute of Technology Guwahati, Assam 781039, India
| | - Shirsendu Mitra
- Department of Chemical Engineering, Indian Institute of Technology Guwahati, Assam 781039, India.
| | - Partho Sarathi Gooh Pattader
- Department of Chemical Engineering, Indian Institute of Technology Guwahati, Assam 781039, India; Centre for Nanotechnology, Indian Institute of Technology Guwahati, Assam 781039, India; School of Health Science and Technology, Indian Institute of Technology Guwahati, Assam 781039, India.
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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 Model to Detect Significant Prostate Cancer Integrating Urinary Peptide and Extracellular Vesicle RNA Data. Cancers (Basel) 2022; 14:cancers14081995. [PMID: 35454901 PMCID: PMC9027643 DOI: 10.3390/cancers14081995] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Revised: 04/11/2022] [Accepted: 04/12/2022] [Indexed: 12/12/2022] Open
Abstract
There is a clinical need to improve assessment of biopsy-naïve patients for the presence of clinically significant prostate cancer (PCa). In this study, we investigated whether the robust integration of expression data from urinary extracellular vesicle RNA (EV-RNA) with urine proteomic metabolites can accurately predict PCa biopsy outcome. Urine samples collected within the Movember GAP1 Urine Biomarker study (n = 192) were analysed by both mass spectrometry-based urine-proteomics and NanoString gene-expression analysis (167 gene-probes). Cross-validated LASSO penalised regression and Random Forests identified a combination of clinical and urinary biomarkers for predictive modelling of significant disease (Gleason Score (Gs) ≥ 3 + 4). Four predictive models were developed: ‘MassSpec’ (CE-MS proteomics), ‘EV-RNA’, and ‘SoC’ (standard of care) clinical data models, alongside a fully integrated omics-model, deemed ‘ExoSpec’. ExoSpec (incorporating four gene transcripts, six peptides, and two clinical variables) is the best model for predicting Gs ≥ 3 + 4 at initial biopsy (AUC = 0.83, 95% CI: 0.77−0.88) and is superior to a standard of care (SoC) model utilising clinical data alone (AUC = 0.71, p < 0.001, 1000 resamples). As the ExoSpec Risk Score increases, the likelihood of higher-grade PCa on biopsy is significantly greater (OR = 2.8, 95% CI: 2.1−3.7). The decision curve analyses reveals that ExoSpec provides a net benefit over SoC and could reduce unnecessary biopsies by 30%.
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Sari Motlagh R, Yanagisawa T, Kawada T, Laukhtina E, Rajwa P, Aydh A, König F, Pallauf M, Huebner NA, Baltzer PA, Karakiewicz PI, Heidenreich A, Shariat SF. Accuracy of SelectMDx compared to mpMRI in the diagnosis of prostate cancer: a systematic review and diagnostic meta-analysis. Prostate Cancer Prostatic Dis 2022; 25:187-198. [PMID: 35414118 DOI: 10.1038/s41391-022-00538-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Revised: 03/15/2022] [Accepted: 03/30/2022] [Indexed: 12/18/2022]
Abstract
BACKGROUND The SelectMDx test is a promising biomarker that is developed based on detecting urinary messenger RNA in combination with clinical prostate cancer (PCa) risk factors. We aimed to compare SelectMDx and mpMRI as a diagnostic test in detecting PCa and high grade(HG)-PCa in men suspected to have PCa. METHODS According to PRISMA, a systematic search was performed using major web databases for studies published before September 30, 2021. Studies that compared sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of SelectMDx and/or mpMRI were included. The bivariate random model that plotted sensitivity, specificity, PPV, NPV, and likelihood ratio (LR) for PCa and HG-PCa detection was applied to compare SelectMDx, mpMRI, and combination strategies (both positive and one or both positive). RESULTS Seven studies comprising 1328 patients who had undergone SelectMDx and mpMRI to detect PCa were included. Regarding PCa detection, SelectMDx had a pooled sensitivity of 81%, specificity of 69.8%, PPV of 64.7%, NPV of 85%, and LRs of +2.68 to -0.27, while mpMRI had a pooled sensitivity of 80.8%, specificity of 73.4%, PPV of 72.4%, NPV of 83.5%, and LRs of +3.03 to -0.26. The one or both positive strategy had the highest sensitivity (96.3%), NPV (95.7%), and the lowest -LR (0.06). While the both positive strategy had the highest specificity (80.9%), the PPV (76.5%) and +LR (3.68). In the scenario of PI-RADS 3 lesions not being biopsied in case of a negative SelectMDx (n = 44), unnecessary biopsies would be reduced by 42% (44/105) while the risk of missing HG-PCa would be 9% (4/44). CONCLUSION The performance of SelectMDx is comparable to that of mpMRI with regards to PCa and HG-PCa detection. In addition, this biomarker could help refine the clinical decision-making regarding the necessity of a biopsy in patients suspected to has been PCa.
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Affiliation(s)
- Reza Sari Motlagh
- Department of Urology, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.,Men's Health and Reproductive Health Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Takafumi Yanagisawa
- Department of Urology, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.,Department of Urology, The Jikei University School of Medicine, Tokyo, Japan
| | - Tatsushi Kawada
- Department of Urology, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.,Department of Urology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
| | - Ekaterina Laukhtina
- Department of Urology, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.,Institute for Urology and Reproductive Health, Sechenov University, Moscow, Russia
| | - Pawel Rajwa
- Department of Urology, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.,Department of Urology, Medical University of Silesia, Zabrze, Poland
| | - Abdulmajeed Aydh
- Department of Urology, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.,Department of Urology, King Faisal Medical City, Abha, Saudi Arabia
| | - Frederik König
- Department of Urology, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.,Department of Urology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Maximilan Pallauf
- Department of Urology, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.,Department of Urology, University Hospital Salzburg, Paracelsus Medical University Salzburg, Salzburg, Austria
| | - Nicolai A Huebner
- Department of Urology, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.,Working Group for Diagnostic imaging in Urology (ABDU), Austrian association of Urology (ÖGU), Vienna, Austria
| | - Pascal A Baltzer
- Department of Urology, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.,Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Pierre I Karakiewicz
- Cancer Prognostics and Health outcomes Unit, University of Montreal Health Center, Montreal, QC, Canada
| | - Axel Heidenreich
- Department of Urology, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.,Department of Urology, University Hospital Cologne, Cologne, Germany
| | - Shahrokh F Shariat
- Department of Urology, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria. .,Institute for Urology and Reproductive Health, Sechenov University, Moscow, Russia. .,Department of Urology, Weill Cornell Medical College, New York, NY, USA. .,Department of Urology, University of Texas Southwestern, Dallas, TX, USA. .,Department of Urology, Second Faculty of Medicine, Charles University, Prague, Czech Republic. .,Karl Landsteiner Institute of Urology and Andrology, Vienna, Austria. .,Hourani Center for Applied Scientific Research, Al-Ahliyya Amman University, Amman, Jordan.
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Enhancement of prostate cancer diagnosis by machine learning techniques: an algorithm development and validation study. Prostate Cancer Prostatic Dis 2022; 25:672-676. [PMID: 34267331 DOI: 10.1038/s41391-021-00429-x] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2021] [Revised: 06/25/2021] [Accepted: 07/01/2021] [Indexed: 01/14/2023]
Abstract
BACKGROUND To investigate the value of machine learning(ML) in enhancing prostate cancer(PCa) diagnosis. METHODS Consecutive systematic prostate biopsies performed from Jan 2003-June 2017 were used as the training cohort, and prospective biopsies performed from July 2017-November 2019 were used as validation cohort. Men were included if PSA was 0.4-50 ng/mL, and information of digital rectal examination (DRE), Transrectal ultrasound(TRUS) prostate volume, TRUS abnormality were known. Clinically significant PCa(csPCa) was defined as Gleason 3 + 4 or above cancers. Area-under-curve (AUC) of receiver-operating characteristics (ROC) was compared between PSA, PSA density, European Randomized Study of Screening for Prostate Cancer (ERSPC) risk calculator (ERSPC-RC), and various ML techniques using PSA, DRE and TRUS information. ML techniques used included XGBoost, LightGBM, Catboost, Support vector machine (SVM), Logistic regression (LR), and Random Forest (RF), where cost sensitive learning was applied. RESULTS Training and validation cohorts included 3881 and 778 consecutive men, respectively. RF model performed better than other ML techniques and PSA, PSA density and ERSPC-RC for prediction of PCa or csPCa in the validation cohort. In csPCa prediction, AUC of PSA, PSA density, ERSPC-RC and RF was 0.71, 0.80, 0.83 and 0.88 respectively. At 90-95% sensitivity for csPCa, RF model achieved a negative predictive value (NPV) of 97.5-98.0% and avoided 38.3-52.2% unnecessary biopsies. Decision curve analyses (DCA) showed RF model provided net clinical benefit over PSA, PSA density and ERSPC-RC. CONCLUSION By using the same clinical parameters, ML techniques performed better than ERSPC-RC or PSA density in csPCa predictions, and could avoid up to 50% unnecessary biopsies.
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Ionescu F, Zhang J, Wang L. Clinical Applications of Liquid Biopsy in Prostate Cancer: From Screening to Predictive Biomarker. Cancers (Basel) 2022; 14:1728. [PMID: 35406500 PMCID: PMC8996910 DOI: 10.3390/cancers14071728] [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: 02/23/2022] [Revised: 03/26/2022] [Accepted: 03/27/2022] [Indexed: 01/15/2023] Open
Abstract
Prostate cancer (PC) remains the most common malignancy and the second most common cause of cancer death in men. As a result of highly variable biological behavior and development of resistance to available agents under therapeutic pressure, optimal management is often unclear. Traditional surgical biopsies, even when augmented by genomic studies, may fail to provide adequate guidance for clinical decisions as these can only provide a snapshot of a dynamic process. Additionally, surgical biopsies are cumbersome to perform repeatedly and often involve risk. Liquid biopsies (LB) are defined as the analysis of either corpuscular (circulating tumor cells, extracellular vesicles) or molecular (circulating DNA or RNA) tumor-derived material. LB could more precisely identify clinically relevant alterations that characterize the metastatic potential of tumors, predict response to specific treatments or actively monitor for the emergence of resistance. These tests can potentially be repeated as often as deemed necessary and can detect real-time response to treatment with minimal inconvenience to the patient. In the current review, we consider common clinical scenarios to describe available LB assays in PC as a platform to explore existing evidence for their use in guiding decision making and to discuss current limitations to their adoption in the clinic.
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Affiliation(s)
- Filip Ionescu
- Department of Oncologic Sciences, Morsani College of Medicine, University of South Florida, Tampa, FL 33612, USA;
| | - Jingsong Zhang
- Department of Genitourinary Oncology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL 33612, USA
| | - Liang Wang
- Department of Tumor Biology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL 33612, USA
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Halib N, Pavan N, Trombetta C, Dapas B, Farra R, Scaggiante B, Grassi M, Grassi G. An Overview of siRNA Delivery Strategies for Urological Cancers. Pharmaceutics 2022; 14:pharmaceutics14040718. [PMID: 35456552 PMCID: PMC9030829 DOI: 10.3390/pharmaceutics14040718] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Revised: 03/18/2022] [Accepted: 03/24/2022] [Indexed: 02/05/2023] Open
Abstract
The treatment of urological cancers has been significantly improved in recent years. However, for the advanced stages of these cancers and/or for those developing resistance, novel therapeutic options need to be developed. Among the innovative strategies, the use of small interfering RNA (siRNA) seems to be of great therapeutic interest. siRNAs are double-stranded RNA molecules which can specifically target virtually any mRNA of pathological genes. For this reason, siRNAs have a great therapeutic potential for human diseases including urological cancers. However, the fragile nature of siRNAs in the biological environment imposes the development of appropriate delivery systems to protect them. Thus, ensuring siRNA reaches its deep tissue target while maintaining structural and functional integrity represents one of the major challenges. To reach this goal, siRNA-based therapies require the development of fine, tailor-made delivery systems. Polymeric nanoparticles, lipid nanoparticles, nanobubbles and magnetic nanoparticles are among nano-delivery systems studied recently to meet this demand. In this review, after an introduction about the main features of urological tumors, we describe siRNA characteristics together with representative delivery systems developed for urology applications; the examples reported are subdivided on the basis of the different delivery materials and on the different urological cancers.
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Affiliation(s)
- Nadia Halib
- Department of Basic Sciences & Oral Biology, Faculty of Dentistry, Universiti Sains Islam Malaysia, Kuala Lumpur 55100, Malaysia;
| | - Nicola Pavan
- Urology Clinic, Department of Medical, Surgical and Health Science, University of Trieste, I-34149 Trieste, Italy; (N.P.); (C.T.)
| | - Carlo Trombetta
- Urology Clinic, Department of Medical, Surgical and Health Science, University of Trieste, I-34149 Trieste, Italy; (N.P.); (C.T.)
| | - Barbara Dapas
- Department of Life Sciences, Cattinara University Hospital, Trieste University, Strada di Fiume 447, I-34149 Trieste, Italy; (B.D.); (R.F.); (B.S.)
| | - Rossella Farra
- Department of Life Sciences, Cattinara University Hospital, Trieste University, Strada di Fiume 447, I-34149 Trieste, Italy; (B.D.); (R.F.); (B.S.)
| | - Bruna Scaggiante
- Department of Life Sciences, Cattinara University Hospital, Trieste University, Strada di Fiume 447, I-34149 Trieste, Italy; (B.D.); (R.F.); (B.S.)
| | - Mario Grassi
- Department of Engineering and Architecture, Trieste University, Via Valerio 6, I-34127 Trieste, Italy;
| | - Gabriele Grassi
- Department of Life Sciences, Cattinara University Hospital, Trieste University, Strada di Fiume 447, I-34149 Trieste, Italy; (B.D.); (R.F.); (B.S.)
- Correspondence: ; Tel.: +39-040-399-3227
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Kretschmer A, Kajau H, Margolis E, Tutrone R, Grimm T, Trottmann M, Stief C, Stoll G, Fischer CA, Flinspach C, Albrecht A, Meyer L, Priewasser T, Enderle D, Müller R, Torkler P, Alter J, Skog J, Noerholm M. Validation of a CE-IVD, urine exosomal RNA expression assay for risk assessment of prostate cancer prior to biopsy. Sci Rep 2022; 12:4777. [PMID: 35314720 PMCID: PMC8938406 DOI: 10.1038/s41598-022-08608-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Accepted: 03/09/2022] [Indexed: 12/12/2022] Open
Abstract
Improved risk stratification of patients suspected of prostate cancer prior to biopsy continues to be an unmet clinical need. ExoDx Prostate (IntelliScore) “EPI” is a non-invasive urine test utilizing RNA from exosomes to provide a risk score that correlates with the likelihood of finding high grade prostate cancer at biopsy. Here, we present the results from a prospective clinical validation study of EPI-CE, a CE-marked in-vitro diagnostic (IVD) assay, specifically developed for use in European clinical laboratories. The study (NCT04720599) enrolled patients with ≥ 50 years, PSA 2–10 ng/mL, prior to MRI, who were scheduled for initial biopsy. First catch urine samples were collected from participants without prior digital rectal examination or prostate massage. Exosomal RNA was isolated and expression levels of three biomarkers ERG, PCA3 and SPDEF were analyzed according to the EPI-CE Instructions For Use. In the study cohort of N = 109 patients, EPI-CE was validated to have a Negative Predictive Value of 89%, a Sensitivity of 92% and a superior performance to two commonly used multiparametric risk calculators (PCPT and ERSPC) in both Receiver Operating Characteristics with a higher Area Under the Curve for EPI-CE 0.67 (95% CI 0.56–0.77) versus PCPT 0.59 (95% CI 0.47–0.71) and ERSPC 0.60 (95% CI 0.49–0.72) and higher Net Benefits analysis across a wide range of risk acceptance levels. This is the first clinical study reporting on the performance of EPI-CE. We demonstrate that EPI-CE provides information beyond standard clinical parameters and provides a better risk assessment prior to MRI, of patients suspected of prostate cancer, than the commonly used multiparametric risk calculators.
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