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Sobhani N, Sirico M, Generali D, Zanconati F, Scaggiante B. Circulating cell-free nucleic acids as prognostic and therapy predictive tools for metastatic castrate-resistant prostate cancer. World J Clin Oncol 2020; 11:450-463. [PMID: 32821651 PMCID: PMC7407926 DOI: 10.5306/wjco.v11.i7.450] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2020] [Revised: 05/24/2020] [Accepted: 05/28/2020] [Indexed: 02/06/2023] Open
Abstract
Metastatic castrate-resistant prostate cancer remains a disease hard to cure, and for this reason predictive tools to monitor disease progression and therapy response are an urgent need. In this respect, liquid biopsy on circulating cell-free nucleic acids represents an interesting strategy based on robust data. The low invasiveness and the possibility to target circulating cell-free tumor deoxyribonucleic acid underline the high specificity, sensitivity and clinical usability of the technique. Moreover, it has been observed that the cell-free tumor deoxyribonucleic acid of metastatic castrate-resistant prostate cancer patients can be representative of the tumor heterogeneity. Cell-free tumor deoxyribonucleic acids express the same behaviors as mutations: Variation in gene copy number or the methylation rate of the tumor tissue. Recently, circulating cell-free ribonucleic acid molecules have emerged as interesting markers to stratify the disease. Due to high-throughput technologies, liquid biopsy on circulating cell-free nucleic acids will soon be utilized in the clinical management of metastatic castrate-resistant prostate cancer patients.
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Affiliation(s)
- Navid Sobhani
- Texas Medical Centre, Baylor College of Medicine, Alkek Building, Houston, TX 77030, United States
| | - Marianna Sirico
- Multidisciplinary Operative Unit of Mammary Pathology and Translational Research, ASST of Cremona, Cremona 26100, Italy
| | - Daniele Generali
- Multidisciplinary Operative Unit of Mammary Pathology and Translational Research, ASST of Cremona, Cremona 26100, Italy
- Department of Medical, Surgical and Health Sciences, University of Trieste, Cattinara Academic Hospital, Trieste 34149, Italy
| | - Fabrizio Zanconati
- Department of Medical, Surgical and Health Sciences, University of Trieste, Cattinara Academic Hospital, Trieste 34149, Italy
| | - Bruna Scaggiante
- Department of Life Sciences, University of Trieste, Trieste 34127, Italy
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Poulsen MH, Feddersen S, Albitar M, Poulsen CA, Lund M, Pedersen TB, Mortensen MA, Lund L. A prospective study of a urine and plasma biomarker test for the prediction of gleason ≥3 + 4 prostate cancer in a mixed cohort. Scand J Urol 2020; 54:323-327. [PMID: 32608296 DOI: 10.1080/21681805.2020.1782979] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Purpose: Definitive diagnosis of prostate cancer is based on biopsies, a procedure associated with side-effects. The use of biomarkers in blood and urine could potentially help clinicians select patients for whom biopsies are needed. The aim of the study was to test a new urine and plasma biomarker test in detecting medium and high grade prostate cancer.Materials and methods: Blood and urine samples were prospectively collected from 41 patients prior to prostate biopsy or TUR-P and again after 3 months. The cohort included patients with suspicion of prostate cancer and patients with prior prostate cancer diagnosis. The mRNA expression of ten selected genes measured by PCR were used together with clinical data in multiple algorithms for prediction of medium-high grade prostate cancer in prostate biopsies. The testing was originally developed and validated in the USA. The method was transferred to a local Danish laboratory. Medium and high grade cancer was defined as Gleason score ≥ 3 + 4.Results: Using the biomarker test, prior to any prostate procedures, the sensitivity for detecting medium-high grade prostate cancer was 100% and the specificity was 56% and 63%, depending on the cut-off point used. When using the biomarker test, following biopsy or TUR-P, the sensitivity and specificity were reduced to 89% and 28-34% respectively. When comparing results, there was a significant difference (p < 0.05), favoring the test performed prior to the procedures.Conclusions: We were able to predict the presence of medium-high grade prostate cancer, thereby confirming earlier findings of the biomarker test.
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Affiliation(s)
- Mads Hvid Poulsen
- Department of Urology, Odense University Hospital, Odense, Denmark.,Academy of Geriatric Cancer Research (AgeCare), Odense University Hospital, Odense, Denmark.,Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Søren Feddersen
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark.,Department of Clinical Biochemistry and Pharmacology, Odense University Hospital, Odense, Denmark
| | - Maher Albitar
- Research and Development Department, NeoGenomics Laboratories, Carlsbad, CA, USA
| | | | - Martin Lund
- Department of Urology, Odense University Hospital, Odense, Denmark
| | | | - Mike Allan Mortensen
- Department of Urology, Odense University Hospital, Odense, Denmark.,Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Lars Lund
- Department of Urology, Odense University Hospital, Odense, Denmark.,Academy of Geriatric Cancer Research (AgeCare), Odense University Hospital, Odense, Denmark.,Department of Clinical Research, University of Southern Denmark, Odense, Denmark
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Abraham B, Nair MS. Computer-aided grading of prostate cancer from MRI images using Convolutional Neural Networks. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2019. [DOI: 10.3233/jifs-169913] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Affiliation(s)
- Bejoy Abraham
- Department of Computer Science, University of Kerala, Kariavattom, Thiruvananthapuram 695581, Kerala, India
- Department of Computer Science and Engineering, College of Engineering Perumon, Kollam 691601, Kerala, India
| | - Madhu S. Nair
- Department of Computer Science, Cochin University of Science and Technology, Kochi 682022, Kerala, India
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