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Parker G, Hunter S, Ghazi S, Hayeems RZ, Rousseau F, Miller FA. Decision impact studies, evidence of clinical utility for genomic assays in cancer: A scoping review. PLoS One 2023; 18:e0280582. [PMID: 36897859 PMCID: PMC10004522 DOI: 10.1371/journal.pone.0280582] [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: 08/14/2022] [Accepted: 01/03/2023] [Indexed: 03/11/2023] Open
Abstract
BACKGROUND Decision impact studies have become increasingly prevalent in cancer prognostic research in recent years. These studies aim to evaluate the impact of a genomic test on decision-making and appear to be a new form of evidence of clinical utility. The objectives of this review were to identify and characterize decision impact studies in genomic medicine in cancer care and categorize the types of clinical utility outcomes reported. METHODS We conducted a search of four databases, Medline, Embase, Scopus and Web of Science, from inception to June 2022. Empirical studies that reported a "decision impact" assessment of a genomic assay on treatment decisions or recommendations for cancer patients were included. We followed scoping review methodology and adapted the Fryback and Thornbury Model to collect and analyze data on clinical utility. The database searches identified 1803 unique articles for title/abstract screening; 269 articles moved to full-text review. RESULTS 87 studies met inclusion criteria. All studies were published in the last 12 years with the majority for breast cancer (72%); followed by other cancers (28%) (lung, prostate, colon). Studies reported on the impact of 19 different proprietary (18) and generic (1) assays. Across all four levels of clinical utility, outcomes were reported for 22 discrete measures, including the impact on provider/team decision-making (100%), provider confidence (31%); change in treatment received (46%); patient psychological impacts (17%); and costing or savings impacts (21%). Based on the data synthesis, we created a comprehensive table of outcomes reported for clinical utility. CONCLUSIONS This scoping review is a first step in understanding the evolution and uses of decision impact studies and their influence on the integration of emerging genomic technologies in cancer care. The results imply that DIS are positioned to provide evidence of clinical utility and impact clinical practice and reimbursement decision-making in cancer care. Systematic review registration: Open Science Framework osf.io/hm3jr.
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Affiliation(s)
- Gillian Parker
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
| | - Sarah Hunter
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
| | - Samer Ghazi
- Lawrence S. Bloomberg Faculty of Nursing, University of Toronto, Toronto, Ontario, Canada
| | - Robin Z. Hayeems
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
- Child Health Evaluative Sciences Program, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Francois Rousseau
- Department of Molecular Biology, Medical Biochemistry, and Pathology, Faculty of Medicine, Université Laval, Québec City, Québec, Canada
| | - Fiona A. Miller
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
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2
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Spohn SKB, Draulans C, Kishan AU, Spratt D, Ross A, Maurer T, Tilki D, Berlin A, Blanchard P, Collins S, Bronsert P, Chen R, Pra AD, de Meerleer G, Eade T, Haustermans K, Hölscher T, Höcht S, Ghadjar P, Davicioni E, Heck M, Kerkmeijer LGW, Kirste S, Tselis N, Tran PT, Pinkawa M, Pommier P, Deltas C, Schmidt-Hegemann NS, Wiegel T, Zilli T, Tree AC, Qiu X, Murthy V, Epstein JI, Graztke C, Gao X, Grosu AL, Kamran SC, Zamboglou C. Genomic Classifiers in Personalized Prostate Cancer Radiation Therapy Approaches: A Systematic Review and Future Perspectives Based on International Consensus. Int J Radiat Oncol Biol Phys 2022:S0360-3016(22)03691-4. [PMID: 36596346 DOI: 10.1016/j.ijrobp.2022.12.038] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Revised: 12/09/2022] [Accepted: 12/24/2022] [Indexed: 01/01/2023]
Abstract
Current risk-stratification systems for prostate cancer (PCa) do not sufficiently reflect the disease heterogeneity. Genomic classifiers (GC) enable improved risk stratification after surgery, but less data exist for patients treated with definitive radiation therapy (RT) or RT in oligo-/metastatic disease stages. To guide future perspectives of GCs for RT, we conducted (1) a systematic review on the evidence of GCs for patients treated with RT and (2) a survey of experts using the Delphi method, addressing the role of GCs in personalized treatments to identify relevant fields of future clinical and translational research. We performed a systematic review and screened ongoing clinical trials on ClinicalTrials.gov. Based on these results, a multidisciplinary international team of experts received an adapted Delphi method survey. Thirty-one and 30 experts answered round 1 and round 2, respectively. Questions with ≥75% agreement were considered relevant and included in the qualitative synthesis. Evidence for GCs as predictive biomarkers is mainly available to the postoperative RT setting. Validation of GCs as prognostic markers in the definitive RT setting is emerging. Experts used GCs in patients with PCa with extensive metastases (30%), in postoperative settings (27%), and in newly diagnosed PCa (23%). Forty-seven percent of experts do not currently use GCs in clinical practice. Expert consensus demonstrates that GCs are promising tools to improve risk-stratification in primary and oligo-/metastatic patients in addition to existing classifications. Experts were convinced that GCs might guide treatment decisions in terms of RT-field definition and intensification/deintensification in various disease stages. This work confirms the value of GCs and the promising evidence of GC utility in the setting of RT. Additional studies of GCs as prognostic biomarkers are anticipated and form the basis for future studies addressing predictive capabilities of GCs to optimize RT and systemic therapy. The expert consensus points out future directions for GC research in the management of PCa.
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Affiliation(s)
- Simon K B Spohn
- Department of Radiation Oncology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany; German Cancer Consortium (DKTK), Partner Site Freiburg, Freiburg, Germany; Berta-Ottenstein-Programme, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
| | - Cédric Draulans
- Department of Radiation Oncology, University Hospitals Leuven, Belgium; Department of Oncology, KU Leuven, Belgium
| | - Amar U Kishan
- Departments of Radiation Oncology and Urology, University of California, Los Angeles, California
| | - Daniel Spratt
- Department of Radiation Oncology, UH Seidman Cancer Center, Case Western Reserve University
| | - Ashley Ross
- Department of Urology, Northwestern Feinberg School of Medicine, Chicago, Illinois
| | - Tobias Maurer
- Martini-Klinik Prostate Cancer Center, Department of Urology, University Hospital Hamburg-Eppendorf, Hamburg, Germany
| | - Derya Tilki
- Martini-Klinik Prostate Cancer Center, Department of Urology, University Hospital Hamburg-Eppendorf, Hamburg, Germany; Department of Urology, Koc University Hospital, Istanbul, Turkey
| | - Alejandro Berlin
- Department of Radiation Oncology, Temerty Faculty of Medicine, University of Toronto, and Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network. Toronto, Canada
| | - Pierre Blanchard
- Department of Radiation Oncology, Gustave Roussy, Oncostat U1018, Inserm, Paris-Saclay University, Villejuif, France
| | - Sean Collins
- Department of Radiation Medicine, Medstar Georgetown University Hospital, Washington, DC
| | - Peter Bronsert
- Institute for Surgical Pathology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Ronald Chen
- Department of Radiation Oncology, University of Kansas Cancer Center, Kansas City, Kansas
| | - Alan Dal Pra
- Department of Radiation Oncology, University of Miami, Miller School of Medicine
| | - Gert de Meerleer
- Department of Radiation Oncology, University Hospitals Leuven, Belgium; Department of Oncology, KU Leuven, Belgium
| | - Thomas Eade
- Northern Sydney Cancer Centre, Radiation Oncology Unit, Royal North Shore Hospital, Sydney, New South Wales, Australia
| | - Karin Haustermans
- Department of Radiation Oncology, University Hospitals Leuven, Belgium; Department of Oncology, KU Leuven, Belgium
| | - Tobias Hölscher
- Department of Radiotherapy and Radiation Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Stefan Höcht
- Xcare Practices Dept. Radiotherapy, Saarlouis, Germany
| | - Pirus Ghadjar
- Department of Radiation Oncology, Charité-Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin
| | | | - Matthias Heck
- Department of Urology, Rechts der Isar Medical Center, Technical University of Munich, Germany
| | - Linda G W Kerkmeijer
- Department of Radiation Oncology, Radboud University Medical Center, The Netherlands
| | - Simon Kirste
- Department of Radiation Oncology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany; German Cancer Consortium (DKTK), Partner Site Freiburg, Freiburg, Germany
| | - Nikolaos Tselis
- Department of Radiation Oncology, University Hospital Johann Wolfgang Goethe University, Frankfurt, Germany
| | - Phuoc T Tran
- Department of Radiation Oncology, University of Maryland
| | - Michael Pinkawa
- Department of Radiation Oncology, MediClin Robert Janker Klinik Bonn, Germany
| | - Pascal Pommier
- Department of Radiation Oncology, Centre Léon Bérard, Lyon, France
| | - Constantinos Deltas
- Molecular Medicine Research Center and Laboratory of Molecular and Medical Genetics, Department of Biological Sciences, University of Cyprus, Nicosia, Cyprus
| | | | - Thomas Wiegel
- Department of Radiation Oncology, University Hospital Ulm, Ulm, Germany
| | - Thomas Zilli
- Department of Radiation Oncology, Geneva University Hospital, Geneva, Switzerland
| | - Alison C Tree
- Department of Radiotherapy, Royal Marsden Hospital and the Institute of Cancer Research, London, United Kingdom
| | - Xuefeng Qiu
- Department of Urology, Medical School of Nanjing University, Affiliated Drum Tower Hospital, Nanjing, China
| | - Vedang Murthy
- Department of Radiation Oncology, ACTREC, Tata Memorial Centre, Homi Bhabha National University, India
| | - Jonathan I Epstein
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Christian Graztke
- Department of Urology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Xin Gao
- Department of Internal Medicine, Division of Hematology and Oncology, Massachusetts General Hospital, Boston, Massachusetts
| | - Anca L Grosu
- Department of Radiation Oncology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany; German Cancer Consortium (DKTK), Partner Site Freiburg, Freiburg, Germany
| | - Sophia C Kamran
- Department of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts; Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Constantinos Zamboglou
- Department of Radiation Oncology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany; German Cancer Consortium (DKTK), Partner Site Freiburg, Freiburg, Germany; Berta-Ottenstein-Programme, Faculty of Medicine, University of Freiburg, Freiburg, Germany; German Oncology Center, European University of Cyprus, Limassol, Cyprus
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Vujicic I, Rusevski A, Stankov O, Popov Z, Dimovski A, Davalieva K. Potential Role of Seven Proteomics Tissue Biomarkers for Diagnosis and Prognosis of Prostate Cancer in Urine. Diagnostics (Basel) 2022; 12:diagnostics12123184. [PMID: 36553191 PMCID: PMC9777474 DOI: 10.3390/diagnostics12123184] [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: 11/02/2022] [Revised: 12/09/2022] [Accepted: 12/12/2022] [Indexed: 12/23/2022] Open
Abstract
As the currently available tests for the clinical management of prostate cancer (PCa) are still far from providing precise diagnosis and risk stratification, the identification of new molecular marker(s) remains a pertinent clinical need. Candidate PCa biomarkers from the published proteomic comparative studies of prostate tissue (2002-2020) were collected and systematically evaluated. AZGP1, MDH2, FABP5, ENO1, GSTP1, GSTM2, and EZR were chosen for further evaluation in the urine of 85 PCa patients and controls using ELISA. Statistically significant differences in protein levels between PCa and BPH showed FABP5 (p = 0.019) and ENO1 (p = 0.015). A biomarker panel based on the combination of FABP5, ENO1, and PSA provided the highest accuracy (AUC = 0.795) for PCa detection. The combination of FABP5, EZR, AZGP1, and MDH2 showed AUC = 0.889 in PCa prognosis, with 85.29% of the samples correctly classified into low and high Gleason score (GS) groups. The addition of PSA to the panel slightly increased the AUC to 0.914. AZGP1, FABP5, and EZR showed significant correlation with GS, stage, and percentage of positive biopsy cores. Although validation using larger patient cohorts will be necessary to establish the credibility of the proposed biomarker panels in a clinical context, this study opens a way for the further testing of more high-quality proteomics biomarkers, which could ultimately add value to the clinical management of PCa.
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Affiliation(s)
- Ivo Vujicic
- University Clinic for Urology, University Clinical Centre “Mother Theresa”, 1000 Skopje, North Macedonia
| | - Aleksandar Rusevski
- Research Centre for Genetic Engineering and Biotechnology “Georgi D Efremov”, Macedonian Academy of Sciences and Arts, 1000 Skopje, North Macedonia
| | - Oliver Stankov
- University Clinic for Urology, University Clinical Centre “Mother Theresa”, 1000 Skopje, North Macedonia
| | - Zivko Popov
- Clinical Hospital “Acibadem Sistina”, 1000 Skopje, North Macedonia
- Medical Faculty, University “St. Cyril and Methodius”, 1000 Skopje, North Macedonia
- Macedonian Academy of Sciences and Arts, 1000 Skopje, North Macedonia
| | - Aleksandar Dimovski
- Research Centre for Genetic Engineering and Biotechnology “Georgi D Efremov”, Macedonian Academy of Sciences and Arts, 1000 Skopje, North Macedonia
- Faculty of Pharmacy, University “St. Cyril and Methodius”, 1000 Skopje, North Macedonia
| | - Katarina Davalieva
- Research Centre for Genetic Engineering and Biotechnology “Georgi D Efremov”, Macedonian Academy of Sciences and Arts, 1000 Skopje, North Macedonia
- Correspondence:
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Pantazopoulos H, Diop MK, Grosset AA, Rouleau-Gagné F, Al-Saleh A, Boblea T, Trudel D. Intraductal Carcinoma of the Prostate as a Cause of Prostate Cancer Metastasis: A Molecular Portrait. Cancers (Basel) 2022; 14:820. [PMID: 35159086 PMCID: PMC8834356 DOI: 10.3390/cancers14030820] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Revised: 02/01/2022] [Accepted: 02/02/2022] [Indexed: 02/01/2023] Open
Abstract
Intraductal carcinoma of the prostate (IDC-P) is one of the most aggressive types of prostate cancer (PCa). IDC-P is identified in approximately 20% of PCa patients and is associated with recurrence, metastasis, and PCa-specific death. The main feature of this histological variant is the colonization of benign glands by PCa cells. Although IDC-P is a well-recognized independent parameter for metastasis, mechanisms by which IDC-P cells can spread and colonize other tissues are not fully known. In this review, we discuss the molecular portraits of IDC-P determined by immunohistochemistry and genomic approaches and highlight the areas in which more research is needed.
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Affiliation(s)
- Helen Pantazopoulos
- Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM), 900 Saint-Denis, Montreal, QC H2X 0A9, Canada; (H.P.); (M.-K.D.); (A.-A.G.); (F.R.-G.); (A.A.-S.); (T.B.)
- Institut du Cancer de Montréal, 900 Saint-Denis, Montreal, QC H2X 0A9, Canada
- Department of Pathology and Cellular Biology, Université de Montréal, 2900 Boulevard Édouard-Montpetit, Montreal, QC H3T 1J4, Canada
| | - Mame-Kany Diop
- Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM), 900 Saint-Denis, Montreal, QC H2X 0A9, Canada; (H.P.); (M.-K.D.); (A.-A.G.); (F.R.-G.); (A.A.-S.); (T.B.)
- Institut du Cancer de Montréal, 900 Saint-Denis, Montreal, QC H2X 0A9, Canada
- Department of Pathology and Cellular Biology, Université de Montréal, 2900 Boulevard Édouard-Montpetit, Montreal, QC H3T 1J4, Canada
| | - Andrée-Anne Grosset
- Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM), 900 Saint-Denis, Montreal, QC H2X 0A9, Canada; (H.P.); (M.-K.D.); (A.-A.G.); (F.R.-G.); (A.A.-S.); (T.B.)
- Institut du Cancer de Montréal, 900 Saint-Denis, Montreal, QC H2X 0A9, Canada
- Department of Pathology and Cellular Biology, Université de Montréal, 2900 Boulevard Édouard-Montpetit, Montreal, QC H3T 1J4, Canada
| | - Frédérique Rouleau-Gagné
- Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM), 900 Saint-Denis, Montreal, QC H2X 0A9, Canada; (H.P.); (M.-K.D.); (A.-A.G.); (F.R.-G.); (A.A.-S.); (T.B.)
- Institut du Cancer de Montréal, 900 Saint-Denis, Montreal, QC H2X 0A9, Canada
- Department of Pathology and Cellular Biology, Université de Montréal, 2900 Boulevard Édouard-Montpetit, Montreal, QC H3T 1J4, Canada
| | - Afnan Al-Saleh
- Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM), 900 Saint-Denis, Montreal, QC H2X 0A9, Canada; (H.P.); (M.-K.D.); (A.-A.G.); (F.R.-G.); (A.A.-S.); (T.B.)
- Institut du Cancer de Montréal, 900 Saint-Denis, Montreal, QC H2X 0A9, Canada
- Department of Pathology and Cellular Biology, Université de Montréal, 2900 Boulevard Édouard-Montpetit, Montreal, QC H3T 1J4, Canada
| | - Teodora Boblea
- Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM), 900 Saint-Denis, Montreal, QC H2X 0A9, Canada; (H.P.); (M.-K.D.); (A.-A.G.); (F.R.-G.); (A.A.-S.); (T.B.)
- Institut du Cancer de Montréal, 900 Saint-Denis, Montreal, QC H2X 0A9, Canada
| | - Dominique Trudel
- Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM), 900 Saint-Denis, Montreal, QC H2X 0A9, Canada; (H.P.); (M.-K.D.); (A.-A.G.); (F.R.-G.); (A.A.-S.); (T.B.)
- Institut du Cancer de Montréal, 900 Saint-Denis, Montreal, QC H2X 0A9, Canada
- Department of Pathology and Cellular Biology, Université de Montréal, 2900 Boulevard Édouard-Montpetit, Montreal, QC H3T 1J4, Canada
- Department of Pathology, Centre Hospitalier de l’Université de Montréal (CHUM), 1051 Sanguinet, Montreal, QC H2X 0C1, Canada
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Meehan J, Gray M, Martínez-Pérez C, Kay C, McLaren D, Turnbull AK. Tissue- and Liquid-Based Biomarkers in Prostate Cancer Precision Medicine. J Pers Med 2021; 11:jpm11070664. [PMID: 34357131 PMCID: PMC8306523 DOI: 10.3390/jpm11070664] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Revised: 07/06/2021] [Accepted: 07/13/2021] [Indexed: 12/24/2022] Open
Abstract
Worldwide, prostate cancer (PC) is the second-most-frequently diagnosed male cancer and the fifth-most-common cause of all cancer-related deaths. Suspicion of PC in a patient is largely based upon clinical signs and the use of prostate-specific antigen (PSA) levels. Although PSA levels have been criticised for a lack of specificity, leading to PC over-diagnosis, it is still the most commonly used biomarker in PC management. Unfortunately, PC is extremely heterogeneous, and it can be difficult to stratify patients whose tumours are unlikely to progress from those that are aggressive and require treatment intensification. Although PC-specific biomarker research has previously focused on disease diagnosis, there is an unmet clinical need for novel prognostic, predictive and treatment response biomarkers that can be used to provide a precision medicine approach to PC management. In particular, the identification of biomarkers at the time of screening/diagnosis that can provide an indication of disease aggressiveness is perhaps the greatest current unmet clinical need in PC management. Largely through advances in genomic and proteomic techniques, exciting pre-clinical and clinical research is continuing to identify potential tissue, blood and urine-based PC-specific biomarkers that may in the future supplement or replace current standard practices. In this review, we describe how PC-specific biomarker research is progressing, including the evolution of PSA-based tests and those novel assays that have gained clinical approval. We also describe alternative diagnostic biomarkers to PSA, in addition to biomarkers that can predict PC aggressiveness and biomarkers that can predict response to certain therapies. We believe that novel biomarker research has the potential to make significant improvements to the clinical management of this disease in the near future.
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Affiliation(s)
- James Meehan
- Translational Oncology Research Group, Institute of Genetics and Cancer, Western General Hospital, University of Edinburgh, Edinburgh EH4 2XU, UK; (C.M.-P.); (C.K.); (A.K.T.)
- Correspondence:
| | - Mark Gray
- The Royal (Dick) School of Veterinary Studies and Roslin Institute, University of Edinburgh, Midlothian EH25 9RG, UK;
| | - Carlos Martínez-Pérez
- Translational Oncology Research Group, Institute of Genetics and Cancer, Western General Hospital, University of Edinburgh, Edinburgh EH4 2XU, UK; (C.M.-P.); (C.K.); (A.K.T.)
- Breast Cancer Now Edinburgh Research Team, Institute of Genetics and Cancer, Western General Hospital, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Charlene Kay
- Translational Oncology Research Group, Institute of Genetics and Cancer, Western General Hospital, University of Edinburgh, Edinburgh EH4 2XU, UK; (C.M.-P.); (C.K.); (A.K.T.)
- Breast Cancer Now Edinburgh Research Team, Institute of Genetics and Cancer, Western General Hospital, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Duncan McLaren
- Edinburgh Cancer Centre, Western General Hospital, NHS Lothian, Edinburgh EH4 2XU, UK;
| | - Arran K. Turnbull
- Translational Oncology Research Group, Institute of Genetics and Cancer, Western General Hospital, University of Edinburgh, Edinburgh EH4 2XU, UK; (C.M.-P.); (C.K.); (A.K.T.)
- Breast Cancer Now Edinburgh Research Team, Institute of Genetics and Cancer, Western General Hospital, University of Edinburgh, Edinburgh EH4 2XU, UK
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Pastor-Navarro B, Rubio-Briones J, Borque-Fernando Á, Esteban LM, Dominguez-Escrig JL, López-Guerrero JA. Active Surveillance in Prostate Cancer: Role of Available Biomarkers in Daily Practice. Int J Mol Sci 2021; 22:6266. [PMID: 34200878 PMCID: PMC8230496 DOI: 10.3390/ijms22126266] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Revised: 05/03/2021] [Accepted: 06/08/2021] [Indexed: 12/21/2022] Open
Abstract
Prostate cancer (PCa) is the most commonly diagnosed cancer in men. The diagnosis is currently based on PSA levels, which are associated with overdiagnosis and overtreatment. Moreover, most PCas are localized tumours; hence, many patients with low-/very low-risk PCa could benefit from active surveillance (AS) programs instead of more aggressive, active treatments. Heterogeneity within inclusion criteria and follow-up strategies are the main controversial issues that AS presently faces. Many biomarkers are currently under investigation in this setting; however, none has yet demonstrated enough diagnostic ability as an independent predictor of pathological or clinical progression. This work aims to review the currently available literature on tissue, blood and urine biomarkers validated in clinical practice for the management of AS patients.
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Affiliation(s)
- Belén Pastor-Navarro
- Laboratory of Molecular Biology, Fundación Instituto Valenciano de Oncología (IVO), 46009 Valencia, Spain;
- Príncipe Felipe Research Center (CIPF), IVO-CIPF Joint Research Unit of Cancer, 46012 Valencia, Spain
| | - José Rubio-Briones
- Department of Urology, Fundación Instituto Valenciano de Oncología (IVO), 46009 Valencia, Spain; (J.R.-B.); (J.L.D.-E.)
| | - Ángel Borque-Fernando
- Department of Urology, University Hospital Miguel Servet, IIS-Aragón, 50009 Zaragoza, Spain;
| | - Luis M. Esteban
- Department of Applied Mathematics, Engineering School of La Almunia, University of Zaragoza, 50100 Zaragoza, Spain;
| | - Jose Luis Dominguez-Escrig
- Department of Urology, Fundación Instituto Valenciano de Oncología (IVO), 46009 Valencia, Spain; (J.R.-B.); (J.L.D.-E.)
| | - José Antonio López-Guerrero
- Laboratory of Molecular Biology, Fundación Instituto Valenciano de Oncología (IVO), 46009 Valencia, Spain;
- Príncipe Felipe Research Center (CIPF), IVO-CIPF Joint Research Unit of Cancer, 46012 Valencia, Spain
- Department of Pathology, School of Medicine, Catholic University of Valencia ‘San Vicente Martir’, 46001 Valencia, Spain
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7
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Genomic Strategies to Personalize Use of Androgen Deprivation Therapy With Radiotherapy. ACTA ACUST UNITED AC 2021; 26:13-20. [PMID: 31977380 DOI: 10.1097/ppo.0000000000000419] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
The use of combination RT and androgen deprivation therapy in many prostate cancer curative-intent treatment scenarios is supported by level 1 evidence. However, in our current clinical paradigm, we have no ability to determine a priori which patients truly benefit from combination therapy and therefore apply the combination RT and androgen deprivation therapy intensification strategy to all patients, which results in overtreatment or undertreatment of the majority of our patients. Genomics has the ability to more deeply and objectively characterize the disease, in turn refining our prognostication capabilities and enabling the individualization of treatments. We review the commercially available prostate cancer genomic tests, focusing on those able to predict patient outcomes following radiotherapy or guide radiotherapy treatment decisions.
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Effect of genetics clinical decision support tools on health-care providers’ decision making: a mixed-methods systematic review. Genet Med 2021; 23:593-602. [DOI: 10.1038/s41436-020-01045-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Revised: 11/12/2020] [Accepted: 11/13/2020] [Indexed: 02/05/2023] Open
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9
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Tonry C, Finn S, Armstrong J, Pennington SR. Clinical proteomics for prostate cancer: understanding prostate cancer pathology and protein biomarkers for improved disease management. Clin Proteomics 2020; 17:41. [PMID: 33292167 PMCID: PMC7678104 DOI: 10.1186/s12014-020-09305-7] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2020] [Accepted: 11/11/2020] [Indexed: 12/12/2022] Open
Abstract
Following the introduction of routine Prostate Specific Antigen (PSA) screening in the early 1990's, Prostate Cancer (PCa) is often detected at an early stage. There are also a growing number of treatment options available and so the associated mortality rate is generally low. However, PCa is an extremely complex and heterogenous disease and many patients suffer disease recurrence following initial therapy. Disease recurrence commonly results in metastasis and metastatic PCa has an average survival rate of just 3-5 years. A significant problem in the clinical management of PCa is being able to differentiate between patients who will respond to standard therapies and those who may benefit from more aggressive intervention at an earlier stage. It is also acknowledged that for many men the disease is not life threatenting. Hence, there is a growing desire to identify patients who can be spared the significant side effects associated with PCa treatment until such time (if ever) their disease progresses to the point where treatment is required. To these important clinical needs, current biomarkers and clinical methods for patient stratification and personlised treatment are insufficient. This review provides a comprehensive overview of the complexities of PCa pathology and disease management. In this context it is possible to review current biomarkers and proteomic technologies that will support development of biomarker-driven decision tools to meet current important clinical needs. With such an in-depth understanding of disease pathology, the development of novel clinical biomarkers can proceed in an efficient and effective manner, such that they have a better chance of improving patient outcomes.
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Affiliation(s)
- Claire Tonry
- UCD Conway Institute, University College Dublin, Dublin, Ireland
| | - Stephen Finn
- Department of Histopathology and Morbid Anatomy, Trinity Translational Medicine Institute, Trinity College Dublin, Dublin 8, Ireland
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Merging new-age biomarkers and nanodiagnostics for precision prostate cancer management. Nat Rev Urol 2020; 16:302-317. [PMID: 30962568 DOI: 10.1038/s41585-019-0178-2] [Citation(s) in RCA: 63] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
The accurate identification and stratified treatment of clinically significant early-stage prostate cancer have been ongoing concerns since the outcomes of large international prostate cancer screening trials were reported. The controversy surrounding clinical and cost benefits of prostate cancer screening has highlighted the lack of strategies for discriminating high-risk disease (that requires early treatment) from low-risk disease (that could be managed using watchful waiting or active surveillance). Advances in molecular subtyping and multiomics nanotechnology-based prostate cancer risk delineation can enable refinement of prostate cancer molecular taxonomy into clinically meaningful and treatable subtypes. Furthermore, the presence of intertumoural and intratumoural heterogeneity in prostate cancer warrants the development of novel nanodiagnostic technologies to identify clinically significant prostate cancer in a rapid, cost-effective and accurate manner. Circulating and urinary next-generation prostate cancer biomarkers for disease molecular subtyping and the newest complementary nanodiagnostic platforms for enhanced biomarker detection are promising tools for precision prostate cancer management. However, challenges in merging both aspects and clinical translation still need to be overcome.
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11
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Dess RT, Spratt DE. Why the UK Should Consider Gene Expression Testing in Prostate Cancer. Clin Oncol (R Coll Radiol) 2019; 32:149-155. [PMID: 31839379 DOI: 10.1016/j.clon.2019.11.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2019] [Revised: 10/10/2019] [Accepted: 11/18/2019] [Indexed: 02/06/2023]
Abstract
There is an increase in the use of prognostic gene expression biomarkers in the USA for the personalisation of treatment for men with localised and recurrent prostate cancer. However, these are not available in the UK. This overview will cover the need to shift from subjective histological phenotypes (e.g. Gleason grade) to more objective biological genotypes, review the suboptimal performance of clinical and pathological variables to accurately risk stratify patients and discuss the growing body of consistent work that has shown that genomic classifiers more accurately discriminate which men harbour indolent or biologically aggressive disease, independently of grade or stage. Overall, we will discuss the need for improved prognostic biomarkers and why the UK and the National Institute for Health and Care Excellence guidelines should move beyond the now 20-year-old three-tier D'Amico risk classification schema to guide the management of prostate cancer in the modern era.
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Affiliation(s)
- R T Dess
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, USA
| | - D E Spratt
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, USA.
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12
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Importance of 68Ga-PSMA PET/CT in hospital practice. View of the radiation oncologist. Rev Esp Med Nucl Imagen Mol 2018. [DOI: 10.1016/j.remnie.2018.07.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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13
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Couñago F, Artigas C, Sancho G, Gómez-Iturriaga A, Gómez-Caamaño A, Maldonado A, Caballero B, López-Campos F, Recio M, Del Cerro E, Henríquez I. Importance of 68Ga-PSMA PET/CT in hospital practice. View of the radiation oncologist. Rev Esp Med Nucl Imagen Mol 2018; 37:302-314. [PMID: 30139594 DOI: 10.1016/j.remn.2018.07.005] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2018] [Revised: 07/09/2018] [Accepted: 07/12/2018] [Indexed: 12/19/2022]
Abstract
Radiotherapy is a treatment with curative intent, both in patients with primary diagnosis of prostate cancer (PCa) and in patients presenting with biochemical recurrence after radical prostatectomy (RP). Moreover, the use of stereotactic body radiotherapy as a metastasis directed therapy in patients with oligometastatic PCa has significantly increased in the recent years. Conventional imaging techniques, including transrectal ultrasound, computed tomography (CT), morphologic magnetic resonance and bone scintigraphy have traditionally played a minor role in all those clinical scenarios due to its low diagnostic accuracy. The recent development of the positron emission tomography (PET) radiotracer 68Ga-PSMA binding to the prostate specific membrane antigen (PSMA), a transmembrane glycoprotein overexpressed in PCa cells, has shown promising results. Detection rates for PCa lesions are higher than CT and higher than the best technique available, the PET/CT with choline. Its superiority has been demonstrated even at very low PSA levels (<1 ng/ml). This increase in diagnostic accuracy represents a potential impact on patient management, especially in radiotherapy. Even if this imaging technique is already available for routine clinical practice in some European countries, in Spain, unfortunately, there is very limited access. In this review, we analyze the main studies that investigate the usefulness of 68Ga-PSMA PET/CT in patients with PCa and its potential impact on radiotherapy treatments. In addition, we compared the 68Ga-PSMA PET/CT, with the multiparametric magnetic resonance imaging and the PET/CT with choline, in the different clinical scenarios.
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Affiliation(s)
- F Couñago
- Departamento de Oncología Radioterápica, Hospital Universitario Quirónsalud Madrid, Hospital La Luz, Universidad Europea de Madrid, Madrid, España.
| | - C Artigas
- Departamento de Medicina Nuclear y Terapias Metabólicas, Jules Bordet Institute, Bruselas, Bélgica
| | - G Sancho
- Departamento de Oncología Radioterápica, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, España
| | - A Gómez-Iturriaga
- Departamento de Oncología Radioterápica, Hospital Universitario Cruces, Biocruces Health Research Institute, Barakaldo, España
| | - A Gómez-Caamaño
- Departamento de Oncología Radioterápica, Complexo Hospitalario Universitario Santiago de Compostela, La Coruña, España
| | - A Maldonado
- Departamento de Medicina Nuclear, Hospital Universitario Quirónsalud, Madrid, España
| | - B Caballero
- Departamento de Oncología Radioterápica, Hospital Universitario de Fuenlabrada, Madrid, España
| | - F López-Campos
- Departamento de Oncología Radioterápica, Hospital Universitario Ramón y Cajal, Madrid, España
| | - M Recio
- Departamento de Radiología, Hospital Universitario Quirónsalud, Madrid, España
| | - E Del Cerro
- Departamento de Oncología Radioterápica, Hospital Universitario Quirónsalud Madrid, Hospital La Luz, Universidad Europea de Madrid, Madrid, España
| | - I Henríquez
- Departamento de Oncología Radioterápica, Hospital Universitario de Sant Joan, Institute d'Investigació Sanitària Pere Virgili (IISPV), Reus, España
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14
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Adjuvant Radiation Therapy for High-Risk Post-prostatectomy Patients. Prostate Cancer 2018. [DOI: 10.1007/978-3-319-78646-9_7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/16/2022] Open
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15
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Clinton TN, Bagrodia A, Lotan Y, Margulis V, Raj GV, Woldu SL. Tissue-based biomarkers in prostate cancer. EXPERT REVIEW OF PRECISION MEDICINE AND DRUG DEVELOPMENT 2017; 2:249-260. [PMID: 29226251 PMCID: PMC5722240 DOI: 10.1080/23808993.2017.1372687] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2017] [Accepted: 08/24/2017] [Indexed: 01/05/2023]
Abstract
INTRODUCTION Prostate cancer is a heterogeneous disease. Existing risk stratification tools based on standard clinlicopathologic variables (prostate specific antigen [PSA], Gleason score, and tumor stage) provide a modest degree of predictive ability. Advances in high-throughput sequencing has led to the development of several novel tissue-based biomarkers that can improve prognostication in prostate cancer management. AREAS COVERED The authors review commercially-available, tissue-based biomarker assays that improve upon existing risk-stratification tools in several areas of prostate cancer management, including the appropriateness of active surveillance and aiding in decision making regarding the use of adjuvant therapy. Additionally, some of the obstacles to the widespread adoption of these biomarkers and discuss several investigational sources of new biomarkers are discussed. EXPERT COMMENTARY Work is ongoing to answer pertinent clinical questions in prostate cancer management including which patients should undergo biopsy, active surveillance, receive adjuvant therapy, and what systemic therapy is best in the first-line. Incorporation into novel biomarkers may allow for the incorporation of a 'personalized' approach to management. Further validation will be required and questions of cost must be considered before wide scale adoption of these biomarkers. Tumor heterogeneity may impose a ceiling on the prognostic ability of biomarkers using currently available techniques.
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Affiliation(s)
- Timothy N Clinton
- University of Texas Southwestern Medical Center, Department of Urology, Dallas, Texas
| | - Aditya Bagrodia
- University of Texas Southwestern Medical Center, Department of Urology, Dallas, Texas
| | - Yair Lotan
- University of Texas Southwestern Medical Center, Department of Urology, Dallas, Texas
| | - Vitaly Margulis
- University of Texas Southwestern Medical Center, Department of Urology, Dallas, Texas
| | - Ganesh V Raj
- University of Texas Southwestern Medical Center, Department of Urology, Dallas, Texas
| | - Solomon L Woldu
- University of Texas Southwestern Medical Center, Department of Urology, Dallas, Texas
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16
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Abe J, Lobo JM, Trifiletti DM, Showalter TN. Providing guidance for genomics-based cancer treatment decisions: insights from stakeholder engagement for post-prostatectomy radiation therapy. BMC Med Inform Decis Mak 2017; 17:128. [PMID: 28836985 PMCID: PMC5571582 DOI: 10.1186/s12911-017-0526-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2017] [Accepted: 08/18/2017] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND Despite the emergence of genomics-based risk prediction tools in oncology, there is not yet an established framework for communication of test results to cancer patients to support shared decision-making. We report findings from a stakeholder engagement program that aimed to develop a framework for using Markov models with individualized model inputs, including genomics-based estimates of cancer recurrence probability, to generate personalized decision aids for prostate cancer patients faced with radiation therapy treatment decisions after prostatectomy. METHODS We engaged a total of 22 stakeholders, including: prostate cancer patients, urological surgeons, radiation oncologists, genomic testing industry representatives, and biomedical informatics faculty. Slides were at each meeting to provide background information regarding the analytical framework. Participants were invited to provide feedback during the meeting, including revising the overall project aims. Stakeholder meeting content was reviewed and summarized by stakeholder group and by theme. RESULTS The majority of stakeholder suggestions focused on aspects of decision aid design and formatting. Stakeholders were enthusiastic about the potential value of using decision analysis modeling with personalized model inputs for cancer recurrence risk, as well as competing risks from age and comorbidities, to generate a patient-centered tool to assist decision-making. Stakeholders did not view privacy considerations as a major barrier to the proposed decision aid program. A common theme was that decision aids should be portable across multiple platforms (electronic and paper), should allow for interaction by the user to adjust model inputs iteratively, and available to patients both before and during consult appointments. Emphasis was placed on the challenge of explaining the model's composite result of quality-adjusted life years. CONCLUSIONS A range of stakeholders provided valuable insights regarding the design of a personalized decision aid program, based upon Markov modeling with individualized model inputs, to provide a patient-centered framework to support for genomic-based treatment decisions for cancer patients. The guidance provided by our stakeholders may be broadly applicable to the communication of genomic test results to patients in a patient-centered fashion that supports effective shared decision-making that represents a spectrum of personal factors such as age, medical comorbidities, and individual priorities and values.
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Affiliation(s)
- James Abe
- Department of Radiation Oncology, University of Virginia School of Medicine, 1240 Lee Street, Box 800383, Charlottesville, VA 22908 USA
| | - Jennifer M. Lobo
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA USA
| | - Daniel M. Trifiletti
- Department of Radiation Oncology, University of Virginia School of Medicine, 1240 Lee Street, Box 800383, Charlottesville, VA 22908 USA
| | - Timothy N. Showalter
- Department of Radiation Oncology, University of Virginia School of Medicine, 1240 Lee Street, Box 800383, Charlottesville, VA 22908 USA
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17
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Lobo JM, Trifiletti DM, Sturz VN, Dicker AP, Buerki C, Davicioni E, Cooperberg MR, Karnes RJ, Jenkins RB, Den RB, Showalter TN. Cost-effectiveness of the Decipher Genomic Classifier to Guide Individualized Decisions for Early Radiation Therapy After Prostatectomy for Prostate Cancer. Clin Genitourin Cancer 2017; 15:e299-e309. [DOI: 10.1016/j.clgc.2016.08.012] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2015] [Revised: 08/01/2016] [Accepted: 08/05/2016] [Indexed: 01/09/2023]
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18
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Gore JL, du Plessis M, Santiago-Jiménez M, Yousefi K, Thompson DJS, Karsh L, Lane BR, Franks M, Chen DYT, Bandyk M, Bianco FJ, Brown G, Clark W, Kibel AS, Kim HL, Lowrance W, Manoharan M, Maroni P, Perrapato S, Sieber P, Trabulsi EJ, Waterhouse R, Davicioni E, Lotan Y, Lin DW. Decipher test impacts decision making among patients considering adjuvant and salvage treatment after radical prostatectomy: Interim results from the Multicenter Prospective PRO-IMPACT study. Cancer 2017; 123:2850-2859. [PMID: 28422278 PMCID: PMC5573983 DOI: 10.1002/cncr.30665] [Citation(s) in RCA: 61] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2016] [Revised: 01/05/2017] [Accepted: 01/15/2017] [Indexed: 11/09/2022]
Abstract
BACKGROUND Patients with prostate cancer and their providers face uncertainty as they consider adjuvant radiotherapy (ART) or salvage radiotherapy (SRT) after undergoing radical prostatectomy. The authors prospectively evaluated the impact of the Decipher test, which predicts metastasis risk after radical prostatectomy, on decision making for ART and SRT. METHODS A total of 150 patients who were considering ART and 115 who were considering SRT were enrolled. Providers submitted a management recommendation before processing the Decipher test and again at the time of receipt of the test results. Patients completed validated surveys on prostate cancer (PCa)‐specific decisional effectiveness and PCa‐related anxiety. RESULTS Before the Decipher test, observation was recommended for 89% of patients considering ART and 58% of patients considering SRT. After Decipher testing, 18% (95% confidence interval [95% CI], 12%‐25%) of treatment recommendations changed in the ART arm, including 31% among high‐risk patients; and 32% (95% CI, 24%‐42%) of management recommendations changed in the salvage arm, including 56% among high‐risk patients. Decisional Conflict Scale (DCS) scores were better after viewing Decipher test results (ART arm: median DCS before Decipher, 25 and after Decipher, 19 [P<.001]; SRT arm: median DCS before Decipher, 27 and after Decipher, 23 [P<.001]). PCa‐specific anxiety changed after Decipher testing; fear of PCa disease recurrence in the ART arm (P = .02) and PCa‐specific anxiety in the SRT arm (P = .05) decreased significantly among low‐risk patients. Decipher results reported per 5% increase in 5‐year metastasis probability were associated with the decision to pursue ART (odds ratio, 1.48; 95% CI, 1.19‐1.85) and SRT (odds ratio, 1.41; 95% CI, 1.09‐1.81) in multivariable logistic regression analysis. CONCLUSIONS Knowledge of Decipher test results was associated with treatment decision making and improved decisional effectiveness among men with PCa who were considering ART and SRT. Cancer 2017;123:2850–59. © 2017 American Cancer Society. Use of the Decipher test appears to result in a change in treatment decision making in a substantial percentage of men with prostate cancer who are considering adjuvant or salvage radiotherapy after radical prostatectomy. Decisional effectiveness improves for both patients and providers with use of the Decipher test.
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Affiliation(s)
- John L Gore
- Department of Urology, Seattle Cancer Care Alliance, University of Washington, Seattle, Washington
| | | | | | - Kasra Yousefi
- GenomeDx Biosciences Inc, Vancouver, British Columbia, Canada
| | | | | | - Brian R Lane
- Spectrum Health Medical Group, Grand Rapids, Michigan
| | | | - David Y T Chen
- Department of Surgical Oncology, Fox Chase Cancer Center, Philadelphia, Pennsylvania
| | - Mark Bandyk
- Lakeland Regional Cancer Center, Lakeland, Florida
| | - Fernando J Bianco
- Urological Research Network, Nova Southeastern University, Miami, Florida
| | - Gordon Brown
- Delaware Valley Urology LLC, Voorhees, New Jersey
| | | | - Adam S Kibel
- Department of Urology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Hyung L Kim
- Department of Urology, Cedars-Sinai Medical Center, Los Angeles, California
| | - William Lowrance
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah
| | - Murugesan Manoharan
- Department of Urology, Miller School of Medicine, University of Miami, Miami, Florida
| | - Paul Maroni
- Division of Urology, University of Colorado, Anschutz Medical Campus, Aurora, Colorado
| | - Scott Perrapato
- Department of Surgery, University of Vermont Medical Center, Burlington, Vermont
| | | | - Edouard J Trabulsi
- Department of Urology, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, Pennsylvania
| | | | - Elai Davicioni
- GenomeDx Biosciences Inc, Vancouver, British Columbia, Canada
| | - Yair Lotan
- Department of Urology, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Daniel W Lin
- Department of Urology, Seattle Cancer Care Alliance, University of Washington, Seattle, Washington
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19
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Pellegrini KL, Sanda MG, Patil D, Long Q, Santiago-Jiménez M, Takhar M, Erho N, Yousefi K, Davicioni E, Klein EA, Jenkins RB, Karnes RJ, Moreno CS. Evaluation of a 24-gene signature for prognosis of metastatic events and prostate cancer-specific mortality. BJU Int 2017; 119:961-967. [PMID: 28107602 DOI: 10.1111/bju.13779] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
OBJECTIVES To determine the prognostic potential of a 24-gene signature, Sig24, for identifying patients with prostate cancer who are at risk of developing metastases or of prostate cancer-specific mortality (PCSM) after radical prostatectomy (RP). PATIENTS AND METHODS Sig24 scores were calculated from previously collected gene expression microarray data from the Cleveland Clinic and Mayo Clinic (I and II). The performance of Sig24 was determined using time-dependent c-index analysis, Cox proportional hazards regression and Kaplan-Meier survival analysis. RESULTS Higher Sig24 scores were significantly associated with higher pathological Gleason scores in all three cohorts. Analysis of the Mayo Clinic II cohort, which included time-to-event information, indicated that patients with high Sig24 scores also had a higher risk of developing metastasis (hazard ratio [HR] 3.78, 95% confidence interval [CI]: 1.96-7.29; P < 0.001) or of PCSM (HR 6.54, 95% CI: 2.16-19.83; P < 0.001). CONCLUSIONS The findings of the present study show the applicability of Sig24 for the prognosis of metastasis or PCSM after RP. Future studies investigating the combination of Sig24 with available prognostic tests may provide new approaches to improve risk stratification for patients with prostate cancer.
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Affiliation(s)
- Kathryn L Pellegrini
- Department of Urology, Emory University School of Medicine, Atlanta, GA, USA.,Winship Cancer Institute, Atlanta, GA, USA
| | - Martin G Sanda
- Department of Urology, Emory University School of Medicine, Atlanta, GA, USA.,Winship Cancer Institute, Atlanta, GA, USA
| | - Dattatraya Patil
- Department of Urology, Emory University School of Medicine, Atlanta, GA, USA.,Winship Cancer Institute, Atlanta, GA, USA
| | - Qi Long
- Winship Cancer Institute, Atlanta, GA, USA.,Department of Biostatistics and Epidemiology and Abramson Cancer Center, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.,Department of Biomedical Informatics, Emory University School of Medicine, Atlanta, GA, USA
| | | | | | | | | | | | - Eric A Klein
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Robert B Jenkins
- Department of Pathology and Laboratory Medicine, Mayo Clinic, Rochester, MN, USA
| | | | - Carlos S Moreno
- Winship Cancer Institute, Atlanta, GA, USA.,Department of Biomedical Informatics, Emory University School of Medicine, Atlanta, GA, USA.,Department of Pathology and Laboratory Medicine, Emory University School of Medicine, Atlanta, GA, USA
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21
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Alford AV, Brito JM, Yadav KK, Yadav SS, Tewari AK, Renzulli J. The Use of Biomarkers in Prostate Cancer Screening and Treatment. Rev Urol 2017; 19:221-234. [PMID: 29472826 PMCID: PMC5811879 DOI: 10.3909/riu0772] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Prostate cancer screening and diagnosis has been guided by prostate-specific antigen levels for the past 25 years, but with the most recent US Preventive Services Task Force screening recommendations, as well as concerns regarding overdiagnosis and overtreatment, a new wave of prostate cancer biomarkers has recently emerged. These assays allow the testing of urine, serum, or prostate tissue for molecular signs of prostate cancer, and provide information regarding both diagnosis and prognosis. In this review, we discuss 12 commercially available biomarker assays approved for the diagnosis and treatment of prostate cancer. The results of clinical validation studies and clinical decision-making studies are presented. This information is designed to assist urologists in making clinical decisions with respect to ordering and interpreting these tests for different patients. There are numerous fluid and biopsy-based genomic tests available for prostate cancer patients that provide the physician and patient with different information about risk of future disease and treatment outcomes. It is important that providers be able to recommend the appropriate test for each individual patient; this decision is based on tissue availability and prognostic information desired. Future studies will continue to emphasize the important role of genomic biomarkers in making individualized treatment decisions for prostate cancer patients.
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Affiliation(s)
- Ashley V Alford
- 1Department of Urology, Columbia University Medical Center, New York Presbyterian Hospital New York, NY
| | - Joseph M Brito
- Department of Urology, Brown University, Rhode Island Hospital Providence, RI
| | - Kamlesh K Yadav
- Department of Urology, Icahn School of Medicine at Mount Sinai New York, NY
| | - Shalini S Yadav
- Department of Urology, Icahn School of Medicine at Mount Sinai New York, NY
| | - Ashutosh K Tewari
- Department of Urology, Icahn School of Medicine at Mount Sinai New York, NY
| | - Joseph Renzulli
- Department of Urology, Brown University, Rhode Island Hospital Providence, RI
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22
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Abstract
Progress has been made in applying genetic information to disease management in the postgenomic era, and precision medicine is emerging in prostate cancer management. The prostate health index, the 4-kallikrein (4K) score, and the PCA3, TMPRSS2-ERG, and Prostarix tests have potential for refining prostate cancer screening in conjunction with traditional prostate-specific antigen testing. The Confirm MDx and PCA3 tests have shown promise in identifying men who need be rebiopsied after a primary negative biopsy. Oncotype DX, Prolaris, the biopsy-based Decipher prostate cancer test, and ProMark may improve predictive risk stratification in addition to the traditional Gleason score and tumor stage. Decipher and Prolaris may predict biochemical recurrence and metastasis after radical prostatectomy and possibly help identify patients who need adjuvant therapy. Androgen receptor splice variant 7 appears effective in guiding the selection of second hormonal manipulation with abiraterone or enzalutamide versus chemotherapy when treating metastatic castration-resistant prostate cancer.
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23
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Stoyanova R, Takhar M, Tschudi Y, Ford JC, Solórzano G, Erho N, Balagurunathan Y, Punnen S, Davicioni E, Gillies RJ, Pollack A. Prostate cancer radiomics and the promise of radiogenomics. Transl Cancer Res 2016; 5:432-447. [PMID: 29188191 DOI: 10.21037/tcr.2016.06.20] [Citation(s) in RCA: 86] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Prostate cancer exhibits intra-tumoral heterogeneity that we hypothesize to be the leading confounding factor contributing to the underperformance of the current pre-treatment clinical-pathological and genomic assessment. These limitations impose an urgent need to develop better computational tools to identify men with low risk of prostate cancer versus others that may be at risk for developing metastatic cancer. The patient stratification will directly translate to patient treatments, wherein decisions regarding active surveillance or intensified therapy are made. Multiparametric MRI (mpMRI) provides the platform to investigate tumor heterogeneity by mapping the individual tumor habitats. We hypothesize that quantitative assessment (radiomics) of these habitats results in distinct combinations of descriptors that reveal regions with different physiologies and phenotypes. Radiogenomics, a discipline connecting tumor morphology described by radiomic and its genome described by the genomic data, has the potential to derive "radio phenotypes" that both correlate to and complement existing validated genomic risk stratification biomarkers. In this article we first describe the radiomic pipeline, tailored for analysis of prostate mpMRI, and in the process we introduce our particular implementations of radiomics modules. We also summarize the efforts in the radiomics field related to prostate cancer diagnosis and assessment of aggressiveness. Finally, we describe our results from radiogenomic analysis, based on mpMRI-Ultrasound (MRI-US) biopsies and discuss the potential of future applications of this technique. The mpMRI radiomics data indicate that the platform would significantly improve the biopsy targeting of prostate habitats through better recognition of indolent versus aggressive disease, thereby facilitating a more personalized approach to prostate cancer management. The expectation to non-invasively identify habitats with high probability of housing aggressive cancers would result in directed biopsies that are more informative and actionable. Conversely, providing evidence for lack of disease would reduce the incidence of non-informative biopsies. In radiotherapy of prostate cancer, dose escalation has been shown to reduce biochemical failure. Dose escalation only to determinate prostate habitats has the potential to improve tumor control with less toxicity than when the entire prostate is dose escalated.
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Affiliation(s)
- Radka Stoyanova
- Department of Radiation Oncology, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Mandeep Takhar
- Research and Development, GenomeDx Biosciences, Vancouver, BC, Canada
| | - Yohann Tschudi
- Department of Radiation Oncology, University of Miami Miller School of Medicine, Miami, FL, USA
| | - John C Ford
- Department of Radiation Oncology, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Gabriel Solórzano
- Department of Radiation Oncology, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Nicholas Erho
- Research and Development, GenomeDx Biosciences, Vancouver, BC, Canada
| | | | - Sanoj Punnen
- Department of Urology, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Elai Davicioni
- Research and Development, GenomeDx Biosciences, Vancouver, BC, Canada
| | - Robert J Gillies
- Cancer Imaging and Metabolism, Moffitt Cancer Center, Tampa, FL, USA
| | - Alan Pollack
- Department of Radiation Oncology, University of Miami Miller School of Medicine, Miami, FL, USA
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Tonry CL, Leacy E, Raso C, Finn SP, Armstrong J, Pennington SR. The Role of Proteomics in Biomarker Development for Improved Patient Diagnosis and Clinical Decision Making in Prostate Cancer. Diagnostics (Basel) 2016; 6:E27. [PMID: 27438858 PMCID: PMC5039561 DOI: 10.3390/diagnostics6030027] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2016] [Revised: 06/28/2016] [Accepted: 07/07/2016] [Indexed: 02/06/2023] Open
Abstract
Prostate Cancer (PCa) is the second most commonly diagnosed cancer in men worldwide. Although increased expression of prostate-specific antigen (PSA) is an effective indicator for the recurrence of PCa, its intended use as a screening marker for PCa is of considerable controversy. Recent research efforts in the field of PCa biomarkers have focused on the identification of tissue and fluid-based biomarkers that would be better able to stratify those individuals diagnosed with PCa who (i) might best receive no treatment (active surveillance of the disease); (ii) would benefit from existing treatments; or (iii) those who are likely to succumb to disease recurrence and/or have aggressive disease. The growing demand for better prostate cancer biomarkers has coincided with the development of improved discovery and evaluation technologies for multiplexed measurement of proteins in bio-fluids and tissues. This review aims to (i) provide an overview of these technologies as well as describe some of the candidate PCa protein biomarkers that have been discovered using them; (ii) address some of the general limitations in the clinical evaluation and validation of protein biomarkers; and (iii) make recommendations for strategies that could be adopted to improve the successful development of protein biomarkers to deliver improvements in personalized PCa patient decision making.
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Affiliation(s)
- Claire L Tonry
- UCD Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Dublin 4, Ireland.
| | - Emma Leacy
- UCD Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Dublin 4, Ireland.
| | - Cinzia Raso
- UCD Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Dublin 4, Ireland.
| | - Stephen P Finn
- School of Medicine, Trinity College Dublin, Dublin 2, Ireland.
| | | | - Stephen R Pennington
- UCD Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Dublin 4, Ireland.
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Lobo JM, Stukenborg GJ, Trifiletti DM, Patel N, Showalter TN. Reconsidering adjuvant versus salvage radiation therapy for prostate cancer in the genomics era. J Comp Eff Res 2016; 5:375-82. [DOI: 10.2217/cer-2015-0015] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Aim: We developed a decision analysis framework to simulate the clinical choice of early adjuvant versus delayed salvage radiation therapy after radical prostatectomy. Materials & methods: We designed a Markov decision analysis model to represent two alternative treatment approaches for prostate cancer after prostatectomy over a 10-year time horizon. The model contained individualized inputs including genomic classifier score. Sensitivity analyses were performed to evaluate model results. Results: Observation with delayed salvage radiation is preferred according to the base case, with greater average length and quality of life. However, adjuvant therapy is preferred over observation with salvage when genomics-based estimates of recurrence are high. Conclusion: Model results were sensitive to genomics-based estimates of cancer recurrence and to nonprostate cancer mortality.
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Affiliation(s)
- Jennifer M Lobo
- Department of Public Health Sciences, University of Virginia School of Medicine, VA, USA
| | - George J Stukenborg
- Department of Public Health Sciences, University of Virginia School of Medicine, VA, USA
| | - Daniel M Trifiletti
- Department of Radiation Oncology, University of Virginia School of Medicine, VA, USA
| | - Nirav Patel
- Department of Radiation Oncology, University of Virginia School of Medicine, VA, USA
| | - Timothy N Showalter
- Department of Radiation Oncology, University of Virginia School of Medicine, VA, USA
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Gaudreau PO, Stagg J, Soulières D, Saad F. The Present and Future of Biomarkers in Prostate Cancer: Proteomics, Genomics, and Immunology Advancements. BIOMARKERS IN CANCER 2016; 8:15-33. [PMID: 27168728 PMCID: PMC4859450 DOI: 10.4137/bic.s31802] [Citation(s) in RCA: 58] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 09/15/2015] [Revised: 11/16/2015] [Accepted: 11/18/2015] [Indexed: 12/29/2022]
Abstract
Prostate cancer (PC) is the second most common form of cancer in men worldwide. Biomarkers have emerged as essential tools for treatment and assessment since the variability of disease behavior, the cost and diversity of treatments, and the related impairment of quality of life have given rise to a need for a personalized approach. High-throughput technology platforms in proteomics and genomics have accelerated the development of biomarkers. Furthermore, recent successes of several new agents in PC, including immunotherapy, have stimulated the search for predictors of response and resistance and have improved the understanding of the biological mechanisms at work. This review provides an overview of currently established biomarkers in PC, as well as a selection of the most promising biomarkers within these particular fields of development.
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Affiliation(s)
- Pierre-Olivier Gaudreau
- Hematologist and Medical Oncologist, Notre-Dame Hospital, CHUM Research Center, Montreal, QC, Canada
| | - John Stagg
- Associate Professor, Department of Pharmacy, Cancer Axis—Montreal Cancer Institute, Montreal, QC, Canada
| | - Denis Soulières
- Hematologist and Medical Oncologist, Notre-Dame Hospital, CHUM Research Center, Montreal, QC, Canada
- Associate Professor, Department of Medicine, University of Montreal, QC, Canada
| | - Fred Saad
- Professor and Chief of Urology, CHUM—Pavillon R, Montreal, QC, Canada
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Abstract
BACKGROUND The use of biomarkers for prostate cancer screening, diagnosis and prognosis has the potential to improve the clinical management of the patients. Owing to inherent limitations of the biomarker prostate-specific antigen (PSA), intensive efforts are currently directed towards a search for alternative prostate cancer biomarkers, particularly those that can predict disease aggressiveness and drive better treatment decisions. METHODS A literature search of Medline articles focused on recent and emerging advances in prostate cancer biomarkers was performed. The most promising biomarkers that have the potential to meet the unmet clinical needs in prostate cancer patient management and/or that are clinically implemented were selected. CONCLUSIONS With the advent of advanced genomic and proteomic technologies, we have in recent years seen an enormous spurt in prostate cancer biomarker research with several promising alternative biomarkers being discovered that show an improved sensitivity and specificity over PSA. The new generation of biomarkers can be tested via serum, urine, or tissue-based assays that have either received regulatory approval by the US Food and Drug Administration or are available as Clinical Laboratory Improvement Amendments-based laboratory developed tests. Additional emerging novel biomarkers for prostate cancer, including circulating tumor cells, microRNAs and exosomes, are still in their infancy. Together, these biomarkers provide actionable guidance for prostate cancer risk assessment, and are expected to lead to an era of personalized medicine.
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Affiliation(s)
- Sharanjot Saini
- Department of Urology, Urology Research (112J), Veterans Affairs Medical Center, 4150 Clement Street, San Francisco, CA, 94121, USA.
- University of California San Francisco, San Francisco, CA, USA.
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Dalela D, Löppenberg B, Sood A, Sammon J, Abdollah F. Contemporary Role of the Decipher® Test in Prostate Cancer Management: Current Practice and Future Perspectives. Rev Urol 2016; 18:1-9. [PMID: 27162506 PMCID: PMC4859922] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
Abstract
We performed a systematic literature search to identify original articles and editorials about the Decipher(®) Prostate Cancer Test (GenomeDx Biosciences, San Diego, CA) to provide an overview of the current literature and its present role in urologic clinical practice. The Decipher test, which uses the expression of 22 selected RNA markers (from a total of over 1.4 million), showed a very high discrimination in predicting clinical metastasis (0.75-0.83) and cancer-specific mortality (0.78) in external validation studies, outperforming all routinely available clinicopathologic characteristics. Further, the timing of postoperative radiotherapy (adjuvant vs salvage) may be guided based on Decipher scores. The Decipher test was also the only independent predictor of clinical metastasis in patients with biochemical recurrence after surgery. The Decipher Genomic Resource Information Database (GRID) is a novel research tool that captures 1.4 million marker expressions per patient and may facilitate precision-guided, individualized care to patients with prostate cancer. In this era of precision medicine, Decipher, along with the Decipher GRID platform, is a promising genomic tool that may aid in managing prostate cancer patients throughout the continuum of care and delivering appropriate treatment at an individualized level.
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Affiliation(s)
- Deepansh Dalela
- VUI Center for Outcomes, Research, Analytics and Evaluation, Vattikuti Urology Institute, Henry Ford Health System, Detroit, MI
| | - Björn Löppenberg
- VUI Center for Outcomes, Research, Analytics and Evaluation, Vattikuti Urology Institute, Henry Ford Health System, Detroit, MI
| | - Akshay Sood
- VUI Center for Outcomes, Research, Analytics and Evaluation, Vattikuti Urology Institute, Henry Ford Health System, Detroit, MI
| | - Jesse Sammon
- VUI Center for Outcomes, Research, Analytics and Evaluation, Vattikuti Urology Institute, Henry Ford Health System, Detroit, MI
| | - Firas Abdollah
- VUI Center for Outcomes, Research, Analytics and Evaluation, Vattikuti Urology Institute, Henry Ford Health System, Detroit, MI
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Marrone M, Potosky AL, Penson D, Freedman AN. A 22 Gene-expression Assay, Decipher® (GenomeDx Biosciences) to Predict Five-year Risk of Metastatic Prostate Cancer in Men Treated with Radical Prostatectomy. PLOS CURRENTS 2015; 7. [PMID: 26664778 PMCID: PMC4659515 DOI: 10.1371/currents.eogt.761b81608129ed61b0b48d42c04f92a4] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Among the estimated 230,000 men diagnosed with prostate cancer in the US each year there has been a rise in the number of radical prostatectomies (RP). There is some debate over the value of immediate adjuvant therapy following RP in men with high-risk pathological features versus delayed salvage radiation therapy when signs of disease progression are observed. Thus, it would be potentially useful to inform post-RP management strategies by more clearly identifying those patients at higher risk of progression and death from prostate cancer. A 22 gene-expression assay, Decipher® (GenomeDx Biosciences), has been developed in men treated with radical prostatectomy to predict the five-year risk of metastatic prostate cancer. Published and unpublished literature was evaluated to determine the analytic validity, clinical validity and clinical utility of Decipher. Limited information is available on the analytic validity of Decipher. In both discovery and validation studies, Decipher was shown to have good performance in discriminating men with metastasis from men without metastasis five years after surgery (AUC 0.75 to 0.90). In terms of clinical utility, no evidence was found reporting improved outcomes (lower prostate cancer specific mortality and treatment related adverse effects) from using this test to guide post-operative treatment. Four studies provided weak indirect evidence of clinical utility in which 31% to 43% of post-operative treatment recommendations were changed in men with high-risk prostate cancer based on test results, with 27% to 52% of treatment recommendations changing from any treatment to no treatment.
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Affiliation(s)
- Michael Marrone
- Epidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, NIH, Rockville, Maryland, USA
| | - Arnold L Potosky
- Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington DC, USA
| | - David Penson
- Department of Urology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Andrew N Freedman
- Epidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, NIH, Rockville, Maryland, USA
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Nguyen PL, Shin H, Yousefi K, Thompson DJ, Hornberger J, Hyatt AS, Badani KK, Morgan TM, Feng FY. Impact of a Genomic Classifier of Metastatic Risk on Postprostatectomy Treatment Recommendations by Radiation Oncologists and Urologists. Urology 2015; 86:35-40. [PMID: 26142578 DOI: 10.1016/j.urology.2015.04.004] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2014] [Accepted: 05/29/2014] [Indexed: 12/01/2022]
Abstract
OBJECTIVE To evaluate how a genomic classifier (GC) that predicts the risk of metastasis after prostatectomy would impact adjuvant treatment recommendations made by radiation oncologists and urologists. The 2 specialties often disagree about postprostatectomy adjuvant treatment recommendations. MATERIALS AND METHODS Twenty-six radiation oncologists and 20 urologists with genitourinary oncology expertise reviewed de-identified clinical results from 11 patients after radical prostatectomy and made adjuvant treatment recommendations. The same cases were later randomized and reassigned, and treatment recommendations were made using the clinical information and GC test results together. RESULTS Using clinical information alone, observation was recommended in 42% of decisions made by urologists vs 23% by radiation oncologists (P < .0001). The GC test results altered 35% and 45% of treatment recommendations made by radiation oncologists and urologists, respectively. Multivariate analysis showed GC risk was the strongest factor influencing treatment recommendations by both specialties, with an adjusted odds ratio of 4.17 (95% confidence interval [CI], 2.26-7.70) and 6.51 (95% CI, 4.29-9.88) for radiation oncologists and urologists, respectively. GC results indicating high metastatic risk resulted in intensification of treatment, whereas low metastatic risk resulted in less aggressive recommendations. The GC results increased interdisciplinary agreement in treatment recommendations, as the odds of a recommendation for adjuvant treatment by urologists vs radiation oncologists increased from 0.27 (95% CI, 0.17-0.44) to 0.46 (95% CI, 0.29-0.75) after results of the GC test were available. CONCLUSION The GC test significantly influenced adjuvant postprostatectomy treatment recommendations, reduced disagreement between radiation oncologists and urologists, and has the potential to enhance personalization of postprostatectomy care.
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Affiliation(s)
- Paul L Nguyen
- Department of Radiation Oncology, Dana-Farber/Brigham and Women's Cancer Center and Harvard Medical School, Boston, MA.
| | - Heesun Shin
- GenomeDx Biosciences, Vancouver, British Columbia, Canada
| | - Kasra Yousefi
- GenomeDx Biosciences, Vancouver, British Columbia, Canada
| | | | - John Hornberger
- Cedar Associates, Menlo Park, CA; Department of Medicine, Stanford University, Stanford, CA
| | - Andrew S Hyatt
- Department of Radiation Oncology, Dana-Farber/Brigham and Women's Cancer Center and Harvard Medical School, Boston, MA
| | - Ketan K Badani
- Department of Urology, Columbia University Medical Center, New York, NY
| | - Todd M Morgan
- Department of Urology, University of Michigan, Ann Arbor, MI
| | - Felix Y Feng
- Radiation Oncology, University of Michigan, Ann Arbor, MI
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Alshalalfa M, Schliekelman M, Shin H, Erho N, Davicioni E. Evolving transcriptomic fingerprint based on genome-wide data as prognostic tools in prostate cancer. Biol Cell 2015; 107:232-44. [PMID: 25900404 PMCID: PMC4744779 DOI: 10.1111/boc.201400097] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2014] [Accepted: 04/18/2015] [Indexed: 02/06/2023]
Abstract
Background Information Prostate cancer (PCa) is a common disease but only a small subset of patients are at risk of developing metastasis and lethal disease, and identifying which patients will progress is challenging because of the heterogeneity underlying tumour progression. Understanding this heterogeneity at the molecular level and the resulting clinical impact is a critical step necessary for risk stratification. Defining genomic fingerprint elucidates molecular variation and may improve PCa risk stratification, providing more accurate prognostic information of tumour aggressiveness (or lethality) for prognostic biomarker development. Therefore, we explored transcriptomic differences between patients with indolent disease outcome and patients who developed metastasis post‐radical prostatectomy using genome‐wide expression data in the post radical prostatectomy clinical space before metastatic spread. Results Based on differential expression analysis, patients with adverse pathological findings who are at higher risk of developing metastasis have a distinct transcriptomic fingerprint that can be detected on surgically removed prostate specimens several years before metastasis detection. Nearly half of the transcriptomic fingerprint features were non‐coding RNA highlighting their pivotal role in PCa progression. Protein‐coding RNA features in the fingerprint are involved in multiple pathways including cell cycle, chromosome structure maintenance and cytoskeleton organisation. The metastatic transcriptomic fingerprint was determined in independent cohorts verifying the association between the fingerprint and metastatic patients. Further, the fingerprint was confirmed in metastasis lesions demonstrating that the fingerprint represents early metastatic transcriptomic changes, suggesting its utility as a prognostic tool to predict metastasis and provide clinical value in the early radical prostatectomy setting. Conclusions Here, we show that transcriptomic patterns of metastatic PCa exist that can be detected early after radical prostatectomy. This metastatic fingerprint has potential prognostic ability that can impact PCa treatment management potentially circumventing the requirements for unnecessary therapies.
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Hailer A, Grunewald TGP, Orth M, Reiss C, Kneitz B, Spahn M, Butt E. Loss of tumor suppressor mir-203 mediates overexpression of LIM and SH3 Protein 1 (LASP1) in high-risk prostate cancer thereby increasing cell proliferation and migration. Oncotarget 2015; 5:4144-4153. [PMID: 24980827 PMCID: PMC4147312 DOI: 10.18632/oncotarget.1928] [Citation(s) in RCA: 58] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
Several studies have linked overexpression of the LIM and SH3 domain protein 1 (LASP1) to progression of breast, colon, liver, and bladder cancer. However, its expression pattern and role in human prostate cancer (PCa) remained largely undefined. Analysis of published microarray data revealed a significant overexpression of LASP1 in PCa metastases compared to parental primary tumors and normal prostate epithelial cells. Subsequent gene-set enrichment analysis comparing LASP1-high and -low PCa identified an association of LASP1 with genes involved in locomotory behavior and chemokine signaling. These bioinformatic predictions were confirmed in vitro as the inducible short hairpin RNA-mediated LASP1 knockdown impaired migration and proliferation in LNCaP prostate cancer cells. By immunohistochemical staining and semi-quantitative image analysis of whole tissue sections we found an enhanced expression of LASP1 in primary PCa and lymph node metastases over benign prostatic hyperplasia. Strong cytosolic and nuclear LASP1 immunoreactivity correlated with PSA progression. Conversely, qRT-PCR analyses for mir-203, which is a known translational suppressor of LASP1 in matched RNA samples revealed an inverse correlation of LASP1 protein and mir-203 expression. Collectively, our results suggest that loss of mir-203 expression and thus uncontrolled LASP1 overexpression might drive progression of PCa.
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Affiliation(s)
- Amelie Hailer
- Institute for Clinical Biochemistry and Pathobiochemistry, University Clinic of Wuerzburg, Grombuehlstrasse 12, 97080 Wuerzburg, Germany. These authors contributed equally to this work
| | - Thomas G P Grunewald
- INSERM Unit 830, Genetics and Biology of Cancers, Institute Curie Research Center, 26 rue d'Ulm, 75248 Paris, France. These authors contributed equally to this work
| | - Martin Orth
- Institute for Clinical Biochemistry and Pathobiochemistry, University Clinic of Wuerzburg, Grombuehlstrasse 12, 97080 Wuerzburg, Germany. These authors contributed equally to this work
| | - Cora Reiss
- Institute for Clinical Biochemistry and Pathobiochemistry, University Clinic of Wuerzburg, Grombuehlstrasse 12, 97080 Wuerzburg, Germany. These authors contributed equally to this work
| | - Burkhard Kneitz
- Urology and Pediatric Urology, University Clinic of Wuerzburg, Oberduerrbacher Strasse 6, 97080 Wuerzburg, Germany
| | - Martin Spahn
- Urology and Pediatric Urology, University Clinic of Wuerzburg, Oberduerrbacher Strasse 6, 97080 Wuerzburg, Germany
| | - Elke Butt
- Institute for Clinical Biochemistry and Pathobiochemistry, University Clinic of Wuerzburg, Grombuehlstrasse 12, 97080 Wuerzburg, Germany. These authors contributed equally to this work
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Boström PJ, Bjartell AS, Catto JWF, Eggener SE, Lilja H, Loeb S, Schalken J, Schlomm T, Cooperberg MR. Genomic Predictors of Outcome in Prostate Cancer. Eur Urol 2015; 68:1033-44. [PMID: 25913390 DOI: 10.1016/j.eururo.2015.04.008] [Citation(s) in RCA: 143] [Impact Index Per Article: 15.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2015] [Accepted: 04/03/2015] [Indexed: 01/09/2023]
Abstract
CONTEXT Given the highly variable behavior and clinical course of prostate cancer (PCa) and the multiple available treatment options, a personalized approach to oncologic risk stratification is important. Novel genetic approaches offer additional information to improve clinical decision making. OBJECTIVE To review the use of genomic biomarkers in the prognostication of PCa outcome and prediction of therapeutic response. EVIDENCE ACQUISITION Systematic literature review focused on human clinical studies reporting outcome measures with external validation. The literature search included all Medline, Embase, and Scopus articles from inception through July 2014. EVIDENCE SYNTHESIS An improved understanding of the genetic basis of prostate carcinogenesis has produced an increasing number of potential prognostic and predictive tools, such as transmembrane protease, serine2:v-ets avian erythroblastosis virus E26 oncogene homolog (TMPRSS2:ERG) gene fusion status, loss of the phosphatase and tensin homolog (PTEN) gene, and gene expression signatures utilizing messenger RNA from tumor tissue. Several commercially available gene panels with external validation are now available, although most have yet to be widely used. The most studied commercially available gene panels, Prolaris, Oncotype DX Genomic Prostate Score, and Decipher, may be used to estimate disease outcome in addition to clinical parameters or clinical nomograms. ConfirmMDx is an epigenetic test used to predict the results of repeat prostate biopsy after an initial negative biopsy. Additional future strategies include using genetic information from circulating tumor cells in the peripheral blood to guide treatment decisions at the initial diagnosis and at subsequent decision points. CONCLUSIONS Major advances have been made in our understanding of PCa biology in recent years. Our field is currently exploring the early stages of a personalized approach to augment traditional clinical decision making using commercially available genomic tools. A more comprehensive appreciation of value, limitations, and cost is important. PATIENT SUMMARY We summarized current advances in genomic testing in prostate cancer with a special focus on the estimation of disease outcome. Several commercial tests are currently available, but further understanding is needed to appreciate the potential benefits and limitations of these novel tests.
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Affiliation(s)
- Peter J Boström
- Department of Urology, Turku University Hospital, Turku, Finland.
| | - Anders S Bjartell
- Department of Urology, Skåne University Hospital Malmö, Lund University, Lund Sweden
| | - James W F Catto
- Academic Urology Unit, University of Sheffield, Sheffield, UK
| | | | - Hans Lilja
- Departments of Laboratory Medicine, Surgery (Urology), and Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK; Institute of Biomedical Technology, University of Tampere, Tampere, Finland
| | - Stacy Loeb
- Department of Urology and Population Health, New York University and Manhattan Veterans Affairs Medical Center, New York, NY, USA
| | - Jack Schalken
- Department of Urology, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Thorsten Schlomm
- Martini-Clinic, Prostate Cancer Center, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Matthew R Cooperberg
- Departments of Urology and Epidemiology and Biostatistics, UCSF Helen Diller Family Comprehensive Cancer Center, San Francisco, CA, USA
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Lobo JM, Dicker AP, Buerki C, Daviconi E, Karnes RJ, Jenkins RB, Patel N, Den RB, Showalter TN. Evaluating the clinical impact of a genomic classifier in prostate cancer using individualized decision analysis. PLoS One 2015; 10:e0116866. [PMID: 25837660 PMCID: PMC4383561 DOI: 10.1371/journal.pone.0116866] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2014] [Accepted: 12/15/2014] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Currently there is controversy surrounding the optimal way to treat patients with prostate cancer in the post-prostatectomy setting. Adjuvant therapies carry possible benefits of improved curative results, but there is uncertainty in which patients should receive adjuvant therapy. There are concerns about giving toxicity to a whole population for the benefit of only a subset. We hypothesized that making post-prostatectomy treatment decisions using genomics-based risk prediction estimates would improve cancer and quality of life outcomes. METHODS We developed a state-transition model to simulate outcomes over a 10 year horizon for a cohort of post-prostatectomy patients. Outcomes included cancer progression rates at 5 and 10 years, overall survival, and quality-adjusted survival with reductions for treatment, side effects, and cancer stage. We compared outcomes using population-level versus individual-level risk of cancer progression, and for genomics-based care versus usual care treatment recommendations. RESULTS Cancer progression outcomes, expected life-years (LYs), and expected quality-adjusted life-years (QALYs) were significantly different when individual genomics-based cancer progression risk estimates were used in place of population-level risk estimates. Use of the genomic classifier to guide treatment decisions provided small, but statistically significant, improvements in model outcomes. We observed an additional 0.03 LYs and 0.07 QALYs, a 12% relative increase in the 5-year recurrence-free survival probability, and a 4% relative reduction in the 5-year probability of metastatic disease or death. CONCLUSIONS The use of genomics-based risk prediction to guide treatment decisions may improve outcomes for prostate cancer patients. This study offers a framework for individualized decision analysis, and can be extended to incorporate a wide range of personal attributes to enable delivery of patient-centered tools for informed decision-making.
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Affiliation(s)
- Jennifer Mason Lobo
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, United States of America
- * E-mail:
| | - Adam P. Dicker
- Department of Radiation Oncology, Jefferson Medical College and Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA, United States of America
| | | | - Elai Daviconi
- GenomeDx Biosciences, Vancouver, British Columbia, Canada
| | - R. Jeffrey Karnes
- Department of Urology, Mayo Clinic, Rochester, MN, United States of America
| | - Robert B. Jenkins
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States of America
| | - Nirav Patel
- Department of Radiation Oncology, University of Virginia School of Medicine, Charlottesville, VA, United States of America
| | - Robert B. Den
- Department of Radiation Oncology, Jefferson Medical College and Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA, United States of America
| | - Timothy N. Showalter
- Department of Radiation Oncology, University of Virginia School of Medicine, Charlottesville, VA, United States of America
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Murphy L, Prencipe M, Gallagher WM, Watson RW. Commercialized biomarkers: new horizons in prostate cancer diagnostics. Expert Rev Mol Diagn 2015; 15:491-503. [DOI: 10.1586/14737159.2015.1011622] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
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Klein EA, Yousefi K, Haddad Z, Choeurng V, Buerki C, Stephenson AJ, Li J, Kattan MW, Magi-Galluzzi C, Davicioni E. A genomic classifier improves prediction of metastatic disease within 5 years after surgery in node-negative high-risk prostate cancer patients managed by radical prostatectomy without adjuvant therapy. Eur Urol 2014; 67:778-86. [PMID: 25466945 DOI: 10.1016/j.eururo.2014.10.036] [Citation(s) in RCA: 132] [Impact Index Per Article: 13.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2014] [Accepted: 10/22/2014] [Indexed: 11/18/2022]
Abstract
BACKGROUND Surgery is a standard first-line therapy for men with intermediate- or high-risk prostate cancer. Clinical factors such as tumor grade, stage, and prostate-specific antigen (PSA) are currently used to identify those who are at risk of recurrence and who may benefit from adjuvant therapy, but novel biomarkers that improve risk stratification and that distinguish local from systemic recurrence are needed. OBJECTIVE To determine whether adding the Decipher genomic classifier, a validated metastasis risk-prediction model, to standard risk-stratification tools (CAPRA-S and Stephenson nomogram) improves accuracy in predicting metastatic disease within 5 yr after surgery (rapid metastasis [RM]) in an independent cohort of men with adverse pathologic features after radical prostatectomy (RP). DESIGN, SETTING, AND PARTICIPANTS The study population consisted of 169 patients selected from 2641 men who underwent RP at the Cleveland Clinic between 1987 and 2008 who met the following criteria: (1) preoperative PSA>20 ng/ml, stage pT3 or margin positive, or Gleason score≥8; (2) pathologic node negative; (3) undetectable post-RP PSA; (4) no neoadjuvant or adjuvant therapy; and (5) minimum of 5-yr follow-up for controls. The final study cohort consisted of 15 RM patients and 154 patients as non-RM controls. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS The performance of Decipher was evaluated individually and in combination with clinical risk factors using concordance index (c-index), decision curve analysis, and logistic regression for prediction of RM. RESULTS AND LIMITATIONS RM patients developed metastasis at a median of 2.3 yr (interquartile range: 1.7-3.3). In multivariable analysis, Decipher was a significant predictor of RM (odds ratio: 1.48; p=0.018) after adjusting for clinical risk factors. Decipher had the highest c-index, 0.77, compared with the Stephenson model (c-index: 0.75) and CAPRA-S (c-index: 0.72) as well as with a panel of previously reported prostate cancer biomarkers unrelated to Decipher. Integration of Decipher into the Stephenson nomogram increased the c-index from 0.75 (95% confidence interval [CI], 0.65-0.85) to 0.79 (95% CI, 0.68-0.89). CONCLUSIONS Decipher was independently validated as a genomic metastasis signature for predicting metastatic disease within 5 yr after surgery in a cohort of high-risk men treated with RP and managed conservatively without any adjuvant therapy. Integration of Decipher into clinical nomograms increased prediction of RM. Decipher may allow identification of men most at risk for metastatic progression who should be considered for multimodal therapy or inclusion in clinical trials. PATIENT SUMMARY Use of Decipher in addition to standard clinical information more accurately identified men who developed metastatic disease within 5 yr after surgery. The results suggest that Decipher allows improved identification of the men who should consider secondary therapy from among the majority that may be managed conservatively after surgery.
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Affiliation(s)
- Eric A Klein
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH, USA.
| | - Kasra Yousefi
- GenomeDx Biosciences, Vancouver, British Columbia, Canada
| | - Zaid Haddad
- GenomeDx Biosciences, Vancouver, British Columbia, Canada
| | | | | | - Andrew J Stephenson
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Jianbo Li
- Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH, USA
| | - Michael W Kattan
- Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH, USA
| | | | - Elai Davicioni
- GenomeDx Biosciences, Vancouver, British Columbia, Canada
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Badani KK, Thompson DJ, Brown G, Holmes D, Kella N, Albala D, Singh A, Buerki C, Davicioni E, Hornberger J. Effect of a genomic classifier test on clinical practice decisions for patients with high-risk prostate cancer after surgery. BJU Int 2014; 115:419-29. [PMID: 24784420 PMCID: PMC4371645 DOI: 10.1111/bju.12789] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
Objectives To evaluate the impact of a genomic classifier (GC) test for predicting metastasis risk after radical prostatectomy (RP) on urologists' decision-making about adjuvant treatment of patients with high-risk prostate cancer. Subjects and Methods Patient case history was extracted from the medical records of each of the 145 patients with pT3 disease or positive surgical margins (PSMs) after RP treated by six high-volume urologists, from five community practices. GC results were available for 122 (84%) of these patients. US board-certified urologists (n = 107) were invited to provide adjuvant treatment recommendations for 10 cases randomly drawn from the pool of patient case histories. For each case, the study participants were asked to make an adjuvant therapy recommendation without (clinical variables only) and with knowledge of the GC test results. Recommendations were made without knowledge of other participants' responses and the presentation of case histories was randomised to minimise recall bias. Results A total of 110 patient case histories were available for review by the study participants. The median patient age was 62 years, 71% of patients had pT3 disease and 63% had PSMs. The median (range) 5-year predicted probability of metastasis by the GC test for the cohort was 3.9 (1–33)% and the GC test classified 72% of patients as having low risk for metastasis. A total of 51 urologists consented to the study and provided 530 adjuvant treatment recommendations without, and 530 with knowledge of the GC test results. Study participants performed a mean of 130 RPs/year and 55% were from community-based practices. Without GC test result knowledge, observation was recommended for 57% (n = 303), adjuvant radiation therapy (ART) for 36% (n = 193) and other treatments for 7% (n = 34) of patients. Overall, 31% (95% CI: 27–35%) of treatment recommendations changed with knowledge of the GC test results. Of the ART recommendations without GC test result knowledge, 40% (n = 77) changed to observation (95% CI: 33–47%) with this knowledge. Of patients recommended for observation, 13% (n = 38 [95% CI: 9–17%]) were changed to ART with knowledge of the GC test result. Patients with low risk disease according to the GC test were recommended for observation 81% of the time (n = 276), while of those with high risk, 65% were recommended for treatment (n = 118; P < 0.001). Treatment intensity was strongly correlated with the GC-predicted probability of metastasis (P < 0.001) and the GC test was the dominant risk factor driving decisions in multivariable analysis (odds ratio 8.6, 95% CI: 5.3–14.3%; P < 0.001). Conclusions Knowledge of GC test results had a direct effect on treatment strategies after surgery. Recommendations for observation increased by 20% for patients assessed by the GC test to be at low risk of metastasis, whereas recommendations for treatment increased by 16% for patients at high risk of metastasis. These results suggest that the implementation of genomic testing in clinical practice may lead to significant changes in adjuvant therapy decision-making for high-risk prostate cancer.
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Michalopoulos SN, Kella N, Payne R, Yohannes P, Singh A, Hettinger C, Yousefi K, Hornberger J. Influence of a genomic classifier on post-operative treatment decisions in high-risk prostate cancer patients: results from the PRO-ACT study. Curr Med Res Opin 2014; 30:1547-56. [PMID: 24803160 DOI: 10.1185/03007995.2014.919908] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
OBJECTIVE To assess the effect of an individualized genomic classifier (GC) test, for predicting metastasis following radical prostatectomy (RP), on urologists' adjuvant treatment decisions when caring for high-risk patients. PATIENTS AND METHODS Data were submitted by US board-certified urologists in community practices (n = 15), who ordered the GC test for 146 prostate cancer patients with adverse pathologic features following RP (i.e., pathologic stage pT3 or positive surgical margins). Treatment recommendations were reported using an electronic data collection instrument, before and after reviewing the GC test report. Physicians also completed a Decision Conflict Scale (DCS), a decisional conflict measure, to assess their confidence with their treatment recommendations. RESULTS Over 60% of high-risk patients were re-classified as low risk after review of the GC test results. Overall, adjuvant treatment recommendations were modified for 30.8% (95% CI = 23-39%) of patients. With GC test results, 42.5% of patients who were initially recommended adjuvant therapy were subsequently recommended observation. Although the number of patients recommended adjuvant therapy remained the same before and after review of the GC test results, it did influence patient treatment strategies. Multivariable analysis confirmed GC risk was the only significant predictor of treatment recommendations (OR = 4.04; 95% CI = 2.36, 6.92; p < 0.0001). Decisional conflict with regard to adjuvant treatment decisions was significantly less with the use of the GC test (p < 0.0001). CONCLUSIONS Information on individualized metastasis risk based on a patient's tumor biology, with use of the GC test, significantly changed urologists' adjuvant treatment recommendations for post-operative patients with prostate cancer, who were at high risk of metastasis. Namely, the results of this study provide evidence for the utility of the GC test, and show it may guide use of adjuvant radiation.
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40
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Mohammed AA. Biomarkers in prostate cancer: new era and prospective. Med Oncol 2014; 31:140. [PMID: 25048724 DOI: 10.1007/s12032-014-0140-3] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2014] [Accepted: 07/15/2014] [Indexed: 12/16/2022]
Abstract
Currently, most men are diagnosed with prostate cancer (PCa) after a prostate-specific antigen (PSA) test shows an elevated level of the PSA protein. An elevated level suggests cancer may be present. If an elevation is detected, a biopsy to detect cancer is followed. But the PSA test is controversial. An elevated level does not always mean there is cancer present. The test often leads men to having unnecessary biopsies and treatments. Even if cancer is found on biopsy, many of these cancers are slow growing and would not impact the lives of the men who have them. Current advances in molecular techniques have provided new tools facilitating the discovery of new biomarkers for PCa. The purpose of this review is to examine the advances in PCa biomarkers and implication for possible improving disease outcome. The future of cancer prognosis may rely on small panels of markers that can accurately predict PCa presence, stage, and metastasis and can serve as prognosticators, targets, and/or surrogate endpoints of disease progression and response to therapy.
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Affiliation(s)
- Amrallah A Mohammed
- Oncology Center, King Abdullah Medical City-Holy Capital, Muzdallifa Streat, P.O. Box 57657, Mecca, 21995, Saudi Arabia,
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Den RB, Feng FY, Showalter TN, Mishra MV, Trabulsi EJ, Lallas CD, Gomella LG, Kelly WK, Birbe RC, McCue PA, Ghadessi M, Yousefi K, Davicioni E, Knudsen KE, Dicker AP. Genomic prostate cancer classifier predicts biochemical failure and metastases in patients after postoperative radiation therapy. Int J Radiat Oncol Biol Phys 2014; 89:1038-1046. [PMID: 25035207 PMCID: PMC4432840 DOI: 10.1016/j.ijrobp.2014.04.052] [Citation(s) in RCA: 120] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2014] [Revised: 04/21/2014] [Accepted: 04/25/2014] [Indexed: 11/27/2022]
Abstract
Purpose To test the hypothesis that a genomic classifier (GC) would predict biochemical failure (BF) and distant metastasis (DM) in men receiving radiation therapy (RT) after radical prostatectomy (RP). Methods and Materials Among patients who underwent post-RP RT, 139 were identified for pT3 or positive margin, who did not receive neoadjuvant hormones and had paraffin-embedded specimens. Ribonucleic acid was extracted from the highest Gleason grade focus and applied to a high-density-oligonucleotide microarray. Receiver operating characteristic, calibration, cumulative incidence, and Cox regression analyses were performed to assess GC performance for predicting BF and DM after post-RP RT in comparison with clinical nomograms. Results The area under the receiver operating characteristic curve of the Stephenson model was 0.70 for both BF and DM, with addition of GC significantly improving area under the receiver operating characteristic curve to 0.78 and 0.80, respectively. Stratified by GC risk groups, 8-year cumulative incidence was 21%, 48%, and 81% for BF (P<.0001) and for DM was 0, 12%, and 17% (P=.032) for low, intermediate, and high GC, respectively. In multivariable analysis, patients with high GC had a hazard ratio of 8.1 and 14.3 for BF and DM. In patients with intermediate or high GC, those irradiated with undetectable prostate-specific antigen (PSA ≤0.2 ng/mL) had median BF survival of >8 years, compared with <4 years for patients with detectable PSA (>0.2 ng/mL) before initiation of RT. At 8 years, the DM cumulative incidence for patients with high GC and RTwith undetectable PSA was 3%, compared with 23% with detectable PSA (P=.03). No outcome differences were observed for low GC between the treatment groups. Conclusion The GC predicted BF and metastasis after post-RP irradiation. Patients with lower GC risk may benefit from delayed RT, as opposed to those with higher GC; however, this needs prospective validation. Genomic-based models may be useful for improved decision-making for treatment of high-risk prostate cancer.
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Affiliation(s)
- Robert B Den
- Kimmel Cancer Center, Jefferson Medical College of Thomas Jefferson University, Philadelphia, Pennsylvania.
| | - Felix Y Feng
- University of Michigan, Michigan Union, Michigan
| | | | - Mark V Mishra
- University of Maryland Medical Center, Baltimore, Maryland
| | - Edouard J Trabulsi
- Kimmel Cancer Center, Jefferson Medical College of Thomas Jefferson University, Philadelphia, Pennsylvania
| | - Costas D Lallas
- Kimmel Cancer Center, Jefferson Medical College of Thomas Jefferson University, Philadelphia, Pennsylvania
| | - Leonard G Gomella
- Kimmel Cancer Center, Jefferson Medical College of Thomas Jefferson University, Philadelphia, Pennsylvania
| | - W Kevin Kelly
- Kimmel Cancer Center, Jefferson Medical College of Thomas Jefferson University, Philadelphia, Pennsylvania
| | - Ruth C Birbe
- Kimmel Cancer Center, Jefferson Medical College of Thomas Jefferson University, Philadelphia, Pennsylvania
| | - Peter A McCue
- Kimmel Cancer Center, Jefferson Medical College of Thomas Jefferson University, Philadelphia, Pennsylvania
| | | | - Kasra Yousefi
- GenomeDx Biosciences Inc., Vancouver, British Columbia, Canada
| | - Elai Davicioni
- GenomeDx Biosciences Inc., Vancouver, British Columbia, Canada
| | - Karen E Knudsen
- Kimmel Cancer Center, Jefferson Medical College of Thomas Jefferson University, Philadelphia, Pennsylvania
| | - Adam P Dicker
- Kimmel Cancer Center, Jefferson Medical College of Thomas Jefferson University, Philadelphia, Pennsylvania
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Helfand BT, Catalona WJ. The Epidemiology and Clinical Implications of Genetic Variation in Prostate Cancer. Urol Clin North Am 2014; 41:277-97. [DOI: 10.1016/j.ucl.2014.01.001] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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Burdelski C, Matuszewska A, Kluth M, Koop C, Grupp K, Steurer S, Wittmer C, Minner S, Tsourlakis MC, Sauter G, Schlomm T, Simon R. Qualitative and Quantitative Requirements for Assessing Prognostic Markers in Prostate Cancer. MICROARRAYS 2014; 3:137-58. [PMID: 27600340 PMCID: PMC5003445 DOI: 10.3390/microarrays3020137] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/03/2014] [Revised: 03/28/2014] [Accepted: 04/02/2014] [Indexed: 11/16/2022]
Abstract
Molecular prognostic markers are urgently needed in order to improve therapy decisions in prostate cancer. To better understand the requirements for biomarker studies, we re-analyzed prostate cancer tissue microarray immunohistochemistry (IHC) data from 39 prognosis markers in subsets of 50 - >10,000 tumors. We found a strong association between the "prognostic power" of individual markers and the number of tissues that should be minimally included in such studies. The prognostic relevance of more than 90% of the 39 IHC markers could be detected if ≥6400 tissue samples were analyzed. Studying markers of tissue quality, including immunohistochemistry of ets-related gene (ERG) and vimentin, and fluorescence in-situ hybridization analysis of human epidermal growth factor receptor 2 (HER2), we found that 18% of tissues in our tissue microarray (TMA) showed signs of reduced tissue preservation and limited immunoreactivity. Comparing the results of Kaplan-Meier survival analyses or associations to ERG immunohistochemistry in subsets of tumors with and without exclusion of these defective tissues did not reveal statistically relevant differences. In summary, our study demonstrates that TMA-based marker validation studies using biochemical recurrence as an endpoint require at least 6400 individual tissue samples for establishing statistically relevant associations between the expression of molecular markers and patient outcome if weak to moderate prognosticators should also be reliably identified.
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Affiliation(s)
- Christoph Burdelski
- Institute of Pathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany.
| | - Aleksandra Matuszewska
- Institute of Pathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany.
| | - Martina Kluth
- Institute of Pathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany.
| | - Christina Koop
- Institute of Pathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany.
| | - Katharina Grupp
- General, Visceral and Thoracic Surgery Department and Clinic, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany.
| | - Stefan Steurer
- Institute of Pathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany.
| | - Corinna Wittmer
- Institute of Pathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany.
| | - Sarah Minner
- Institute of Pathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany.
| | - Maria Christina Tsourlakis
- Institute of Pathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany.
| | - Guido Sauter
- Institute of Pathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany.
| | - Thorsten Schlomm
- Martini-Clinic, Prostate Cancer Center, Martinistr. 52, 20246, Hamburg, Germany.
- Department of Urology, Section for Translational Prostate Cancer Research, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany.
| | - Ronald Simon
- Institute of Pathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany.
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Canfield SE, Kibel AS, Kemeter MJ, Febbo PG, Lawrence HJ, Moul JW. A guide for clinicians in the evaluation of emerging molecular diagnostics for newly diagnosed prostate cancer. Rev Urol 2014; 16:172-80. [PMID: 25548544 PMCID: PMC4274174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
Prostate-specific antigen (PSA) screening is associated with a decline in prostate cancer-related mortality. However, screening has also led to overdiagnosis and overtreatment of clinically insignificant tumors. Recently, certain national guidelines (eg, US Preventive Services Task Force) have recommended against PSA screening, which may lead to a reverse-stage migration. Although many prostate tumors are indolent at presentation, others are aggressive and are appropriate targets for treatment interventions. Utilization of molecular markers may improve our ability to measure tumor biology and allow better discrimination of indolent and aggressive tumors at diagnosis. Many emerging commercial molecular diagnostic assays have been designed to provide more accurate risk stratification for newly diagnosed prostate cancer. Unfamiliarity with molecular diagnostics may make it challenging for some clinicians to navigate and interpret the medical literature to ascertain whether particular assays are appropriately developed and validated for clinical use. Herein, the authors provide a framework for practitioners to use when assessing new tissue-based molecular assays. This review outlines aspects of assay development, clinical and analytic validation and clinical utility studies, and regulatory issues, which collectively determine whether tests (1) are actionable for specific clinical indications, (2) measurably influence treatment decisions, and (3) are sufficiently validated to warrant incorporation into clinical practice.
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Affiliation(s)
- Steven E Canfield
- Division of Urology, Department of Surgery, The University of Texas Medical School at Houston, Houston, TX
| | - Adam S Kibel
- Division of Urology, Department of Surgery, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Michael J Kemeter
- Departments of Medical Affairs and Oncology Development, Genomic Health, Inc., Redwood City, CA
| | - Phillip G Febbo
- Departments of Medical Affairs and Oncology Development, Genomic Health, Inc., Redwood City, CA
| | - H Jeffrey Lawrence
- Departments of Medical Affairs and Oncology Development, Genomic Health, Inc., Redwood City, CA
| | - Judd W Moul
- Division of Urologic Surgery and Duke Cancer Institute, Duke University Medical Center, Durham, NC
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Karnes RJ, Bergstralh EJ, Davicioni E, Ghadessi M, Buerki C, Mitra AP, Crisan A, Erho N, Vergara IA, Lam LL, Carlson R, Thompson DJS, Haddad Z, Zimmermann B, Sierocinski T, Triche TJ, Kollmeyer T, Ballman KV, Black PC, Klee GG, Jenkins RB. Validation of a genomic classifier that predicts metastasis following radical prostatectomy in an at risk patient population. J Urol 2013; 190:2047-53. [PMID: 23770138 PMCID: PMC4097302 DOI: 10.1016/j.juro.2013.06.017] [Citation(s) in RCA: 240] [Impact Index Per Article: 21.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/05/2013] [Indexed: 01/17/2023]
Abstract
PURPOSE Patients with locally advanced prostate cancer after radical prostatectomy are candidates for secondary therapy. However, this higher risk population is heterogeneous. Many cases do not metastasize even when conservatively managed. Given the limited specificity of pathological features to predict metastasis, newer risk prediction models are needed. We report a validation study of a genomic classifier that predicts metastasis after radical prostatectomy in a high risk population. MATERIALS AND METHODS A case-cohort design was used to sample 1,010 patients after radical prostatectomy at high risk for recurrence who were treated from 2000 to 2006. Patients had preoperative prostate specific antigen greater than 20 ng/ml, Gleason 8 or greater, pT3b or a Mayo Clinic nomogram score of 10 or greater. Patients with metastasis at diagnosis or any prior treatment for prostate cancer were excluded from analysis. A 20% random sampling created a subcohort that included all patients with metastasis. We generated 22-marker genomic classifier scores for 219 patients with available genomic data. ROC and decision curves, competing risk and weighted regression models were used to assess genomic classifier performance. RESULTS The genomic classifier AUC was 0.79 for predicting 5-year metastasis after radical prostatectomy. Decision curves showed that the genomic classifier net benefit exceeded that of clinical only models. The genomic classifier was the predominant predictor of metastasis on multivariable analysis. The cumulative incidence of metastasis 5 years after radical prostatectomy was 2.4%, 6.0% and 22.5% in patients with low (60%), intermediate (21%) and high (19%) genomic classifier scores, respectively (p<0.001). CONCLUSIONS Results indicate that genomic information from the primary tumor can identify patients with adverse pathological features who are most at risk for metastasis and potentially lethal prostate cancer.
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