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ProstaTrend-A Multivariable Prognostic RNA Expression Score for Aggressive Prostate Cancer.
Kreuz, Markus; Otto, Dominik J; Fuessel, Susanne; Blumert, Conny; Bertram, Catharina; Bartsch, Sophie; Loeffler, Dennis; Puppel, Sven-Holger; Rade, Michael; Buschmann, Tilo; Christ, Sabina; Erdmann, Kati; Friedrich, Maik; Froehner, Michael; Muders, Michael H; Schreiber, Stephan; Specht, Michael; Toma, Marieta I; Benigni, Fabio; Freschi, Massimo; Gandaglia, Giorgio; Briganti, Alberto; Baretton, Gustavo B; Loeffler, Markus; Hackermüller, Jörg; Reiche, Kristin; Wirth, Manfred; Horn, Friedemann.
Afiliação
  • Kreuz M; Department of Diagnostics, Fraunhofer Institute for Cell Therapy and Immunology, Leipzig, Germany; Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany.
  • Otto DJ; Department of Diagnostics, Fraunhofer Institute for Cell Therapy and Immunology, Leipzig, Germany; Institute of Clinical Immunology, Faculty of Medicine, University of Leipzig, Leipzig, Germany.
  • Fuessel S; Department of Urology, University Hospital and Faculty of Medicine, Technische Universität Dresden, Dresden, Germany.
  • Blumert C; Department of Diagnostics, Fraunhofer Institute for Cell Therapy and Immunology, Leipzig, Germany; Institute of Clinical Immunology, Faculty of Medicine, University of Leipzig, Leipzig, Germany.
  • Bertram C; Department of Diagnostics, Fraunhofer Institute for Cell Therapy and Immunology, Leipzig, Germany.
  • Bartsch S; Department of Diagnostics, Fraunhofer Institute for Cell Therapy and Immunology, Leipzig, Germany.
  • Loeffler D; Department of Diagnostics, Fraunhofer Institute for Cell Therapy and Immunology, Leipzig, Germany; Institute of Clinical Immunology, Faculty of Medicine, University of Leipzig, Leipzig, Germany.
  • Puppel SH; Department of Diagnostics, Fraunhofer Institute for Cell Therapy and Immunology, Leipzig, Germany.
  • Rade M; Department of Diagnostics, Fraunhofer Institute for Cell Therapy and Immunology, Leipzig, Germany.
  • Buschmann T; Department of Diagnostics, Fraunhofer Institute for Cell Therapy and Immunology, Leipzig, Germany.
  • Christ S; Department of Diagnostics, Fraunhofer Institute for Cell Therapy and Immunology, Leipzig, Germany.
  • Erdmann K; Department of Urology, University Hospital and Faculty of Medicine, Technische Universität Dresden, Dresden, Germany; National Center for Tumor Diseases (NCT), Dresden, Germany.
  • Friedrich M; Department of Diagnostics, Fraunhofer Institute for Cell Therapy and Immunology, Leipzig, Germany; Institute of Clinical Immunology, Faculty of Medicine, University of Leipzig, Leipzig, Germany.
  • Froehner M; Department of Urology, University Hospital and Faculty of Medicine, Technische Universität Dresden, Dresden, Germany; Department of Urology, Zeisigwaldkliniken Bethanien, Chemnitz, Germany.
  • Muders MH; Institute of Pathology, University Hospital and Faculty of Medicine, Technische Universität Dresden, Dresden, Germany; Rudolf-Becker-Laboratory for Prostate Cancer Research, Institute of Pathology, University of Bonn Medical Center, Bonn, Germany.
  • Schreiber S; Helmholtz Centre for Environmental Research-UFZ, Leipzig, Germany.
  • Specht M; Department of Diagnostics, Fraunhofer Institute for Cell Therapy and Immunology, Leipzig, Germany.
  • Toma MI; Institute of Pathology, University Hospital and Faculty of Medicine, Technische Universität Dresden, Dresden, Germany.
  • Benigni F; Department of Urology and Division of Experimental Oncology, URI, Vita-Salute San Raffaele University, IRCCS San Raffaele Scientific Institute, Milan, Italy.
  • Freschi M; Pathology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.
  • Gandaglia G; Department of Urology and Division of Experimental Oncology, URI, Vita-Salute San Raffaele University, IRCCS San Raffaele Scientific Institute, Milan, Italy.
  • Briganti A; Department of Urology and Division of Experimental Oncology, URI, Vita-Salute San Raffaele University, IRCCS San Raffaele Scientific Institute, Milan, Italy.
  • Baretton GB; Institute of Pathology, University Hospital and Faculty of Medicine, Technische Universität Dresden, Dresden, Germany.
  • Loeffler M; Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany.
  • Hackermüller J; Helmholtz Centre for Environmental Research-UFZ, Leipzig, Germany.
  • Reiche K; Department of Diagnostics, Fraunhofer Institute for Cell Therapy and Immunology, Leipzig, Germany; Institute of Clinical Immunology, Faculty of Medicine, University of Leipzig, Leipzig, Germany. Electronic address: kristin.reiche@izi.fraunhofer.de.
  • Wirth M; Department of Urology, University Hospital and Faculty of Medicine, Technische Universität Dresden, Dresden, Germany.
  • Horn F; Department of Diagnostics, Fraunhofer Institute for Cell Therapy and Immunology, Leipzig, Germany; Institute of Clinical Immunology, Faculty of Medicine, University of Leipzig, Leipzig, Germany.
Eur Urol ; 78(3): 452-459, 2020 09.
Article em En | MEDLINE | ID: mdl-32631745
BACKGROUND: Prostate cancer (PCa) is the most prevalent solid cancer among men in Western Countries. The clinical behavior of localized PCa is highly variable. Some cancers are aggressive leading to death, while others can even be monitored safely. Hence, there is a high clinical need for precise biomarkers for identification of aggressive disease in addition to established clinical parameters. OBJECTIVE: To develop an RNA expression-based score for the prediction of PCa prognosis that facilitates clinical decision making. DESIGN, SETTING, AND PARTICIPANTS: We assessed 233 tissue specimens of PCa patients with long-term follow-up data from fresh-frozen radical prostatectomies (RPs), from formalin-fixed and paraffin-embedded RP specimens and biopsies by transcriptome-wide next-generation sequencing and customized expression microarrays. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: We applied Cox proportional hazard models to the cohorts from different platforms and specimen types. Evidence from these models was combined by fixed-effect meta-analysis to identify genes predictive of the time to death of disease (DoD). Genes were combined by a weighted median approach into a prognostic score called ProstaTrend and transferred for the prediction of biochemical recurrence (BCR) after RP in an independent cohort of The Cancer Genome Atlas (TCGA). RESULTS AND LIMITATIONS: ProstaTrend comprising ∼1400 genes was significantly associated with DoD in the training cohort of PCa patients treated by RP (leave-one-out cross-validation, Cox regression: p=2e-09) and with BCR in the TCGA validation cohort (Cox regression: p=3e-06). The prognostic impact persisted after multivariable Cox regression analysis adjusting for Gleason grading group (GG) ≥3 and resection status (p=0.001; DoD, training cohort) and for GG≥3, pathological stage ≥T3, and resection state (p=0.037; BCR, validation cohort). CONCLUSIONS: ProstaTrend is a transcriptome-based score that predicts DoD and BCR in cohorts of PCa patients treated with RP. PATIENT SUMMARY: ProstaTrend provides molecular patient risk stratification after radical prostatectomy.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Próstata / RNA Neoplásico / Transcriptoma Tipo de estudo: Prognostic_studies Limite: Humans / Male Idioma: En Revista: Eur Urol Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Alemanha País de publicação: Suíça

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Próstata / RNA Neoplásico / Transcriptoma Tipo de estudo: Prognostic_studies Limite: Humans / Male Idioma: En Revista: Eur Urol Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Alemanha País de publicação: Suíça