Literature DB >> 23266319

Development and clinical validation of a real-time PCR assay for PITX2 DNA methylation to predict prostate-specific antigen recurrence in prostate cancer patients following radical prostatectomy.

Dimo Dietrich1, Oliver Hasinger, Lionel L Bañez, Leon Sun, Geert J van Leenders, Thomas M Wheeler, Chris H Bangma, Nicolas Wernert, Sven Perner, Stephen J Freedland, John M Corman, Michael M Ittmann, Amy L Lark, John F Madden, Arndt Hartmann, Philipp Schatz, Glen Kristiansen.   

Abstract

Prostate cancer is the most common cancer among men. The prospective discrimination of aggressive and clinically insignificant tumors still poses a significant and, as yet, unsolved problem. PITX2 DNA methylation is a strong prognostic biomarker in prostate cancer. Recently, a diagnostic microarray for prostate cancer prognosis based on PITX2 methylation has been developed and validated. Because this microarray requires nonstandard laboratory equipment, its use in a diagnostic setting is limited. This study aimed to develop and validate an alternative quantitative real-time PCR assay for measuring PITX2 methylation that can easily be established in clinical laboratories, thereby facilitating the implementation of this biomarker in clinical practice. A methylation cut-off for patient stratification was established in a training cohort (n = 157) and validated in an independent test set (n = 523) of men treated with radical prostatectomy. In univariate Cox proportional hazards analysis, PITX2 hypermethylation was a significant predictor for biochemical recurrence (P < 0.001, hazard ratio = 2.614). Moreover, PITX2 hypermethylation added significant prognostic information (P = 0.003, hazard ratio = 1.814) to the Gleason score, pathological T stage, prostate-specific antigen, and surgical margins in a multivariate analysis. The clinical performance was particularly high in patients at intermediate risk (Gleason score of 7) and in samples containing high tumor cell content. This assay might aid in risk stratification and support the decision-making process when determining whether a patient might benefit from adjuvant treatment after radical prostatectomy.
Copyright © 2013 American Society for Investigative Pathology and the Association for Molecular Pathology. Published by Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 23266319      PMCID: PMC5707187          DOI: 10.1016/j.jmoldx.2012.11.002

Source DB:  PubMed          Journal:  J Mol Diagn        ISSN: 1525-1578            Impact factor:   5.568


  28 in total

1.  Pitx2 regulates lung asymmetry, cardiac positioning and pituitary and tooth morphogenesis.

Authors:  C R Lin; C Kioussi; S O'Connell; P Briata; D Szeto; F Liu; J C Izpisúa-Belmonte; M G Rosenfeld
Journal:  Nature       Date:  1999-09-16       Impact factor: 49.962

2.  Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method.

Authors:  K J Livak; T D Schmittgen
Journal:  Methods       Date:  2001-12       Impact factor: 3.608

3.  Development and validation of real-time quantitative reverse transcriptase-polymerase chain reaction for monitoring gene expression in cardiac myocytes in vitro.

Authors:  J Winer; C K Jung; I Shackel; P M Williams
Journal:  Anal Biochem       Date:  1999-05-15       Impact factor: 3.365

4.  Analysis of DNA methylation of multiple genes in microdissected cells from formalin-fixed and paraffin-embedded tissues.

Authors:  Dimo Dietrich; Ralf Lesche; Reimo Tetzner; Manuel Krispin; Jörn Dietrich; Wolfgang Haedicke; Matthias Schuster; Glen Kristiansen
Journal:  J Histochem Cytochem       Date:  2009-01-19       Impact factor: 2.479

5.  A preoperative nomogram for disease recurrence following radical prostatectomy for prostate cancer.

Authors:  M W Kattan; J A Eastham; A M Stapleton; T M Wheeler; P T Scardino
Journal:  J Natl Cancer Inst       Date:  1998-05-20       Impact factor: 13.506

6.  Performance evaluation of the DNA methylation biomarker SHOX2 for the aid in diagnosis of lung cancer based on the analysis of bronchial aspirates.

Authors:  Dimo Dietrich; Christoph Kneip; Olaide Raji; Triantafillos Liloglou; Anke Seegebarth; Thomas Schlegel; Nadja Flemming; Sebastian Rausch; Jürgen Distler; Michael Fleischhacker; Bernd Schmidt; Thomas Giles; Martin Walshaw; Chris Warburton; Volker Liebenberg; John K Field
Journal:  Int J Oncol       Date:  2011-11-16       Impact factor: 5.650

7.  DNA methylation of the homeobox genes PITX2 and SHOX2 predicts outcome in non-small-cell lung cancer patients.

Authors:  Dimo Dietrich; Oliver Hasinger; Volker Liebenberg; John K Field; Glen Kristiansen; Alex Soltermann
Journal:  Diagn Mol Pathol       Date:  2012-06

8.  DNA methylation markers predict outcome in node-positive, estrogen receptor-positive breast cancer with adjuvant anthracycline-based chemotherapy.

Authors:  Oliver Hartmann; Frédérique Spyratos; Nadia Harbeck; Dimo Dietrich; Anne Fassbender; Manfred Schmitt; Serenella Eppenberger-Castori; Vincent Vuaroqueaux; Florence Lerebours; Katrin Welzel; Sabine Maier; Achim Plum; Stephan Niemann; John A Foekens; Ralf Lesche; John W M Martens
Journal:  Clin Cancer Res       Date:  2009-01-01       Impact factor: 12.531

9.  Multicenter study using paraffin-embedded tumor tissue testing PITX2 DNA methylation as a marker for outcome prediction in tamoxifen-treated, node-negative breast cancer patients.

Authors:  Nadia Harbeck; Inko Nimmrich; Arndt Hartmann; Jeffrey S Ross; Tanja Cufer; Robert Grützmann; Glen Kristiansen; Angelo Paradiso; Oliver Hartmann; Astrid Margossian; John Martens; Ina Schwope; Antje Lukas; Volkmar Müller; Karin Milde-Langosch; Jörg Nährig; John Foekens; Sabine Maier; Manfred Schmitt; Ralf Lesche
Journal:  J Clin Oncol       Date:  2008-08-18       Impact factor: 44.544

10.  DNA-methylation of the homeodomain transcription factor PITX2 reliably predicts risk of distant disease recurrence in tamoxifen-treated, node-negative breast cancer patients--Technical and clinical validation in a multi-centre setting in collaboration with the European Organisation for Research and Treatment of Cancer (EORTC) PathoBiology group.

Authors:  Sabine Maier; Inko Nimmrich; Thomas Koenig; Serenella Eppenberger-Castori; Inga Bohlmann; Angelo Paradiso; Frédérique Spyratos; Christoph Thomssen; Volkmar Mueller; Jörg Nährig; Francesco Schittulli; Ronald Kates; Ralf Lesche; Ina Schwope; Antje Kluth; Almuth Marx; John W M Martens; John A Foekens; Manfred Schmitt; Nadia Harbeck
Journal:  Eur J Cancer       Date:  2007-06-29       Impact factor: 9.162

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  27 in total

Review 1.  [Molecular biomarkers and prognostic factors for prostate cancer].

Authors:  A Kretschmer; Y Tolkach; J Ellinger; G Kristiansen
Journal:  Urologe A       Date:  2017-07       Impact factor: 0.639

2.  Promoter methylation of the immune checkpoint receptor PD-1 (PDCD1) is an independent prognostic biomarker for biochemical recurrence-free survival in prostate cancer patients following radical prostatectomy.

Authors:  Diane Goltz; Heidrun Gevensleben; Jörn Dietrich; Jörg Ellinger; Jennifer Landsberg; Glen Kristiansen; Dimo Dietrich
Journal:  Oncoimmunology       Date:  2016-09-02       Impact factor: 8.110

Review 3.  Epigenetic biomarkers: Current strategies and future challenges for their use in the clinical laboratory.

Authors:  José Luis García-Giménez; Marta Seco-Cervera; Trygve O Tollefsbol; Carlos Romá-Mateo; Lorena Peiró-Chova; Pablo Lapunzina; Federico V Pallardó
Journal:  Crit Rev Clin Lab Sci       Date:  2017-12-11       Impact factor: 6.250

4.  The landscape of CD28, CD80, CD86, CTLA4, and ICOS DNA methylation in head and neck squamous cell carcinomas.

Authors:  Luka de Vos; Ingela Grünwald; Emma Grace Bawden; Jörn Dietrich; Kathrin Scheckenbach; Constanze Wiek; Romina Zarbl; Friedrich Bootz; Jennifer Landsberg; Dimo Dietrich
Journal:  Epigenetics       Date:  2020-04-21       Impact factor: 4.528

Review 5.  DNA Methylation and Urological Cancer, a Step Towards Personalized Medicine: Current and Future Prospects.

Authors:  Javier C Angulo; Jose I López; Santiago Ropero
Journal:  Mol Diagn Ther       Date:  2016-12       Impact factor: 4.074

6.  CTLA4 methylation predicts response to anti-PD-1 and anti-CTLA-4 immunotherapy in melanoma patients.

Authors:  Diane Goltz; Heidrun Gevensleben; Timo J Vogt; Joern Dietrich; Carsten Golletz; Friedrich Bootz; Glen Kristiansen; Jennifer Landsberg; Dimo Dietrich
Journal:  JCI Insight       Date:  2018-07-12

7.  Improved PCR performance using template DNA from formalin-fixed and paraffin-embedded tissues by overcoming PCR inhibition.

Authors:  Dimo Dietrich; Barbara Uhl; Verena Sailer; Emily Eva Holmes; Maria Jung; Sebastian Meller; Glen Kristiansen
Journal:  PLoS One       Date:  2013-10-14       Impact factor: 3.240

8.  Performance evaluation of kits for bisulfite-conversion of DNA from tissues, cell lines, FFPE tissues, aspirates, lavages, effusions, plasma, serum, and urine.

Authors:  Emily Eva Holmes; Maria Jung; Sebastian Meller; Annette Leisse; Verena Sailer; Julie Zech; Martina Mengdehl; Leif-Alexander Garbe; Barbara Uhl; Glen Kristiansen; Dimo Dietrich
Journal:  PLoS One       Date:  2014-04-03       Impact factor: 3.240

Review 9.  DNA methylation biomarkers: cancer and beyond.

Authors:  Thomas Mikeska; Jeffrey M Craig
Journal:  Genes (Basel)       Date:  2014-09-16       Impact factor: 4.096

Review 10.  Cancer diagnostic classifiers based on quantitative DNA methylation.

Authors:  Attila T Lorincz
Journal:  Expert Rev Mol Diagn       Date:  2014-04       Impact factor: 5.225

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