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Dive into the research topics where Ina Schwope is active.

Publication


Featured researches published by Ina Schwope.


Journal of Clinical Oncology | 2008

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

Nadia Harbeck; Inko Nimmrich; Arndt Hartmann; Jeffrey S. Ross; Tanja Cufer; Robert Grützmann; Glen Kristiansen; Angelo Paradiso; Oliver Hartmann; Astrid Margossian; John W.M. Martens; Ina Schwope; Antje Lukas; Volkmar Müller; Karin Milde-Langosch; Jörg Nährig; John A. Foekens; Sabine Maier; Manfred Schmitt; Ralf Lesche

PURPOSE We recently reported DNA methylation of the paired-like homeodomain transcription factor 2 (PITX2) gene to be strongly correlated with increased risk of recurrence in node-negative, hormone receptor-positive, tamoxifen-treated breast cancer patients using fresh frozen specimens. Aims of the present study were to establish determination of PITX2 methylation for routine analysis in formalin-fixed paraffin-embedded (FFPE) breast cancer tissue and to test PITX2 DNA methylation as a biomarker for outcome prediction in an independent patient cohort. PATIENTS AND METHODS Real-time polymerase chain reaction (PCR) technology was validated for FFPE tissue by comparing methylation measurements in FFPE specimens with those in fresh frozen specimens from the same tumor. The impact of PITX2 methylation on time to distant metastasis was then evaluated in FFPE specimens from hormone receptor-positive, node-negative breast cancer patients (n = 399, adjuvant tamoxifen monotherapy). RESULTS Reproducibility of the PCR assay in replicate measurements (r(s) > or = 0.95; n = 150) and concordant measurements between fresh frozen and FFPE tissues (r(s) = 0.81; n = 89) were demonstrated. In a multivariate model, PITX2 methylation added significant information (hazard ratio = 2.35; 95% CI, 1.20 to 4.60) to established prognostic factors (tumor size, grade, and age). CONCLUSION PITX2 methylation can be reliably assessed by real-time PCR technology in FFPE tissue. Together with our earlier studies, we have accumulated substantial evidence that PITX2 methylation analysis holds promise as a practical assay for routine clinical use to predict outcome in node-negative, tamoxifen-treated breast cancer, which might allow, based on future validation studies, the identification of low-risk patients who may be treated by tamoxifen alone.


Nucleic Acids Research | 2002

Tumour class prediction and discovery by microarray-based DNA methylation analysis

Peter Adorjan; Jürgen Distler; Evelyne Lipscher; Fabian Model; Jürgen E. Müller; Cécile Pelet; Aron Braun; Andrea R. Florl; David Gütig; Gabi Grabs; André Howe; Mischo Kursar; Ralf Lesche; Erik Leu; André Lewin; Sabine Maier; Volker Müller; Thomas D. Otto; Christian W. Scholz; Wolfgang A. Schulz; Hans-Helge Seifert; Ina Schwope; Heike Ziebarth; Kurt Berlin; Christian Piepenbrock; Alexander Olek


Nucleic Acids Research | 2004

A real‐time PCR assay for DNA‐methylation using methylation‐specific blockers

Susan Cottrell; Jürgen Distler; Nancy S. Goodman; Suzanne Mooney; Antje Kluth; Alexander Olek; Ina Schwope; Reimo Tetzner; Heike Ziebarth; Kurt Berlin


European Journal of Cancer | 2007

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

Sabine Maier; Inko Nimmrich; Thomas Koenig; Serenella Eppenberger-Castori; Inga Bohlmann; Angelo Paradiso; Frédérique Spyratos; Christoph Thomssen; Volkmar Mueller; Jörg Nährig; Francesco Schittulli; Ronald E. Kates; Ralf Lesche; Ina Schwope; Antje Kluth; Almuth Marx; John W.M. Martens; John A. Foekens; Manfred Schmitt; Nadia Harbeck


Breast Cancer Research and Treatment | 2008

DNA hypermethylation of PITX2 is a marker of poor prognosis in untreated lymph node-negative hormone receptor-positive breast cancer patients.

Inko Nimmrich; Anieta M. Sieuwerts; Marion E. Meijer-van Gelder; Ina Schwope; Joan Bolt-de Vries; Nadia Harbeck; Thomas Koenig; Oliver Hartmann; Antje Kluth; Dimo Dietrich; Viktor Magdolen; Henk Portengen; Maxime P. Look; J.G.M. Klijn; Ralf Lesche; Manfred Schmitt; Sabine Maier; John A. Foekens; John W.M. Martens


Archive | 2004

Method and Nucleic Acids for the Improved Treatment of Breast Cell Proliferative Disorders

John Foekens; Nadia Harbeck; Thomas Koenig; Sabine Maier; John Martens; Fabian Model; Inko Nimmrich; Manfred Schmitt; Ralf Lesche; Dimo Dietrich; Volkmar Mueller; Antje Kluth; Ina Schwope; Oliver Hartmann; Peter Adorjan; Almuth Marx; Heinz Hoefler


Archive | 2005

Method for the quantification of methylated dna

David Gütig; Dirk Habighorst; Antje Kluth; Armin Schmitt; Matthias Schuster; Ina Schwope


Archive | 2004

Prognostic markers for prediction of treatment response and/or survival of breast cell proliferative disorder patients

Dimo Dietrich; John Foekens; Nadja Harbeck; Oliver Hartmann; Antje Kluth; Thomas König; Ralf Lesche; Sabine Maier; John Martens; Fabian Model; Volkmar c; Inko Nimmrich; Tamas Rujan; Manfred Schmitt; Ina Schwope


Archive | 2004

Methods for the prognosis of breast cancer

John Foekens; Nadia Harbeck; Thomas Koenig; Sabine Maier; John Martens; Fabian Model; Inko Nimmrich; Manfred Schmitt; Ralf Lesche; Dimo Dietrich; Volkmar Mueller; Antje Lukas; Ina Schwope; Oliver Hartmann; Peter Adorjan; Almuth Marx; Heinz Hoefler


Archive | 2004

Marker zur Prognose der Reaktion auf Therapie bzw. der Überlebensrate von Brustkrebspatienten Marker for predicting the response to therapy and the survival rate of breast cancer patients

John A. Foekens; Nadia Harbeck; Thomas Koenig; Sabine Maier; John W. M. Martens; Fabian Model; Inko Nimmrich; Tamas Rujan; Manfred Schmitt; Ralf Lesche; Dimo Dietrich; Volkmar Mueller; Antje Kluth; Ina Schwope; Oliver Hartmann; Heinz Hoefler; Peter Adorjan

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Dimo Dietrich

University Hospital Bonn

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Peter Adorjan

Technical University of Berlin

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John A. Foekens

Erasmus University Rotterdam

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