Volume 118, Issue 1 pp. 115-122
Cancer Genetics

Novel strategy for optimal sequential application of clinical criteria, immunohistochemistry and microsatellite analysis in the diagnosis of hereditary nonpolyposis colorectal cancer

Christoph Engel

Corresponding Author

Christoph Engel

Institute of Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany

Fax: +49-341-9716109.

Institute for Medical Informatics, Statistics and Epidemiology, Haertelstrasse 16-18, 04107 Leipzig, GermanySearch for more papers by this author
Jochen Forberg

Jochen Forberg

Institute of Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany

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Elke Holinski-Feder

Elke Holinski-Feder

Department of Medical Genetics, Ludwig Maximilians University, Munich, Germany

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Constanze Pagenstecher

Constanze Pagenstecher

Institute of Human Genetics, University Hospital, Bonn, Germany

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Jens Plaschke

Jens Plaschke

Department of Surgical Research, Dresden University of Technology, Dresden, Germany

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Matthias Kloor

Matthias Kloor

Department of Molecular Pathology, Institute of Pathology, University of Heidelberg, Heidelberg, Germany

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Christopher Poremba

Christopher Poremba

Department of Pathology, Heinrich Heine University, Düsseldorf, Germany

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Christian P. Pox

Christian P. Pox

Medical Department, Knappschaftskrankenhaus, Ruhr University Bochum, Bochum, Germany

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Josef Rüschoff

Josef Rüschoff

Department of Pathology, Klinikum Kassel, Kassel, Germany

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Gisela Keller

Gisela Keller

Institute of Pathology, Klinikum rechts der Isar, Technical University, Munich, Germany

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Wolfgang Dietmaier

Wolfgang Dietmaier

Institute of Pathology, University Regensburg, Regensburg, Germany

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Petra Rümmele

Petra Rümmele

Institute of Pathology, University Regensburg, Regensburg, Germany

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Nicolaus Friedrichs

Nicolaus Friedrichs

Institute of Pathology, University of Bonn, Bonn, Germany

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Elisabeth Mangold

Elisabeth Mangold

Institute of Human Genetics, University Hospital, Bonn, Germany

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Reinhard Buettner

Reinhard Buettner

Institute of Pathology, University of Bonn, Bonn, Germany

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Hans K. Schackert

Hans K. Schackert

Department of Surgical Research, Dresden University of Technology, Dresden, Germany

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Peter Kienle

Peter Kienle

Department of Surgery, University Hospital of Heidelberg, Heidelberg, Germany

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Susanne Stemmler

Susanne Stemmler

Institute of Human Genetics, Ruhr University Bochum, Bochum, Germany

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Gabriela Moeslein

Gabriela Moeslein

Department of Surgery, Heinrich Heine University, Düsseldorf, Germany

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Markus Loeffler

Markus Loeffler

Institute of Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany

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the German HNPCC Consortium

the German HNPCC Consortium

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First published: 26 October 2005
Citations: 76

Abstract

Clinical criteria, microsatellite analysis (MSA) and immunohistochemistry (IHC) are important diagnostic tools for identification of hereditary nonpolyposis colorectal cancer (HNPCC) patients who are likely to carry pathogenic germline mutations in mismatch repair genes. Based on MSA and IHC results and subsequent mutation analyses of 1,119 unrelated index patients meeting the Amsterdam II criteria or the classical Bethesda guidelines, we analyzed the value of these tools to predict MLH1 and MSH2 mutations with the aim of establishing optimal strategies for their most efficient sequential use. The overall prevalence of pathogenic germline mutations in our cohort was 20.6% (95% CI = 18.3–23.0%) and 61.8% (95% CI = 56.8–66.6%), respectively, after MSA/IHC-based preselection. IHC was highly predictive (99.1%) and specific (99.6%) with regard to MSA. However, 14 out of 230 mutations (6%) escaped detection by IHC. Thus, IHC cannot be recommended to substitute MSA fully. Nonetheless, IHC is important to indicate the gene that is likely to be affected. To combine both methods efficiently, we propose a novel screening strategy that provides 2 alternative ways of sequential IHC and MSA application, either using IHC or MSA in the first place. A logistic regression model based on the age of the index patient at first tumor diagnosis and the number of fulfilled HNPCC criteria is used to allocate individual patients to that alternative pathway that is expected to be least expensive. A cost analysis reveals that about 25% of the costs can be saved using this strategy. © 2005 Wiley-Liss, Inc.

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