Gene Expression Profiling by Microarrays: Clinical Implications

doi:10.1017/CBO9780511545849

Microarray analysis is a highly efficient tool for assessing the expression of a large number of genes simultaneously, and offers a new means to classify cancer and other diseases. Gene expression profiling can also be used to predict clinical outcome and response to specific therapeutic agents. This survey spans recent applications of microarrays in clinical medicine, covering malignant disease including acute leukaemias, lymphoid malignancies and breast cancer, together with diabetes and heart disease. Investigators in oncology, pharmacology and related clinical sciences, as well as basic scientists, will value this review of a promising new diagnostic and prognostic technology.

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Contents

Frontmatter
pp i-vi
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Contents
pp vii-viii
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List of contributors
pp ix-xii
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Foreword
pp xiii-xvi
- By Eckhard Thiel
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Introduction
pp 1-7
- By Wolf-Karsten Hofmann, Department of Hematology and Oncology, University Hospital Benjamin Franklin, Berlin, Germany
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1 - Technique of microarrays: microarray platforms
pp 8-26
- By Sven de Vos, UCLA Medical Center, Los Angeles, CA, USA
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2 - Quantitative quality control of microarray experiments: toward accurate gene expression measurements
pp 27-46
- By Xujing Wang, The Medical College of Wisconsin and Children's Research Institute of the Children's Hospital of Wisconsin, Milwaukee, WI, USA, Martin J. Hessner, The Human and Molecular Genetics Center, The Medical College of Wisconsin, Milwaukee, WI, USA
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3 - Statistical analysis of gene expression data
pp 47-79
- By David A. Elashoff, Department of Biostatistics, UCLA School of Public Health, Los Angeles, CA, USA
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4 - Genomic stratification in patients with heart failure
pp 80-105
- By Tara A. Bullard, Cardiovascular Research Institute, University of Rochester Medical Centre, NY, Frédérick Aguilar, Cardiovascular Research Institute, University of Rochester Medical Centre, NY, Jennifer L. Hall, Lillehei Heart Institute, University of Minnesota, Minneapolis, MI, Burns C. Blaxall, Cardiovascular Research Institute, University of Rochester Medical Centre, NY
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5 - Gene expression profiling for the diagnosis of acute leukemias
pp 106-131
- By Torsten Haferlach, MLL – Munich Leukemia Laboratory, Germany, Alexander Kohlmann, Roche Molecular Systems, Pleasanton, CA, USA, Susanne Schnittger, MLL – Munich Leukemia Laboratory, Germany, Claudia Schoch, MLL – Munich Leukemia Laboratory, Germany, Wolfgang Kern, MLL – Munich Leukemia Laboratory, Germany
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6 - Gene expression profiling can distinguish tumor subclasses of breast carcinomas
pp 132-161
- By Ingrid A. Hedenfalk, Department of Oncology, Lund University, Sweden
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7 - Gene expression profiling in lymphoid malignancies
pp 162-186
- By Christof Burek, Institute of Pathology, University of Wuerzburg, Germany, Elena Hartmann, Institute of Pathology, University of Wuerzburg, Germany, Zhengrong Mao, Institute of Pathology, University of Wuerzburg, Germany, German Ott, Institute of Pathology, University of Wuerzburg, Germany, Andreas Rosenwald, Institute of Pathology, University of Wuerzburg, Germany
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8 - mRNA profiling of pancreatic beta-cells: investigating mechanisms of diabetes
pp 187-211
- By Leentje Van Lommel, Gene Expression Unit, Department of Molecular Cell Biology, K. U. Leuven, Belgium, Yves Moreau, Department of Electrical Engineering, ESAT–SCD, K. U. Leuven, Belgium, Daniel Pipeleers, Diabetes Research Center, Vrije Universiteit Brussel, Belgium, Jean-Christophe Jonas, Unit of Endocrinology and Metabolism, Faculty of Medicine, Université Catholique de Louvain, Brussels, Belgium, Frans Schuit, Gene Expression Unit, Department of Molecular Cell Biology, K. U. Leuven, Belgium
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9 - Prediction of response and resistance to treatment by gene expression profiling
pp 212-237
- By Philipp Kiewe, Department of Hematology and Oncology, University Hospital Benjamin Franklin, Berlin, Germany, Wolf-Karsten Hofmann, Department of Hematology and Oncology, University Hospital Benjamin Franklin, Berlin, Germany
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Index
pp 238-246
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Gene Expression Profiling by Microarrays

Clinical Implications

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Contents

Frontmatter
pp i-vi

Contents
pp vii-viii

List of contributors
pp ix-xii

Foreword
pp xiii-xvi

Introduction
pp 1-7

1 - Technique of microarrays: microarray platforms
pp 8-26

2 - Quantitative quality control of microarray experiments: toward accurate gene expression measurements
pp 27-46

3 - Statistical analysis of gene expression data
pp 47-79

4 - Genomic stratification in patients with heart failure
pp 80-105

5 - Gene expression profiling for the diagnosis of acute leukemias
pp 106-131

6 - Gene expression profiling can distinguish tumor subclasses of breast carcinomas
pp 132-161

7 - Gene expression profiling in lymphoid malignancies
pp 162-186

8 - mRNA profiling of pancreatic beta-cells: investigating mechanisms of diabetes
pp 187-211

9 - Prediction of response and resistance to treatment by gene expression profiling
pp 212-237

Index
pp 238-246

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Gene Expression Profiling by Microarrays

Clinical Implications

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