This item is printed on demand - it takes 3-4 days longer - Neuware -The book has three main results parts. Chapter 3 illustrates the first independent validation study of a 70-gene signature developed from gene expression profiling for use in breast cancer prognosis and demonstration of its ability to add independent prognostic information to the clinical prognostic factors currently used. The successful validation of this study preceded the design and implementation of a world-wide randomized clinical trial evaluating the gene signature s clinical utility. This trial has commenced and is currently recruiting in Europe. Chapter 4 describes the finding that proliferation-related genes can predict clinical outcome consistently in breast cancer and many gene signatures developed for predicting breast cancer prognosis derive a significant proportion of their prognostic power from these genes. Finally, chapter 5 describes the use of proliferation-related genes to define two distinct prognostic molecular subgroups within estrogen receptor positive breast cancers. 280 pp. Englisch.

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Bibliographic Details

Title: The application of gene expression profiling to clinical breast cancer research
Publisher: LAP Lambert Academic Publishing Jan 2014
Publication Date: 2014
Language: English
ISBN 10: 3838329732
ISBN 13: 9783838329734
Binding: Taschenbuch
Condition: Neu
Dimensions: 220 millimeters width by 150 millimeters height by 18 millimeters depth
Weight: 435 grams

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The book has three main results parts. Chapter 3 illustrates the first independent validation study of a 70-gene signature developed from gene expression profiling for use in breast cancer prognosis and demonstration of its ability to add independent prognostic information to the clinical prognostic factors currently used. The successful validation of this study preceded the design and implementation of a world-wide randomized clinical trial evaluating the gene signature’s clinical utility. This trial has commenced and is currently recruiting in Europe. Chapter 4 describes the finding that proliferation-related genes can predict clinical outcome consistently in breast cancer and many gene signatures developed for predicting breast cancer prognosis derive a significant proportion of their prognostic power from these genes. Finally, chapter 5 describes the use of proliferation-related genes to define two distinct prognostic molecular subgroups within estrogen receptor positive breast cancers.

About the Author

MBBS, FRACP, Degree of Doctor of Philosophy, December 2007.

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