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Precision Molecular Pathology of Breast Cancer

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Cover of 'Precision Molecular Pathology of Breast Cancer'

Table of Contents

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    Book Overview
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    Chapter 1 Molecular Basis of Breast Cancer Imaging
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    Chapter 2 Familial Breast Cancer and Genetic Predisposition in Breast Cancer
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    Chapter 3 Modelling the Molecular Pathology of Breast Cancer Initiation
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    Chapter 4 Molecular Pathology of Precancerous Lesions of the Breast
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    Chapter 5 Breast Cancer Stem Cells: Role in Tumor Initiation, Progression, and Targeted Therapy
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    Chapter 6 Molecular Pathology of Pre-Invasive Ductal Carcinoma
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    Chapter 7 Molecular Pathology of Lobular Carcinoma
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    Chapter 8 Molecular Pathology of Hormone Regulation in Breast Cancer: Hormone Receptor Evaluation and Therapeutic Implications
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    Chapter 9 Molecular Pathology of HER Family of Oncogenes in Breast Cancer: HER-2 Evaluation and Role in Targeted Therapy
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    Chapter 10 Molecular Classification of Breast Cancer
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    Chapter 11 Triple-Negative Breast Cancer: Subtypes with Clinical Implications
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    Chapter 12 Molecular-Based Diagnostic, Prognostic and Predictive Tests in Breast Cancer
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    Chapter 13 Role of MicroRNAs in Breast Cancer
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    Chapter 14 Molecular Pathology of Fibroepithelial Neoplasms of the Breast
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    Chapter 15 Molecular Features of Mesenchymal Tumors of the Breast
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    Chapter 16 Molecular Pathology of Breast Cancer Metastasis
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    Chapter 17 The Molecular Pathology of Chemoresistance During the Therapeutic Response in Breast Cancer
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    Chapter 18 The Molecular Pathology of Male Breast Cancer
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    Chapter 19 Specimens for Molecular Testing in Breast Cancer
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Title
Precision Molecular Pathology of Breast Cancer
Published by
Springer-Verlag New York, January 2015
DOI 10.1007/978-1-4939-2886-6
ISBNs
978-1-4939-2885-9, 978-1-4939-2886-6
Editors

Ashraf Khan, Ian O. Ellis, Andrew M. Hanby, Ediz F. Cosar, Emad A. Rakha, Dina Kandil

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 29%
Student > Bachelor 5 24%
Student > Master 5 24%
Student > Doctoral Student 1 5%
Professor > Associate Professor 1 5%
Other 0 0%
Unknown 3 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 38%
Agricultural and Biological Sciences 7 33%
Medicine and Dentistry 2 10%
Computer Science 1 5%
Unknown 3 14%