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Murine Models, Energy Balance, and Cancer

Overview of attention for book
Cover of 'Murine Models, Energy Balance, and Cancer'

Table of Contents

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    Book Overview
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    Chapter 1 Relevance of Circadian Rhythm in Cancer
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    Chapter 2 Environmental Manipulation and Neuropeptide Effects on Energy Balance and Cancer
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    Chapter 3 The MRL Mouse: A Model of Regeneration and Cancer
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    Chapter 4 Living Large: What Mouse Models Reveal about Growth Hormone and Obesity
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    Chapter 5 Mouse Models to Study Obesity Effects on Hematologic Malignancies
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    Chapter 6 Energy Balance, IGF-1, and Cancer: Causal Lessons from Genetically Engineered Mice
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    Chapter 7 Mouse Models to Study Leptin in Breast Cancer Stem Cells
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    Chapter 8 Mouse Models Used to Study the Effects of Diabetes, Insulin, and IGFs on Cancer
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    Chapter 9 Impact of Energy Balance on Chemically Induced Mammary Carcinogenesis in a Rat
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    Chapter 10 Models and Mechanisms of High-Fat Diet (HFD) Promotion of Pancreatic Cancer
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    Chapter 11 Maternal Energetics and the Developmental Origins of Prostate Cancer in Offspring
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    Chapter 12 Mouse Models to Study the Effect of Natural Products on Obesity-Associated NAFLD/NASH
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    Chapter 13 Mouse Models to Study Metformin Effects in Carcinogenesis
Attention for Chapter 7: Mouse Models to Study Leptin in Breast Cancer Stem Cells
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Citations

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Chapter title
Mouse Models to Study Leptin in Breast Cancer Stem Cells
Chapter number 7
Book title
Murine Models, Energy Balance, and Cancer
Published by
Springer, Cham, January 2015
DOI 10.1007/978-3-319-16733-6_7
Book ISBNs
978-3-31-916732-9, 978-3-31-916733-6
Authors

Praveena S. Thiagarajan, Ofer Reizes

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 100%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 100%

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