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Colorectal Cancer

Overview of attention for book
Cover of 'Colorectal Cancer'

Table of Contents

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    Book Overview
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    Chapter 1 Cell Line Models of Molecular Subtypes of Colorectal Cancer
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    Chapter 2 Dissecting Oncogenic RTK Pathways in Colorectal Cancer Initiation and Progression
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    Chapter 3 Identification of Response Elements on Promoters Using Site-Directed Mutagenesis and Chromatin Immunoprecipitation
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    Chapter 4 Identification and Functional Analysis of Gene Regulatory Sequences Interacting with Colorectal Tumor Suppressors
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    Chapter 5 Methods for In Vivo Functional Studies of Chromatin-Modifying Enzymes in Early Steps of Colon Carcinogenesis
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    Chapter 6 The Colorectal Cancer Microenvironment: Strategies for Studying the Role of Cancer-Associated Fibroblasts
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    Chapter 7 Methods for Assessing Apoptosis and Anoikis in Normal Intestine/Colon and Colorectal Cancer
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    Chapter 8 Molecular Analysis of the Microbiome in Colorectal Cancer
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    Chapter 9 Proteomics Analysis of Colorectal Cancer Cells
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    Chapter 10 Autophagic Flux Assessment in Colorectal Cancer Cells
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    Chapter 11 Classification of Colorectal Cancer in Molecular Subtypes by Immunohistochemistry
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    Chapter 12 Stool DNA Integrity Method for Colorectal Cancer Detection
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    Chapter 13 RT-qPCR for Fecal Mature MicroRNA Quantification and Validation
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    Chapter 14 A Stool Multitarget mRNA Assay for the Detection of Colorectal Neoplasms
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    Chapter 15 Colorectal Cancer Detection Using Targeted LC-MS Metabolic Profiling
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    Chapter 16 Proteomic Profiling for Colorectal Cancer Biomarker Discovery
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    Chapter 17 Tumor-Derived Microparticles to Monitor Colorectal Cancer Evolution
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    Chapter 18 Molecular Testing for the Treatment of Advanced Colorectal Cancer: An Overview
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    Chapter 19 Testing Cell-Based Immunotherapy for Colorectal Cancer
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    Chapter 20 Patient-Derived Xenograft Models of Colorectal Cancer: Procedures for Engraftment and Propagation
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    Chapter 21 Use of Organoids to Characterize Signaling Pathways in Cancer Initiation
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    Chapter 22 Identification of Novel Molecules Targeting Cancer Stem Cells
Attention for Chapter 20: Patient-Derived Xenograft Models of Colorectal Cancer: Procedures for Engraftment and Propagation
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Chapter title
Patient-Derived Xenograft Models of Colorectal Cancer: Procedures for Engraftment and Propagation
Chapter number 20
Book title
Colorectal Cancer
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7765-9_20
Pubmed ID
Book ISBNs
978-1-4939-7764-2, 978-1-4939-7765-9
Authors

Danielle M. Burgenske, David J. Monsma, Jeffrey P. MacKeigan

Abstract

Preclinical compounds tested in animal models often demonstrate limited efficacy when transitioned into patients. As a result, individuals are assigned to treatment regimens that may be ineffective at treating their disease. The development of more clinically relevant models, such as patient-derived xenografts (PDXs), will (1) more completely mimic the human condition and (2) more accurately predict tumor responses to previously untested therapeutics.PDX models are clinically relevant as tumor tissue is implanted directly from human donor to the mouse recipient. Therefore, these models prevent cell population selection, intentional or unintentional, as the human tissue adapts to an in vitro, two-dimensional environment prior to implantation into a three-dimensional in vivo murine host. Often, cell heterogeneity and tumor architecture can be maintained from human to the PDX model in the mouse. This protocol describes the engraftment and propagation processes for establishing colorectal (CRC) PDX models in mice, using tumor tissue from human subjects.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 15%
Researcher 2 15%
Unspecified 1 8%
Student > Master 1 8%
Other 1 8%
Other 2 15%
Unknown 4 31%
Readers by discipline Count As %
Medicine and Dentistry 2 15%
Biochemistry, Genetics and Molecular Biology 2 15%
Agricultural and Biological Sciences 2 15%
Unspecified 1 8%
Nursing and Health Professions 1 8%
Other 0 0%
Unknown 5 38%