Click to Enlarge

Modeling Cancer in Mice

Book Series:  A Cold Spring Harbor Perspectives in Medicine Collection
Subject Area(s):  Cell BiologyCancer Biology

Edited by Katerina Politi, Yale School of Medicine; Corey Abate-Shen, Columbia University Irving Medical Center

Due July 2024 • 250 pages (approx.), illustrated, index
Hardcover •
ISBN  978-1-621824-72-5

  •     Description    
  •     Contents    


Mouse models are important both for understanding how cancers develop and for studies of potential therapeutic approaches. This volume summarizes recent progress in the development of mouse cancer models and how it is being applied in studies of numerous different cancers.


Modeling Cancer in Mice Editors: Katerina Politi and Corey Abate-Shen
Section 1. Advances in studying cancer progression in mouse models
Mutations, Bottlenecks, and Clonal Sweeps: How Environmental Carcinogens and Genomic Changes Shape Clonal Evolution During Tumor Progression
Melissa Q. Reeves and Allan Balmain
Mouse Models of Metastasis and Dormancy
Ahmed Mahmoud and Karuna Ganesh
Preclinical Modeling of Pathway-Targeted Therapy of Human Lung Cancer in the Mouse
Aria Vaishnavi, Conan G. Kinsey, and Martin McMahon
Section 2. Studying hallmarks of cancer in mouse models
Cellular Origins and Lineage Plasticity in Cancer
Jason R. Pitarresi and Ben Z. Stanger
Cancer Immunology
Marcus Bosenberg
Approaches to Study Tumor Metabolism in Mice
Yetis Gultekin, Matthew G. Vander Heiden, and Evan C. Lien
Mouse Models to Evaluate the Functional Role of the Tumor Microenvironment in Cancer Progression and Therapy Responses
Kathleen M. McAndrews, Krishnan K. Mahadevan, and Raghu Kalluri
Monitoring the Cell Cycle of Tumor Cells in Mouse Models of Human Cancer
Taylar Hammond and Julien Sage
Section 3. Technological advances that have elevated the generation or analyses of mouse models
Advances in Making Cancer Mouse Models More Accessible and Informative through Non-Germline Genetic Engineering
Katherine C. Murphy and Marcus Ruscetti
How CRISPR is Revolutionizing the Generation of New Models for Cancer Research
Francisco J. Sánchez Rivera and Lukas E. Dow
High-Throughput Identification, Modeling, and Analysis of Cancer Driver Genes In Vivo
Yuning J. Tang, Emily G. Shuldiner, Saswati Karmakar, and Monte M. Winslow
Imaging Approaches in Cancer Biology
Nirakar Rajbhandari, Emily Diaz, Marcie Kritzik, and Tannishtha Reya
Addressing Biological Questions with Preclinical Cancer Imaging
Chris B. Damoci, Joseph R. Merrill, Yanping Sun, Scott K. Lyons, and Kenneth P. Olive
Patient-Derived-Xenografts in Mice: A Preclinical Platform for Cancer Research
Emiliano Cocco and Elisa de Stanchina
Next-Generation Modeling of Cancer Using Organoids
Jillian R. Love and Wouter R. Karthaus