Abstract
Syngeneic mouse models enable us to study the interaction of the immune system with tumor cells during tumor development and metastasis. It further allows us to evaluate the efficacy of immunotherapies on the different stages of tumor growth and the metastatic process. Here we describe two syngeneic mouse models, a murine mammary carcinoma and a murine melanoma model, that are used to study metastasis. Metastases occur spontaneously in the murine mammary carcinoma. The presence and number of foci are evaluated by culturing the lung tissue in a colony formation assay. For the murine melanoma model, tumor cells are injected intravenously, and metastatic burden is analyzed by counting of metastatic lesions.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Dunn GP, Old LJ, Schreiber RD (2004) The three Es of cancer immunoediting. Annu Rev Immunol 22:329–360. https://doi.org/10.1146/annurev.immunol.22.012703.104803
Turcotte S, Rosenberg SA (2011) Immunotherapy for metastatic solid cancers. Adv Surg 45:341–360
Kaur P, Nagaraja GM, Zheng H, Gizachew D, Galukande M, Krishnan S, Asea A (2012) A mouse model for triple-negative breast cancer tumor-initiating cells (TNBC-TICs) exhibits similar aggressive phenotype to the human disease. BMC Cancer 12:120. https://doi.org/10.1186/1471-2407-12-120
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Science+Business Media, LLC, part of Springer Nature
About this protocol
Cite this protocol
Witt, K., Lundqvist, A. (2019). Evaluation of Breast Cancer and Melanoma Metastasis in Syngeneic Mouse Models. In: Pico de Coaña, Y. (eds) Immune Checkpoint Blockade. Methods in Molecular Biology, vol 1913. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-8979-9_14
Download citation
DOI: https://doi.org/10.1007/978-1-4939-8979-9_14
Published:
Publisher Name: Humana Press, New York, NY
Print ISBN: 978-1-4939-8978-2
Online ISBN: 978-1-4939-8979-9
eBook Packages: Springer Protocols