Insights from transgenic mouse models of PyMT-induced breast cancer: recapitulating human breast cancer progression in vivo

Breast cancer is associated with the second highest cancer-associated deaths worldwide. Therefore, understanding the key events that determine breast cancer progression, modulation of the tumor-microenvironment and metastasis, which is the main cause of cancer-associated death, are of great importan...

Full description

Saved in:
Bibliographic Details
Published inOncogene Vol. 40; no. 3; pp. 475 - 491
Main Authors Attalla, Sherif, Taifour, Tarek, Bui, Tung, Muller, William
Format Journal Article
LanguageEnglish
Published England Nature Publishing Group 21.01.2021
Nature Publishing Group UK
Subjects
Animal models
Animals
Antigens, Polyomavirus Transforming - genetics
Antigens, Polyomavirus Transforming - metabolism
Breast cancer
Breast Neoplasms - genetics
Breast Neoplasms - metabolism
Breast Neoplasms - pathology
Cancer research
Care and treatment
Development and progression
Female
Gene expression
Genetic aspects
Genetic engineering
Health aspects
Mammary Neoplasms, Experimental - genetics
Mammary Neoplasms, Experimental - metabolism
Mammary Neoplasms, Experimental - pathology
Metastases
Metastasis
Mice
Mice, Transgenic
Review
Rodents
Transgenic mice
Tumor microenvironment
Tumors
Viral antigens
Canada
Online AccessGet full text

Cover

More Information
Summary:Breast cancer is associated with the second highest cancer-associated deaths worldwide. Therefore, understanding the key events that determine breast cancer progression, modulation of the tumor-microenvironment and metastasis, which is the main cause of cancer-associated death, are of great importance. The mammary specific polyomavirus middle T antigen overexpression mouse model (MMTV-PyMT), first published in 1992, is the most commonly used genetically engineered mouse model (GEMM) for cancer research. Mammary lesions arising in MMTV-PyMT mice follow similar molecular and histological progression as human breast tumors, making it an invaluable tool for cancer researchers and instrumental in understanding tumor biology. In this review, we will highlight key studies that demonstrate the utility of PyMT derived GEMMs in understanding the molecular basis of breast cancer progression, metastasis and highlight its use as a pre-clinical tool for therapeutic discovery.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-3
content type line 23
ObjectType-Review-1
ISSN:0950-9232
1476-5594
DOI:10.1038/s41388-020-01560-0