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Comparison of the molecular and cellular phenotypes of common mouse syngeneic models with human tumors

Authors :
Wenyan Zhong
Jeremy S. Myers
Fang Wang
Kai Wang
Justin Lucas
Edward Rosfjord
Judy Lucas
Andrea T. Hooper
Sharon Yang
Lu Anna Lemon
Magali Guffroy
Chad May
Jadwiga R. Bienkowska
Paul A. Rejto
Source :
BMC Genomics, Vol 21, Iss 1, Pp 1-17 (2020)
Publication Year :
2020
Publisher :
BMC, 2020.

Abstract

Abstract Background The clinical success of immune checkpoint inhibitors demonstrates that reactivation of the human immune system delivers durable responses for some patients and represents an exciting approach for cancer treatment. An important class of preclinical in vivo models for immuno-oncology is immunocompetent mice bearing mouse syngeneic tumors. To facilitate translation of preclinical studies into human, we characterized the genomic, transcriptomic, and protein expression of a panel of ten commonly used mouse tumor cell lines grown in vitro culture as well as in vivo tumors. Results Our studies identified a number of genetic and cellular phenotypic differences that distinguish commonly used mouse syngeneic models in our study from human cancers. Only a fraction of the somatic single nucleotide variants (SNVs) in these common mouse cell lines directly match SNVs in human actionable cancer genes. Some models derived from epithelial tumors have a more mesenchymal phenotype with relatively low T-lymphocyte infiltration compared to the corresponding human cancers. CT26, a colon tumor model, had the highest immunogenicity and was the model most responsive to CTLA4 inhibitor treatment, by contrast to the relatively low immunogenicity and response rate to checkpoint inhibitor therapies in human colon cancers. Conclusions The relative immunogenicity of these ten syngeneic tumors does not resemble typical human tumors derived from the same tissue of origin. By characterizing the mouse syngeneic models and comparing with their human tumor counterparts, this study contributes to a framework that may help investigators select the model most relevant to study a particular immune-oncology mechanism, and may rationalize some of the challenges associated with translating preclinical findings to clinical studies.

Details

Language :
English
ISSN :
14712164
Volume :
21
Issue :
1
Database :
Directory of Open Access Journals
Journal :
BMC Genomics
Publication Type :
Academic Journal
Accession number :
edsdoj.8611614a41274bc88abf31f1a71b7264
Document Type :
article
Full Text :
https://doi.org/10.1186/s12864-019-6344-3