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


Journal

BMC genomics
ISSN: 1471-2164
Titre abrégé: BMC Genomics
Pays: England
ID NLM: 100965258

Informations de publication

Date de publication:
02 Jan 2020
Historique:
received: 17 01 2019
accepted: 27 11 2019
entrez: 4 1 2020
pubmed: 4 1 2020
medline: 4 6 2020
Statut: epublish

Résumé

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. 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. 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.

Sections du résumé

BACKGROUND 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 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 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.

Identifiants

pubmed: 31898484
doi: 10.1186/s12864-019-6344-3
pii: 10.1186/s12864-019-6344-3
pmc: PMC6941261
doi:

Substances chimiques

CTLA-4 Antigen 0
Ctla4 protein, mouse 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2

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Auteurs

Wenyan Zhong (W)

Oncology Research & Development, Pfizer Worldwide Research and Development, New York, Pearl River, 10965, USA. wenyan.zhong@pfizer.com.

Jeremy S Myers (JS)

Oncology Research & Development, Pfizer Worldwide Research and Development, New York, Pearl River, 10965, USA.

Fang Wang (F)

Oncology Research & Development, Pfizer Worldwide Research and Development, New York, Pearl River, 10965, USA.

Kai Wang (K)

Oncology Research & Development, Pfizer Worldwide Research and Development, San Diego, CA, 92121, USA.

Justin Lucas (J)

Oncology Research & Development, Pfizer Worldwide Research and Development, New York, Pearl River, 10965, USA.

Edward Rosfjord (E)

Oncology Research & Development, Pfizer Worldwide Research and Development, New York, Pearl River, 10965, USA.

Judy Lucas (J)

Oncology Research & Development, Pfizer Worldwide Research and Development, New York, Pearl River, 10965, USA.

Andrea T Hooper (AT)

Oncology Research & Development, Pfizer Worldwide Research and Development, New York, Pearl River, 10965, USA.

Sharon Yang (S)

Oncology Research & Development, Pfizer Worldwide Research and Development, New York, Pearl River, 10965, USA.

Lu Anna Lemon (LA)

Oncology Research & Development, Pfizer Worldwide Research and Development, New York, Pearl River, 10965, USA.

Magali Guffroy (M)

Drug Safety Research and Development, Pfizer Worldwide Research and Development, New York, Pearl River, 10965, USA.

Chad May (C)

Oncology Research & Development, Pfizer Worldwide Research and Development, New York, Pearl River, 10965, USA.

Jadwiga R Bienkowska (JR)

Oncology Research & Development, Pfizer Worldwide Research and Development, San Diego, CA, 92121, USA.

Paul A Rejto (PA)

Oncology Research & Development, Pfizer Worldwide Research and Development, San Diego, CA, 92121, USA. paul.rejto@pfizer.com.

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Classifications MeSH