Characterisation of murine syngeneic tumor models
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ABSTRACT:
PROVIDER: PRJEB12925 | ENA |
REPOSITORIES: ENA
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Project description:Murine syngeneic tumor models are the cornerstone of novel immuno-oncology (IO)-based therapy development but the molecular and immunological features of these models are still not clearly defined. The translational relevance of differences between the models is not fully understood, impeding appropriate preclinical model selection for target validation, and ultimately hindering drug development. Within a panel of commonly-used murine syngeneic tumor models, we showed variable responsiveness to IO-therapies. We employed aCGH, whole-exome sequencing, exon microarray analysis and flow cytometry to extensively characterise these models and revealed striking differences that may underlie these contrasting response profiles. We identified strong differential gene expression in immune-related pathways and changes in immune cell-specific genes that suggested differences in tumor immune infiltrates between models. We further investigated this using flow cytometry, which showed differences in both the composition and magnitude of the tumor immune infiltrates, identifying models that harbor ‘inflamed’ and ‘non-inflamed’ tumor immune infiltrate phenotypes. Moreover, we found that immunosuppressive cell types predominated in syngeneic mouse tumor models that did not respond to immune-checkpoint blockade, whereas cytotoxic effector immune cells were enriched in responsive models. A cytotoxic cell-rich tumor immune infiltrate has been correlated with increased efficacy of IO-therapy in the clinic and these differences could underlie the varying response profiles to IO-therapy between the syngeneic models. This characterisation highlighted the importance of extensive profiling and will enable investigators to select appropriate models to interrogate the activity of IO-therapies as well as combinations with targeted therapies in vivo.
2016-12-07 | GSE85508 | GEO
Project description:Murine syngeneic tumor models are the cornerstone of novel immuno-oncology (IO)-based therapy development but the molecular and immunological features of these models are still not clearly defined. The translational relevance of differences between the models is not fully understood, impeding appropriate preclinical model selection for target validation, and ultimately hindering drug development. Within a panel of commonly-used murine syngeneic tumor models, we showed variable responsiveness to IO-therapies. We employed aCGH, whole-exome sequencing, exon microarray analysis and flow cytometry to extensively characterise these models and revealed striking differences that may underlie these contrasting response profiles. We identified strong differential gene expression in immune-related pathways and changes in immune cell-specific genes that suggested differences in tumor immune infiltrates between models. We further investigated this using flow cytometry, which showed differences in both the composition and magnitude of the tumor immune infiltrates, identifying models that harbor ‘inflamed’ and ‘non-inflamed’ tumor immune infiltrate phenotypes. Moreover, we found that immunosuppressive cell types predominated in syngeneic mouse tumor models that did not respond to immune-checkpoint blockade, whereas cytotoxic effector immune cells were enriched in responsive models. A cytotoxic cell-rich tumor immune infiltrate has been correlated with increased efficacy of IO-therapy in the clinic and these differences could underlie the varying response profiles to IO-therapy between the syngeneic models. This characterisation highlighted the importance of extensive profiling and will enable investigators to select appropriate models to interrogate the activity of IO-therapies as well as combinations with targeted therapies in vivo.
2016-12-07 | GSE85507 | GEO
Project description:Rational selection of syngeneic preclinical tumor models for immunotherapeutic drug discovery
| PRJNA338671 | ENA
Project description:The cell line-derived xenografts and patient derived xenografts have limited use in cancer immunotherapy evaluation because an immune compromised host is required for xenotransplantation. Syngeneic mouse models are derived by transplanting established mouse cell lines or tumor tissues to strain matched mouse hosts, which are better suited to study the interplay between immune and tumor cells. We investigated the differences as well as similarities of a panel of ten mouse syngeneic models to features of human tumors by proteomics, which will provide valuable information to assist experimental biologists in model selection.
2019-12-03 | PXD011885 | Pride
Project description:A common cornerstone of preclinical cancer research is the use of syngeneic orthotopic murine tumors as immunocompetent models of human cancers. For glioblastoma research efforts, the GL261 and CT2A lines are frequently used. We systematically characterized these two lines to decipher the cell-intrinsic mechanisms that drive immuno-resistance in CT2A and to define the aspects of human cancer biology that the lines best model. We show that, despite sharing a few canonical genetic or histologic features of human glioblastoma, the transcriptional profiles of GL261 and CT2A tumours most closely resembled those of glioblastomas. CT2A additionally resembled other cancer types transcriptionally, including melanoma. CT2A displayed mesenchymal differentiation, upregulated angiogenesis, and multiple defects in antigen presentation machinery and interferon response pathways. Loss of MHC class I expression was restored in CT2A by interferon-γ treatment, explaining in part the modest efficacy of some immunotherapy combinations for CT2A. Our findings indicate that CT2A may serve as a robust preclinical solid tumor model of adaptive immune resistance.
2023-12-19 | PXD036720 | Pride
Project description:Targeting the PD-1/PD-L1 pathway has changed the landscape of cancer immunotherapy, revolutionizing the treatment of many cancers. Somatic tumor mutational burden (TMB) and T-cell–inflamed gene expression profile (GEP) are clinically validated pan-tumor genomic biomarkers that predict responsiveness to anti-PD-1/anti-PD-L1 monotherapy in a variety of tumor types. Here we analyze the association between these biomarkers and efficacy in 11 commonly used preclinical murine syngeneic models using a rodent surrogate antibody (muDX400) of pembrolizumab, a humanized monoclonal antibody against PD-1. Response to muDX400 treatment was broadly classified in these models into 3 categories: highly responsive, partially responsive, and intrinsically resistant to therapy. Molecular and cellular profiling validated differences in immune-cell infiltration and activation in the tumor microenvironment of muDX400 responsive tumors. Baseline and post-treatment genomic analysis showed an association between murine-GEP and TMB and response to muDX400 treatment. To better understand the limitations, predictive nature and role of these models in guiding treatment options at the bedside, we extended our analysis to investigate a canonical set of cancer and immune biology-related gene expression signatures, including signatures of angiogenesis, monocytic myeloid derived suppressor cell (mMDSC) and stromal/EMT/TGF-β biology previously shown to have potential negative impact on immunotherapy efficacy in the clinic. Finally, reverse translation studies were performed to evaluate the association between murine-GEP and preclinical efficacy with standard of care and anti-angiogenic combinations with muDX400 which show promising clinical activity. These efforts begin to elucidate which biological mechanisms can and cannot be appropriately and productively tested in these preclinical models to facilitate the development of rational orthogonal combination strategies with checkpoint blockade as well as the evaluation of underlying biological mechanisms associated with response in the clinic
2022-01-07 | GSE168846 | GEO
Project description:Bulk RNA sequencing analysis of murine syngeneic orthotopic GL261-luc2 and CT2A-luc glioblastoma tumour models
2023-11-01 | GSE215123 | GEO
Project description:Rational selection of syngeneic preclinical tumor models for immunotherapeutic drug discovery [aCGH]
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Project description:A Syngeneic ErbB2 Mammary Cancer Model for Preclinical Immunotherapy Trials
| PRJNA450984 | ENA
Project description:Rational selection of syngeneic preclinical tumor models for immunotherapeutic drug discovery [exon array]
| PRJNA338687 | ENA