Abstract 1366: Single-cell gene expression profiling of the tumor immune microenvironment (TIME) and its association with immunotherapy response in syngeneic mouse models

The TIME, comprised of the extracellular matrix and a milieu of both immune and non-immune cells, plays a critical role in tumor development, disease progression, and response and resistance to immunotherapy. Much of our understanding of the TIME’s immunological features, cellular heterogeneity, and associations with immunotherapy response have come from the use of syngeneic mouse models representing various cancer cell types. To provide further characterization of the TIME in syngeneic mouse lines commonly used for immunogenic drug discovery, Cd45+ single-cell RNA sequencing was performed in 10 syngeneic mouse models representing 7 distinct cancer types (breast mammary carcinoma: 4T1, EMT6, MMTV-PyMT; colon carcinoma: CT26.WT, MC38; glioma: GL261; renal adenocarcinoma: Renca; lung carcinoma: LL2; melanoma: B16F10; and pancreatic adenocarcinoma: Pan02). Further, to unveil cellular subpopulations that correspond to immunotherapy response, anti-PD-1 therapy efficacy studies were performed in the syngeneic models and correlations with the abundances of distinct immune cell populations were explored. Across all syngeneic tumor lines examined, seven major immune cell populations were identified and subpopulations within T cells, NK cells, innate lymphoid cells, and distinct myeloid cells were characterized. Efficacy of anti-PD-1 treatment was positively correlated with a unique population of ISGhigh macrophages. Moreover, an over-representation of neutrophils and proliferating/C1Q+ macrophage subsets was observed in models exhibiting resistance to anti-PD-1 treatment. These findings provide further characterization of these syngeneic lines to aid in rational model selection to facilitate translational relevance. This study also provides further insight into how immune cell composition and abundance within tumors may contribute to immune checkpoint blockade resistance. Citation Format: Jia Wang, Minjuan Deng, Bin Jiang, Han Yan, Yu Jiang, Siyuan Wang, Xiao Ding, Pei Zhang, Wei Jin, Zhirong Shen. Single-cell gene expression profiling of the tumor immune microenvironment (TIME) and its association with immunotherapy response in syngeneic mouse models [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 1366.

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Journal
Cancer Research
Published
2025-04-21
DOI
https://doi.org/10.1158/1538-7445.am2025-1366
Primary Topic
Cancer Immunotherapy and Biomarkers
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article
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article

Abstract 1366: Single-cell gene expression profiling of the tumor immune microenvironment (TIME) and its association with immunotherapy response in syngeneic mouse models

Minjuan Deng, Wei Jun Jin, Zhirong Shen, Jia Wang et al.
Cancer Research
Cancer Immunotherapy and Biomarkers
article

Abstract 1366: Single-cell gene expression profiling of the tumor immune microenvironment (TIME) and its association with immunotherapy response in syngeneic mouse models

Minjuan Deng, Wei Jun Jin, Zhirong Shen, Jia Wang, Pei Zhang, Siyuan Wang, Jiang Yu, Yan Han, Xiao Ding, Bin Jiang
article en

Abstract

The TIME, comprised of the extracellular matrix and a milieu of both immune and non-immune cells, plays a critical role in tumor development, disease progression, and response and resistance to immunotherapy. Much of our understanding of the TIME’s immunological features, cellular heterogeneity, and associations with immunotherapy response have come from the use of syngeneic mouse models representing various cancer cell types. To provide further characterization of the TIME in syngeneic mouse lines commonly used for immunogenic drug discovery, Cd45+ single-cell RNA sequencing was performed in 10 syngeneic mouse models representing 7 distinct cancer types (breast mammary carcinoma: 4T1, EMT6, MMTV-PyMT; colon carcinoma: CT26.WT, MC38; glioma: GL261; renal adenocarcinoma: Renca; lung carcinoma: LL2; melanoma: B16F10; and pancreatic adenocarcinoma: Pan02). Further, to unveil cellular subpopulations that correspond to immunotherapy response, anti-PD-1 therapy efficacy studies were performed in the syngeneic models and correlations with the abundances of distinct immune cell populations were explored. Across all syngeneic tumor lines examined, seven major immune cell populations were identified and subpopulations within T cells, NK cells, innate lymphoid cells, and distinct myeloid cells were characterized. Efficacy of anti-PD-1 treatment was positively correlated with a unique population of ISGhigh macrophages. Moreover, an over-representation of neutrophils and proliferating/C1Q+ macrophage subsets was observed in models exhibiting resistance to anti-PD-1 treatment. These findings provide further characterization of these syngeneic lines to aid in rational model selection to facilitate translational relevance. This study also provides further insight into how immune cell composition and abundance within tumors may contribute to immune checkpoint blockade resistance. Citation Format: Jia Wang, Minjuan Deng, Bin Jiang, Han Yan, Yu Jiang, Siyuan Wang, Xiao Ding, Pei Zhang, Wei Jin, Zhirong Shen. Single-cell gene expression profiling of the tumor immune microenvironment (TIME) and its association with immunotherapy response in syngeneic mouse models [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 1366.

Cancer ResearchVol. 85(8_Supplement_1)
Beijing Enterprises (China) (CN)
Openalex Percentile: Top 88%
Cancer Immunotherapy and Biomarkers
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