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An Orthotopic Model of Serous Ovarian Cancer in Immunocompetent Mice for in vivo Tumor Imaging and Monitoring of Tumor Immune Responses
Published on: November 28, 2010
Mapping spatial organization and genetic cell-state regulators to target immune evasion in ovarian cancer
Christine Yiwen Yeh1,2,3, Karmen Aguirre1,4,5, Olivia Laveroni1
1Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
Abstract:
The drivers of immune evasion are not entirely clear, limiting the success of cancer immunotherapies. Here we applied single-cell spatial and perturbational transcriptomics to delineate immune evasion in high-grade serous tubo-ovarian cancer. To this end, we first mapped the spatial organization of high-grade serous tubo-ovarian cancer by profiling more than 2.5 million cells in situ in 130 tumors from 94 patients. This revealed a malignant cell state that reflects tumor genetics and is predictive of T cell and natural killer cell infiltration levels and response to immune checkpoint blockade. We then performed Perturb-seq screens and identified genetic perturbations-including knockout of PTPN1 and ACTR8-that trigger this malignant cell state. Finally, we show that these perturbations, as well as a PTPN1/PTPN2 inhibitor, sensitize ovarian cancer cells to T cell and natural killer cell cytotoxicity, as predicted. This study thus identifies ways to study and target immune evasion by linking genetic variation, cell-state regulators and spatial biology.
Insights
Understanding immune evasion in ovarian cancer is key to improving immunotherapies. This study reveals a malignant cell state linked to genetics that predicts immune cell infiltration and response, offering new therapeutic targets.
Area of Science:
- Oncology
- Immunology
- Genomics
Background:
- Immune evasion mechanisms in cancer limit immunotherapy efficacy.
- High-grade serous tubo-ovarian cancer (HGSOC) presents complex challenges for treatment.
Purpose of the Study:
- To delineate immune evasion drivers in HGSOC using spatial and perturbational transcriptomics.
- To identify malignant cell states associated with immune infiltration and treatment response.
Main Methods:
- Spatial mapping of over 2.5 million cells across 130 HGSOC tumors.
- Perturb-seq screens to identify genetic drivers of malignant cell states.
- Analysis of genetic variation, cell-state regulators, and spatial biology.
Main Results:
- A specific malignant cell state in HGSOC was identified, correlating with tumor genetics.
- This cell state predicts T cell and natural killer cell infiltration and response to immune checkpoint blockade.
- Knockout of PTPN1 and ACTR8, along with PTPN1/PTPN2 inhibition, sensitized ovarian cancer cells to immune cell cytotoxicity.
Conclusions:
- Genetic variations and cell-state regulators are linked to immune evasion in HGSOC.
- Targeting identified genetic perturbations or PTPN1/PTPN2 can enhance immune cell-mediated cancer cell killing.
- This research provides novel strategies for targeting immune evasion in ovarian cancer.
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