A temporal model of tumor-immune dynamics during the metastatic progression of high-grade serous ovarian cancer
Abstract Patients with high-grade serous ovarian cancer (HGSOC) typically present with widespread metastasis, obscuring a temporal understanding of tumor-immune dynamics. To address this, we perform multi-site global proteomics alongside matched immunohistochemistry (IHC) for CD4⁺ and CD8⁺ tumor-inf...
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| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-06-01
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| Series: | npj Precision Oncology |
| Online Access: | https://doi.org/10.1038/s41698-025-00973-y |
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| Summary: | Abstract Patients with high-grade serous ovarian cancer (HGSOC) typically present with widespread metastasis, obscuring a temporal understanding of tumor-immune dynamics. To address this, we perform multi-site global proteomics alongside matched immunohistochemistry (IHC) for CD4⁺ and CD8⁺ tumor-infiltrating lymphocytes (TILs) in patient samples. We order the protein expression profiles using an unbiased pseudotime analysis, recapitulating clinical observations of metastatic progression, and providing a framework to explore tumor-immune dynamics from localized to metastatic disease. Metastatic progression correlates with immune cell infiltration, the recruitment of regulatory T cells (Tregs) to counterbalance γδ T cell abundance, and an increased abundance of exhausted CD8⁺ T cells. The accumulation of Tregs at metastatic sites correlates with SNX8 expression, a critical regulator of the STING pathway. In early-stage tumors, keratin-expressing cancer cells recruit Tregs via MHC class II, fostering an inflammatory phenotype with limited IFNγ production and non-clonally expanded T cells. Together, our findings reveal novel mechanisms of immune escape associated with both localized disease and metastatic progression in HGSOC. |
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| ISSN: | 2397-768X |