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Establishment of an ID8 cell-derived ovarian cancer ascites tumor model in mice and evaluation of its immune status
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Abstract:
[Abstract] Objective: To establish a mice ascitic tumor model using ID8 cells and evaluate the immune cell composition and cytokine network features under different tumor burdens, providing experimental evidence for the study of the ovarian cancer immune microenvironment. Methods: Female C57BL/6 mice aged 6-8 weeks were selected and divided into two groups: a control group (without ID8 cell injection) and an ID8 cell group. The ID8 cell group was further subdivided into three subgroups based on the number of injected cells: 1 × 10? group, 5 × 10? group, and 1 × 10? group. Multiplex cytokine detection technology was used to measure the concentrations of IFN-γ, IL-2, IL-6, TNF-α, CCL2, CXCL10, IL-17, and IL-1β in the serum and ascites. Flow cytometry was employed to determine the proportions of CD3? T cells, CD4? T cells, CD8? T cells, CD19? B cells, F4/80?CD11b? macrophages, myeloid-derived suppressor cells (MDSC), regulatory T cells (Treg cells), and natural killer (NK) cells in the ascites. Results: After intraperitoneal transplantation of ID8 cells, the body weight and abdominal circumference of mice in the ID8 cell group were significantly increased (all P < 0.05). In the ID8 cell group, the serum levels of IL-6, IL-2, TNF-α, and IL-1β were significantly elevated (all P < 0.05), while the serum level of CCL2 was significantly decreased (P < 0.05); no significant changes were observed in the serum levels of IFN-γ, IL-17, and CXCL10. Compared with the serum cytokine levels in the ID8 cell group, the ascites levels of IL-6, IL-2, TNF-α, CCL2, CXCL10, and IL-17 were significantly higher (all P < 0.05), whereas the ascites levels of IL-1β and IFN-γ showed no significant changes. Analysis of immune cell proportions in the ascites of the ID8 cell group revealed that CD19? B cells accounted for the highest proportion, followed by F4/80? CD11b? macrophages and CD3? T cells, while NK cells accounted for the lowest proportion. Conclusion：：The ID8 cell ascitic tumor model can effectively simulate the imbalance between local immune activation and systemic inflammatory response in ovarian cancer. Tumor burden modulates immune landscape by regulating immune cells such as T cells and macrophages, as well as the differential cytokine networks between serum and ascites, providing new targets for ovarian cancer immunotherapy.
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