Establishment of a humanized patient‐derived xenograft mouse model of high‐grade serous ovarian cancer for preclinical evaluation of combination immunotherapy

医学 免疫疗法 卵巢癌 癌症研究 细胞毒性T细胞 癌症免疫疗法 浆液性液体 免疫学 人性化鼠标 肿瘤微环境 免疫系统 癌症 联合疗法 疾病 细胞疗法 临床试验 肿瘤科 耐受性 干细胞 造血
作者
Luka Tandarić,Line Bjørge,Martine Rott Lode,Cecilie Fredvik Torkildsen,Pia Aehnlich,Rammah Elnour,Daniela Elena Costea,Lars A. Akslen,Liv Cecilie Vestrheim Thomsen,Emmet McCormack,Katrin Kleinmanns
出处
期刊:Molecular Oncology [Elsevier BV]
卷期号:20 (9): 2203-2219
标识
DOI:10.1002/1878-0261.70231
摘要

The limited efficacy of immunotherapy in clinical trials in high-grade serous ovarian cancer (HGSOC) may improve by implementing experimental models that are more reflective of human biology into preclinical studies. To address this, we developed and validated a humanized patient-derived xenograft mouse model of HGSOC. Human hematopoietic stem cells and patient-derived HGSOC cells were engrafted into immunodeficient mice. The mice were administered durvalumab (anti-PD-L1) and/or oleclumab (anti-CD73) immunotherapy intraperitoneally twice a week for 5 weeks. The treatment showed good tolerability with no observed side effects, though it failed to elicit a measurable antitumor response. Leukocytes in primary tumors were analyzed immunohistochemically, and circulating T cells were characterized using spectral flow cytometry. All tumors exhibited an immune-excluded immunophenotype. No significant inter-group differences in disease burden, intratumoral leukocyte density, or circulating T cells were observed. In the durvalumab-only group, tumor burden significantly positively correlated with intratumoral cytotoxic and regulatory T-cell densities. This model reflects the immunotherapy resistance of human disease in line with clinical findings, providing a robust platform for studying tumor-immune interactions and immunosuppressive mechanisms in HGSOC. Impact statement Our results address the critical need for representative preclinical models for testing combination immunotherapy in HGSOC by providing a robust preclinical platform that can enhance the reliability of preclinical data and contribute to the improvement of the design and outcomes of future clinical trials.
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