Abstract LB073: Characterizing the ovarian cancer immune microenvironment in a syngeneic murine model

IF 12.5 1区 医学 Q1 ONCOLOGY
Alexandra N. McMellen, Benjamin G. Bitler, Michael S. Leibowitz
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引用次数: 0

Abstract

Ovarian cancer (OvCa) is the deadliest gynecologic malignancy and, unfortunately, there are no effective salvage therapies for patients with refractory or resistant (r/r) disease. This is due in part to a limited understanding of the tumor microenvironment (TME), the marked differences between tumors established in different metastatic niches, and how the TME may change in the context of therapy resistance. OvCa uniquely metastasizes through peritoneal spread, resulting in various tumor niches with distinct tumor mutational burdens within the same patient. These niches have not been well characterized in murine models of OvCa and contribute to continued ineffective therapeutic interventions for r/r OvCa. To better define the ovarian cancer TME, we are utilizing orthotopic syngeneic murine models sensitive and resistant to the FDA approved PARP inhibitor (PARPi), Olaparib, ID8 and ID8-OR respectively. This model has both a TP53 and BRCA2 deletion, recapitulating the mutational status of OvCa patients likely to receive a PARPi. After tumor establishment, ascites as well as solid tumors at distinct tumor sites were collected and dissociated for further analysis. Using flow cytometric assays, we characterized the T cell infiltrate within the TME at distinct niches and surface marker expression on the tumor cells. These data confirm the presence of tumor infiltrating T cells within the OvCa TME across different tumor niches. We observed that the tumor infiltrating T cell percentage as well as their phenotype varies across the different metastatic niches of this disease. We observe a greater percentage of T cells present in the ascites as compared to the other metastatic sites including the omentum, the ovaries, and the bowel wall. Additionally, we observe a greater percentage of T-regulatory cells in PARPi-resistant omental tumors. Interestingly, while we do observe CD4+ and CD8+ T cells in the collected tumors, we do not see consistent expression of markers associated with either activation or exhaustion. Further studies are required to better characterize the functionality of the tumor infiltrating T cells. The data generated from these studies will inform the development of successful salvage immunotherapies for relapsed and refractory patients with ovarian cancer. Citation Format: Alexandra N. McMellen, Benjamin G. Bitler, Michael S. Leibowitz. Characterizing the ovarian cancer immune microenvironment in a syngeneic murine model [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 2 (Late-Breaking, Clinical Trial, and Invited s); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_2): nr LB073.
LB073:在同基因小鼠模型中表征卵巢癌免疫微环境
卵巢癌(OvCa)是最致命的妇科恶性肿瘤,不幸的是,对于难治性或耐药性(r/r)疾病的患者没有有效的挽救性治疗。这部分是由于对肿瘤微环境(TME)的理解有限,不同转移性肿瘤之间的显着差异,以及TME如何在治疗耐药的背景下发生变化。OvCa独特地通过腹膜扩散转移,在同一患者中导致具有不同肿瘤突变负担的各种肿瘤龛。这些小生境在小鼠OvCa模型中尚未得到很好的表征,并导致r/r OvCa的治疗干预持续无效。为了更好地定义卵巢癌TME,我们使用了对FDA批准的PARP抑制剂(PARPi)、奥拉帕尼、ID8和ID8- or分别敏感和耐药的原位同基因小鼠模型。该模型同时具有TP53和BRCA2缺失,概括了可能接受PARPi的OvCa患者的突变状态。肿瘤建立后,收集不同肿瘤部位的腹水和实体瘤,并分离进行进一步分析。利用流式细胞术分析,我们表征了T细胞在TME内不同位置的浸润和肿瘤细胞表面标记物的表达。这些数据证实了肿瘤浸润性T细胞在OvCa TME中存在于不同的肿瘤壁龛中。我们观察到肿瘤浸润T细胞百分比以及它们的表型在这种疾病的不同转移壁龛中有所不同。我们观察到,与其他转移部位(包括网膜、卵巢和肠壁)相比,腹水中存在的T细胞比例更高。此外,我们观察到在parpi耐药大网膜肿瘤中t调节细胞的比例更高。有趣的是,虽然我们在收集的肿瘤中观察到CD4+和CD8+ T细胞,但我们没有看到与激活或衰竭相关的标志物的一致表达。需要进一步的研究来更好地表征肿瘤浸润T细胞的功能。从这些研究中产生的数据将为卵巢癌复发和难治性患者成功的挽救性免疫疗法的发展提供信息。引用格式:Alexandra N. McMellen, Benjamin G. Bitler, Michael S. Leibowitz。在同基因小鼠模型中表征卵巢癌免疫微环境[摘要]。摘自:《2025年美国癌症研究协会年会论文集》;第二部分(最新进展,临床试验,并邀请s);2025年4月25日至30日;费城(PA): AACR;中国生物医学工程学报,2015;35(5):593 - 593。
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来源期刊
Cancer research
Cancer research 医学-肿瘤学
CiteScore
16.10
自引率
0.90%
发文量
7677
审稿时长
2.5 months
期刊介绍: Cancer Research, published by the American Association for Cancer Research (AACR), is a journal that focuses on impactful original studies, reviews, and opinion pieces relevant to the broad cancer research community. Manuscripts that present conceptual or technological advances leading to insights into cancer biology are particularly sought after. The journal also places emphasis on convergence science, which involves bridging multiple distinct areas of cancer research. With primary subsections including Cancer Biology, Cancer Immunology, Cancer Metabolism and Molecular Mechanisms, Translational Cancer Biology, Cancer Landscapes, and Convergence Science, Cancer Research has a comprehensive scope. It is published twice a month and has one volume per year, with a print ISSN of 0008-5472 and an online ISSN of 1538-7445. Cancer Research is abstracted and/or indexed in various databases and platforms, including BIOSIS Previews (R) Database, MEDLINE, Current Contents/Life Sciences, Current Contents/Clinical Medicine, Science Citation Index, Scopus, and Web of Science.
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