Abstract 5913: Semi-supervised analysis of myeloid and T cell behavior in ex vivo ovarian tumor slices reveals changes in cell motility after treatments

Cancer Research(2023)

引用 0|浏览3
暂无评分
摘要
Abstract Cell motility is an important component of anti-tumor responses, allowing immune cells like myeloid and cytotoxic T cells to infiltrate tumors. Using ex vivo human and mouse high-grade serous ovarian cancer (HGSOC) tumor slices combined with time-lapse imaging, we monitored the movement of CD8+ T and myeloid cells in live tumors, in real-time. To analyze the recordings and characterize immune cell movements, we developed a semi-supervised analysis, identifying four types of cell behavior: migrating, long migrating, static and wobbling. Tumor slices were maintained 24h ex vivo, retaining viability and cell movements. We show that ex vivo treatments with LPS altered CD8+ T and myeloid cell behavior. In vivo chemotherapy reduced ex vivo cell movements in human and mouse tumors, and differentially affected CD8+ T and myeloid cells in 60577 and HGS2 murine tumors, respectively chemo-sensitive and chemo-resistant mouse models, suggesting those cell types have different roles in the response to chemotherapy. Ex vivo tumor slices can extend in vivo mouse work to human, providing a stepping stone to translate mouse cancer studies to clinical trials. Citation Format: Florian Laforets, Panoraia Kotantaki, Beatrice Malacrida, Samar Elorbany, Ranjit Manchanda, Emmanuel Donnadieu, Frances Balkwill. Semi-supervised analysis of myeloid and T cell behavior in ex vivo ovarian tumor slices reveals changes in cell motility after treatments [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 5913.
更多
查看译文
关键词
ovarian tumor slices,cell motility,myeloid,semi-supervised
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要