由MEGF8驱动的代谢重编程和免疫逃避定义了与子宫内膜异位症相关的卵巢癌的高风险亚型
Bo Zheng1, Yu Xia1, Yuxuan Feng2
1State Key Laboratory of Reproductive Medicine and Offspring Health, Center for Reproduction and Genetics, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University Suzhou 215002, Jiangsu, China.
American journal of translational research
|December 19, 2025
概括
卵巢癌 (OC) 的子宫内膜异位症风险与分子途径有关. 这项研究确定了包括MEGF8在内的8基因预后模型,以预测OC患者的生存率和治疗反应.
科学领域:
- 在瘤学瘤学.
- 基因组学就是基因组学.
- 免疫学 免疫学 免疫学
背景情况:
- 子宫内膜异位症与卵巢癌 (OC) 风险增加有关,但潜在的分子机制需要进一步调查.
- 了解这些途径对于识别预后生物标志物和改善患者治疗结果至关重要.
研究的目的:
- 在卵巢癌 (OC) 中识别与子宫内膜异位症相关的预后生物标志物.
- 划分OC的分子和免疫景观,并建立患者分层和治疗反应的预测模型.
主要方法:
- 综合转录和临床数据 (TCGA-OC,GSE53963) 用于使用LASSO和考克斯回归进行预后模型构建.
- 评估瘤微环境 (TME),免疫检查点和药物敏感性.
- 利用单细胞RNA测序 (scRNA-seq) 和体外测试来探索基因表达和MEGF8功能.
主要成果:
- 确定了三种OC分子亚型;亚型B显示总体存活率明显更好.
- 开发了一个8基因预后模型,包括MEGF8,区分高风险 (生存率较差,免疫逃避) 和低风险 (生存率更好,药物敏感性) 组.
- MEGF8通过代谢重编程和细胞外基质重塑促进OC进展;其敲击抑制了增殖和迁移.
结论:
- 描述了OC的分子免疫格局,建立了一个强大的8基因预后模型.
- 确定了MEGF8作为卵巢癌的潜在治疗标.
- 预后模型有助于预测免疫疗法和向治疗反应,支持个性化OC管理.
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