基于未折叠的蛋白质反应相关基因的低HER2乳腺癌预后模型的识别和验证
Yanjiao Zhao1, Yuanyuan Gao1, Hui Yan2
1The Third Department of Medical Oncology, General Hospital of Ningxia Medical University, Xingqing District, Yinchuan, 750004, Ningxia, People's Republic of China.
Discover oncology
|October 14, 2025
概括
这项研究确定了四个未折叠蛋白质响应 (UPR) 基因 (COPS5,DKC1,NOP56,EIF4G1),可预测 HER2 低乳腺癌的预后. 这些发现提供了对瘤微环境和潜在的免疫治疗策略的见解.
科学领域:
- 在瘤学瘤学.
- 分子生物学分子生物学
- 免疫学 免疫学 免疫学
背景情况:
- 人体表皮生长因子受体2 (HER2) -低乳腺癌影响45-55%的患者.
- 癌细胞利用未折叠的蛋白质反应 (UPR) 来抵消内质网膜压力.
研究的目的:
- 为了评估UPR相关基因在HER2-低乳腺癌中的预后意义.
- 探索这些基因对瘤免疫微环境的影响.
主要方法:
- 单变Cox回归确定了预后性UPR基因.
- 拉索·考克斯回归开发了一个风险评分模型.
- 进行了诺莫图和蛋白质-蛋白质相互作用网络分析.
主要成果:
- 四个UPR基因 (COPS5,DKC1,NOP56,EIF4G1) 与HER2低的乳腺癌预后有显著的关联.
- 风险评分模型将患者分为高风险和低风险组,具有不同的临床结果.
- 高风险患者表现出抑制的免疫路径和改变的瘤微环境,影响免疫治疗反应.
结论:
- 使用COPS5,DKC1,NOP56和EIF4G1的预后模型可以预测HER2-低乳腺癌的结果.
- 这些UPR基因在这个患者群体中提供了免疫疗法分层的潜力.
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