构建一种与免疫相关的预后模型,并探索HMGB3,TNFSF4和CORO2A在乳腺癌中的功能
Meng Tang1,2,3, Tingting Huang4, Wei Zhang5,6
1Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, China.
Translational cancer research
|November 14, 2025
概括
这项研究确定了六种与免疫相关的基因 (IRG),可以准确预测乳腺癌 (BC) 患者的结果. 这些基因有潜力指导免疫疗法并改善BC的精确瘤学.
科学领域:
- 在瘤学瘤学.
- 免疫学 免疫学 免疫学
- 遗传学 是一个遗传学.
背景情况:
- 乳腺癌 (BC) 是一种具有低免疫性,往往对免疫疗法的不反应的"冷瘤".
- 确定预测性生物标志物对于有效的BC治疗策略至关重要.
研究的目的:
- 研究乳腺癌中新型免疫相关基因 (IRG) 的预测潜力.
- 开发一个指导BC免疫治疗的预后模型.
主要方法:
- 使用最小绝对缩小和选择运算符 (LASSO) 回归来建立基于IRG的预后模型.
- 使用了单变量/多变量考克斯比例危险模型和癌症基因组图谱 (TCGA) 数据库.
- 在IRG和免疫特征 (如细胞透和免疫检查点) 之间进行了相关性分析.
主要成果:
- 六个IRG (HMGB3,TNFSF4,CORO2A,SOCS3,TACR1,FREM1) 被确定为预后模型,显示出良好的预测性能 (AUC 0.676-0.621).
- 在BC组织中,HMGB3,CORO2A和TNFSF4被上调,与较差的存活率相关.
- 这些基因与免疫细胞 (Tregs,巨细胞,CD4+/CD8+ T细胞) 和免疫检查点显著相关,影响了临床结果.
结论:
- 一个基于六个IRG的新型预后模型可靠地评估了BC患者的风险.
- 该模型为乳腺癌治疗中的精确瘤学和动态疾病监测提供了指导.
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