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一个具有与心理压力相关的基因的预后基因模型捕捉了乳腺癌中的免疫激活
Tian Du1, Jiayi Tang1, Hanqi Zhang1
1State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China.
Breast (Edinburgh, Scotland)
|January 7, 2026
概括
一个新的18基因签名识别了与心理压力相关的基因,以预测乳腺癌存活率和免疫治疗反应. 这种工具有助于提高预后准确性和了解瘤中的免疫激活.
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:
- 慢性压力和抑郁症显著影响乳腺癌的发展和进展.
- 与心理压力相关的基因正在成为瘤行为的关键调节者和潜在的预后标志物.
- 识别新的基因特征可以提高我们对乳腺癌瘤发生的理解.
研究的目的:
- 基于心理压力相关基因开发和验证基因特征,用于预测乳腺癌患者的生存率.
- 评估签名能够预测免疫治疗敏感性的能力.
- 探索基因特征与瘤免疫微环境之间的关系.
主要方法:
- 利用后勤最小绝对收缩和选择操作员 (LASSO) 回归来从374个与心理压力相关的基因中选择18个关键基因.
- 使用癌症基因组图谱 (TCGA) 和METABRIC数据集中的曲线下面区域 (AUC) 和校准曲线验证了基因特征的预测性能.
- 进行了途径和免疫细胞透分析,以调查高和低标记得分瘤之间的生物差异.
主要成果:
- 建立了18个基因的签名,在独立队列中预测5年和10年的总生存率方面表现一致 (AUC从0.646到0.772不等).
- 该模型表现出极好的校准,Hosmer-Lemeshow适合性测试的p值为1.
- 较低的签名得分与改善的预后,增强的免疫通路激活,免疫活性瘤微环境 (富含CD8+T细胞和NK细胞) 和更好的免疫治疗反应相关.
结论:
- 由与心理压力相关的基因衍生而来的18个基因签名,为预测乳腺癌的临床结果提供了一个强大的模型.
- 这种特征有效地捕捉了瘤微环境中的免疫激活.
- 这些发现表明,有可能改善乳腺癌患者的预后准确性和免疫疗法反应预测.
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