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与雌激素反应相关的特征预测了黑色素瘤免疫治疗的反应
Min Lin1, Tian Du2, Xiaofeng Tang1
1Department of Ultrasound, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangzhou, China.
Frontiers in immunology
|May 30, 2023
概括
我们确定了一个11个基因的签名,预测黑色素瘤的免疫治疗反应,与免疫细胞透有关. 向雌激素通路可能会提高黑色素瘤免疫疗法的疗效.
科学领域:
- 在瘤学瘤学.
- 免疫学 免疫学 免疫学
- 基因组学就是基因组学.
背景情况:
- 雌激素受体信号影响瘤微环境和黑色素瘤免疫治疗的有效性.
- 了解这些相互作用对于改善治疗结果至关重要.
研究的目的:
- 开发基于雌激素反应途径的基因特征,以预测黑色素瘤的免疫治疗反应.
- 为了将这种特征与免疫细胞透和临床结果相关联.
主要方法:
- 利用了来自四个免疫治疗黑色素瘤队列的RNA测序数据和TCGA黑色素瘤数据.
- 进行差异表达和途径分析,以确定与雌激素反应相关的基因,将响应者与非响应者区分开来.
- 使用11个差异表达基因构建了一个多变量逻辑回归模型,以预测免疫治疗反应.
主要成果:
- 确定了11个基因的特征,在训练组中AUC为0.888,在验证组中为0.654-0.720.
- 较高的签名得分与增加的CD8+T细胞透率相关 (rho=0.32,p=0.02).
- 在TCGA黑色素瘤中,高特征得分与免疫丰富的微环境亚型和更好的无进展生存率相关 (p=0.021).
结论:
- 一个11个基因的签名有效地预测了黑色素瘤的免疫治疗反应,并与瘤透的淋巴细胞相关联.
- 向与雌激素相关的途径是增强黑色素瘤免疫疗法的潜在组合策略.
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