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乳腺癌中基于癌症免疫循环的分子亚型预测了对免疫检查点抑制剂的反应
Di Shao1,2, Tianjian Yu1,2, Yi Xiao1,2
1Department of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China.
Cancer biology & medicine
|March 6, 2026
概括
这项研究根据癌症免疫周期 (CIC) 将乳腺癌患者分为三个免疫群. 这一框架有助于预测对免疫检查点抑制剂 (ICI) 的反应,并了解瘤免疫微环境.
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:
- 癌症免疫周期 (CIC) 对抗瘤免疫非常重要,但对乳腺癌的全面评估是有限的.
- 对于有效的免疫检查点抑制剂 (ICI) 治疗选择,需要对免疫状态进行准确的评估.
研究的目的:
- 开发和验证基于CIC的签名,用于对乳腺癌患者进行分类.
- 为了将CIC集群与瘤免疫微环境特征和ICI反应相关联.
主要方法:
- 为原发性瘤构建了CIC签名,并计算了乳腺癌队列中的CIC得分 (n=752).
- 将患者分为三个CIC集群,并在泛癌队列中验证了ICI响应预测.
- 进行了多原子分析 (基因组学,代谢学,scRNA-seq) 来表征集群.
主要成果:
- 确定了三个CIC集群:免疫冷 (C1),抗原呈现缺陷 (C2) 和免疫热 (C3).
- C3表现出更高的免疫透和更好的ICI反应;C1显示了巨细胞的变化;C2具有调节性T细胞和功能失调的树突细胞.
- 基因组分析显示,C2中的高瘤突变负担和HLA损失;C1在脂质代谢中丰富,C3在糖解中;PSAT1是C2中的关键代谢调节者.
结论:
- 建立了一个新的基于CIC的瘤分类框架,揭示了不同的生物和临床特征.
- 这种分类为了解乳腺癌免疫力和指导ICI治疗提供了重要的临床影响.
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