针对性蛋白质组学决定的多生物标志物概况开发了用于预后和晚期宫癌免疫治疗反应的分类器
Xu Zhang1,2, Jin Li3,4, Liuke Yang5
1NHC Key Laboratory of Reproduction Regulation, Shanghai Engineering Research Center of Reproductive Health Drug and Devices, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai, China.
Frontiers in immunology
|June 5, 2024
概括
这项研究确定了一个由五种蛋白质生物标志物组成的小组 (ITGB5,TGF-α,TLR3,WIF-1,ERBB3) 以预测宫癌 (CC) 患者对免疫疗法的反应,改善晚期疾病的个性化治疗策略.
科学领域:
- 在瘤学瘤学.
- 免疫治疗是一种免疫疗法.
- 蛋白质组学是指蛋白质组学.
背景情况:
- 宫癌 (CC) 构成了全球严重的健康负担,在晚期或复发性疾病中表现不佳.
- 由于瘤的复杂性,单个生物标志物不足以预测CC的预后或免疫治疗反应.
研究的目的:
- 确定蛋白质生物标志物,用于预测宫癌患者的预后和免疫治疗反应.
- 探索针对个性化免疫治疗策略的多生物标志物概况.
主要方法:
- 奥林克蛋白质学分析了接受免疫治疗的CC患者血中的92种与瘤学相关的蛋白质.
- 在部分响应 (PR) 和渐进性疾病 (PD) 组中比较治疗前和治疗后的蛋白质表达.
主要成果:
- 在PR和PD组中,在治疗前和治疗后确定了55种不同表达的蛋白质.
- 一个由五种蛋白质组成的模型 (ITGB5,TGF-α,TLR3,WIF-1,ERBB3) 显示了CC免疫治疗预后的强大预测性能.
- 在TCGA-CESC数据集中验证了WIF-1在CC免疫疗法中表现出负相关性和新作用.
结论:
- 多种生物标志物概况可以有效预测CC的预后,并确定受益于免疫治疗的患者.
- 这些发现支持针对选择有限,预后不佳的患者进行个性化免疫疗法治疗.
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