预测反编程细胞死亡的生物标志物-1抗体治疗对头癌的影响
Katsunori Tanaka1, Hitoshi Hirakawa1, Mikio Suzuki1
1Department of Otorhinolaryngology, Head and Neck Surgery, Graduate School of Medicine, University of the Ryukyus, 207 Uehara, Nishihara-cho, Nakagami-gun, Okinawa 903-0215, Japan.
Current oncology (Toronto, Ont.)
|June 27, 2023
概括
性能状况和营养标志物预测了接受抗编程细胞死亡-1 (PD-1) 治疗的头癌患者的生存率. 编程细胞死亡-1 (PD-L1) 多态可能表明免疫相关不良事件 (irAEs) 的风险.
科学领域:
- 在瘤学瘤学.
- 免疫治疗是一种免疫疗法.
- 遗传学 遗传学是一种遗传学.
背景情况:
- 复发或转移的头支状细胞癌 (R/M-HNSCC) 患者可以从抗编程细胞死亡-1 (PD-1) 疗法中受益.
- 对抗PD-1治疗反应和免疫相关不良事件 (irAEs) 的预测生物标志物在R/M-HNSCC中缺乏.
研究的目的:
- 研究炎症和营养状况的作用,以及编程细胞死亡-1 (PD-L1) 多态性,用于预测使用抗PD-1疗法治疗R/M-HNSCC患者的结果.
主要方法:
- 在42名R/M-HNSCC患者中分析了炎症和营养状况 (使用老年营养风险指数,修改格拉斯哥预后得分,预后营养指数) 和PD-L1多态 (rs4143815,rs2282055).
- 多变量分析以确定生存结果和irAEs的重要指标.
主要成果:
- 性能状况和炎症/营养标志物是生存结果的重要预测因素.
- 具有PD-L1多形态祖先等位基因的患者经历了较少的irAEs.
- 治疗前的性能状况和营养状况与PD-1治疗后的生存率有很强的相关性.
结论:
- 性能状况和常规可测量的炎症/营养指标对于预测接受抗PD-1治疗的R/M-HNSCC患者的存活率非常有价值.
- PD-L1多态表现为预测该患者群体中irrAEs的生物标志物具有潜力.
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