在接受免疫疗法和向治疗的黑色素瘤患者中对个性化反应监测的方向
Federico Venturi1,2, Elisabetta Magnaterra1,2, Alberto Gualandi1
1Department of Medical and Surgical Sciences (DIMEC), Alma Mater Studiorum, University of Bologna, 40138 Bologna, Italy.
Diagnostics (Basel, Switzerland)
|December 11, 2025
概括
与治疗相关的不良事件 (TRAE) 和ctDNA和miRNA等生物标志物可以预测黑色素瘤治疗反应. 将这些因素结合起来,可以提供个性化的方法来监测患者的结果.
科学领域:
- 在瘤学瘤学.
- 免疫学 免疫学 免疫学
- 遗传学 是一个遗传学.
背景情况:
- 先进的皮肤黑色素瘤治疗已经在免疫疗法和向疗法方面取得了进展.
- 预测患者的反应和管理耐药性仍然是重大挑战.
研究的目的:
- 评估与治疗相关的不良事件 (TRAE) 和循环生物标志物的预后和预测价值.
- 通过预测治疗结果来个性化黑色素瘤的治疗策略.
主要方法:
- 从2010年到2025年进行全面的文献搜索 (PubMed,Scopus,科学网).
- 包括临床试验,观察队列和翻译研究.
- 专注于治疗有效性的动态指标和整合性建模.
主要成果:
- 低到中等等级的TRAE (例如白风,皮疹) 与免疫治疗反应相关.
- 循环瘤DNA (ctDNA) 清除预测了持久的反应.
- 微RNAs (miRNAs) 和干扰素驱动的基因表达提升了预测的准确性.
结论:
- 结合TRAEs,ctDNA,miRNA签名和基因表达的整合模型有助于早期,个性化的反应监测.
- 测试的前景验证和协调对于临床翻译至关重要.
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