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验证了两种预测模型,用于形甲状腺癌 (ATC) 的生存
Lukas Käsmann1,2, Alexander Nieto3, Robert Rennollet4
1Department of Radiation Oncology, University Hospital, LMU Munich, Munich, 81377, Germany. Lukas.Kaesmann@med.uni-muenchen.de.
BMC cancer
|November 29, 2024
概括
苏吉塔尼预测指数 (SPI) 准确地预测了形甲状腺癌 (ATC) 患者的生存率,其表现优于马兰德-克雷蒂预测得分 (MCPS). SPI有助于治疗分配,以获得更好的患者结果.
科学领域:
- 在瘤学瘤学.
- 甲状腺癌研究研究
- 预测生物标志物 预测生物标志物
背景情况:
- 无塑性甲状腺癌 (ATC) 预后不佳,需要工具来识别长期幸存者以进行量身定制的治疗.
- 准确的预后得分对于明智的临床决策和患者咨询至关重要.
- 这项研究旨在验证和比较一个独立的ATC队列中的两个预后得分.
研究的目的:
- 为了验证Sugitani预后指数 (SPI) 和Marchand-Crety预后得分 (MCPS) 以预测形甲状腺癌的生存率.
- 为了确定哪个预后指数表明患者存活率的优越歧视.
- 评估这些分数在指导治疗分配和了解患者预后方面的有用性.
主要方法:
- 一组34名患有组织学确认的ATC的患者被追溯分析.
- 用对应统计数据,AUC,NRI和IDI对6个月生存期进行了预后歧视比较.
- 在一小部分患者中进行了下一代测序,没有发现可用药物的突变.
主要成果:
- 苏吉塔尼预测指数 (SPI) 显示,与MCPS (AUC = 0.69) 相比,预测6个月生存率的曲线下面面积 (AUC) 显著更高,为0.85.
- 在6个月生存预测方面,SPI正确地重新分类了73%的患者,显著优于MCPS (p=0.0237).
- 该队列的中位生存期为5个月.
结论:
- 苏吉塔尼预测指数 (SPI) 是一个比马兰德-克雷蒂预测得分 (MCPS) 更准确的工具,用于预测ATC患者的预期寿命.
- 建议SPI用于临床指导和治疗分配在形甲状腺癌.
- 综合性基因分析对于指导ATC的向疗法至关重要.
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