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在接受免疫检查点抑制剂的高级固体瘤患者中,对超级进展性疾病的预测模型:一项泛癌研究
Yaping Long1, Wenyu Yang1, Yibing Bai2,3
1School of Medicine, Nankai University, 94 Weijin Road, Nankai, Tianjin, China.
Cancer cell international
|September 30, 2023
概括
超渐进性疾病 (HPD) 是一种免疫疗法反应差,瘤迅速进展. 这项研究确定了像BMI和转移这样的关键因素来预测HPD风险,有助于患者分层和治疗选择.
科学领域:
- 在瘤学瘤学.
- 免疫治疗是一种免疫疗法.
- 癌症的进展 癌症的进展
背景情况:
- 超渐进性疾病 (HPD) 是一种免疫疗法并发症,其特征是瘤的快速进展.
- 目前缺少HPD的预测方法,需要对预测因素进行研究.
- 这项研究旨在确定HPD的预测因子,并开发风险分层模型.
研究的目的:
- 在接受免疫检查点抑制剂 (ICI) 的患者中,确定与高进展性疾病 (HPD) 相关的临床因素.
- 开发和验证HPD发病率的预测模型.
- 帮助瘤学家分层患有HPD风险的患者.
主要方法:
- 对接受ICI治疗的晚期癌症患者的回顾性审查.
- 计算瘤生长动力学比率 (TGKr) 以确定HPD.
- 倾向性得分与混因素的控制匹配.
- 构建和验证一个预测二进制分类模型 (nomogram).
主要成果:
- 在867名患者中,36名患者 (TGKr > 2) 被确定为HPD.
- 与非HPD患者相比,HPD患者的临床结果明显较差.
- 与HPD发病率相关的因素包括BMI,贫血,非排水淋巴结转移,胰腺转移和组合治疗 (抗血管生成或化疗).
- 预测性诺姆图得到的AUC为0.850 (训练) 和0.812 (测试).
结论:
- 通过使用现实世界的数据,开发了一种临床可行的HPD发病率预测模型.
- 该模型有助于识别患有HPD高风险的患者.
- 这种工具可以帮助瘤学家选择适合免疫治疗的治疗策略.
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