基线血静生物标志物评估确定乳腺癌患者在化疗期间有高风险的静脉血栓栓塞
Marina Marchetti1,2, Patricia Gomez-Rosas1,3,4, Laura Russo1
1Department of Immunohematology and Transfusion Medicine, Hospital Papa Giovanni XXIII, 24127 Bergamo, Italy.
Cancers
|August 28, 2025
概括
在转移性乳腺癌患者中开发了一种新的风险评估模型 (RAM),使用Ki-67和纤维素水平. 这种模型准确地识别高风险个体,帮助个性化血栓预防策略.
科学领域:
- 癌症学
- 血液学
- 血栓形成研究
背景情况:
- 转移性乳腺癌显著增加静脉血栓塞栓症 (VTE) 的风险,尤其是在化疗期间.
- 现有的风险评估模型 (RAMs) 不足以预测这些患者的静脉突发症.
- 对于转移性乳腺癌,有一个专门的静脉瘤预测模型是非常必要的.
研究的目的:
- 开发和验证用于预测新诊断的转移性乳腺癌患者的新风险评估模型 (RAM).
- 在这一群体中确定VTE的关键临床和生物预测因素.
- 改进风险分层,超越目前已验证的模型.
主要方法:
- 在189名转移性乳腺癌患者开始抗瘤治疗的前性观察性多中心研究中.
- 对静脉瘤和死亡率的监测,用血液样本分析D-二聚体,纤维素,FVIII,前列血片段1+2和血生成.
- 竞争风险分析和多变量回归以确定重要的VTE预测因素.
主要成果:
- 一年累计发病率和死亡率分别为7. 0%和12%.
- Ki-67和纤维素水平被确定为VTE最重要的预测因素.
- 基于Ki-67和纤维素开发的RAM达到0. 78的c统计值,有效地将患者分为低风险和高风险VTE组 (2%对13%).
结论:
- 在转移性乳腺癌中使用Ki-67和纤维素开发了一种新的,准确的VTE风险.
- 这种模型可以精确识别高风险患者,促进个性化血栓预防.
- 建议进行外部验证,以支持这种风险分层工具的临床实施.
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