Riondino Silvia, Ferroni Patrizia, Zanzotto Fabio Massimo, Roselli Mario, Guadagni Fiorella
Interinstitutional Multidisciplinary Biobank, IRCCS San Raffaele Pisana, 00166 Rome, Italy.
Department of Systems Medicine, Medical Oncology, University of Rome Tor Vergata, 00133 Rome, Italy.
Cancers (Basel). 2019 Jan 15;11(1):95. doi: 10.3390/cancers11010095.
Risk prediction of chemotherapy-associated venous thromboembolism (VTE) is a compelling challenge in contemporary oncology, as VTE may result in treatment delays, impaired quality of life, and increased mortality. Current guidelines do not recommend thromboprophylaxis for primary prevention, but assessment of the patient's individual risk of VTE prior to chemotherapy is generally advocated. In recent years, efforts have been devoted to building accurate predictive tools for VTE risk assessment in cancer patients. This review focuses on candidate biomarkers and prediction models currently under investigation, considering their advantages and disadvantages, and discussing their diagnostic performance and potential pitfalls.
化疗相关静脉血栓栓塞症(VTE)的风险预测是当代肿瘤学中一项极具挑战性的任务,因为VTE可能导致治疗延迟、生活质量受损以及死亡率增加。目前的指南不推荐进行一级预防的血栓预防,但通常提倡在化疗前评估患者发生VTE的个体风险。近年来,人们致力于构建准确的预测工具,用于评估癌症患者的VTE风险。本综述重点关注目前正在研究的候选生物标志物和预测模型,考虑它们的优缺点,并讨论它们的诊断性能和潜在缺陷。