Predicting VTE in Cancer Patients: Candidate Biomarkers and Risk Assessment Models

Cancers

FabioMassimo Zanzotto¹  Mario Roselli²  Fiorella Guadagni³  Patrizia Ferroni³  Silvia Riondino³ 

[1] Department of Enterprise Engineering, University of Rome “Tor Vergata”, 00133 Rome, Italy;Department of Systems Medicine, Medical Oncology, University of Rome Tor Vergata, 00133 Rome, Italy;Interinstitutional Multidisciplinary Biobank, IRCCS San Raffaele Pisana, 00166 Rome, Italy;

关键词: venous thromboembolism;    biomarkers;    clinical decision systems;    risk assessment models;    machine learning;   

DOI  :  10.3390/cancers11010095

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown