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Predicting VTE in Cancer Patients: Candidate Biomarkers and Risk Assessment Models
Silvia Riondino1,2, Patrizia Ferroni3,4, Fabio Massimo Zanzotto5
1Interinstitutional Multidisciplinary Biobank, IRCCS San Raffaele Pisana, 00166 Rome, Italy. silvia.riondino@sanraffaele.it.
Cancers
|January 18, 2019
Summary
Predicting chemotherapy-associated venous thromboembolism (VTE) is crucial for cancer care. This review examines biomarkers and models to assess individual VTE risk before treatment, aiming to improve patient outcomes.
Area of Science:
- Oncology
- Hematology
- Medical Diagnostics
Background:
- Chemotherapy-associated venous thromboembolism (VTE) poses significant risks, including treatment delays, reduced quality of life, and increased mortality in cancer patients.
- Current guidelines advocate for individual VTE risk assessment before chemotherapy, though primary prevention thromboprophylaxis is not routinely recommended.
Purpose of the Study:
- To review and analyze candidate biomarkers and prediction models for assessing VTE risk in cancer patients undergoing chemotherapy.
- To evaluate the diagnostic performance, advantages, disadvantages, and potential pitfalls of these predictive tools.
Main Methods:
- Literature review of recent research on VTE risk prediction in oncology.
- Analysis of candidate biomarkers and existing prediction models for chemotherapy-associated VTE.
- Discussion of diagnostic accuracy and clinical applicability of reviewed tools.
Main Results:
- Several candidate biomarkers and prediction models are under investigation for VTE risk stratification.
- These tools show varying degrees of diagnostic performance and have specific limitations.
- The review highlights the need for robust validation of predictive models.
Conclusions:
- Accurate VTE risk prediction is essential for personalized cancer care and optimizing treatment strategies.
- Further research and validation are required to implement reliable predictive tools in clinical practice.
- Improved VTE risk assessment can help mitigate treatment complications and enhance patient survival.
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