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Hemostatic biomarkers in cancer progression
Anna Falanga1, Marina Marchetti1
1Division of Immunohematology and Transfusion Medicine, Hospital Papa Giovanni XXIII, Bergamo, Italy.
Thrombosis Research
|April 29, 2018
Summary
Cancer and blood clotting are closely linked, with hemostasis biomarkers aiding in predicting cancer progression and thrombotic risk. Research explores these clotting activation products for cancer diagnosis and monitoring.
Area of Science:
- Oncology
- Hematology
- Biomarker Discovery
Background:
- Malignant diseases disrupt hemostasis, favoring procoagulant states and increasing thrombosis risk.
- Hemostasis mechanisms are integral to tumor progression, angiogenesis, and metastasis.
- The intricate link between cancer and the clotting system necessitates understanding hemostasis biomarkers.
Purpose of the Study:
- To review published findings on hemostasis biomarkers in cancer.
- To focus on current research and future directions for clotting activation products as cancer biomarkers.
- To explore the predictive value of these biomarkers for cancer outcomes and thrombotic risk.
Main Methods:
- Systematic review of published studies on hemostasis and cancer.
- Analysis of circulating biomarkers related to coagulation, fibrinolysis, platelets, and endothelium.
- Focus on research investigating clotting activation bioproducts.
Main Results:
- Hemostatic imbalance is a hallmark of malignant disease, associated with thrombotic complications.
- Circulating biomarkers of hemostasis activation are extensively studied for cancer outcome prediction.
- These biomarkers show potential in predicting both cancer progression and thrombotic risk.
Conclusions:
- Clotting system activation is deeply intertwined with cancer progression and metastasis.
- Circulating biomarkers offer a promising avenue for monitoring cancer disease and patient risk.
- Further research into clotting activation bioproducts is crucial for advancing cancer diagnostics and therapeutics.
Keywords:
BiomarkersCancerCancer prognosisFibrinogenHypercoagulabilityMicroparticlesNETsPredictive factorsThrombin generationd-dimerMore Related Videos
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