Genes and proteins associated with the risk for cancer-associated thrombosis

Abstract

Cancer patients have a four- to sevenfold increased risk of developing cancer-associated thrombosis (CAT), which is associated with a strong increase in morbidity and mortality. Not all cancer patients receive thromboprophylaxis as this may lead to adverse events in a cancer population that is already at increased risk for major bleedings. Different risk prediction models have been developed to identify cancer patients at high risk of developing CAT that may be selected for thromboprophylaxis. However, risk models using the currently established biomarkers and clinical parameters perform poorly, particularly when validated in independent cohorts. Discovery of new and better biomarkers are therefore urgently needed. This review describes how aberrations in the genetic profile of the tumor and host influence a hypercoagulable state, and explores how these can be used as novel biomarker to improve CAT risk prediction.