Adding genetic scores to risk models in colorectal cancer

C. Gargallo-Puyuelo,Á. Lanas,María Asunción García-Gonzalez

Published 2019 in OncoTarget

ABSTRACT

Colorectal cancer (CRC) represents the second most common cancer worldwide and the third leading cause of cancer death. Most CRCs arise from premalignant colorectal lesions (mainly adenomas) that require years to develop an invasive disease. Early stage detection through the use of screening programs can sharply reduce CRC incidence and mortality allowing for better outcomes of the disease. The effectiveness of these programs may be strongly enhanced by targeting screening to individuals at higher risk. All these studies support the idea that adding genetic, environmental and lifestyle information into a CRC risk prediction model may significantly increase the discriminatory accuracy over models using only age and family history. Risk stratification could still be improved by integrating new discovered susceptibility SNPs to GRS as well as other relevant biomarkers such as epigenetic markers. Combining environmental, lifestyle factors and GRS in risk prediction models can help to tailor CRC prevention measures by adapting the onset age, nature and the intensity of CRC screening strategies.

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