Novel model for colorectal cancer risk prediction

A novel risk model could help clinicians identify patients who may have colorectal cancer.

In a study published in the European Journal of Human Genetics, researchers used the UK Biobank to analyze the data of more than 50,000 patients of European ancestry who had symptoms of colorectal cancer. They then developed a polygenic risk score and integrated risk model using the patients’ demographics, symptoms and genetic variants linked to an increased colorectal cancer risk.

The researchers found that the model combining genetic and clinical factors demonstrated accuracy in predicting colorectal cancer diagnosis within two years and outperformed the models that didn’t incorporate genetic information. Symptoms associated with a greater risk of developing colorectal cancer were abdominal pain, rectal bleeding and change in bowel habits.

The researchers concluded that integrating the novel risk model into clinical decision-making could improve colorectal cancer risk stratification and early diagnosis.

Read more: European Journal of Human Genetics

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