To better assess the odds of breast tumors developing in the other breast, researchers make use of the Polygenic Risk Score (PRS). This risk model was developed in collaboration with other researchers in order to determine people's risk of developing a first breast tumor. Next to the well-known BRCA1/2 gene mutations, which significantly increase the risk of developing breast cancer, many other genetic variants can cause a much smaller increase in risk. Assessing all these varieties individually won't render any useful results, but prior research has shown that a combined risk score based on all 313 genetic variants, the PRS313 can be helpful in predicting the risks of developing breast cancer.
The researchers tested their PRS313 against a dataset of more than 56,0000 European breast cancer patients, made available by the Breast Cancer Association Consortium. Patients were tracked for more than eight years. As it turned out, the PRS313 also predicted whether breast cancer patients would develop a tumor in the other breast. These predictions were not as accurate as those for a first tumor, however. "We found a hazard ratio per standard deviation of 1.25," Kramer explains. "To bring our research to the clinic, we created a model that can estimate the risk of developing a second tumor in the other breast before the age of 80. The 10% with the lowest PRS313 turned out to have a 12% risk, against 20% for the 10% of patients with the highest PRS313." The PRS313 may be able to predict the risks for women of Asian descent.
The difference in odds of developing breast cancer in the second breast between the high and low risk groups is minor. "We intend to use the PRS313 model in combination with with other risk factors such as age, family history, other genetic markers, and treatment of the first tumor," prof. dr. Marjanka Schmidt (NKI) explains. "This may help us create a more precise prediction model." Scientists are currently working on the development of a new, combined risk model. All PRS313 results will need to be validated through the use of an independent dataset. "We want to be able to estimate the risks of developing a new breast tumor, which will allow us to develop a personalized plan for each patient," says Schmidt.