Spain has launched MamoRisk, a pioneering study to develop a personalized breast cancer risk calculator that incorporates genetic, lifestyle, and mammographic data. The project involves 10,000 women from 14 autonomous communities and aims to tailor screening programs based on individual risk levels.
MamoRisk uses the BOADICEA algorithm, which combines information on genetic variants (including high-risk BRCA1/BRCA2 genes), family history, lifestyle factors, and mammographic density. Participants provide a saliva sample for genetic analysis and share clinical data. The model classifies women into low, intermediate, or high risk for developing breast cancer within two and five years Source: El Mundo.
A total of 10,000 women will be enrolled: 4,000 diagnosed with breast cancer and 6,000 healthy controls, randomly selected from screening programs with at least six years of follow-up. The model's predictions will be compared against actual outcomes to validate its accuracy Source: Infobae.
If validated, the tool could replace the current one-size-fits-all screening approach. Women at higher risk would receive more intensive monitoring or preventive measures, while those at lower risk might be screened less frequently, optimizing resources and improving early detection . The project also integrates artificial intelligence for mammographic analysis and is supported by 14 autonomous communities .
“Este proyecto es un estudio donde pretendemos calcular el riesgo individual de cada mujer a desarrollar cáncer de mama antes de que la enfermedad aparezca. Lo hemos comparado con una calculadora en la que se meten una serie de factores de riesgo que nos permiten clasificar a cada mujer.”
“MamoRisk proporciona el equivalente a 'una calculadora' donde se introducen los factores de riesgo de cada mujer y se obtiene una clasificación de riesgo bajo, intermedio y alto, a dos y cinco años vista”
“Está financiado con 1,2 millones del Ministerio de Ciencia, a través de la convocatoria de Medicina Personalizada de Precisión del Instituto de Salud Carlos III.”
“Si el modelo de predicción de riesgo funciona, y empieza a usarse en los programas de cribado, las mujeres con más probabilidad de desarrollar cáncer serán candidatas a recibir un seguimiento mucho más intenso.”