This research investigates metabolic differences in ductal carcinoma in situ (DCIS) to predict breast cancer recurrence. Using gene expression data and computational modeling, it identifies increased fatty acid synthesis as a potential biomarker of recurrence. The work aims to improve risk prediction and personalize prevention strategies across diverse patient populations.