Based on the results of complex multivariable modeling, we propose a novel strategy for risk assessment of patients with primary ovarian cancer by integration of AID/APOBEC signature-based data sets and clinical risk factors into a combined survival model. This evidence concerns the gene AICDA and ovarian cancer.