Ability of the novel MAGIC algorithm to predict progression free survival and overall survival in patients with pelvic malignancies (2270)

The Malignancy Assessment Using Gene Identification in Captured Cells (MAGIC) algorithm is a novel risk assessment tool that utilizes gene expression from captured circulating tumor cells and serum biomarkers to predict the presence of a malignancy in patients with a pelvic mass. The MAGIC Algorithm (recently published in the Journal of Obstetrics and Gynecology) demonstrated a sensitivity of 95%, a specificity of 76%, and an accuracy of 83% for detecting EOC in patients with pelvic mass. The algorithm utilizes expression levels of 9 genes and 4 serum biomarkers to predict the presence of a malignancy. The objective of this study was to evaluate the MAGIC algorithm as a prognostic tool for predicting progression-free and overall survival (PFS and OS).