Moderator: Victoria Bae-Jump, MD

Presentations:

• Promising immunotherapeutic strategies based on different immune characteristics of tumor-infiltrating lymphocytes according to ProMisE classifier in endometrial cancer (Jung Chul Kim, MD)
• Clinical outcomes patients with high tumor mutational burden, high microsatellite stability, and mismatch repair deficiency in a multi-institutional endometrial cancer consortium (Sarah Lee, MD)
• Predicting endometrial cancer molecular classification from histology slides using deep learning (Vincent Wagner, MD)
• Molecular subtyping in endometrial cancer: a promising strategy to guide fertility preservation (Beryl Manning-Geist, MD)
• Prediction of high-grade serous ovarian cancer (HGSC) using DNA methylation patterns with deep machine learning (ML) (Sofia Gabrilovich, MD)
• Identification of an exosomal-derived biomarker signature for early detection of ovarian cancer in BRCA mutation carriers (Han T Cun, MD)