Clinical evaluation of a droplet digital PCR assay for detecting <i>POLE</i> mutations and molecular classification of endometrial cancer
Gilhyang Kim, Song Kook Lee, Dong Hoon Suh, Kidong Kim, Jae Hong No, Yong Beom Kim, Hyojin Kim
Abstract
OBJECTIVE: mutations in endometrial cancer (EC) and guiding its molecular classification. METHODS: mutations at 5 known hotspots (P286R, S297F, V411L, A456P, and S459F). Expressions of p53 and mismatch repair proteins were identified using immunohistochemistry. RESULTS: -mutated ECs had the best PFS outcome (p<0.001). When only intermediate, high-intermediate, and high-risk groups were analyzed for subgroups, molecular classification still showed differences both in PFS (p=0.003) and overall survival (p=0.017). CONCLUSION: mutation status using ddPCR and p53/mismatch repair protein expressions using immunohistochemistry, which can rapidly and accurately determine the molecular subtype of EC.