Clinical evaluation of a droplet digital PCR assay for detecting POLE 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

Published in: Journal of gynecologic oncology (2021)

mutation status using ddPCR and p53/mismatch repair protein expressions using immunohistochemistry, which can rapidly and accurately determine the molecular subtype of EC.

Keyphrases

endometrial cancer
clinical evaluation
high throughput
machine learning
single cell
amino acid
binding protein
small molecule
real time pcr