Ontology highlight
ABSTRACT: Background
Traditional classification tools for endometrial carcinoma (EC), such as DNA sequencing, immunohistochemistry (IHC), or PCR, are cumbersome and time-consuming. Large next-generation sequencing (NGS) panels have simplified testing but are expensive. In this study, we propose a concise NGS panel as an effectively viable approach for classifying EC.Materials and methods
We retrospectively enrolled a consecutive EC cohort of hysterectomy with bilateral salpingo-oophorectomy from Fudan University Shanghai Cancer Center between 2020 and 2022. A 46-gene NGS panel was utilized to identify POLE exonuclease domain mutations, microsatellite instability-high (MSI-H), TP53 mutations, and other clinically relevant targets.Results
Tumor tissue samples from 331 EC patien
SUBMITTER: Guo Q
PROVIDER: S-EPMC11421329 | biostudies-literature | 2024 Oct
REPOSITORIES: biostudies-literature