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Dataset Information

Identification of molecular subtypes for endometrial carcinoma using a 46-gene next-generation sequencing panel: a retrospective study on a consecutive cohort.


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