A new strategy in molecular typing: the accuracy of an NGS panel for the molecular classification of endometrial cancers.

ABSTRACT:

Background

Multiplatform molecular subtyping has been put into clinical practice as an alternative for The Cancer Genome Atlas (TCGA)-based classification for endometrial cancer (EC), which proved a tool for predicting prognosis and guiding treatment. The traditional methods for the molecular classification of EC only based on pathological indicators are not accurate. The present study aimed to classify EC on a molecular level and explored the possibility of a one-time solution to guide clinical treatment and prognosis determination by utilizing data from a next-generation sequencing (NGS) panel. The ultimate aim was to utilize multiplatform testing to overcome disadvantages of long detection periods and limitations in the information regarding genetic variation.

Methods

An

SUBMITTER: Li Y 

PROVIDER: S-EPMC9469165 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature