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Dataset Information

An NRG Oncology/GOG study of molecular classification for risk prediction in endometrioid endometrial cancer.


ABSTRACT:

Objectives

The purpose of this study was to assess the prognostic significance of a simplified, clinically accessible classification system for endometrioid endometrial cancers combining Lynch syndrome screening and molecular risk stratification.

Methods

Tumors from NRG/GOG GOG210 were evaluated for mismatch repair defects (MSI, MMR IHC, and MLH1 methylation), POLE mutations, and loss of heterozygosity. TP53 was evaluated in a subset of cases. Tumors were assigned to four molecular classes. Relationships between molecular classes and clinicopathologic variables were assessed using contingency tests and Cox proportional methods.

Results

Molecular classification was successful for 982 tumors. Based on the NCI consensus MSI panel assessing MSI and loss of heterozygosity

SUBMITTER: Cosgrove CM 

PROVIDER: S-EPMC5756518 | biostudies-literature | 2018 Jan

REPOSITORIES: biostudies-literature