Unknown

Dataset Information

Serum protein N-glycome patterns reveal alterations associated with endometrial cancer and its phenotypes of differentiation.


ABSTRACT:

Background

Aberrant N-glycosylation and its involvement in pathogenesis have been reported in endometrial cancer (EC). Nevertheless, the serum N-glycomic signature of EC remains unknown. Here, we investigated serum N-glycome patterns of EC to identify candidate biomarkers.

Methods

This study enrolled 34 untreated EC patients and 34 matched healthy controls (HC) from Peking Union Medical College Hospital. State-of-the-art MS-based methods were employed for N-glycans profiling. Multivariate and univariate statistical analyses were used to identify discriminative N-glycans driving classification. Receiver operating characteristic analyses were performed to evaluate classification accuracy.

Results

EC patients displayed distinct differences in serum N-glycome and had abno

SUBMITTER: Zhang Z 

PROVIDER: S-EPMC10331720 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature