Identification of glycogene signature as a tool to predict the clinical outcome and immunotherapy response in breast cancer.

ABSTRACT:

Background

Breast cancer is one of the most important diseases in women around the world. Glycosylation modification correlates with carcinogenesis and roles of glycogenes in the clinical outcome and immune microenvironment of breast cancer are unclear.

Methods

A total of 1297 breast cancer and normal cases in the TCGA and GTEx databases were enrolled and the transcriptional and survival information were extracted to identify prognostic glycogenes using Univariate Cox, LASSO regression, Multivariate Cox analyses and Kaplan-Meier method. The immune infiltration pattern was explored by the single sample gene set enrichment method. The HLA and immune checkpoint genes expression were also compared in different risk groups. The expressions of a glycogene MGAT5 as well as its prod

SUBMITTER: Lin S 

PROVIDER: S-EPMC9515430 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature