AUTHOR=Bian Chengyu , Sun Xinti , Huang Jingjing , Zhang Wenhao , Mu Guang , Wei Ke , Chen Liang , Xia Yang , Wang Jun 

TITLE=A novel glycosyltransferase-related lncRNA signature correlates with lung adenocarcinoma prognosis

JOURNAL=Frontiers in Oncology

VOLUME=Volume 12 - 2022

YEAR=2022

URL=https://www.frontiersin.org/journals/oncology/articles/10.3389/fonc.2022.950783

DOI=10.3389/fonc.2022.950783

ISSN=2234-943X

ABSTRACT=Background: Lung adenocarcinoma (LUAD) is one of the most fatal cancers in the world. Previous studies have shown the increase in glycosylation level and abnormal expression of related enzymes are closely related to various cancers. LncRNAs play an important role in the proliferation, metabolism, and migration of cancer cells, but the underlying role of glycosyltransferase (GTs) -related lncRNAs in LUAD remains to be elucidated.

Methods: We abstracted 14,056 lncRNAs from The Cancer Genome Atlas (TCGA) dataset and 257 GTs-related genes from Gene Set Enrichment Analysis (GSEA) database. Univariate, LASSO-penalized, and multivariate Cox regression analyses were conducted to construct a GTs-related lncRNA prognosis model. 

Results: 2726 GTs-related lncRNAs were identified through Pearson's correlation analysis and 8 of them were utilized to construct a GTs-related lncRNA model. The overall survival (OS) of the low-risk group continued to be superior to that of the high-risk group according to the subgroups classified by clinical features. The risk model was proved to have independent prognostic characteristics for LUAD by univariate and multivariate Cox regression analyses. The status of the tumor immune microenvironment and the relevant immunotherapy response was significantly different between the two risk groups. The candidate drugs aimed at LUAD subtype differentiation were identified. 

Conclusion: We constructed a risk model comprising 8 GTs-related lncRNAs which was identified as an independent predictor of prognoses to predict patient survival and guide related treatments for patients with LUAD.