Integrated analysis of TCGA data identifies endoplasmic reticulum stress-related lncRNA signature in stomach adenocarcinoma
Author:
Gao Yuan12, Zhang Huxiong3, Tian Xiaoxuan12
Affiliation:
1. State Key Laboratory of Component-based Chinese Medicine , Tianjin University of Traditional Chinese Medicine , Tianjin , China 2. Haihe Laboratory of Modern Chinese Medicine , Tianjin , China 3. Inner Mongolia Autonomous Region Institute of Ultrasound Imaging , Ordos Central Hospital , Ordos City , Inner Mongolia Autonomous Region , China
Abstract
Abstract
Objectives
To investigaed the role of endoplasmic reticulum stress (ERS)-related long non-coding RNAs (lncRNAs) in stomach adenocarcinoma (STAD) using TCGA data.
Methods
This study integrated clinical, transcriptomic, and tumor data from the Cancer Genome Atlas (TCGA). The expression of ERS genes was evaluated, alongside their association with identified lncRNAs. Gene set enrichment analysis and immune cell infiltration analysis were performed to elucidate the biological pathways influenced by these lncRNAs.
Results
The study identified five lncRNAs – AC012055.1, LINC01235, LINC00571, LINC02073, and CFAP61-AS1 – strongly correlated with ERS pathways and cancer prognosis. A prognostic model based on these lncRNAs was developed and validated across low- and high-risk groups. Potential biological pathways associated with these lncRNAs were uncovered through immune cell infiltration and GSEA. Additionally, screening identified drugs potentially effective against STAD, highlighting co-expressed genes as probable therapeutic targets.
Conclusions
This research offers detailed insights into the molecular mechanisms of STAD, enhancing understanding of potential therapeutic targets and showing promise for clinical applications.
Funder
Inner Mongolia Autonomous Region Health and Health Technology Plan Foundation Science and Technology Program of Tianjin
Publisher
Walter de Gruyter GmbH
Reference45 articles.
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