Integrated analysis of TCGA data identifies endoplasmic reticulum stress-related lncRNA signature in stomach adenocarcinoma

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.