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Potential Key Markers for Predicting the Prognosis of Gastric Adenocarcinoma based on the Expression of Ferroptosis Related LncRNA

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Abstract Background Gastric cancer is one of the most common malignant tumors, and it ranks third in global cancer-related mortality. At present, there is still no optimal treatment for gastric cancer, which makes it important to identify new therapeutic targets. This research aims to identify new targeted treatments for gastric adenocarcinoma by constructing a ferroptosis-related lncRNA prognostic feature model.MethodsThe gene expression profile and clinical data of gastric adenocarcinoma patients were downloaded from TCGA database. FerrDb database was used to determine the expression of iron death related genes. We used R software to clean the TCAG gastric adenocarcinoma gene expression cohort and screen iron death related differential genes and lncrna, and then carried out go and KEGG functional enrichment analysis of the related differential genes. The potential prognostic markers and immune infiltration characteristics were determined by constructing prognostic model and multivariate validation of lncRNA related to ferroptosis prognosis. Finally, the characteristics of immune infiltration were determined by immune correlation analysis.ResultsWe identified 26 ferroptosis-related lncRNA with independent prognostic value. Kaplan-Meier analysis identified high-risk lncRNA associated with poor prognosis of STAD. The risk scoring model constructed by AC115619.1, AC005165.1, LINC01614, AC002451.1 was better than traditional clinicopathological features. The 1, 3, and 5-year survival rates of STAD patients were predicted by the nomogram. GSEA reveals the oxidative respiration and tumor-related pathways in different risk groups. Immune analysis found significant differences in the expression of immune checkpoint-related genes TNFSF9, TNFSF4 and PDCD1LG2 between the two groups of patients. Meanwhile, there were significant differences in APC co stimulation, CCR and checkpoint between the two groups.ConclusionBased on the prognostic characteristics of ferroptosis-related lncRNA, we identified the potential ferroptosis-related lncRNA and immune infiltration characteristics in gastric adenocarcinoma, which will help provide new targeted treatments for gastric adenocarcinoma.
Title: Potential Key Markers for Predicting the Prognosis of Gastric Adenocarcinoma based on the Expression of Ferroptosis Related LncRNA
Description:
Abstract Background Gastric cancer is one of the most common malignant tumors, and it ranks third in global cancer-related mortality.
At present, there is still no optimal treatment for gastric cancer, which makes it important to identify new therapeutic targets.
This research aims to identify new targeted treatments for gastric adenocarcinoma by constructing a ferroptosis-related lncRNA prognostic feature model.
MethodsThe gene expression profile and clinical data of gastric adenocarcinoma patients were downloaded from TCGA database.
FerrDb database was used to determine the expression of iron death related genes.
We used R software to clean the TCAG gastric adenocarcinoma gene expression cohort and screen iron death related differential genes and lncrna, and then carried out go and KEGG functional enrichment analysis of the related differential genes.
The potential prognostic markers and immune infiltration characteristics were determined by constructing prognostic model and multivariate validation of lncRNA related to ferroptosis prognosis.
Finally, the characteristics of immune infiltration were determined by immune correlation analysis.
ResultsWe identified 26 ferroptosis-related lncRNA with independent prognostic value.
Kaplan-Meier analysis identified high-risk lncRNA associated with poor prognosis of STAD.
The risk scoring model constructed by AC115619.
1, AC005165.
1, LINC01614, AC002451.
1 was better than traditional clinicopathological features.
The 1, 3, and 5-year survival rates of STAD patients were predicted by the nomogram.
GSEA reveals the oxidative respiration and tumor-related pathways in different risk groups.
Immune analysis found significant differences in the expression of immune checkpoint-related genes TNFSF9, TNFSF4 and PDCD1LG2 between the two groups of patients.
Meanwhile, there were significant differences in APC co stimulation, CCR and checkpoint between the two groups.
ConclusionBased on the prognostic characteristics of ferroptosis-related lncRNA, we identified the potential ferroptosis-related lncRNA and immune infiltration characteristics in gastric adenocarcinoma, which will help provide new targeted treatments for gastric adenocarcinoma.

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