Identification of CA9，an iron death-related gene in lung adenocarcinoma based on the TCGA database

doi:10.3877/cma.j.issn.1674-6902.2024.06.007

Abstract

Abstract:

Objective

To explore and verify the key Ferroptosis related genes and drug sensitivity analysis that affect the prognosis of lung adenocarcinoma （LUAD）.

Methods

Firstly，data were downloaded from TCGA and GEO databases.Secondly，the transcriptome expression profiles downloaded from the databases were subjected to differential expression analysis，GO and KEGG enrichment analysis，WGCNA co-expression analysis，intersection with iron death related genes were taken and KM survival analysis was performed to obtain key genes，and drug sensitivity analysis was performed.

Results

964 （259 upregulated and were downregulated）and 193 differentially expressed genes（108 upregulated and 85 downregulated） were obtained from TCGA dataset and GEO dataset respectively，which were related to extracellular matrix organization and cell adhesion molecule.5 303，362 genes were obtained by WGCNA co-expression analysis，which were intersected with Ferroptosis related genes，and two characteristic genes CP and CA9 were obtained.Compared with normal samples，CP and CA9 were highly expressed in LUAD samples （P＜0.001），which were mostly highly expressed in pancarcinoma.KM survival analysis showed that those with high expression of CA9 had a short survival period （P＜0.05），while there was no statistically significant difference between CP analysis and LUAD survival period （P＞0.05）.CA9 was a risk gene of LUAD and positively correlated with the sensitivity of the two drugs.

Conclusions

The key Ferroptosis related gene CA9 which affects the prognosis of lung adenocarcinoma was explored and verified by bioinformatics，which provides a potential therapeutic target for lung adenocarcinoma.

Key words: Lung Adenocarcinoma, Ferroptosis, Biomarkers, Related gene, Prognosis

Yan Wang, Meiling Sun, Lingfeng Min. Identification of CA9，an iron death-related gene in lung adenocarcinoma based on the TCGA database[J]. Chinese Journal of Lung Diseases(Electronic Edition), 2024, 17(06): 888-894.

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URL: https://zhfbjbzz.cma-cmc.com.cn/EN/10.3877/cma.j.issn.1674-6902.2024.06.007

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