Establishment and Validation of Anoikis-related lncRNA Prognostic Model in Lung Adenocarcinoma
Objective: To construct the prognosis model of lung adenocarcinoma(LUAD)based on anoikis-related lncRNAs and explore the potential target of therapy. Methods: The transcriptome data and clinical information of LUAD were downloaded from the TCGA database, and the anoikis-related genes were obtained from the GeneCards website. Co-expression analysis and differential analysis were used to screen differentially expressed genes. A prognostic model of anoikis-related lncRNAs in LUAD was constructed by Cox regression analysis and Lasso regression analysis, and its effectiveness was further verified. Finally, gene set enrichment analysis (GSEA) and immune correlation analysis were performed on the samples. Results: A prognostic model consisting of eight anoikis-related lncRNAs was constructed based on 800 differentially expressed genes. Survival analysis results showed that the over-all survival of the high risk group was lower than the low risk group (P<0.05). Cox regression analysis and ROC curves verify the accuracy of the model. GSEA analysis showed that the low risk group was more enriched in immune-related signaling pathways. Immune correlation analysis showed that the prognostic model was related to immune cells, immune function, and immune check-points. Conclusion: The prognostic model of LUAD based on eight anoikis-related lncRNAs has good prediction efficiency and provides a reference for the treatment of LUAD.
万方数据
维普
