Screening Of Key Prognostic Genes In Non-small Cell Lung Cancer Based On Gene Expression Data From TCGA And GEO Databases

Background: Lung cancer has been the most common cause of cancer-related death globally.Non-small cell lung cancer(NSCLC)comprises approximately 85% of all lung cancers.Due to the characteristics of its recurrence,invasion,and metastasis,the longterm survival rate of patients with NSCLC remains very low.Thus,in the era of precision medicine,it is of great significance to explore new prognostic genes of non-small cell lung cancer.The emergence of sequencing technology has made great progress in understanding the molecular mechanisms and biomarkers of various diseases.The focus of this study is to analyze core genes,including kif2 c,that are differentially expressed in NSCLC and related to prognosis,and explore whether they can be used as molecular biomarkers related to non-small cell lung cancer to provide novel targets for the treatment of lung cancer.Methods:Differentially expressed and prognosis-related genes between NSCLC and normal lung tissues were screened by GEO and TCGA databases.The selected genes were analyzed by GO-KEGG functional enrichment analysis to explore their biological significance and relationship.Protein-protein interaction analysis was used to screen the above genes,and a series of core genes with the same and similar functions may be involved in the whole metabolic process or signal transduction pathway.The prognostic significance of core genes in NSCLC was evaluated by Kaplan-Meier method.The immunohistochemical staining images of core genes were obtained from HPA database to evaluate the expression differences of core genes in NSCLC.Immunohistochemical staining was used to detect the protein expression level of kif2 c,one of the core genes,in lung cancer tissues and adjacent normal tissues,and the correlation between protein expression level and clinicopathological factors was statistically analyzed.The effect of kif2 c on the malignant phenotype of lung cancer cells was observed by changing kif2 c expression levels in NSCLC cells in vitro,and the regulation of kif2 c on m TORC1signaling pathway activity was demonstrated by Western blot analysis.Results:Bioinformatics analysis showed that Aurka,bub1,ccnb1,ccna2,kif2 c,melk,mki67,plk1,tpx2,ube2 c were core genes that were significantly differentially expressed in lung cancer tissues and normal tissues and related to prognosis.Immunohistochemical results revealed that kif2 c was positively expressed in lung cancer tissues.Its high expression is positively correlated with poor differentiation,high TNM stage and lymph node metastasis of lung cancer.Bidirectional regulation of kif2 c expression by plasmid and si RNA in vitro showed that the regulation of KIF2 C expression could regulate the proliferation and migration of lung cancer cells.Western blot results demonstrated that KIF2 C regulates m TORC1 signaling pathway activity.Conclusion :In summary,Aurka,bub1,ccnb1,ccna2,kif2 c,melk,mki67,plk1,tpx2,ube2 c are highly expressed in non-small cell lung cancer and can affect the prognosis of patients with lung cancer.Kif2 c can regulate m TORC1 signaling.Kif2 c can regulate m TORC1 signal transduction and may be a new therapeutic target for non-small-cell lung carcinoma.The findings of this study provide new insights into the molecular mechanisms of NSCLC and highlight the potential of kif2 c as a molecular biomarker for the diagnosis and treatment of NSCLC.