Editorial Note on General Science and Medicine

Abstract

Lung cancer is currently one of the tumor diseases with the highest incidence in the world. NSCLC is the most common type of lung cancer pathology, accounting for more than 80% of all lung cancers. With the continuous popularization and advancement of diagnostic methods such as CT imaging, more and more early-stage NSCLC patients have been diagnosed and the increasing incidence has aroused widespread attention in its pathogenesis and prognosis research. Although many scholars have devoted substantial efforts in the research on the pathogenesis and prognosis of NSCLC, its molecular mechanism is still not well explained. In order to screen and identify candidate genes for the occurrence and prognosis of NSCLC, we downloaded gene data sets GSE10072, GSE19188 and GSE40791 from the Gene Expression Omnibus (GEO) database, and screened and identified differentially expressed genes ( DEGs), and then perform KEGG and GO functional enrichment analysis, survival analysis, risk analysis, and prognosis analysis on the selected Hub genes. By constructing a protein interaction network (PPI), String and Cytoscape performed modular analysis and identified 579 differential genes, consisting of 343 up-regulated genes and 236 down-regulated genes. Seven valuable Hub genes were identified, and biological process analysis showed that these genes were mainly enriched in cell division and nuclear division. Survival analysis showed that CEP55(Centrosomal Protein 55), NMU(Neuromedin U), CAV1(Caveolin 1), TBX3(T-Box Transcription Factor 3), FBLN1(Fibulin 1), SYNM(Synemin)and METTL7A may be involved in the development, invasion or metastasis of NSCLC. Prognostic analysis and independent prognostic analysis showed that the expression of these Hub gene-related mRNAs was related to the prognostic risk of NSCLC. Risk analysis showed that the selected Hub gene was closely related to the overall survival time of patients with NSCLC. In summary, the DEGs and Hub genes screened and identified in this study will help us understand and study the molecular mechanisms of carcinogenic effects with NSCLC, and provide potential gene targeting for the diagnosis and treatment of NSCLC in the future treatment way.