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- W3209100574 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." @default.
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- W3209100574 date "2021-01-01" @default.
- W3209100574 modified "2023-09-24" @default.
- W3209100574 title "Screening and Identification of Different Expressed Genes (DEGS) and Hub Genes in Prognosis of Advanced Non small Cell Lung Cancer (NSCLC) the Evidence from Bioinformatic Analysis" @default.
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