Identification of early-stage lung adenocarcinomacandidate genes based on Micro array analysis

Introduction: Lung cancer is the third most common cancerand second deadliest cancer in the world according to last year’sstatistics. Non-small cell lung cancer (NSCLC) is the main typeof this cancer and Lung adenocarcinoma (LUAD) is the mostcommon subtype of NSCLC with a frequency of ۴۰%. So, identifyingcritical genes in this subtype can play an important rolein lung cancer management.Materials and Methods: We obtained expression datasetsfrom the Gene Expression Omnibus database (GSE۱۱۵۰۰۲,GSE۱۱۶۹۵۹, and GSE۳۳۵۳۲). We selected stage I LUAD samplesand paired normal samples for analysis. Next, we analyzedthese data sets using R script. After that, we determined up-regulated(adj.P.Value<۰.۰۵ and log۲FC>۲) and down-regulated(adj.P.Value<۰.۰۵ and log۲FC<-۲) genes in each data set. then,we integrated our results and revealed common up-regulatedand down-regulated genes among these data sets. Finally, weperformed functional enrichment analysis on the identifiedgenes to gain insights into their biological significance.Results: Our analysis showed that we have ۳۳ common upregulatedgenes and ۱۲۰ common down-regulated genes amongthese ۳ datasets. Among these genes, we found that COMP, COL۱A۱,and SPP۱ are up-regulated genes, and COL۶A۶, CD۳۶,and NPNT are down-regulated genes in the ECM-receptor interactionpathway. Dysregulation of this pathway can activateseveral vital pathways, such as PI۳K-Akt signaling pathwayand cytokine-cytokine receptor interaction pathway. They arecrucial pathways in cancer progression and metastasis Conclusion: Based on the analysis and the results we obtained,several pathways and genes may play important roles in theprogression of LUAD. Identifying the role of our candidategenes in LUAD may pave the way for diagnosis or treatment inthe future. Of course, these data must be confirmed in experimentalstudies