FN۱, COMP, and CXCL۵, serve as diagnostic biomarkers for pancreatic cancer, as revealed through analysis of microarray data

Introduction Pancreatic cancer (PC) is a malignancy with few warning signs before thedisease reaches its final stages. Currently, the early diagnosis of PC is very difficult because mostpatients have non-specific symptoms, which leads to delaying the correct diagnosis. In this study, anattempt was made to discover biomarkers based on differentially expressed genes (DEGs) that can actas a driving factor in tumorigenesis .Methods At the beginning of the study, datasets related to Microarray data extracted by using the GEOdatabase. In the following, quality control was checked with PCA. Subsequently, the LIMMA packagewas utilized to identified DEGs. Furthermore, the TCGA RNA-seq results were employed to validateour findings. Then to identify biological processes and pathways in which genes with differentialexpression are involved. GeneCards and Reactome databases were used. Lastly, the relationshipbetween the DEGs and survival time of the disease was assessed using the Kaplan-Meier plotter .Results: In the studied data set, a number of genes have significant differential expression (adj.P.val<۰.۰۵, Log۲FC>۳). Among them, three genes FN۱, COMP, CXCL۵, had increased expression. Then,using the information available in GeneCards and Reactome databases, these genes had regulatorycontrol over vital pathways, including PI۳K-Akt-mTOR, cellular immune pathways. And thedifferential rate has been confirmed by different graphs.Conclusion: This study led to the identification of three genes with increased expression in pancreaticcancer and potentially capable of early detection of this disease.

کلیدواژه ها:

Pancreatic cancer ، biomarker ، microarray