| خلاصه مقاله | Abstract: Introduction Pancreatic cancer (PC) is a malignancy with few warning signs before the
disease reaches its final stages. Currently, the early diagnosis of PC is very difficult because most
patients have non-specific symptoms, which leads to delaying the correct diagnosis. In this study, an
attempt was made to discover biomarkers based on differentially expressed genes (DEGs) that can act
as a driving factor in tumorigenesis.
Methods At the beginning of the study, datasets related to Microarray data extracted by using the GEO
database. In the following, quality control was checked with PCA. Subsequently, the LIMMA package
was utilized to identified DEGs. Furthermore, the TCGA RNA-seq results were employed to validate
our findings. Then to identify biological processes and pathways in which genes with differential
expression are involved. GeneCards and Reactome databases were used. Lastly, the relationship
between 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
<0.05, Log2FC>3). Among them, three genes FN1, COMP, CXCL5, had increased expression. Then,
using the information available in GeneCards and Reactome databases, these genes had regulatory
control over vital pathways, including PI3K-Akt-mTOR, cellular immune pathways. And the
differential rate has been confirmed by different graphs.
Conclusion: This study led to the identification of three genes with increased expression in pancreatic
cancer and potentially capable of early detection of this disease. |