Investigation of Common Pathways and Genes in Glioma

Objective: Cancer is a disease in which some of the body’s cells grow uncontrollably and spread to other body parts. Glioma is one of the most common primary brain tumors and originates from the glial cells. Brain and other nervous system cancer is the ۱۰th leading cause of death for men and women. Based on the last edition of the WHO for glioma grades, the diagnosis of these patients depends on biomarkers. Because of this, we prefer to compare a suitable GEO (gse۱۴۷۳۵۲) and CGGA (CGGA-mRNASeq-۶۹۳) to figure out beneficial common genes and pathways for prognosis and early diagnosis. Materials and Methods: This gse has ۸۵ high-grade and ۱۸ low-grade, moreover, the study type of this gse is high throughput sequencing. CGGA data has ۲۴۹ high-grade and ۴۴۳ low-grade, moreover, the study type is mRNA sequencing. In this study, we focus on common biomarkers and analysis of transcriptomic data. First, we started with GEO and CGGA, we searched for gse and CGGA data. Then, we used the ClusterProfiler package in R programming to analyze Gene Set Enrichment (GSE). Third, we did some of the codes in R to identify common Pathways and Genes between the two datasets. Result: We identified genes and effective pathways. We found ۲۱۶ common pathways such as IgG immunoglobulin complex, transport, and synaptic signaling. Moreover, we realized ۱۴ genes for instance: IGHG۳, IGHG۲, CHRND, DKK۱, WT۱, IGKV۴-۱, IGHA۱, PLSCR۲, NPAS۴, TRH, SAA۱, MIR۵۴۸P, ANKK۱, and LIPN. Conclusion: The study's outcomes emphasize the intricate connections between the immune system and cancer development, suggesting potential areas for further research and treatment methods. Additional investigations and advancements in single cell sequencing techniques are expected to shed new light on the underlying mechanisms of glioma development and pave the way for more effective diagnostic and therapeutic approaches.

کلیدواژه ها:

Glioma ، GEO ، Biomarker ، Gene Set Enrichment