Document Details

Document Type : Thesis 
Document Title :
IDENTIFICATION AND CONFIRMATION OF POTENTIAL KEY GENES IN BREAST CANCER BASED ON INTEGRATIVE BIOINFORMATICS
تعريف وتأكيد جينات مفتاحية محتملة في سرطان الثدي باستخدام المعلوماتية الحيوية التكاملية
 
Subject : Faculty of Science 
Document Language : Arabic 
Abstract : Objectives: The molecular mechanism of tumorigenesis remains to be fully understood in breast cancer. Finding genes linked to breast cancer development and prognosis as well as illuminating the underlying molecular mechanisms are urgently needed. In the current study, we used bioinformatic analysis of public datasets to discover potential pathogenic and prognostic differentially expressed genes (DEGs) in the third grade of breast cancer. Methodology: Three datasets (GSE29431, GSE42568, and GSE61304) from Gene Expression Omnibus (GEO) were used to perform bioinformatic analysis. DEGs were identified using the LIMMA package of R. The Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were conducted through ShinyGo and David Tools. Visualized by GraphPad prism. Results and Recommendations: Based on adjusted P value <0.05 and FC > 2 and < -2, a total of 41 up-regulated and 75 down-regulated DEGs were found. Among the up-regulated genes, 12 genes were involved in the regulation of the mitotic cell cycle. Additionally, the hub genes DLGAP 5, ZWINT, ANLN, CENPF, NUSAP1, and CDK1 were chosen On what basis? These results revealed that regulating the mitotic cell cycle could be a potential pathway accounting for the progression of breast cancer. New potential biomarkers like DLGAP 5, ZWINT, ANLN, CENPF, NUSAP1, and CDK1 could be potential study targets to assess the possibility of using them as prognostic biomarkers in breast cancer. the future Work would be on the downregulated genes. Keywords: breast cancer, GEO, differentially expressed genes, bioinformatics, biomarker. 
Supervisor : Dr. Salman B. Ibrahim Hosawi 
Thesis Type : Master Thesis 
Publishing Year : 1445 AH
2023 AD 
Co-Supervisor : Dr. Rami Muath Mosaoa 
Added Date : Wednesday, December 27, 2023 

Researchers

Researcher Name (Arabic)Researcher Name (English)Researcher TypeDr GradeEmail
محمد عبدالرحمن الساعديAlsaedi, Mohammed AbdulrahmanResearcherMaster 

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 49619.pdf pdf 

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