Over Kanseri Transkriptom Verisinde Paklitaksel Direnci ile İlişkili Genlerin Araştırılması

Abstract

Ovarian cancer has the highest mortality rate among gynecological malignancies, with most patients being diagnosed at an advanced stage. Although the standard treatment consists of surgical intervention combined with platinum-taxane-based chemotherapy, the development of chemoresistance over time reduces treatment efficacy and negatively affects survival. In this thesis study, to elucidate the molecular mechanisms underlying paclitaxel resistance, differential gene expression analysis was performed by comparing paclitaxel sensitive and resistant ovarian cancer cell lines (OVCAR3, SKOV3, TOV21G). Based on the analysis of transcriptome data obtained from the Gene Expression Omnibus (GEO), 34 genes were found to be commonly differentially expressed in all three cell lines. GO, KEGG, and PPI analyses of these genes revealed that paclitaxel resistance is associated with biological processes such as immune response, lipid metabolism, angiogenesis, and extracellular matrix organization. Genes including ABCB1, IL6, CXCL8, MCAM, CMPK2, and PSMB9 were found as hub genes in the network, and some were associated with survival. These findings demonstrate that paclitaxel resistance develops through multifaceted and complex mechanisms and highlight the importance of considering these genes as potential biomarkers and therapeutic targets.