邱德生 ;張裕享Dito Anurogo2026-05-062026-05-062024-11-11https://203.71.86.71/handle/123456789/9544學位別:博士 口試委員:周文堅; 黃景泰; 邱德生; 張裕享; 黃彥華 關鍵字:CAR-T-cell antigen、chimeric antigen receptor (CAR)-T cell、differentially expressed gene (DEG)、ovarian cancer、protein-protein interaction (PPI) networkTarget antigens are crucial for developing chimeric antigen receptor (CAR)-T cells, but their application to ovarian cancer (OC) is limited. This study aimed to identify potential genes as CAR-T- cell antigen candidates for OC. A differential gene expression analysis was performed on OC samples from four datasets (GSE) obtained from the GEO database. Functional annotation, pathway analysis, protein localization, and gene expression analysis were conducted using various databases and tools. An oncogenicity analysis and network analysis were also performed. In total, 153 differentially expressed genes (DEGs) were identified in OC samples, with 60 DEGs expressing plasma membrane proteins suitable for CAR-T-cell antigens. Among them, 21 plasma membrane proteins were predicted to be differentially expressed proteins in OC, with nine proteins playing crucial roles in the network. Key genes identified in the oncogenic pathways of ovarian cancer included MUC1, CXCR4, EPCAM, RACGAP1, UBE2C, PRAME, SORT1, JUP, and CLDN3, suggesting them as recommended antigens for CAR-T-cell therapy for OC. This study sheds light on potential targets for immunotherapy in OC.系所名稱:細胞治療與再生醫學國際博士學位學程Discovery of CAR-T cells targeting antigens for ovarian cancer through a bioinformatics analysisDiscovery of CAR-T cells targeting antigens for ovarian cancer through a bioinformatics analysisthesis