Abstract：Abstract: The immunotherapy targeting programmed death-1 (PD-1) has achieved remarkable success in breast cancer. However, not all patients can benefit from the antibody therapy. In order to identify the ex-pression of genes related to the PD-1 signaling pathway and their potential as prognostic markers in breast cancer, the PD-1 signaling pathway-related genes, their expression characteristics and prognostic effects were explored based on Oncomine, GTEx and The Cancer Genome Atlas (TCGA) databases. STRING data-base was used to predict the protein-protein interaction (PPI) network. The results showed that the expres-sion of genes related to the PD-1 signaling pathway exhibited significant differences in different cancers. In breast cancer, the expression level of PD-1 signaling pathway-related genes is significantly higher than that in normal tissues. Moreover, their expression has nothing to do with the stage and age of breast cancer pa-tients. When the patients were classified into high and low expression groups according to the median value of the expression levels of PD-1 and programmed death ligand-1 (PD-L1), the high expression group was found to have better overall survival rates. In addition, the prediction results of the PPI network showed that PD-1 is positively correlated with the expression of the protein tyrosine phosphatase non-receptor (PTPN) family. In summary, this study provides theoretical support for development of new PD-1 based immunotherapy.
引用本文:
陈 路, 李习平, 胡 爽, 戴周彤, 何晓宏, 王志文. 利用在线数据库分析乳腺癌中程序性死亡蛋白-1相关信号通路基因的临床意义[J]. 生命科学研究, 2021, 25(6): 548-556. CHEN Lu, LI Xi-ping, HU Shuang, DAI Zhou-tong, HE Xiao-hong, WANG Zhi-wen. Analysis of the Clinical Significance of PD-1 Gene in Breast Cancer by Using Online Database. Life Science Research, 2021, 25(6): 548-556.
