Xu Ming, Tang Jie, Sun Qiong, Meng Jing, Chen Guoyu, Chang Yunli, Yao Yao, Ji Jieru, Luo Hao, Chen Lingling, Lu Minxue, Shi Weiwei
Department of Gastroenterology, Shanghai Pudong New Area People's Hospital, Shanghai, China.
Department of Oncology, The First Medical Center, Chinese PLA General Hospital, Beijing, China.
Arch Med Sci. 2024 Apr 15;20(5):1655-1671. doi: 10.5114/aoms/171956. eCollection 2024.
We undertook an in-depth investigation of the data pertaining to pancreatic adenocarcinoma (PAAD) to identify potential targets for the development of precision therapies.
The construction of a protein-protein interaction (PPI) network was based on overlapping differentially expressed genes (DEGs) identified in the GSE16515, GSE32676, and GSE125158 datasets. A subsequent bioinformatic analysis was performed on the interconnected genes within the PPI network, leading to the identification of the central gene, CENPN. experimentation such as CCK8 and Transwell experiments was employed to elucidate the impact of CENPN expression patterns on PAAD cell proliferation, migration, and invasion. Furthermore, the investigation revealed through comprehensive enrichment analysis that the pivotal signaling pathway associated with CENPN is the p53 signaling pathway.
Following a comprehensive bioinformatic analysis of 161 concordant differentially expressed genes (DEGs) across three microarray datasets, CENPN emerged as the central gene under investigation. Overexpression of CENPN in pancreatic adenocarcinoma (PAAD) was associated with unfavorable patient outcomes and heightened sensitivity to four PAAD therapies: gemcitabine, docetaxel, paclitaxel, and sunitinib. Reduced CENPN expression impeded PAAD cell proliferation, migration, and invasion; however, these effects were counteracted upon upregulation of CENPN expression. Additionally, CENPN interacted with MDM2, promoting PAAD progression by targeting the p53 signaling pathway.
The findings of our study substantiate that CENPN is associated with the pathogenesis of PAAD. Consequently, CENPN appears to be a promising candidate for targeted precision therapy in clinical applications.
我们对与胰腺腺癌(PAAD)相关的数据进行了深入研究,以确定精准治疗开发的潜在靶点。
基于在GSE16515、GSE32676和GSE125158数据集中鉴定出的重叠差异表达基因(DEG)构建蛋白质-蛋白质相互作用(PPI)网络。随后对PPI网络内的相互连接基因进行生物信息学分析,从而鉴定出核心基因CENPN。采用CCK8和Transwell实验等实验方法来阐明CENPN表达模式对PAAD细胞增殖、迁移和侵袭的影响。此外,通过综合富集分析发现,与CENPN相关的关键信号通路是p53信号通路。
在对三个微阵列数据集的161个一致差异表达基因(DEG)进行全面生物信息学分析后,CENPN成为研究的核心基因。胰腺腺癌(PAAD)中CENPN的过表达与患者预后不良以及对四种PAAD疗法(吉西他滨、多西他赛、紫杉醇和舒尼替尼)的敏感性增加相关。CENPN表达降低会阻碍PAAD细胞的增殖、迁移和侵袭;然而,这些作用在CENPN表达上调后会被抵消。此外,CENPN与MDM2相互作用,通过靶向p53信号通路促进PAAD进展。
我们的研究结果证实CENPN与PAAD的发病机制相关。因此,CENPN似乎是临床应用中靶向精准治疗的一个有前景的候选者。