Fang Chunyun, Han Wenling, Tang Chen, Shen Junjing, Ni Bin
Department of Obstetrics and Gynecology, First Affiliated Hospital of Gannan Medical University, Ganzhou City, 341000, Jiangxi Province, China.
Department of Pharmacy, First Affiliated Hospital of Gannan Medical University, No. 128, Jinling Road, Zhanggong District, Ganzhou City, 341000, Jiangxi Province, China.
Naunyn Schmiedebergs Arch Pharmacol. 2025 Mar;398(3):2665-2675. doi: 10.1007/s00210-024-03421-z. Epub 2024 Sep 9.
Ovarian cancer (OV) is the most malignant gynecological tumor in women, with poor prognosis and high mortality rate. This study aims to identify hub genes in OV and explore the role of Receptor transporter 4 (RTP4) in OV progression. Common differentially expressed genes (DEGs) were screened from two microarray datasets. GO and KEGG enrichment analysis were performed. Protein-protein interaction (PPI) network was constructed by STING. Kaplan-Meier plotter was used to analyze prognosis. The effect of target gene on immune infiltration was analyzed by TIMER. The proliferation, migration, and invasion of OV cells were measured by CCK-8, wound healing assay, and trans-well assay, respectively. A total of 293 common DEGs were selected from GSE12470 and GSE16709 datasets. Hub genes, EPCAM, KIFC1, RTP4, TAGLN, and ZFP36 were selected by PPI network. Kaplan-Meier plotter demonstrated that high expression of RTP4 was related to low overall survival in OV patients. The TIMER result showed that high expression of RTP4 promoted immune infiltration of CD8 T cells, B cells, neutrophils, and dendritic cells in OV. Moreover, silencing RTP4 significantly inhibited the proliferation, migration, and invasion of OV cells. RTP4 was associated with the poor prognosis in OV. In summary, silencing RTP4 inhibited the proliferation, migration, and invasion of OV cells, having the potential to be a novel therapeutic target for OV.
卵巢癌（OV）是女性中最具恶性的妇科肿瘤，预后差且死亡率高。本研究旨在鉴定OV中的关键基因，并探讨受体转运蛋白4（RTP4）在OV进展中的作用。从两个基因芯片数据集中筛选常见的差异表达基因（DEG）。进行基因本体（GO）和京都基因与基因组百科全书（KEGG）富集分析。通过STRING构建蛋白质-蛋白质相互作用（PPI）网络。使用Kaplan-Meier绘图工具分析预后。通过TIMER分析靶基因对免疫浸润的影响。分别通过CCK-8、伤口愈合试验和Transwell试验检测OV细胞的增殖、迁移和侵袭能力。从GSE12470和GSE16709数据集中共筛选出293个常见DEG。通过PPI网络选择关键基因EPCAM、KIFC1、RTP4、TAGLN和ZFP36。Kaplan-Meier绘图工具表明，RTP4的高表达与OV患者的低总生存率相关。TIMER结果显示，RTP4的高表达促进了OV中CD8 T细胞、B细胞、中性粒细胞和树突状细胞的免疫浸润。此外，沉默RTP4可显著抑制OV细胞的增殖、迁移和侵袭。RTP4与OV的不良预后相关。总之，沉默RTP4可抑制OV细胞的增殖、迁移和侵袭，有可能成为OV的新型治疗靶点。
