Wang Jing, Wu Yanan
Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Tarim University, Alaer, Xinjiang, China.
Heliyon. 2024 Jul 19;10(15):e34978. doi: 10.1016/j.heliyon.2024.e34978. eCollection 2024 Aug 15.
Ovarian cancer represents a major public health concern worldwide. High-grade serous ovarian cancer (HGSOC) is a primary epithelial ovarian cancer. Cisplatin resistance poses a substantial obstacle in the management of HGSOC, leading to unfavourable patient outcomes. The primary objective of this study was to investigate the mechanisms underlying cisplatin resistance in patients with HGSOC. TCGA data, GSE65819 dataset, and multiMiR package were used to identify 35 differentially expressed miRNAs (DE-miRNAs). Differentially expressed mRNAs (DE-mRNAs) are indicated using TCGA data. Further, weighted gene co-expression network analysis (WGCNA) was used to determine the correlation coefficients between the DE-mRNAs and DE-miRNAs. A network of miR-486-3p and TMIGD2 was constructed. Molecular biology experiments also indicated that low miR-486-3p or high TMIGD2 expression significantly increased the migratory rate and cisplatin resistance of both SK-OV3 and A2780 cells. In contrast, overexpression of miR-486-3p or downregulation of TMIGD2 decreased the migration rate and enhanced the sensitivity to cisplatin treatment, which provides insights for the development of novel therapeutic approaches. Moreover, RNA-binding protein immunoprecipitation experiment was used to determine the relationship between miR-486-3p and TMIGD2. Cell rescue assays were performed to further investigate these regulatory relationships. In TCGA and GSE65819 datasets, Benjamini and Hochberg false discovery rates (FDR) were selected for -values. In the molecular biology experiments, one-way analysis of variance was employed to compare different groups, supplemented by Bonferroni post-hoc testing. Statistical significance was set at < 0.05.
卵巢癌是全球主要的公共卫生问题。高级别浆液性卵巢癌(HGSOC)是原发性上皮性卵巢癌。顺铂耐药是HGSOC治疗中的一个重大障碍,导致患者预后不良。本研究的主要目的是探讨HGSOC患者顺铂耐药的潜在机制。利用TCGA数据、GSE65819数据集和multiMiR软件包鉴定出35个差异表达的miRNA(DE-miRNA)。使用TCGA数据来表示差异表达的mRNA(DE-mRNA)。此外,采用加权基因共表达网络分析(WGCNA)来确定DE-mRNA与DE-miRNA之间的相关系数。构建了miR-486-3p与TMIGD2的网络。分子生物学实验还表明,低水平的miR-486-3p或高水平的TMIGD2表达显著提高了SK-OV3和A2780细胞的迁移率和顺铂耐药性。相反,miR-486-3p的过表达或TMIGD2的下调降低了迁移率并增强了对顺铂治疗的敏感性,这为开发新的治疗方法提供了思路。此外,采用RNA结合蛋白免疫沉淀实验来确定miR-486-3p与TMIGD2之间的关系。进行细胞拯救实验以进一步研究这些调控关系。在TCGA和GSE65819数据集中,选择Benjamini和Hochberg错误发现率(FDR)作为P值。在分子生物学实验中,采用单因素方差分析来比较不同组,并辅以Bonferroni事后检验。设定统计学显著性为P<0.05。