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 P-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 p < 0.05.