Identification of invasion-metastasis associated MiRNAs in gallbladder cancer by bioinformatics and experimental validation

• Published in: Journal of translational medicine Vol. 20; no. 1; p. 188
• Main Authors: Cao, Jiasheng, Shao, Huijiang, Hu, Jiahao, Jin, Renan, Feng, Anyun, Zhang, Bin, Li, Shijie, Chen, Tianen, Jeungpanich, Sarun, Topatana, Win, Tian, Yitong, Lu, Ziyi, Cai, Xiujun, Chen, Mingyu
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 28.04.2022; BioMed Central; BMC
• Subjects: 1-Phosphatidylinositol 3-kinase; AKT protein; Antibodies; Bioinformatics; Cancer; Cancer invasiveness; Cancer therapies; Carcinoma in Situ; Chromosome 3; Complications and side effects; Computational Biology; Datasets; Gallbladder; Gallbladder cancer; Gallbladder Neoplasms - genetics; Gallbladder Neoplasms - pathology; Gene expression; Gene Regulatory Networks; Genetic aspects; Genetic engineering; Genomes; Health aspects; Humans; Immunotherapy; Invasion; Medical prognosis; Metastases; Metastasis; Methods; MicroRNA; MicroRNAs - genetics; MicroRNAs - metabolism; MiRNA; Oncology, Experimental; Phosphatidylinositol 3-Kinases - genetics; Software; Survival analysis; TOR protein; Tumor markers; Tumors; Wound healing; China; United States > US; Metastasis; Bioinformatics; Gallbladder cancer; Invasion; MiRNA
• ISSN: 1479-5876; 1479-5876
• DOI: 10.1186/s12967-022-03394-8

Recent studies exploring the roles of invasion-metastasis associated miRNAs in gallbladder cancer (GBC) are limited. In the study, we aimed to identify the invasion-metastasis associated miRNAs in GBC by bioinformatics and experimental validation. MiRNAs of different expression were identified by comparing GBC tumor samples with different survival from Gene Expression Omnibus database. MiRTarBase was used for identifying the potential target genes of miRNAs. Then, we performed Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. And miRNA-gene and protein-protein interaction (PPI) network were constructed for hub genes evaluation. We further explored and compared miR-642a-3p and miR-145-5p expression in both The Cancer Genome Atlas database and our hospital data. Finally, quantitative real-time PCR, wound healing assay, and Transwell assay were conducted to validate the invasion-metastasis associated miRNAs in GBC. In GSE104165 database, 25 up-regulated and 97 down-regulated miRNAs were detected with significantly different expression in GBC tumor samples. Then, 477 potential target genes were identified from the 2 most up-regulated miRNAs (miR-4430 and miR-642a-3p) and 268 genes from the 2 most down-regulated miRNAs (miR-451a and miR-145-5p). After GO and KEGG analysis, mTOR and PI3K-Akt signaling pathways were found associated with the potential target genes. Based on PPI network, the top 10 highest degree hub nodes were selected for hub genes. Furthermore, the miRNA-hub gene network showed significant miR-642a-3p up-regulation and miR-145-5p down-regulation in both GBC tissues and cell lines. In the experimental validation, miR-145-5p up-regulation and miR-642a-3p down-regulation were confirmed to suppress GBC invasion and metastasis. MiR-642a-3p and miR-145-5p were identified as invasion-metastasis associated miRNAs via bioinformatics and experimental validation, and both up-regulation of miR-642a-3p and down-regulation of miR-145-5p would be served as novel treatment options for GBC in the future.