Identification of Key miRNAs in the Treatment of Dabrafenib-Resistant Melanoma.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:33880366", "kind": "science-record", "revision": 7, "content_hash": "sha256:282a0ff317036e76a145d282ebf5a2f269386b17da651a2b1c26964dfbea83d6", "created_at": "2026-11-01T15:41:33Z", "updated_at": "2026-11-01T22:03:36Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification of Key miRNAs in the Treatment of Dabrafenib-Resistant Melanoma.", "doi": "10.1155/2021/5524486", "pmid": "33880366", "authors": ["Guangyu Gao", "Zhen Yao", "Jiaofeng Shen", "Yulong Liu"], "journal": "BioMed research international", "year": 2021, "abstract": "Dabrafenib resistance is a significant problem in melanoma, and its underlying molecular mechanism is still unclear. The purpose of this study is to research the molecular mechanism of drug resistance of dabrafenib and to explore the key genes and pathways that mediate drug resistance in melanoma. GSE117666 was downloaded from the Gene Expression Omnibus (GEO) database and 492 melanoma statistics were also downloaded from The Cancer Genome Atlas (TCGA) database. Besides, differentially expressed miRNAs (DEMs) were identified by taking advantage of the R software and GEO2R. The Database for Annotation, Visualization, and Integrated Discovery (DAVID) and FunRich was used to perform Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis to identify potential pathways and functional annotations linked with melanoma chemoresistance. 9 DEMs and 872 mRNAs were selected after filtering. Then, target genes were uploaded to Metascape to construct protein-protein interaction (PPI) network. Also, 6 hub mRNAs were screened after performing the PPI network. Furthermore, a total of 4 out of 9 miRNAs had an obvious association with the survival rate (P < 0.05) and showed a good power of risk prediction model of over survival. The present research may provide a deeper understanding of regulatory genes of dabrafenib resistance in melanoma.", "claims": [{"id": "claim-method", "statement": "The Kaplan-Meier Plotter (http://www.kmplot.com/) is capable to assess the effect of 54k genes (mRNA, miRNA, protein) on survival in 21 cancer types including breast (n = 6,234), ovarian (n = 2,190), lung (n = 3,452), and gastric (n = 1,440) cancer. Sources for the databases include GEO, EGA, and TCGA. The primary purpose of the tool is a meta-analysis-based discovery and validation of survival biomarkers. [20]. Each miRNA that was selected would then be entered into the online tool to evaluate the survival of patients with melanoma.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33880366", "locator": "sections[9] \"2.7. 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