Evidence map›Paper›PMID 41843384›Full record

ArticleDaru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences2026

Network analysis-guided drug repurposing: IGF1R as a novel melanoma target and therapeutic potential of dapagliflozin.

Fatemeh Hajipour, Melika Alesheikh, Maliheh Safavi, Maryam Safari, Omid Tavakkol Hamedani, Loghman Firoozpour

Abstract read
In one paragraph

Article in Daru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

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No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Fatemeh HajipourTehran University of Medical Sciences, Tehran, Islamic Republic of Iran.
Melika AlesheikhTehran University of Medical Sciences, Tehran, Islamic Republic of Iran.
Maliheh SafaviIranian Research Organization for Science and Technology, Tehran, Islamic Republic of Iran.
Maryam SafariIranian Research Organization for Science and Technology, Tehran, Islamic Republic of Iran.
Omid Tavakkol HamedaniTehran University of Medical Sciences, Tehran, Islamic Republic of Iran.
Loghman FiroozpourTehran University of Medical Sciences, Tehran, Islamic Republic of Iran. firoozpour@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSkin Cutaneous Melanoma (SKCM) is an aggressive malignancy requiring novel therapeutic targets.

objectivesThis study aimed to employ bioinformatics to identify key genes in melanoma pathogenesis and evaluate potential drug candidates through a repurposing strategy.

methodsAn integrated bioinformatic analysis of Gene Expression Omnibus (GEO) datasets were used to identify differentially expressed genes (DEGs). Functional enrichment and protein-protein interaction (PPI) network analyses highlighted hub genes, leading to the selection of Insulin-like Growth Factor 1 Receptor (IGF1R) as the therapeutic target. Virtual screening (DrugBank) identified Dapagliflozin and Rivaroxaban, which were further evaluated by molecular dynamics (MD) simulations, binding free energy (MM/GBSA) calculations, and in vitro cytotoxicity using the MTT assay on B16F10 melanoma cells.

resultsA total of 5,001 DEGs (1,030 upregulated) were identified. PPI network analysis highlighted IGF1R as a critical hub gene. MD simulations indicated Dapagliflozin formed a more stable complex with IGF1R than Rivaroxaban. MM/GBSA predicted comparable, favorable binding free energies. The MTT assay demonstrated significantly higher cytotoxic activity for Dapagliflozin (IC50 = 45 µM) against B16F10 cells compared to Rivaroxaban (IC50 > 184 µM) after 48 h.

conclusionsThis study successfully utilized a bioinformatics pipeline to identify IGF1R as a key therapeutic target in melanoma. Computational analyses predicted favorable binding for Dapagliflozin to IGF1R, and subsequent in vitro experiments confirmed its moderate cytotoxic effects on melanoma cells, supporting its further investigation as a potential repurposed therapeutic agent for melanoma.

Indexed as

Antineoplastic AgentsBenzhydryl CompoundsGlucosidesMelanomaMelanoma, ExperimentalReceptor, IGF Type 1Skin NeoplasmsAnimalsCell Line, TumorComputational BiologyCutaneous Malignant MelanomaDrug RepositioningHumansMiceMolecular Docking SimulationMolecular Dynamics SimulationAntineoplastic AgentsBenzhydryl CompoundsdapagliflozinGlucosidesIGF1R protein, humanReceptor, IGF Type 1BioinformaticsDapagliflozinDrug repurposingIGF1RMelanomaMolecular dockingMolecular dynamics

Identifiers

PMID41843384
PMCPMC12996500

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.