Evidence map›Paper›PMID 39838683›Full record

ArticleCurrent medicinal chemistry2025

Identification of Key Genes and Pathways in Lenvatinib-resistant Hepatocellular Carcinoma using Bioinformatic Analysis and Experimental Validation.

Ming Yang, ZhaoYue Wang, Riga Su, Dongbing Li, Jun Zhou

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Article in Current medicinal chemistry, 2025. 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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5 · Who and what money

Authors and funding

5 authors.

Ming YangHepato-Pancreato-Biliary Center, School of Clinical Medicine, Beijing Tsinghua Changgung Hospital, Tsinghua University, Beijing, 102218, China.ORCID 0000-0001-5765-3844
ZhaoYue WangHepato-Pancreato-Biliary Center, School of Clinical Medicine, Beijing Tsinghua Changgung Hospital, Tsinghua University, Beijing, 102218, China.ORCID 0000-0002-7989-7628
Riga SuHepato-Pancreato-Biliary Center, School of Clinical Medicine, Beijing Tsinghua Changgung Hospital, Tsinghua University, Beijing, 102218, China.ORCID 0000-0003-0083-8869
Dongbing LiScientific Research Center, Beijing ChosenMed Clinical Laboratory Co., Ltd., Beijing, 100176, China.ORCID 0000-0002-5227-9643
Jun ZhouKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Gastrointestinal Oncology, Peking University Cancer Hospital and Institute, Beijing, 100142, China.ORCID 0000-0002-6059-6251

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundResistance to lenvatinib poses a serious threat to the therapy of patients with Hepatocellular Carcinoma (HCC). The mechanism by which HCC develops resistance to lenvatinib is currently unknown.

objectiveThe aim of this study was to identify key genes and pathways involved in lenvatinib resistance in HCC using bioinformatic analysis and experimental validation.

methodsDifferentially expressed genes (DEGs) were identified from the GSE186191 gene expression profile, comparing HCC cell lines with lenvatinib-resistant HCC cell lines. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses were then carried out using DAVID. A protein-protein interaction network was constructed to visualize DEGs and identify hub genes. The expression and prognostic significance of these hub genes were further examined. Additionally, genomic enrichment analysis (GSEA) was utilized to investigate the potential functions of key genes. Following this, the presence of AHSG was validated in both the original Huh7 cells and the lenvatinib-resistant Huh7 (Huh7LR) cells resistant to lenvatinib through the utilization of quantitative real-time PCR (qRT-PCR).

resultsA total of 232 DEGs were identified between HCC cell lines and those that are resistant to lenvatinib. These DEGs were significantly associated with arrhythmogenic right ventricular cardiomyopathy, hypertrophic cardiomyopathy, dilated cardiomyopathy, and mucin-type O-glycan biosynthesis. Three hub genes, including AHSG, C6, and ORM1, were identified. The low expression of AHSG showed a poorer prognosis in HCC. GSEA demonstrated a significant correlation between low AHSG expression and pathways involving fatty acid metabolism, ribosome function, glycine, serine, and threonine metabolism, peroxisome activity, and bile acid biosynthesis. The expression of AHSG was notably reduced in Huh7LR cells (p = 0.006) compared to Huh7 cells.

conclusionDiminished AHSG expression is strongly associated with lenvatinib resistance in HCC, suggesting that it may have implications for developing effective strategies to overcome this resistance.

Indexed as

Antineoplastic AgentsCarcinoma, HepatocellularComputational BiologyDrug Resistance, NeoplasmLiver NeoplasmsPhenylurea CompoundsQuinolinesCell Line, TumorGene Expression Regulation, NeoplasticHumansProtein Interaction MapsAntineoplastic AgentslenvatinibPhenylurea CompoundsQuinolinesAHSGdifferential expression geneGSEA.Hepatocellular carcinomalenvatinibprognosisresistance

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PMID39838683

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