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Glabridin suppresses malignant phenotypes in esophageal cancer cells: Mechanisms revealed by network pharmacology, transcriptomics, and experimental validation
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Yong CAO1, 2, Li TANG1, 2, Xue-qin SONG1, 2, Yan LI1, 2, Fang HUANG1, 2, Ming-ying LI1, 2, Zhi-qin DING3, Ruo-fei LI3, Xue-yan HE3, Xiao-yan WANG1, 2, *
Acta Pharmaceutica Sinica | 2026, 61(9) : 3413 - 3423
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Acta Pharmaceutica Sinica | 2026, 61(9): 3413-3423
• Original Articles •
Glabridin suppresses malignant phenotypes in esophageal cancer cells: Mechanisms revealed by network pharmacology, transcriptomics, and experimental validation
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Yong CAO1, 2, Li TANG1, 2, Xue-qin SONG1, 2, Yan LI1, 2, Fang HUANG1, 2, Ming-ying LI1, 2, Zhi-qin DING3, Ruo-fei LI3, Xue-yan HE3, Xiao-yan WANG1, 2, *
Affiliations
  • 1Experimental Medicine Center, the Affiliated Hospital of Southwest Medical University, Luzhou 646000, China
  • 2Luzhou Key Laboratory of Molecular Cancer, Luzhou 646000, China
  • 3Department of Clinical Medicine, Southwest Medical University, Luzhou 646000, China
Published: 2026-09-12 doi: 10.16438/j.0513-4870.2026-0059
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This study investigated the anti-malignant effects and molecular mechanisms of glabridin (GLA), a licorice-derived flavonoid, in esophageal cancer. The effects of glabridin on the esophageal cancer cell lines KYSE150 and TE1 were evaluated using CCK-8 assays, colony formation assays, wound-healing assays, and flow cytometry. A systematic analysis was further conducted by integrating RNA sequencing, multi-platform pharmacological prediction, protein-protein interaction (PPI) network analysis, Western blot (WB) validation, molecular docking, cellular thermal shift assay (CETSA) and database mining. Glabridin concentration dependently suppressed cell viability, with 48-hour IC50 values of 37.85 and 20.00 μmol·L-1 in KYSE150 and TE1 cells, respectively. Notably, 5 μmol·L-1 inhibited colony formation, while 20 μmol·L-1 induced G0/G1 arrest (59.99% and 56.68% of cells) and reduced 24-hour migration rates to 30% and 25% (P < 0.000 1). Transcriptomics identified 2 104 differentially expressed genes enriched in ferroptosis, autophagy, and cell cycle pathways. Integrated analysis filtered 66 core targets. PPI network topology revealed cyclin A2 (CCNA2), heat shock protein 90 alpha family class A member 1 (HSP90AA1), cyclin-dependent kinase 2 (CDK2), and mechanistic target of rapamycin kinase (MTOR) as hub genes, with CCNA2 and HSP90AA1 synergizing with obesity to affect prognosis in TCGA esophageal cancer cohorts. WB confirmed downregulation of CCNA2, CDK2, cyclin-dependent kinase 1 (CDK1), snail family transcriptional repressor 2 (SNAI2), and phosphorylated protein kinase B (p-AKT), whereas HSP90AA1 protein levels remained unchanged. Molecular docking demonstrated stable binding of glabridin to the CCNA2 active pocket via hydrogen bonding, π-alkyl, and π-anion interactions. CETSA demonstrated that glabridin enhanced CCNA2 thermal stability, and the proteasome inhibitor MG132 blocked glabridin-induced CCNA2 degradation. DepMap and LinkedOmics Database analyses revealed that CCNA2 promotes esophageal cancer cell proliferation and is associated with cell cycle progression. Collectively, glabridin suppresses esophageal cancer cell proliferation and migration, potentially through modulation of the cell cycle and epithelial-mesenchymal transition (EMT) processes, and CCNA2 may represent a promising therapeutic target for esophageal cancer.

esophageal cancer  /  glabridin  /  transcriptomics  /  molecular docking  /  cyclin A2
曹勇, 唐利, 宋雪琴, 李燕, 黄芳, 李明英, 丁志琴, 李若菲, 何雪妍, 王晓燕. 基于网络药理学、转录组测序与实验验证探讨光甘草定抗食管癌细胞恶性表型及其作用机制. 药学学报, 2026 , 61 (9) : 3413 -3423 . DOI: 10.16438/j.0513-4870.2026-0059
Yong CAO, Li TANG, Xue-qin SONG, Yan LI, Fang HUANG, Ming-ying LI, Zhi-qin DING, Ruo-fei LI, Xue-yan HE, Xiao-yan WANG. Glabridin suppresses malignant phenotypes in esophageal cancer cells: Mechanisms revealed by network pharmacology, transcriptomics, and experimental validation[J]. Acta Pharmaceutica Sinica, 2026 , 61 (9) : 3413 -3423 . DOI: 10.16438/j.0513-4870.2026-0059
Year 2026 volume 61 Issue 9
112
49
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Article Info
doi: 10.16438/j.0513-4870.2026-0059
  • Receive Date:2026-01-14
  • Online Date:2026-10-22
  • Published:2026-09-12
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History
  • Received:2026-01-14
  • Revised:2026-03-20
Affiliations
    1Experimental Medicine Center, the Affiliated Hospital of Southwest Medical University, Luzhou 646000, China
    2Luzhou Key Laboratory of Molecular Cancer, Luzhou 646000, China
    3Department of Clinical Medicine, Southwest Medical University, Luzhou 646000, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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