Targeting metabolic reprogramming in hepatocellular carcinoma to overcome therapeutic resistance: A comprehensive review - 05/01/24
, Ziye Chen e, Jingjing Zheng c, Yunfang Wang b, c, d, e, f, ⁎ 
, Jiahong Dong a, b, c, d, f, ⁎ 
Abstract |
Hepatocellular carcinoma (HCC) poses a heavy burden on human health with high morbidity and mortality rates. Systematic therapy is crucial for advanced and mid-term HCC, but faces a significant challenge from therapeutic resistance, weakening drug effectiveness. Metabolic reprogramming has gained attention as a key contributor to therapeutic resistance. Cells change their metabolism to meet energy demands, adapt to growth needs, or resist environmental pressures. Understanding key enzyme expression patterns and metabolic pathway interactions is vital to comprehend HCC occurrence, development, and treatment resistance. Exploring metabolic enzyme reprogramming and pathways is essential to identify breakthrough points for HCC treatment. Targeting metabolic enzymes with inhibitors is key to addressing these points. Inhibitors, combined with systemic therapeutic drugs, can alleviate resistance, prolong overall survival for advanced HCC, and offer mid-term HCC patients a chance for radical resection. Advances in metabolic research methods, from genomics to metabolomics and cells to organoids, help build the HCC metabolic reprogramming network. Recent progress in biomaterials and nanotechnology impacts drug targeting and effectiveness, providing new solutions for systemic therapeutic drug resistance. This review focuses on metabolic enzyme changes, pathway interactions, enzyme inhibitors, research methods, and drug delivery targeting metabolic reprogramming, offering valuable references for metabolic approaches to HCC treatment.
Le texte complet de cet article est disponible en PDF.Graphical Abstract |
Highlights |
• | Alterations of enzymes in HCC metabolic reprogramming networks have important implications for therapeutic resistance. |
• | Targeting enzymes in HCC metabolic reprogramming networks could eliminate therapeutic resistance. |
• | Crosstalk between pathways exists in HCC metabolic reprogramming networks. |
• | The exploration of HCC metabolic reprogramming networks relies on comprehensive detection assays. |
• | Drug delivery systems help eliminate therapeutic resistance by interfering with metabolic reprogramming networks. |
Abbreviations : HCC, ATP, RFA, TACE, ICI, HMGCR, SQS, FASN, PFKFB3, PFK1, PHGDH, SSP, TKI, OXPHOS, PKM2, DDSs, PPP, GLUT, SGLT2, TZD, SLC5A, PC, CANA, ERK, TOFO, NASH, HK, G-6-P, HKDC1, GCK, LDH, ncRNAs, 2-DG, HIF-1α, Gen, GPI, PHI, F-6-P, NADPH, STAT3, AMF, F-1,6-BP, F-2,6-BP, 3PO, ALDOA, DHAP, G-3-P, CRC, NSCLC, CDX, TPI1, GC, EVs, GAPDH, 3-BrPA, PGK1, 3-PG, PGAM1, ENO-1, PEP, BC, RBC, RCC, PRMT3, G6PD, EMT, 6-ANA, ROS, PGLS, 6PGD, RPIA, Ru-5-P, R-5-P, TKT, Xul-5-P, RPE, FAT, EGFR, CD36, FABP, FATP, LCFAs, TG, SSO, VEGFR, NRF2, NRF2, TXNRD1, UDCA, DCA, LPL, VLDL, FFAs, HSPG, LDL, ZHX2, CPT1, NAFLD, ANGPTL3, P407, ACLY, IKK-β, FCD, ACC1, FAO, DNL, OC, SCD1, MUFA, PDX, SREBP-1, bHLH-ZIP, CHOLS, SIRT, GSK3, FBXW7, SCAP, ACS, ACSS, ACSM, ACSL, ACSVL, ACSBG, PPAR-γ, 5-Fu, CPT, CACT, Pex, CAD, SCAD, MCAD, LCAD, VLCAD, SLC1A5, ASCT2, OS, RFS, GLS, AFP, TNM, α-KG, CDK, GLUD1, GOT1, TCA, CRISPR/Cas, TAT-NMP, AMPK, PDK1, SIAH2, α-KGDH, SRS, MSI, MALDI-MSI, DESI-MSI, LAESI-MSI, DSI-MSI, MVI, HCA, NMR, MS, GC-MS, LC-MS, CE-MS, ARI, GTPBP4, MRI, DNP, ECAR, OCR, DLX, sgRNA, miRNA, IGF1R, RV-c-SLNs, 2DG-PLGA-NPs, PR-CNG-ER, LSECs, CXCL16, anti-PD-L1, MMSNs, MMSNs@SO, Man-NIT, CDT, DHAA, FDA, ICC
Keywords : Targeting metabolic reprogramming, Hepatocellular carcinoma, Therapeutic resistance, Metabolic detection methods, Drug delivery systems
Plan
Vol 170
Article 116021- janvier 2024 Retour au numéroBienvenue sur EM-consulte, la référence des professionnels de santé.
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