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2000
Volume 28, Issue 8
  • ISSN: 1386-2073
  • E-ISSN: 1875-5402

Abstract

Objectives

This study aimed to explore the key oncogenic factor of metabolic-associated steatohepatitis (MASH) to hepatocellular carcinoma (HCC).

Methods

We utilized four differential GEO datasets (GSE164760, GSE139602, GSE197112, and GSE49541) to identify the key oncogenic factor for MASH-related HCC. The differential genes were analyzed using the GEO2R algorithm online. The GEPIA online website was used to explore the expression of selected four genes (SPP1, GNMT, CLDN11, and THBS2). The genetic alterations in genes were estimated by the cBioPortal website. The Kaplan-Meier Plotter online database was applied to explore the prognostic value of SPP1. Univariate and multivariate Cox analyses were carried out to further confirm the prognostic value of SPP1. The GO and KEGG enrichment analysis exported associated pathways with SPP1 expression. The positively or negatively related immune cells and immune checkpoint expressions were identified through Pearson correlation analysis. The lipogenesis-associated proteins were detected using western blotting and fluorescence. The high-fat diet (HFD) mouse model was constructed, and liver samples were collected.

Results

SPP1, GNMT, CLDN11, and THBS2 were determined in the transformation process of MASH to liver fibrosis. SPP1 and GNMT were upregulated in the HCC tumor tissue. SPP1, in particular, had the potential to be the prognostic factor through Cox analysis. Remarkably, SPP1 was highly expressed in HCC compared to normal tissues in three independent datasets (GSE121248, GSE14520, and GSE45267). SPP1 is mainly involved in the amplification and deep deletion mutations. SPP1 was found to be strongly correlated with ANXA2 expression, and ANXA2 was also highly expressed in HCC with significant prognostic performance. Moreover, SPP1 was found to participate in the carcinogenic mechanism and correlate with immune cells and immune checkpoint expression. SPP1 knockdown suppressed the SREBP1 and FASN expressions and increased the SIRT1 expression . Moreover, the HFD model validated the upregulation of SPP1 in the fatty liver .

Conclusion

SPP1 may be the key oncogenic factor for the transformation of MASH to HCC, and it could be a potential immunotherapeutic target in HCC.

© 2025 The Author(s). Published by Bentham Science Publishers. This is an open access article published under CC BY 4.0 https://creativecommons.org/licenses/by/4.0/legalcode
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References

  1. MasuokaH.C. ChalasaniN. Nonalcoholic fatty liver disease: An emerging threat to obese and diabetic individuals.Ann. N. Y. Acad. Sci.20131281110612210.1111/nyas.12016 23363012
    [Google Scholar]
  2. PapatheodoridiM. CholongitasE. Diagnosis of non-alcoholic fatty liver disease (NAFLD): Current concepts.Curr. Pharm. Des.201924384574458610.2174/1381612825666190117102111 30652642
    [Google Scholar]
  3. IoannouG.N. Epidemiology and risk-stratification of NAFLD-associated HCC.J. Hepatol.20217561476148410.1016/j.jhep.2021.08.012 34453963
    [Google Scholar]
  4. MollicaV. RizzoA. MarchettiA. TateoV. TassinariE. RoselliniM. MassafraR. SantoniM. MassariF. The impact of ECOG performance status on efficacy of immunotherapy and immune-based combinations in cancer patients: The MOUSEION-06 study.Clin. Exp. Med.20232385039504910.1007/s10238‑023‑01159‑1 37535194
    [Google Scholar]
  5. RizzoA. RicciA.D. BrandiG. Immune-based combinations for advanced hepatocellular carcinoma: Shaping the direction of first-line therapy.Future Oncol.202117775575710.2217/fon‑2020‑0986 33508960
    [Google Scholar]
  6. TrépoE. ValentiL. Update on NAFLD genetics: From new variants to the clinic.J. Hepatol.20207261196120910.1016/j.jhep.2020.02.020 32145256
    [Google Scholar]
  7. YounossiZ. AnsteeQ.M. MariettiM. HardyT. HenryL. EslamM. GeorgeJ. BugianesiE. Global burden of NAFLD and NASH: Trends, predictions, risk factors and prevention.Nat. Rev. Gastroenterol. Hepatol.2018151112010.1038/nrgastro.2017.109 28930295
    [Google Scholar]
  8. ZhangX. Nafld related-hcc: The relationship with metabolic disorders.Adv. Exp. Med. Biol.201810615562
    [Google Scholar]
  9. HuangD.Q. SeragE.H.B. LoombaR. Global epidemiology of NAFLD-related HCC: Trends, predictions, risk factors and prevention.Nat. Rev. Gastroenterol. Hepatol.202118422323810.1038/s41575‑020‑00381‑6 33349658
    [Google Scholar]
  10. LiT. WengJ. ZhangY. LiangK. FuG. LiY. BaiX. GaoY. mTOR direct crosstalk with STAT5 promotes de novo lipid synthesis and induces hepatocellular carcinoma.Cell Death Dis.201910861910.1038/s41419‑019‑1828‑2 31409773
    [Google Scholar]
  11. JiangY. WangY. ChenS. LiuZ. YangH. JiaoY. TangL. Screening of biomarkers in liver tissue after bariatric surgery based on wgcna and svm-rfe algorithms.Dis. Markers2023202312310.1155/2023/2970429 36755803
    [Google Scholar]
  12. BaniniB.A. SanyalA.J. NAFLD-Related HCC. Advances in cancer research.Elsevier2021Vol. 149143169
    [Google Scholar]
  13. AlonsoC. RamosF.D. ReyV.M. ArranzM.I. NavasaN. LiempdV.S.M. TruebaL.J.L. MayoR. IlissoC.P. de JuanV.G. LejarretaI.M. VillarD.L. MincholéI. RobinsonA. CrespoJ. DuceM.A. GómezR.M. SannH. PlatonJ. Van EykJ. AspichuetaP. NoureddinM. PérezF.J.M. AnguitaJ. AransayA.M. ChantarM.M.L. LuS.C. MatoJ.M. Metabolomic identification of subtypes of nonalcoholic steatohepatitis.Gastroenterology2017152614491461.e710.1053/j.gastro.2017.01.015 28132890
    [Google Scholar]
  14. WangZ. ZhaoZ. XiaY. CaiZ. WangC. ShenY. LiuR. QinH. JiaJ. YuanG. Potential biomarkers in the fibrosis progression of nonalcoholic steatohepatitis (NASH).J. Endocrinol. Invest.20224571379139210.1007/s40618‑022‑01773‑y 35226336
    [Google Scholar]
  15. WangW. LiuX. WeiP. YeF. ChenY. ShiL. ZhangX. LiJ. LinS. YangX. SPP1 and CXCL9 promote non-alcoholic steatohepatitis progression based on bioinformatics analysis and experimental studies.Front. Med.2022986227810.3389/fmed.2022.862278 35514751
    [Google Scholar]
  16. TangM. JiaH. ChenS. YangB. PatpurB.K. SongW. ChangY. LiJ. YangC. Significance of MR/OPN/HMGB1 axis in NAFLD-associated hepatic fibrogenesis.Life Sci.202126411861910.1016/j.lfs.2020.118619 33091447
    [Google Scholar]
  17. HeW. HuangC. ZhangX. WangD. ChenY. ZhaoY. LiX. Identification of transcriptomic signatures and crucial pathways involved in non-alcoholic steatohepatitis.Endocrine2021731526410.1007/s12020‑021‑02716‑y 33837926
    [Google Scholar]
  18. KrissM. MasonG.L. KaplanJ. MirshahiF. SetiawanV.W. SanyalA.J. RosenH.R. Increased hepatic and circulating chemokine and osteopontin expression occurs early in human NAFLD development.PLoS One2020157e023635310.1371/journal.pone.0236353 32730345
    [Google Scholar]
  19. NardoA.D. GrünN.G. ZeydaM. DumanicM. OberhuberG. RivellesE. HelbichT.H. MarkgrafD.F. RodenM. ClaudelT. TraunerM. StulnigT.M. Impact of osteopontin on the development of non-alcoholic liver disease and related hepatocellular carcinoma.Liver Int.20204071620163310.1111/liv.14464 32281248
    [Google Scholar]
  20. LiuL. ZhangR. DengJ. DaiX. ZhuX. FuQ. ZhangH. TongZ. ZhaoP. FangW. ZhengY. BaoX. Construction of TME and Identification of crosstalk between malignant cells and macrophages by SPP1 in hepatocellular carcinoma.Cancer Immunol. Immunother.202271112113610.1007/s00262‑021‑02967‑8 34028567
    [Google Scholar]
  21. WangJ. HaoF. FeiX. ChenY. SPP1 functions as an enhancer of cell growth in hepatocellular carcinoma targeted by MiR-181c.Am. J. Transl. Res.2019111169246937
    [Google Scholar]
  22. PanH.W. OuY.H. PengS.Y. LiuS.H. LaiP.L. LeeP.H. SheuJ.C. ChenC.L. HsuH.C. Overexpression of osteopontin is associated with intrahepatic metastasis, early recurrence, and poorer prognosis of surgically resected hepatocellular carcinoma.Cancer200398111912710.1002/cncr.11487 12833464
    [Google Scholar]
  23. AndersonN.R. MinutoloN.G. GillS. KlichinskyM. Macrophage-based approaches for cancer immunotherapy.Cancer Res.20218151201120810.1158/0008‑5472.CAN‑20‑2990 33203697
    [Google Scholar]
  24. PuJ. XuZ. NianJ. FangQ. YangM. HuangY. LiW. GeB. WangJ. WeiH. M2 macrophage-derived extracellular vesicles facilitate cd8+t cell exhaustion in hepatocellular carcinoma via the mir-21-5p/yod1/yap/β-catenin pathway.Cell Death Discov.20217118210.1038/s41420‑021‑00556‑3
    [Google Scholar]
  25. ChangS.H. T helper 17 (Th17) cells and interleukin-17 (IL-17) in cancer.Arch. Pharm. Res.201942754955910.1007/s12272‑019‑01146‑9 30941641
    [Google Scholar]
  26. FathiF. SaidiR.F. BanafsheH.R. ArbabiM. LotfiniaM. MotedayyenH. Changes in immune profile affect disease progression in hepatocellular carcinoma.Int. J. Immunopathol. Pharmacol.2022360394632022107847610.1177/03946320221078476 35226515
    [Google Scholar]
  27. KogameM. NagaiH. ShinoharaM. IgarashiY. SuminoY. IshiiK. Th2 dominance might induce carcinogenesis in patients with hcv-related liver cirrhosis.Anticancer Res.20163694529453610.21873/anticanres.11000 27630292
    [Google Scholar]
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