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Zhang Q, Liu Y, Ren L, Li J, Lin W, Lou L, Wang M, Li C, Jiang Y. Proteomic analysis of DEN and CCl 4-induced hepatocellular carcinoma mouse model. Sci Rep 2024; 14:8013. [PMID: 38580754 PMCID: PMC10997670 DOI: 10.1038/s41598-024-58587-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2023] [Accepted: 04/01/2024] [Indexed: 04/07/2024] Open
Abstract
Hepatocellular carcinoma (HCC) seriously threatens human health, mostly developed from liver fibrosis or cirrhosis. Since diethylnitrosamine (DEN) and carbon tetrachloride (CCl4)-induced HCC mouse model almost recapitulates the characteristic of HCC with fibrosis and inflammation, it is taken as an essential tool to investigate the pathogenesis of HCC. However, a comprehensive understanding of the protein expression profile of this model is little. In this study, we performed proteomic analysis of this model to elucidate its proteomic characteristics. Compared with normal liver tissues, 432 differentially expressed proteins (DEPs) were identified in tumor tissues, among which 365 were up-regulated and 67 were down-regulated. Through Gene Ontology (GO) analysis, Ingenuity Pathway Analysis (IPA), protein-protein interaction networks (PPI) analysis and Gene-set enrichment analysis (GSEA) analysis of DEPs, we identified two distinguishing features of DEN and CCl4-induced HCC mouse model in protein expression, the upregulation of actin cytoskeleton and branched-chain amino acids metabolic reprogramming. In addition, matching DEPs from the mouse model to homologous proteins in the human HCC cohort revealed that the DEN and CCl4-induced HCC mouse model was relatively similar to the subtype of HCC with poor prognosis. Finally, combining clinical information from the HCC cohort, we screened seven proteins with prognostic significance, SMAD2, PTPN1, PCNA, MTHFD1L, MBOAT7, FABP5, and AGRN. Overall, we provided proteomic data of the DEN and CCl4-induced HCC mouse model and highlighted the important proteins and pathways in it, contributing to the rational application of this model in HCC research.
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Affiliation(s)
- Qian Zhang
- State Key Laboratory of Medicle Proteomics, Beijing Institute of Lifeomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing, 102206, China
| | - Yuhui Liu
- State Key Laboratory of Medicle Proteomics, Beijing Institute of Lifeomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing, 102206, China
| | - Liangliang Ren
- State Key Laboratory of Medicle Proteomics, Beijing Institute of Lifeomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing, 102206, China
| | - Junqing Li
- State Key Laboratory of Medicle Proteomics, Beijing Institute of Lifeomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing, 102206, China
- School of Basic Medical Science, Anhui Medical University, Hefei, 230032, China
| | - Weiran Lin
- State Key Laboratory of Medicle Proteomics, Beijing Institute of Lifeomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing, 102206, China
| | - Lijuan Lou
- State Key Laboratory of Medicle Proteomics, Beijing Institute of Lifeomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing, 102206, China
| | - Minghan Wang
- State Key Laboratory of Medicle Proteomics, Beijing Institute of Lifeomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing, 102206, China
| | - Chaoying Li
- State Key Laboratory of Medicle Proteomics, Beijing Institute of Lifeomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing, 102206, China
| | - Ying Jiang
- State Key Laboratory of Medicle Proteomics, Beijing Institute of Lifeomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing, 102206, China.
- School of Basic Medical Science, Anhui Medical University, Hefei, 230032, China.
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Lai M, Qin YL, Jin QY, Chen WJ, Hu J. Association of MBOAT7 rs641738 polymorphism with hepatocellular carcinoma susceptibility: A systematic review and meta-analysis. World J Gastrointest Oncol 2023; 15:2225-2236. [PMID: 38173430 PMCID: PMC10758655 DOI: 10.4251/wjgo.v15.i12.2225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Revised: 10/23/2023] [Accepted: 11/17/2023] [Indexed: 12/14/2023] Open
Abstract
BACKGROUND The MBOAT7 rs641738 single-nucleotide polymorphism (SNP) has been proven to influence various liver diseases, but its association with hepatocellular carcinoma (HCC) susceptibility has been debated. To address this discrepancy, we conducted the current systematic review and meta-analysis. AIM To perform a systematic review and meta-analysis on association of MBOAT7 SNP and HCC susceptibility. METHODS We performed a systematic review in PubMed, Web of Science, Scopus, and EMBASE; applied specific inclusion and exclusion criteria; and extracted the data. Meta-analysis was conducted with the meta package in R. Sensitivity and subgroup analyses were also performed. This meta-analysis was registered in PROSPERO (CRD42023458046). RESULTS Eight studies were included in the systematic review, and 12 cohorts from 6 studies were included in the meta-analysis. Our meta-analysis revealed an association between the MBOAT7 SNP and HCC susceptibility in both the dominant [odds ratio (OR): 1.14, 95% confidence interval (95%CI): 1.02-1.26, P = 0.020] and recessive (OR: 1.21, 95%CI: 1.05-1.39, P = 0.008) models. Subgroup analysis revealed that stratification of the included patients by geographical origin showed a significant association in Asia (OR: 1.20, 95%CI: 1.03-1.39). CONCLUSION This meta-analysis underscores the contribution of the MBOAT7 rs641738 SNP to hepatocarcinogenesis, especially in Asian populations, which warrants further investigation.
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Affiliation(s)
- Min Lai
- Department of Gastroenterology, the Third Affiliated Hospital of Chengdu Medical College/Chengdu Pidu District People's Hospital, Chengdu 611730, Sichuan Province, China
| | - Ya-Lu Qin
- Department of Cardiology, the Affiliated Third Hospital of Chengdu Traditional Chinese Medicine University/Chengdu Pidu District Hospital of Traditional Chinese Medicine, Chengdu 611730, Sichuan Province, China
| | - Qiong-Yu Jin
- Department of Gastroenterology, the Third Affiliated Hospital of Chengdu Medical College/Chengdu Pidu District People's Hospital, Chengdu 611730, Sichuan Province, China
| | - Wen-Jing Chen
- Department of Gastroenterology, the Third Affiliated Hospital of Chengdu Medical College/Chengdu Pidu District People's Hospital, Chengdu 611730, Sichuan Province, China
| | - Jia Hu
- Department of Gastroenterology, the Third Affiliated Hospital of Chengdu Medical College/Chengdu Pidu District People's Hospital, Chengdu 611730, Sichuan Province, China
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Genetic Variation of SAMM50 Is Not an Independent Risk Factor for Alcoholic Hepatocellular Carcinoma in Caucasian Patients. Int J Mol Sci 2022; 23:ijms232315353. [PMID: 36499681 PMCID: PMC9740343 DOI: 10.3390/ijms232315353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 11/21/2022] [Accepted: 12/01/2022] [Indexed: 12/12/2022] Open
Abstract
Hepatocellular carcinoma (HCC) is a severe complication of advanced alcoholic liver disease, which is modulated by genetic predisposition. Identifying new genetic loci might improve screening. Genetic variation of SAMM50 was linked to HCC. We aimed to validate this finding in a large cohort of patients with advanced alcoholic liver disease (ALD). A large, well-characterised cohort of patients with alcoholic cirrhosis without (n = 674) and with (n = 386) HCC, as well as controls with HCC due to viral hepatitis (n = 134), controls with heavy alcohol abuse without liver disease (n = 266) and healthy subjects (n = 237), were genotyped for SAMM50 rs3827385 and rs3761472 and for PNPLA3 rs738409. Genotype frequencies were compared between patients with alcohol-associated cirrhosis with and without HCC by uni- and multivariate analysis. Minor variants in both SAMM50 rs3827385 and rs3761472 were significantly more frequent in patients with alcoholic HCC versus alcoholic cirrhosis and versus the control cohorts. An even stronger association was noted for PNPLA3 rs738409. The univariate analysis resulted in an odds ratio (OR) of 1.8 for carriers of at least one minor variant of SAMM50 rs3827385 and rs3761472 (each p < 0.001), but this association was lost in multivariate analysis with age (OR 1.1/year), male sex (OR 3.2), diabetes (OR 1.9) and carriage of PNPLA3 148M (OR 2.1) remaining in the final model. Although minor variants of both SAMM50 loci are strongly associated with alcoholic HCC, this association is not independent of carriage of the well-known risk variant PNPLA3 148M.
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Zunica ERM, Heintz EC, Axelrod CL, Kirwan JP. Obesity Management in the Primary Prevention of Hepatocellular Carcinoma. Cancers (Basel) 2022; 14:cancers14164051. [PMID: 36011044 PMCID: PMC9406638 DOI: 10.3390/cancers14164051] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Revised: 08/16/2022] [Accepted: 08/20/2022] [Indexed: 11/16/2022] Open
Abstract
Hepatocellular carcinoma (HCC) is the most frequent primary hepatic malignancy and a leading cause of cancer-related death globally. HCC is associated with an indolent clinical presentation, resulting in frequent advanced stage diagnoses where surgical resection or transplant therapies are not an option and medical therapies are largely ineffective at improving survival. As such, there is a critical need to identify and enhance primary prevention strategies to mitigate HCC-related morbidity and mortality. Obesity is an independent risk factor for the onset and progression of HCC. Furthermore, obesity is a leading cause of nonalcoholic steatohepatitis (NASH), the fasting growing etiological factor of HCC. Herein, we review evolving clinical and mechanistic associations between obesity and hepatocarcinogenesis with an emphasis on the therapeutic efficacy of prevailing lifestyle/behavioral, medical, and surgical treatment strategies for weight reduction and NASH reversal.
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Affiliation(s)
| | | | | | - John P. Kirwan
- Correspondence: (C.L.A.); (J.P.K.); Tel.: +1-225-763-2513 (J.P.K.)
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Ioannou GN. HCC surveillance after SVR in patients with F3/F4 fibrosis. J Hepatol 2021; 74:458-465. [PMID: 33303216 DOI: 10.1016/j.jhep.2020.10.016] [Citation(s) in RCA: 76] [Impact Index Per Article: 25.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Revised: 09/28/2020] [Accepted: 10/09/2020] [Indexed: 02/07/2023]
Abstract
HCV eradication by antiviral treatment reduces but does not eliminate HCC risk. Patients with established cirrhosis require HCC surveillance "indefinitely" after sustained virologic response (SVR) because they appear to have a high risk of HCC even many years after SVR. Patients without established or known cirrhosis may still require surveillance after SVR if they have a sufficiently high HCC risk. In all patients who achieve SVR, the key question is how we can reliably estimate HCC risk, and the change in HCC risk over time, to determine whether the patient might benefit from HCC surveillance. HCC risk is one of the most important factors that should inform decisions of whether and how to screen for HCC. Promising strategies for estimating HCC risk include simplified scoring systems (such as fibrosis-4), liver elastography and multivariable HCC risk calculators. Such tools may enable risk stratification and individualised, risk-based surveillance strategies ("precision HCC screening") in the future.
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Affiliation(s)
- George N Ioannou
- Director of Hepatology, Veterans Affairs Puget Sound Healthcare System; Professor of Medicine, University of Washington, Seattle, WA.
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Kelava T, Turcic P, Markotic A, Ostojic A, Sisl D, Mrzljak A. Importance of genetic polymorphisms in liver transplantation outcomes. World J Gastroenterol 2020; 26:1273-1285. [PMID: 32256016 PMCID: PMC7109269 DOI: 10.3748/wjg.v26.i12.1273] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/31/2019] [Revised: 03/01/2020] [Accepted: 03/05/2020] [Indexed: 02/06/2023] Open
Abstract
Although, liver transplantation serves as the only curative treatment for patients with end-stage liver diseases, it is burdened with complications, which affect survival rates. In addition to clinical risk factors, contribution of recipient and donor genetic prognostic markers has been extensively studied in order to reduce the burden and improve the outcomes. Determination of single nucleotide polymorphisms (SNPs) is one of the most important tools in development of personalized transplant approach. To provide a better insight in recent developments, we review the studies published in the last three years that investigated an association of recipient or donor SNPs with most common issues in liver transplantation: Acute cellular rejection, development of new-onset diabetes mellitus and non-alcoholic fatty liver disease, hepatocellular carcinoma recurrence, and tacrolimus concentration variability. Reviewed studies confirmed previously established SNP prognostic factors, such as PNPLA3 rs738409 for non-alcoholic fatty liver disease development, or the role of CYP3A5 rs776746 in tacrolimus concentration variability. They also identified several novel SNPs, with a reasonably strong association, which have the potential to become useful predictors of post-transplant complications. However, as the studies were typically conducted in one center on relatively low-to-moderate number of patients, verification of the results in other centers is warranted to resolve these limitations. Furthermore, of 29 reviewed studies, 28 used gene candidate approach and only one implemented a genome wide association approach. Genome wide association multicentric studies are needed to facilitate the development of personalized transplant medicine.
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Affiliation(s)
- Tomislav Kelava
- Laboratory for Molecular Immunology, Croatian Institute for Brain Research, University of Zagreb, School of Medicine, Zagreb 10000, Croatia
| | - Petra Turcic
- Department of Pharmacology, Faculty of Pharmacy and Biochemistry of University of Zagreb, Zagreb 10000, Croatia
| | - Antonio Markotic
- Center for Clinical Pharmacology, University Clinical Hospital Mostar, Mostar 88000, Bosnia and Herzegovina
| | - Ana Ostojic
- Department of Medicine, Merkur University Hospital, Zagreb 10000, Croatia
| | - Dino Sisl
- Laboratory for Molecular Immunology, Croatian Institute for Brain Research, University of Zagreb, School of Medicine, Zagreb 10000, Croatia
| | - Anna Mrzljak
- Department of Medicine, Merkur University Hospital; School of Medicine, University of Zagreb, Zagreb 10000, Croatia
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