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"Methylation"

Letter to the Editor

Original Articles

PRMT1-mediated asymmetric dimethylation of arginine residue 602 in DDX1 promotes cholangiocarcinoma progression
Wenzheng Liu, Yangwei Liao, Yiyang Kuai, Xin Gao, Xingmin Yan, Jingjing Li, Junsheng Chen, Jukun Su, Jingcong Zhou, Yizhu Kong, Siqin Huang, Zhiwei Zhang, Feng Peng, Bing Wang, Yongjun Chen
Clin Mol Hepatol 2026;32(2):843-865.
Published online February 11, 2026
DOI: https://doi.org/10.3350/cmh.2025.1252
Background/Aims
Cholangiocarcinoma (CCA) is a primary malignant neoplasm with an extremely poor prognosis. While combined chemoradiotherapy has been demonstrated to delay CCA progression to a certain extent, the absence of specific molecular biomarkers or targets significantly hinders the diagnosis and treatment of CCA.
Methods
Through cross-analysis of proteomics and ADMA modificationomics, we identified DDX1 overexpressed in CCA with elevated R602-ADMA modifications. HPLC-MS/MS identified PRMT1 as the methyltransferase and USP10 as the deubiquitinating enzyme for DDX1. Immunofluorescence and nuclear-cytoplasmic partitioning experiments confirmed DDX1’s nuclear localization. GO and KEGG analyses clarify the biological functions of DDX1 in response to hypoxia. RNA-seq transcriptomics analyzed key pathways influenced by DDX1. A hydrodynamic in situ CCA mouse model was established to validate the chemopreventive effects of the PRMT1-specific inhibitor GSK715 on CCA development.
Results
DDX1 promotes CCA progression both in vivo and in vitro and can be inhibited by GSK715. Mechanistically, PRMT1 mediates ADMA modification at position R602 of DDX1. This modification promotes DDX1 nuclear localization by recruiting USP10 to deubiquitinate DDX1, while simultaneously inhibiting PRMT1 degradation. DDX1 promotes the transcription of PRMT1 and USP10 by binding to the mRNA 3’UTR region, establishing a positive feedback regulatory pathway. This mechanism promotes the occurrence and development of CCA and can serve as a target for the inhibitor GSK715 to suppress CCA progression.
Conclusions
Our study identified DDX1-R602-ADMA modification as a novel ADMA modification in CCA. It further confirmed its pivotal role in CCA progression. Targeting the USP10-PRMT1-DDX1 axis may represent a significant therapeutic approach for CCA.
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DNMT1 facilitates the progression of metabolic dysfunction-associated steatotic liver disease by impeding transcription mediated by HNF4α and PPARα
Hyun Ahm Sohn, Hanyong Go, Tae Hyeon An, Jun Min Lee, Hee-Jin Kim, Keeok Haam, Amal Magdy, Hyo-Jung Jung, Yang-Ji Shin, Hyun Jung Lim, Yujin Jeong, Yejin Bae, Youngae Jung, Seong-Hwan Park, Kyung Chan Park, Myeong Jun Song, Eun-Wie Cho, Eun-Soo Kwon, Jeong Hwan Park, Murim Choi, Geum-Sook Hwang, Dong Hyeon Lee, Kyoung-Jin Oh, Won Kim, Mirang Kim, on behalf of the Innovative Target Exploration of NAFLD (ITEN) Consortium
Clin Mol Hepatol 2026;32(3):1201-1224.
Published online January 27, 2026
DOI: https://doi.org/10.3350/cmh.2025.1099
Background/Aims
Metabolic dysfunction-associated steatotic liver disease (MASLD) is the most prevalent chronic liver disease worldwide. Aberrant DNA methylation, which is primarily maintained by DNA methyltransferase 1 (DNMT1), has been linked to metabolic dysregulation; however, its contribution to MASLD pathogenesis remains poorly defined. This study aimed to elucidate the role of DNMT1-mediated methylation in transcriptional regulation during MASLD progression and to determine whether DNMT1 inhibition can reverse disease-associated epigenetic and transcriptional alterations.
Methods
We conducted integrated analyses of the liver transcriptome (n=131) and DNA methylome (n=106) of patients with biopsy-proven MASLD. We evaluated the effect of DNMT1 inhibition with 5-aza-4′-thio-2′-deoxycytidine (Aza-TdC) on a diet-induced MASLD mouse model. Multiomics approaches, including DNA methylome profiling, lipidomics, RNA sequencing, and chromatin immunoprecipitation sequencing, were applied to elucidate the role of DNMT1-mediated DNA methylation in regulating pathogenic gene expression.
Results
DNA methylome profiling revealed increased methylation variability associated with increased DNMT1 expression in MASLD patients. DNMT1 inhibition ameliorated dysregulated lipid metabolism by reducing hepatic triacylglycerol accumulation and inflammation. Aza-TdC treatment partially reversed MASLD-related hypermethylation of hepatocyte nuclear factor 4 alpha (HNF4α)- and peroxisome proliferator-activated receptor alpha (PPARα)-regulated genes, restoring their transcriptional activity. Notably, Aza-TdC reactivated the gluconeogenic enzyme-encoding gene phosphoenolpyruvate carboxykinase 1 (PCK1), which was hypermethylated and transcriptionally repressed in MASLD. Targeted DNA methylation of the PCK1 promoter using CRISPRoff confirmed the direct epigenetic regulation of PCK1 expression.
Conclusions
Targeting DNMT1 may mitigate lipid dysregulation and inflammation by reversing hypermethylation and restoring HNF4α- and PPARα-dependent gene transcription, highlighting DNMT1 as a potential therapeutic target for MASLD.

Citations

Citations to this article as recorded by  Crossref logo
  • Sus scrofa domesticus reveals the genetic evolution of adaptive traits during early divergence
    Bohan Rong, Naiqi Niu, Wencheng Zong, Run Zhang, Xiaomei Ma, Na Zhang, Zhentong Shen, Yu Pang, Xu Lin, Di Liu, Yulong Yin, Longchao Zhang, Xiuqin Yang
    The Innovation Life.2026; : 100222.     CrossRef
  • Metabolic Reprogramming-Driven Cardiovascular Immune Damage: From Glyco-Lipotoxicity and Epigenetic Memory to Multidimensional Cross-Organ Communication Networks
    Zijin Sun, Yongchao Liu, Kai Wang, Haojia Zhang, Rui Zhou, Wei Shao
    International Journal of Molecular Sciences.2026; 27(12): 5526.     CrossRef
  • From linear methylation to spatial metabolic control: Rethinking DNMT1 targeting in MASLD: Letter to the editor on “DNMT1 facilitates the progression of MASLD by impeding transcription mediated by HNF4α and PPARα”
    Yao Liu, Qitai Song, Muhu Chen
    Clinical and Molecular Hepatology.2026; 32(3): e317.     CrossRef
  • Metabolic dysfunction-associated steatotic liver disease: pathogenic mechanisms and exercise-induced molecular adaptations
    Senlin Lei, Jiasheng Tao, Xiaoan Chen, Xianhui Li, Songwei Zhong
    Lipids in Health and Disease.2026;[Epub]     CrossRef
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  • 1 Web of Science
  • Crossref

Editorial

Correspondence

Hepatic neoplasm

Correspondence to editorial on “Exploring methylation signatures for high de novo recurrence risk in hepatocellular carcinoma”
Kwang-Woong Lee, Young-Joon Kim
Clin Mol Hepatol 2025;31(2):e206-e207.
Published online February 17, 2025
DOI: https://doi.org/10.3350/cmh.2025.0164
  • 6,424 View
  • 31 Download

Editorial

Hepatic neoplasm

  • 7,280 View
  • 48 Download

Original Articles

Glutamate dehydrogenase 1-dependent α-ketoglutarate promotes hepatitis B virus transcription by modulating histone methylations on the covalently closed circular DNA minichromosome
Sheng-Tao Cheng, Wei-Xian Chen, Hai-Jun Deng, Xin He, Hui Zhang, Ming Tan, Hai-Bo Yu, Zhen-Zhen Zhang, Ji-Hua Ren, Min-Li Yang, Da-Peng Zhang, Zhi-Hong Li, Juan Chen
Clin Mol Hepatol 2025;31(3):841-865.
Published online February 5, 2025
DOI: https://doi.org/10.3350/cmh.2024.0694
Background/Aims
Hepatitis B virus (HBV) hijacks host cell metabolism, especially host glutamine metabolism, to support its replication. Glutamate dehydrogenase 1 (GDH1), a mitochondrial enzyme crucial for glutamine metabolism, can interact with histone demethylases to regulate gene expression through histone methylation. However, the mechanisms underlying GDH1-mediated glutamine metabolism reprogramming and the roles of key metabolites during HBV infection remain unclear.
Methods
Transcriptomic and metabolomic analyses of HBV-infected cell were performed. Both HBV-infected cells and humanized liver chimeric mice were used to elucidate the effect of glutamine metabolism on HBV.
Results
HBV infection leads to the abnormal activation of glutamine metabolism, including upregulation of key enzymes and metabolites involved in glutamine metabolism. The viral core protein (HBc) mediates the translocation of GDH1 into the nucleus, where GDH1 activates covalently closed circular DNA (cccDNA) transcription by converting glutamate to α-ketoglutarate (αKG). Mechanistically, the promoting effect of GDH1-derived αKG on cccDNA transcription is independent of its conventional role. Rather, αKG directly interacts with the lysine-specific demethylase KDM4A and enhances KDM4A demethylase activity to regulate αKG-dependent histone demethylation, controlling cccDNA transcription.
Conclusions
Our findings highlight the importance of glutamine metabolism in HBV transcription and suggest that glutamine deprivation is a potential strategy for silencing cccDNA transcription.

Citations

Citations to this article as recorded by  Crossref logo
  • The roles of sugar metabolism mechanisms and metabolites in viral infections
    Jieyi He, Xianghong Ju, A.M. Abd El-Aty, Xiaoxi Liu, Xiaowen Li
    Virology.2026; 615: 110764.     CrossRef
  • Viral manipulation of host cell glutamine metabolism and glutamine rewiring in hepatic diseases: Editorial on “Glutamate dehydrogenase 1-dependent α-ketoglutarate promotes hepatitis B virus transcription by modulating histone methylations on the covalentl
    Mehrangiz Dezhbord, Kyun-Hwan Kim
    Clinical and Molecular Hepatology.2026; 32(1): 385.     CrossRef
  • Regulation of hepatitis B virus cccDNA by metabolic pathways: Editorial on “GDH1-dependent α-ketoglutarate promotes HBV transcription by modulating histone methylations on the cccDNA minichromosome”
    Hyeong-Jin Cho, Sung-Gyoo Park
    Clinical and Molecular Hepatology.2026; 32(1): 381.     CrossRef
  • The promise of epigenetic editing strategies in functionally curing chronic hepatitis B virus infections
    Sara G. Fonseca, Fabian M. Cortés-Mancera, Marianne G. Rots, Federica Sarno, Marleen van der Laan
    Epigenetics Communications.2026;[Epub]     CrossRef
  • KDM4A-driven epigenetic reprogramming as a central nexus linking metabolic adaptation, immune remodeling, and therapy resistance in cancer
    Xin Tang, Yunhan Zhao, Xianghai Yang, Jianrong Cheng
    Critical Reviews in Oncology/Hematology.2026; 227: 105552.     CrossRef
  • HBV and host metabolic crosstalk: Reprogramming pathways for viral replication and pathogenesis
    YanYing Yan, Zhiqiang Wei, Min Zheng, Mengji Lu, Xueyu Wang
    Virologica Sinica.2025; 40(5): 685.     CrossRef
  • Transcriptome Analysis Reveals Gemykibivirus Infection Induces Mitochondrial DNA Release in HEK293T Cells
    Runbo Yang, Hao Yan, Yifan Wang, Wenqing Yang, Jianru Qin
    Viruses.2025; 17(10): 1331.     CrossRef
  • 13,181 View
  • 413 Download
  • 9 Web of Science
  • Crossref

Hepatic neoplasm

Exploring methylation signatures for high de novo recurrence risk in hepatocellular carcinoma
Da-Won Kim, Jin Hyun Park, Suk Kyun Hong, Min-Hyeok Jung, Ji-One Pyeon, Jin-Young Lee, Kyung-Suk Suh, Nam-Joon Yi, YoungRok Choi, Kwang-Woong Lee, Young-Joon Kim
Clin Mol Hepatol 2025;31(2):563-576.
Published online January 13, 2025
DOI: https://doi.org/10.3350/cmh.2024.0899
Background/Aims
Hepatocellular carcinoma (HCC) exhibits high de novo recurrence rates post-resection. Current post-surgery recurrence prediction methods are limited, emphasizing the need for reliable biomarkers to assess recurrence risk. We aimed to develop methylation-based markers for classifying HCC patients and predicting their risk of de novo recurrence post-surgery.
Methods
In this retrospective cohort study, we analyzed data from HCC patients who underwent surgical resection in Korea, excluding those with recurrence within one year post-surgery. Using the Infinium Methylation EPIC array on 140 samples in the discovery cohort, we classified patients into low- and high-risk groups based on methylation profiles. Distinctive markers were identified through random forest analysis. These markers were validated in the cancer genome atlas (n=217), Validation cohort 1 (n=63) and experimental Validation using a methylation-sensitive high-resolution melting (MS-HRM) assay in Validation cohort 1 and Validation cohort 2 (n=63).
Results
The low-risk recurrence group (methylation group 1; MG1) showed a methylation average of 0.73 (95% confidence interval [CI] 0.69–0.77) with a 23.5% recurrence rate, while the high-risk group (MG2) had an average of 0.17 (95% CI 0.14–0.20) with a 44.1% recurrence rate (P<0.03). Validation confirmed the applicability of methylation markers across diverse populations, showing high accuracy in predicting the probability of HCC recurrence risk (area under the curve 96.8%). The MS-HRM assay confirmed its effectiveness in predicting de novo recurrence with 95.5% sensitivity, 89.7% specificity, and 92.2% accuracy.
Conclusions
Methylation markers effectively classified HCC patients by de novo recurrence risk, enhancing prediction accuracy and potentially offering personalized management strategies.

Citations

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  • Methylation of zinc-finger protein ZNF471 regulates MIS18A expression and inhibits proliferation and metastasis of hepatocellular carcinoma via negative regulation of the Wnt/β-catenin pathway, as well as enhances sensitivity to apatinib and donafenib
    Xiaofei Wang, Luyao Jia, Chao Zhang, Chunjing Bian, Chenchen Huang, Kejing Ma, Tao Luo
    Cellular Signalling.2026; 145: 112608.     CrossRef
  • Circulating tumor DNA for minimal residual disease and recurrence surveillance in hepatocellular carcinoma: current evidence and a translational roadmap
    Yang Gu, Xiaofeng Luo, Yuxian Zhang, Jie Tang, Zhigang Wang
    Frontiers in Oncology.2026;[Epub]     CrossRef
  • 10,384 View
  • 163 Download
  • 7 Web of Science
  • Crossref

Correspondence

Steatotic liver disease

  • 5,683 View
  • 94 Download

Editorial

Steatotic liver disease

Citations

Citations to this article as recorded by  Crossref logo
  • Epigenetic Information Loss and Chronosenescence in Liver Aging: From Molecular Mechanisms to Therapeutic Interventions
    Xu Xu, Hui Li, Jiling Li, Min Huang
    The FASEB Journal.2026;[Epub]     CrossRef
  • Correspondence to editorial on “DNA methylome analysis reveals epigenetic alteration of complement genes in advanced metabolic dysfunction-associated steatotic liver disease”
    Amal Magdy, Hee-Jin Kim, Won Kim, Mirang Kim
    Clinical and Molecular Hepatology.2025; 31(1): e70.     CrossRef
  • 6,874 View
  • 42 Download
  • 2 Web of Science
  • Crossref
Original Articles

Steatotic liver disease

DNA methylome analysis reveals epigenetic alteration of complement genes in advanced metabolic dysfunction-associated steatotic liver disease
Amal Magdy, Hee-Jin Kim, Hanyong Go, Jun Min Lee, Hyun Ahm Sohn, Keeok Haam, Hyo-Jung Jung, Jong-Lyul Park, Taekyeong Yoo, Eun-Soo Kwon, Dong Hyeon Lee, Murim Choi, Keon Wook Kang, Won Kim, Mirang Kim, on behalf of the Innovative Target Exploration of NAFLD (ITEN) Consortium
Clin Mol Hepatol 2024;30(4):824-844.
Published online July 25, 2024
DOI: https://doi.org/10.3350/cmh.2024.0229
Background/Aims
Blocking the complement system is a promising strategy to impede the progression of metabolic dysfunction–associated steatotic liver disease (MASLD). However, the interplay between complement and MASLD remains to be elucidated. This comprehensive approach aimed to investigate the potential association between complement dysregulation and the histological severity of MASLD.
Methods
Liver biopsy specimens were procured from a cohort comprising 106 Korean individuals, which included 31 controls, 17 with isolated steatosis, and 58 with metabolic dysfunction–associated steatohepatitis (MASH). Utilizing the Infinium Methylation EPIC array, thorough analysis of methylation alterations in 61 complement genes was conducted. The expression and methylation of nine complement genes in a murine MASH model were examined using quantitative RT-PCR and pyrosequencing.
Results
Methylome and transcriptome analyses of liver biopsies revealed significant (P<0.05) hypermethylation and downregulation of C1R, C1S, C3, C6, C4BPA, and SERPING1, as well as hypomethylation (P<0.0005) and upregulation (P<0.05) of C5AR1, C7, and CD59, in association with the histological severity of MASLD. Furthermore, DNA methylation and the relative expression of nine complement genes in a MASH diet mouse model aligned with human data.
Conclusions
Our research provides compelling evidence that epigenetic alterations in complement genes correlate with MASLD severity, offering valuable insights into the mechanisms driving MASLD progression, and suggests that inhibiting the function of certain complement proteins may be a promising strategy for managing MASLD.

Citations

Citations to this article as recorded by  Crossref logo
  • NSD2 exacerbates metabolic dysfunction-associated steatotic liver disease progression by suppressing TFEB-mediated autophagy-lysosomal pathway
    Yuan Qiao, Yijia Zhang, Cuiting Sun, Qi Jin, Peng Qu, Zecheng Li, Yang Qiu, Hua Meng, Dantao Peng, Liang Peng
    Metabolism.2026; 174: 156416.     CrossRef
  • Proteomics Insight into the Pathogenic Evolution of Chronic Hepatitis B across Distinct Clinical Stages
    Junhua Xie, Jun Lai, Yanzhe Zhang, Ye Liu, Zhixiang Yan
    Journal of Proteome Research.2026; 25(2): 936.     CrossRef
  • Transcriptional and epigenetic regulation of Ca2+-signaling genes in hepatitis B-derived hepatocellular carcinoma and their association with the cancer hallmarks
    Guadalupe Hernández-Martínez, Andrés Hernández-Oliveras, Ángel Zarain-Herzberg, Juan Santiago-García, Kieran Campbell
    Bioinformatics Advances.2026;[Epub]     CrossRef
  • Editorial: Residual HCC Risk After Hepatitis C Cure—Can Polygenic Risk Scores Refine Surveillance?
    Heechul Nam, Sung Won Lee
    Alimentary Pharmacology & Therapeutics.2026; 63(10): 1427.     CrossRef
  • Diagnostic innovation and models of care to improve fibrosis detection and risk stratification in steatotic liver disease
    Nicola Pugliese, Trenton M. White, Paul N. Brennan, Silvana Pannain, Hannes Hagström, Maurice Michel, Lisa Rice-Duek, Giovanni Targher, Cyrielle Caussy, John F. Dillon, Frank Tacke, Christopher J. Kopka, Giada Sebastiani, Jerome Boursier, Emmanuel A. Tsoc
    The Lancet Regional Health - Europe.2026; 65: 101722.     CrossRef
  • Integrative multi-omics analysis identifies stellate cell-derived complement component 7 as a predictor of fibrosis and liver-related events in MASLD
    Shohei Kondo, Takefumi Kimura, Takanobu Iwadare, Mohammad Taufeeq, Takao Miwa, Naoyuki Fujimori, Tomoyuki Nakajima, Shun-ichi Wakabayashi, Taiki Okumura, Hiroyuki Kobayashi, Yuki Yamashita, Satsuki Isogai, Tomoo Yamazaki, Mai Iwaya, Takeshi Uehara, Takeji
    JHEP Reports.2026; 8(11): 101965.     CrossRef
  • Gut microbiota and the gut–liver axis in MASLD: mechanisms, immune regulation and therapeutic opportunities
    Jingjing Liu, Mei Zhao, Shujing Wang, Chengyong Zhang, Yingli Zhong, Yuanjun Qu
    Frontiers in Pharmacology.2026;[Epub]     CrossRef
  • Targeting the Complement C1 Proteases Using Camelid-Derived Single Domain Antibodies: Production, Characterization and Possible Application for Tissue/Fluid Analysis
    Nolwenn Haut, Véronique Rossi, Julie Peliconi, Jean-Baptiste Reiser, Nicole M. Thielens, Lubka T. Roumenina, Christine Gaboriaud
    Antibodies.2026; 15(5): 92.     CrossRef
  • Calpain-1 Deficiency Alleviates Oxidative Stress and Hepatic Injury in ApoE-deficient Mice with MASH
    Wenjiao Gu, Yujie Wei, Shuangyi Li, MOHAMED ALI AWAD, Youming Shi, Ying Jiang, Xiaochun Zhou, Zhimin Wang, Jixin Liu, Futian Tang
    Tissue and Cell.2026; : 104024.     CrossRef
  • Exposure-shaped immunometabolic networks in chronic liver disease: translating multi-omics and artificial intelligence into preventive biomarkers
    Hailin Wang, Qinqin Tang, Juan Hu, Jingdong Li, Qiushi Huang
    Frontiers in Immunology.2026;[Epub]     CrossRef
  • Abnormal lipid metabolism in metabolic dysfunction-associated steatohepatitis (MASH)
    Wonseok Lee, You-Jin Choi, Hyuneui Park, Suwan Chae, Byung-Hoon Lee
    Toxicological Research.2026;[Epub]     CrossRef
  • Role of genetic variants and DNA methylation of lipid metabolism-related genes in metabolic dysfunction-associated steatotic liver disease
    Jun-Jie Wang, Xiao-Yuan Chen, Yi-Rong Zhang, Yan Shen, Meng-Lin Zhu, Jun Zhang, Jun-Jie Zhang
    Frontiers in Physiology.2025;[Epub]     CrossRef
  • Uncovering hepatic transcriptomic and circulating proteomic signatures in MASH: A meta-analysis and machine learning-based biomarker discovery
    Elena Cristina Rusu, Helena Clavero-Mestres, Mario Sánchez-Álvarez, Marina Veciana-Molins, Laia Bertran, Pablo Monfort-Lanzas, Carmen Aguilar, Javier Camaron, Teresa Auguet
    Computers in Biology and Medicine.2025; 191: 110170.     CrossRef
  • Sepsis-related immune signature C3 in endometrial carcinoma: implications for prognosis, tumor progression through bioinformatics and experimental validation
    Kulsoom, Wajahat Ali, Saleem Ahmad, Irfan Ali Khan, Tanveen Kaur Soni, Asia Masood, Muhammad Omer Iqbal, Valisher Sapayev Odilbek uglu, Mukhayya Xusinovna Djumaniyazova, Anas Sameed Cholavaram, Mubaraq Arisekola Abdulrahmon
    Molecular Biology Reports.2025;[Epub]     CrossRef
  • Gradual DNA methylation changes reveal transcription factors implicated in metabolic dysfunction-associated steatotic liver disease progression and epigenetic age acceleration
    Evelien Van Dijck, Steven Van Laere, Emilie Logie, Steven Timmermans, Erik Fransen, Joe Ibrahim, Timothy J. Kendall, Jonathan A. Fallowfield, Ligia M. Mateiu, Claude Libert, Guy Van Camp, An Verrijken, Luc Van Gaal, Sven Francque, Wim Van Hul, Wim Vanden
    Clinical Epigenetics.2025;[Epub]     CrossRef
  • Recent progress in histone post-translational modifications as regulators of metabolic diseases: A review
    Aiqiang Zhu, Tong Ye, Minjia Tan, Jun-Yu Xu
    International Journal of Biological Macromolecules.2025; 330: 147964.     CrossRef
  • 18,590 View
  • 438 Download
  • 20 Web of Science
  • Crossref
Methylation of the Tumor Suppressor Gene RUN×3 in Human Gastric Carcinoma
Hyun Joo Song , Ki Nam Shim , Yang Hee Joo , Seong Eun Kim , Sung Ae Jung , Kwon Yoo
Korean J Hepatol 2008;12(2):119-125.
Background/Aims
RUN×3 (PEBP2αC/CBFA3/AML2) is a novel tumor suppressor gene in the human gastric carcinoma. The aims of this study were to determine the methylation of RUN×3 promoter and the association between RUN×3 methylation and the clinicopathological characteristics of patients with gastric carcinoma. Methods: Seventy-nine patients with gastric carcinoma were studied prospectively from April 2005 to May 2007. The methylations of RUN×3 promoter on the gastric carcinoma specimens and the corresponding nonneoplastic mucosa were evaluated by methylation-specific polymerase chain reaction. Results: Comparison of the results with the clinicopathological characteristics identified RUN×3 monoallelic methylation in 32.9% (26/79) of the gastric carcinoma patients and in 11.4% (9/79) of those with nonneoplastic mucosa (p=0.053). The monoallelic methylated gastric carcinoma specimens predominantly consisted of well- and moderately differentiated carcinomas (44.7%), with the unmethylated group constituting 22.0% of them (p=0.031). Among the 48 patients (60.8%) who underwent gastrectomy, there was no correlation between the two groups with regard to Lauren`s classification (p=0.235), depth of invasion (p=0.990), nodal status (p=0.601), stage (p=0.900), lymphatic invasion (p=0.537), and vascular invasion (p=0.815). Conclusions: Methylation of the tumor suppressor gene RUN×3 might be one of the mechanisms involved in the pathogenesis of gastric carcinoma.
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