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"Gene expression"

Original Article

Molecular classification of hepatocellular carcinoma based on zoned metabolic feature and oncogenic signaling pathway
Tomoko Aoki, Naoshi Nishida, Yutaka Kurebayashi, Kazuko Sakai, Naoto Fujiwara, Masakatsu Tsurusaki, Kohei Hanaoka, Masahiro Morita, Hirokazu Chishina, Masahiro Takita, Satoru Hagiwara, Hiroshi Ida, Kazuomi Ueshima, Yasunori Minami, Atsushi Takebe, Takaaki Murase, Keiko Kamei, Takuya Nakai, Ippei Matsumoto, Kazuto Nishio, Masatoshi Kudo
Clin Mol Hepatol 2025;31(3):981-1002.
Published online March 11, 2025
DOI: https://doi.org/10.3350/cmh.2024.1088
Background/Aims
Previously, we advocated the importance of classifying hepatocellular carcinoma (HCC) based on physiological functions. This study aims to classify HCC by focusing on liver-intrinsic metabolism and glycolytic pathway in cancer cells.
Methods
Comprehensive RNA/DNA sequencing, immunohistochemistry, and radiological evaluations were performed on HCC tissues from the training cohort (n=136) and validated in 916 public samples. HCC was classified using hierarchical clustering and compared with previous molecular, histopathological, and hemodynamic classifications.
Result
s: Liver-specific metabolism and glycolysis are mutually exclusive and were divided into two major subclasses: The “rich metabolism” subclass (60.3%) is characterized by enhanced bile acid and fatty acid metabolism, wellto-moderate differentiation, microtrabecular or pseudoglandular pattern, and homogeneous arterial-phase hyperenhancement (APHE), corresponding to Hoshida S3 with favorable prognosis. In IL6-JAK-STAT3-high (25.0%) conditions, upregulated ALB expression, enhanced gluconeogenesis and urea cycle activity, and an inflammatorymicroenvironment are observed. Conversely, the Wnt/β-catenin-high environment (19.9%) features elevated GLUL, APOB and CYP3A4 expression, frequent CTNNB1 (D32–S37) mutations, and an immune-desert/excluded phenotype. The “glycolysis” subclass (39.7%), characterized by histopathological dedifferentiation and downregulated liver-specific metabolism, encompasses subclasses with PI3K/mTOR (20.6%) and NOTCH/TGF-β (19.1%) signaling. These often exhibit TP53 mutations, macrotrabecular massive or compact patterns, inhomogeneous/rim-APHE, and high expression of hypoxia-inducible factors and glucose transporters, corresponding to Hoshida S1/2 with poor prognosis.
Conclusions
The loss of liver-specific metabolism correlates with morphological dedifferentiation, indicating cellular dedifferentiation may exhibit both physiological and pathological duality. Key signaling pathways involved in the maturation process from fetal to adult liver and zonation program may play a critical role in defining HCC diversity.

Citations

Citations to this article as recorded by  Crossref logo
  • Correspondence to editorial on “Molecular classification of hepatocellular carcinoma based on zoned metabolic feature and oncogenic signaling pathway”
    Tomoko Aoki, Naoshi Nishida, Masatoshi Kudo
    Clinical and Molecular Hepatology.2026; 32(1): e79.     CrossRef
  • Molecular stratification of hepatocellular carcinoma by metabolic-signaling pathways guides precision immunotherapy and TACE therapy
    Binghua Li, Yanchao Xu, Yican Zhu, Yukun Zhang, Zijie Wu, Tianci Luo, Laizhu Zhang, Weiwei Hu, Decai Yu
    Clinical and Molecular Hepatology.2026; 32(1): e16.     CrossRef
  • Reply to correspondence on “Molecular classification of hepatocellular carcinoma based on zoned metabolic feature and oncogenic signaling pathway”
    Eun Ji Jang, Pil Soo Sung
    Clinical and Molecular Hepatology.2026; 32(1): e115.     CrossRef
  • A novel link between tumor cell metabolism and patient prognosis: Editorial on “Molecular classification of hepatocellular carcinoma based on zoned metabolic feature and oncogenic signaling pathway”
    Eun Ji Jang, Pil Soo Sung
    Clinical and Molecular Hepatology.2026; 32(1): 420.     CrossRef
  • Zonation, Zonation, Zonation: The Real Estate of the Liver
    Tyler M. Yasaka, Chang Kyung Kim, Vik Meadows, Satdarshan P. Monga
    Annual Review of Pathology: Mechanisms of Disease .2026; 21(1): 185.     CrossRef
  • Single-cell RNA sequencing and spatial transcriptomic analysis reveal a distinct population of G6PD+ cells with aberrant bile acid metabolism in hepatocellular carcinoma
    Xing Jiang, Haiyan Quan, Ting Yin, Hailun Yao, Yajun Li, Bin Peng, Xinye Yuan, Weiguang Zeng, Honghui Chen, Rong Li
    Frontiers in Immunology.2026;[Epub]     CrossRef
  • Fluorine-18 Fluorodeoxyglucose Positron Emission Tomography: A Potential Imaging Biomarker for Predicting Response to Combination Immunotherapy in Hepatocellular Carcinoma
    Masatoshi Kudo
    Liver Cancer.2025; 14(5): 511.     CrossRef
  • 12,210 View
  • 320 Download
  • 6 Web of Science
  • Crossref

Editorial

Steatotic liver disease

The gene expression signature of metabolic dysfunction- associated steatotic liver disease from a multiomics perspective
Carlos Jose Pirola, Silvia Sookoian
Clin Mol Hepatol 2024;30(2):174-176.
Published online February 5, 2024
DOI: https://doi.org/10.3350/cmh.2024.0082

Citations

Citations to this article as recorded by  Crossref logo
  • Early portal hypertension in metabolic dysfunction-associated steatotic liver disease: a concise review
    Iván López-Méndez, Eva Juárez-Hernández, Juan Pablo Soriano-Márquez, Misael Uribe, Graciela Castro-Narro
    Expert Review of Gastroenterology & Hepatology.2025; 19(7): 755.     CrossRef
  • The effects of next generation probiotics on metabolic dysfunction-associated steatotic liver disease: a parallel, double-blind, randomized, placebo-controlled trial
    Sung-Min Won, Hyunchae Joung, In Gyu Park, Sang Hak Han, Young Lim Ham, Ji Sook Han, Yoojin Kwon, Dong Joon Kim, Ki Tae Suk
    Journal of Translational Medicine.2025;[Epub]     CrossRef
  • Correspondence on Editorial regarding “Identification of signature gene set as highly accurate determination of MASLD progression”
    Sungju Jung, Sumin Yoon, Jong Hoon Park, Yeon-Su Lee, Kyung Hyun Yoo
    Clinical and Molecular Hepatology.2024; 30(2): 287.     CrossRef
  • 5,999 View
  • 92 Download
  • 3 Web of Science
  • Crossref

Original Article

Identification of the Gene associated with Hepatocellular Carcinoma using Differential Gene Expresion
Jeong Yeob Song,Jeong Hee Choi,Kwang Jae Lee,Byung Moo Yoo,Ki Baik Hahm,Jin Hong Kim,Sung Won Cho
Korean J Hepatol 2001;7(3):265-272.
Background/Aims
It has been acknowleged that diverse factors such as Hepatitis B or C virus, alcohol, food carcinogens, and environmental or genetic factors are involved in hepatocellular carcinogenesis. In the molecular biologic aspect, suppression of tumor suppressor gene or amplification of oncogene, abnormal regulation of cell cycle-related proteins, abnormal apoptosis mechanism, and diverse growth factors are reported to be factors that contribute to hepatocellular carcinogenesis. In this study, the genetic difference between hepatocellular carcinoma tissue and surrounding non-hepatocellular carcinoma tissue has been investigated to identify genes that are deleted, diminished, amplified, or newly developed in hepatocellular carcinoma using differential gene expression.Method:We studied each of 12 biopsy samples of hepatocellular carcinoma and surrounding non-hepatocellular carcinoma tissues obtained during surgical resections. Random arbitrarily primed-polymerase chain reaction(RAP-PCR) was applied for differential gene expression. The genes that are deleted, diminished, or amplified, newly developed in hepatocellular carcinoma are cloned, sequenced, and then identified by BLAST search, some genes are characterized by eletrophoresis motility shift assay(EMSA) and in situ hybridization. Results:We identified the various, diverse genes classified as tumor suppressor genes, oncogenes, growth factor genes, and some kinds of transcription factors. Some of these genes were identified to be repressed, deleted or diminished, others were amplified, or newly developed in hepatocellular carcinoma tissues.Conclusions:RAP-PCR is a good method in the identification of the gene associated with hepatocellular carcinoma. The result in this study shows that so many genes are different between hepatocellular carcinoma and surrounding non- hepatocellular carcinoma tissues, and that the genes related with hepatocellular carcinogenesis may be predicted. Further studies are necessary for analyzing the relationship between the identification of the gene associated with hepatocellular carcinoma and the diverse factors involved in hepatocellular carcinogenesis. (Korean J Hepatol 2001;7:265-272)
  • 3,219 View
  • 15 Download
Review
Special Oromucosal Cytokine Therapy : Mechanism(s) of Action
Michael G. Tovey
Korean J Hepatol 2002;8(2):125-131.
Oromucosal cytokine therapy allows large amounts of cytokines to be administered with improved outcome and without dose limiting toxicity. Orally administered cytokines exert their effects by a novel two pronged mechanism of action. Firstly, specific populations of immuno-competent effector cells are activated in the oral cavity and migrate to the site of virus replication. Secondly, chemokines produced in the lymphoid tissue of the oral cavity enter the peripheral circulation and redirect activated lymphocytes to eliminate virus infected cells. Oromucosal IFN therapy constitutes an alternative and improved means of therapy for diseases such as chronic viral hepatitis which are currently treated parenterally with IFNα. The oral route also has obvious advantages for ease of administration and improved patient compliance. Furthermore, the availability of a well tolerated form of IFN therapy will also allow Type I IFNs to be used for the treatment of diseases such as upper respiratory tract virus infections, for which parenteral IFN therapy is currently precluded due to unacceptable toxicity.(Korean J Hepatol 2002;8:125-131)
  • 5,014 View
  • 28 Download