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"Masahiro Morita"

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"Masahiro Morita"

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.
Results
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
  • Overexpression of S100 Calcium-Binding Protein A2 is Associated With Poor Prognosis in Hepatocellular Carcinoma
    Xiaopeng Chen, Shaoqing Ma, Wenlong Zeng, Chuiguo Huang, Jianyang Guo
    Cancer Control.2026;[Epub]     CrossRef
  • Correspondence to letter to the editor 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(2): e241.     CrossRef
  • Critical flaws in the molecular classification of HCC based on metabolic zonation: Letter to the editor on “Molecular classification of hepatocellular carcinoma based on zoned metabolic feature and oncogenic signaling pathway”
    Yongzhi Xie, Xiangyu Zhu, Qi Liang
    Clinical and Molecular Hepatology.2026; 32(2): e144.     CrossRef
  • Clinical applications of immunogenomics in hepatocellular carcinoma
    James K. Carter, Daniel C. Cameron, Augusto Villanueva
    Clinical and Molecular Hepatology.2026; 32(2): 511.     CrossRef
  • Unveiling the Intricate Dance: Signaling Pathways in Liver Cancer Metabolism and Immunity
    Yichi Xu, Bo Wen, Dai Zhang, Fangxin Tang, Shu Liu
    Current Oncology Reports.2026;[Epub]     CrossRef
  • Clinical Prediction of Glycolysis-Driven Molecular Subclass of Hepatocellular Carcinoma without Transcriptomic Profiling
    Tomoko Aoki, Masatoshi Kudo, Satoshi Ogiso, Genki Okumura, Megumi Hoshino, Yuka Nakamura, Ryo Morisue, Shohei Koyama, Naoshi Nishida, Kohei Hanaoka, Kazuko Sakai, Yutaka Kurebayashi, Masakatsu Tsurusaki, Masahiro Morita, Atsushi Takebe, Takaaki Murase, Ke
    Liver Cancer.2026; : 1.     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
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