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Molecular classification of hepatocellular carcinoma based on zoned metabolic feature and oncogenic signaling pathway

肝细胞癌 癌症研究 信号转导 代谢途径 特征(语言学) 医学 生物 病理 计算生物学 内科学 细胞生物学 新陈代谢 语言学 哲学
作者
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
出处
期刊:Clinical and molecular hepatology [Korean Association for the Study of the Liver]
卷期号:31 (3): 981-1002 被引量:8
标识
DOI:10.3350/cmh.2024.1088
摘要

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. CONCLUSION: 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.
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