Evidence map›Paper›PMID 40065709›Full record

ArticleClinical and molecular hepatology2025

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 and 11 more

Abstract read
In one paragraph

Article in Clinical and molecular hepatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

21 authors.

Tomoko AokiDepartment of Gastroenterology and Hepatology, Kindai University Faculty of Medicine, Osaka-Sayama, Japan.
Naoshi NishidaDepartment of Gastroenterology and Hepatology, Kindai University Faculty of Medicine, Osaka-Sayama, Japan.
Yutaka KurebayashiDepartment of Pathology, Keio University School of Medicine, Tokyo, Japan.
Kazuko SakaiDepartment of Genome Biology, Kindai University Faculty of Medicine, Osaka, Japan.
Naoto FujiwaraDepartment of Gastroenterology and Hepatology, Mie University, Tsu, Japan.
Masakatsu TsurusakiDepartment of Radiology, Kansai Medical University Medical Center, Osaka, Japan.
Kohei HanaokaInstitute of Advanced Clinical Medicine, Kindai University, Osaka, Japan.
Masahiro MoritaDepartment of Gastroenterology and Hepatology, Kindai University Faculty of Medicine, Osaka-Sayama, Japan.
Hirokazu ChishinaDepartment of Gastroenterology and Hepatology, Kindai University Faculty of Medicine, Osaka-Sayama, Japan.
Masahiro TakitaDepartment of Gastroenterology and Hepatology, Kindai University Faculty of Medicine, Osaka-Sayama, Japan.
Satoru HagiwaraDepartment of Gastroenterology and Hepatology, Kindai University Faculty of Medicine, Osaka-Sayama, Japan.
Hiroshi IdaDepartment of Gastroenterology and Hepatology, Kindai University Faculty of Medicine, Osaka-Sayama, Japan.
Kazuomi UeshimaDepartment of Gastroenterology and Hepatology, Kindai University Faculty of Medicine, Osaka-Sayama, Japan.
Yasunori MinamiDepartment of Gastroenterology and Hepatology, Kindai University Faculty of Medicine, Osaka-Sayama, Japan.
Atsushi TakebeDepartment of Surgery, Faculty of Medicine, Kindai University, Osaka, Japan.
Takaaki MuraseDepartment of Surgery, Faculty of Medicine, Kindai University, Osaka, Japan.
Keiko KameiDepartment of Surgery, Faculty of Medicine, Kindai University, Osaka, Japan.
Takuya NakaiDepartment of Surgery, Faculty of Medicine, Kindai University, Osaka, Japan.
Ippei MatsumotoDepartment of Surgery, Faculty of Medicine, Kindai University, Osaka, Japan.
Kazuto NishioDepartment of Genome Biology, Kindai University Faculty of Medicine, Osaka, Japan.
Masatoshi KudoDepartment of Gastroenterology and Hepatology, Kindai University Faculty of Medicine, Osaka-Sayama, Japan.

Funding

Japan Society for the Promotion of Science 21K07184Japan Society for the Promotion of Science 24K10393SRF
6 · The paper itself

Abstract

BACKGROUND/

aimsPreviously, 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.

methodsComprehensive 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.

resultsLiver-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.

conclusionThe 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.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsSignal Transductionbeta CateninFemaleGlycolysisHumansLiverMaleMiddle Agedbeta CateninCarcinoma, hepatocellularCell differentiationGene expression profilingGlycolysisMetabolism

Identifiers

PMID40065709
PMCPMC12260619

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.