Evidence map›Paper›PMID 40144466›Full record

ReviewLiver cancer2025

The Impact of Normal Hepatobiliary Cell Zonation Programs on the Phenotypes and Functions of Primary Liver Tumors.

Tomoko Aoki, Naoshi Nishida, Yasunori Minami, Masatoshi Kudo

Abstract readReview
In one paragraph

Review in Liver cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 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.
Yasunori MinamiDepartment of Gastroenterology and Hepatology, Kindai University Faculty of Medicine, Osaka-Sayama, Japan.
Masatoshi KudoDepartment of Gastroenterology and Hepatology, Kindai University Faculty of Medicine, Osaka-Sayama, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Traditional tumor classifications have relied on cellular origin, pathological morphological features, gene expression profiles, and more recently, the tumor immune microenvironment. While these classifications provide valuable insights, incorporating physiological classifications focusing on liver metabolic functions may lead to new discoveries. Summary: We proposed to reclassify benign and malignant hepatocellular neoplasms based on their physiological functions such as albumin production, bile acid production, glycolysis, glycogenesis, and adipogenesis. We further demonstrated the homology between signal pathways activated by the differentiation program of the normal hepatobiliary cells and those activated by genetic abnormalities in tumors. Specifically, Wnt/β-catenin, RAS, NOTCH, and TGF-β signaling not only contribute to cell differentiation via activation of liver-enriched transcription factors but also determine the tumor traits. Examining the distinctions between hepatocellular carcinomas (HCCs) that maintain or lose metabolic functions can yield valuable insights into the drivers of biological malignancy and tumor plasticity. Key Messages: To confirm the homology between the differentiation programs of normal hepatobiliary cells, hepatocellular adenomas (HCA), and HCC we identify liver-specific functions such as catabolism and anabolism within tumors. HCCs and HCAs that have lost these metabolic functions exhibit characteristics such as dedifferentiation, resemblance to biliary cells, or increased glycolysis. Focusing on this underexplored area will likely stimulate active research into new tumor characteristics.

Indexed as

Bile acids and saltsCell differentiationHepatocellular carcinomaMetabolismZonation program

Identifiers

PMID40144466
PMCPMC11936443

What OpenQuestion holds

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Registered trials

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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.