Evidence map›Paper›PMID 42678415›Full record

ReviewVirchows Archiv : an international journal of pathology2026

Integration of histopathology and molecular features for the classification of benign and malignant hepatocellular neoplasms.

Christine Sempoux, Young Nyun Park

Abstract readReview
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In one paragraph

Review in Virchows Archiv : an international journal of pathology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Christine SempouxInstitute of Pathology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Young Nyun ParkDepartment of Pathology, Yonsei University College of Medicine, 50-1 Yonsei-Ro, Seodaemun-Gu, Seoul, 03722, Republic of Korea. young0608@yuhs.ac.ORCID http://orcid.org/0000-0003-0357-7967

Funding

the National Research Foundation of Korea (NRF) RS-2026-25468517
6 · The paper itself

Abstract

The diagnostic of hepatocellular adenoma (HCA) and hepatocellular carcinoma (HCC) has shifted from a classical morphological evaluation to a complex and precise morpho-molecular analysis that represents a core focus of the updated 6th edition of the WHO classification of digestive system tumours. Four molecular pathways across five distinct subtypes have been identified for HCA, with clinical implications. When specific immunohistochemical and molecular techniques are applied, less than 5% of HCAs remain unclassified. At least 39% of progressed HCCs display unique morpho-molecular characteristics spanning nine distinct subtypes, while the remainder is classified as conventional HCC (cHCC). These subtypes encompass categories with a poor prognosis (macrotrabecular-massive, neutrophil-rich, and sarcomatoid), a favorable prognosis (lymphocyte-rich and clear cell), a variable prognosis (scirrhous), and a prognosis similar to cHCC (steatohepatitic, chromophobe, and fibrolamellar). Recently, two novel histological patterns have been introduced: the vessels encapsulating tumour clusters pattern and the CTNNB1-mutated pattern. Moreover, keratin 19 remains a well-established immunohistochemical marker strongly associated with a poor prognosis. Together, these advancements underscore the critical need to integrate molecular and histological data to optimize patient stratification and therapeutic outcomes.

Indexed as

Glutamine synthetaseHepatocellular adenomaHepatocellular carcinomaKeratin 19Macrotrabecular massiveVessels encapsulating tumour clusters

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.