Evidence map›Paper›PMID 42866242›Full record

ReviewFrontiers in oncology2026

Precision surgical oncology for hepatocellular carcinoma.

Takehiro Okabayashi, Motoyasu Tabuchi, Teppei Tokumaru, Sunao Uemura, Shuta Tamura

Abstract readReview
In one paragraph

Review in Frontiers in oncology, 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

5 authors.

Takehiro OkabayashiDepartment of Gastroenterological Surgery, Kochi Health Sciences Center, Kochi, Japan.
Motoyasu TabuchiDepartment of Gastroenterological Surgery, Kochi Health Sciences Center, Kochi, Japan.
Teppei TokumaruDepartment of Gastroenterological Surgery, Kochi Health Sciences Center, Kochi, Japan.
Sunao UemuraDepartment of Gastroenterological Surgery, Kochi Health Sciences Center, Kochi, Japan.
Shuta TamuraDepartment of Gastroenterological Surgery, Kochi Health Sciences Center, Kochi, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is a heterogeneous tumor-liver-host disease in which treatment selection depends on tumor burden, liver function, portal hypertension, performance status, and patient preferences. Although hepatic resection and other established treatment modalities remain central to curative and disease-controlling strategies, emerging biological and digital technologies may provide additional information beyond conventional clinical assessment. However, their prognostic performance does not necessarily establish clinical utility, and many remain insufficiently validated for routine treatment selection. This narrative review examines the evolving role of precision-oriented approaches in HCC, including molecular and immune profiling, radiomics, circulating tumor DNA, artificial intelligence, and digital pathology. We classify these approaches into three evidence tiers: established clinical practice, investigational clinical tools, and future hypotheses. We then propose Precision Surgical Oncology as an author-developed, hypothesis-generating framework in which guideline-based assessment is followed by biological and host-risk refinement, multidisciplinary interpretation, individualized treatment within established therapeutic pathways, and longitudinal reassessment. Precision Surgical Oncology is intended to complement, rather than replace, evidence-based HCC management. Its future clinical value will depend on prospective validation, reproducibility, defined clinical actionability, equitable implementation, and demonstration of improved patient outcomes.

Indexed as

artificial intelligencedigital twinhepatocellular carcinomaliquid biopsyprecision surgical oncologyradiomics

Identifiers

PMID42866242
PMCPMC13655921

What OpenQuestion holds

Textmetadata
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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.