Evidence map›Paper›PMID 42346124›Full record

ReviewCells2026

Immunotherapy and Hepatocellular Carcinoma: From Tumor-Immune Cell Interactions to Rational Therapeutic Strategies.

Kizuki Yuza, Timothy M Pawlik

Abstract readReview
In one paragraph

Review in Cells, 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.

Kizuki YuzaDepartment of Surgery, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, OH 43210, USA.ORCID 0009-0001-2899-4030
Timothy M PawlikDepartment of Surgery, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, OH 43210, USA.ORCID 0000-0002-7994-9870

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) remains one of the leading causes of cancer-related death worldwide, and first-line systemic treatment has shifted toward immune checkpoint inhibitor (ICI)-based combinations. Response is heterogeneous, and mechanistic interpretation has lagged behind clinical practice, leaving open the question of why some tumors respond while others do not. This review uses the cancer immunity cycle as an HCC-specific scaffold to map where anti-tumor immunity fails-across priming, trafficking, suppressive myeloid or stromal, and metabolic-hypoxic barriers-and interpret combination strategies and resistance through the dominant barrier each tumor presents. ICI monotherapy rescues only specific failure points within the cycle. Combination regimens may be more effective when they are matched to one or more dominant barriers, whereas response may fail when the selected partner addresses only a secondary barrier while the dominant ecological constraint remains intact. Resistance can be similarly organized into tumor cell autonomous, microenvironmental, treatment-induced, and etiology-specific layers, with disease etiology shaping both baseline immune ecology and therapy-context vulnerability. A mechanism-based, biomarker-guided, and etiology-aware framework may help move the field from broad empiricism toward precision immunotherapy, but it should be viewed as a conceptual and translational organizing model that requires prospective testing in biomarker-stratified studies.

Indexed as

Carcinoma, HepatocellularCell CommunicationImmunotherapyLiver NeoplasmsAnimalsHumansImmune Checkpoint InhibitorsTumor MicroenvironmentImmune Checkpoint Inhibitorscancer immunity cyclecombination immunotherapyhepatocellular carcinomaimmune checkpoint inhibitorprecision immunotherapyresistancetumor microenvironment

Identifiers

PMID42346124
PMCPMC13297510

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.