Evidence map›Paper›PMID 42096911›Full record

ArticleJHEP reports : innovation in hepatology2026

IL4I1+ macrophages drive hepatocellular carcinoma progression by responding to biomechanical cues.

Shiying Zhou, Rui Liang, Pinjun Lu, Wenjun Wang, Xiang Li, Hao Yuan, Tao He, Zhengdong Ai

Abstract read
In one paragraph

Article in JHEP reports : innovation in hepatology, 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

8 authors.

Shiying ZhouSchool of Basic Medical Sciences, Southwest Medical University, Luzhou, Sichuan, China.
Rui LiangCollege of Bioengineering, Chongqing University, Chongqing, China.
Pinjun LuSchool of Basic Medical Sciences, Southwest Medical University, Luzhou, Sichuan, China; Institute for Cancer Medicine, School of Basic Medical Sciences, Southwest Medical University, Luzhou, Sichuan, China.
Wenjun WangSchool of Basic Medical Sciences, Southwest Medical University, Luzhou, Sichuan, China; Institute for Cancer Medicine, School of Basic Medical Sciences, Southwest Medical University, Luzhou, Sichuan, China.
Xiang LiSchool of Basic Medical Sciences, Southwest Medical University, Luzhou, Sichuan, China; Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Southwest Medical University, Luzhou, Sichuan, China.
Hao YuanSpinal Surgery Department, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China.
Tao HeSchool of Basic Medical Sciences, Southwest Medical University, Luzhou, Sichuan, China; Institute for Cancer Medicine, School of Basic Medical Sciences, Southwest Medical University, Luzhou, Sichuan, China. Electronic address: hetao198@swmu.edu.cn.
Zhengdong AiSchool of Basic Medical Sciences, Southwest Medical University, Luzhou, Sichuan, China; Institute for Cancer Medicine, School of Basic Medical Sciences, Southwest Medical University, Luzhou, Sichuan, China. Electronic address: azd@swmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND &

aimsThe tumor microenvironment undergoes dynamic biomechanical alterations during hepatocellular carcinoma (HCC) progression. However, the identification and characterization of biomechanically specialized macrophage subsets remains unexplored.

methodsIn this study, single-cell RNA sequencing and spatial transcriptomics were used to characterized the spatial distribution patterns, phenotypic plasticity, and mechanoresponsive behaviors of IL4I1+ macrophages. Atomic force microscopy revealed substantial biomechanical heterogeneity within HCC tissues. Complementary in vitro and in vivo mechanobiology models demonstrated that macrophages dynamically respond to biomechanical cues and actively promote HCC progression. Furthermore, using a multimodal drug discovery platform combined with experimental validation, we elucidated IL4I1+ macrophages as a critical therapeutic target for HCC.

resultsOur findings demonstrate that IL4I1+ macrophages exhibit a distinct mechanosensitive phenotype capable of dynamically responding to biomechanical cues. Biomechanical-driven-IL4I1+ macrophages promote HCC progression by orchestrating multifaceted oncogenic programs, including enhanced tumor cell proliferation (n = 3, p <0.05), migratory capacity (n = 3, p <0.01), stem-like properties (n = 6, p <0.001), and immune evasion potential. SB505124 treatment significantly attenuated HCC progression in preclinical models, concomitant with a reduction in IL4I1+ macrophages (n = 5, p <0.001).

conclusionsOur study established that IL4I1 IMPACT AND IMPLICATIONS: The tumor microenvironment undergoes dynamic biomechanical changes in HCC progression. However, biomechanically responsive macrophage subsets remain poorly characterized. Here, we identify IL4I1+ macrophages as a biomechanics-sensing subpopulation that promotes HCC progression by fostering an immunosuppressive microenvironment and enhancing tumor proliferation, migration, and stemness. Our study unveils a novel mechanism by which macrophages regulate tumor progression from a biomechanical perspective and proposes a potential therapeutic strategy via targeted inhibition of IL4I1+ macrophages.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsMacrophagesAnimalsBiomechanical PhenomenaCell ProliferationDisease ProgressionHumansMaleMiceTumor MicroenvironmentBiomechanicaldrug screeningHepatocellular carcinomaHeterogeneityInterleukin 4 induced 1Machine learningMulti-omicsSB505124

Identifiers

PMID42096911
PMCPMC13158414

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.