Evidence map›Paper›PMID 42226281›Full record

ArticleMolecular cancer2026

Multimodal sequencing identifies synergistic mechanisms driving resistance to neoadjuvant nivolumab treatment in hepatocellular carcinoma.

Fanhong Zeng, Jiaxin Guo, Zheng Zeng, Vanilla Xin Zhang, Yu-Man Tsui, Po-Man Li, Abdullah Husain, Qingyang Zhang, Joyce Man-Fong Lee, Tan-To Cheung and 2 more

Erratum issuedAbstract read
In one paragraph

Article in Molecular cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Fanhong ZengDepartment of Pathology, The University of Hong Kong, Hong Kong, China.
Jiaxin GuoDepartment of Pathology, The University of Hong Kong, Hong Kong, China.
Zheng ZengDepartment of Pathology, The University of Hong Kong, Hong Kong, China.
Vanilla Xin ZhangDepartment of Pathology, The University of Hong Kong, Hong Kong, China.
Yu-Man TsuiDepartment of Pathology, The University of Hong Kong, Hong Kong, China.
Po-Man LiDepartment of Pathology, The University of Hong Kong, Hong Kong, China.
Abdullah HusainDepartment of Pathology, The University of Hong Kong, Hong Kong, China.
Qingyang ZhangDepartment of Pathology, The University of Hong Kong, Hong Kong, China.
Joyce Man-Fong LeeDepartment of Pathology, The University of Hong Kong, Hong Kong, China.
Tan-To CheungState Key Laboratory of Liver Research, The University of Hong Kong, Hong Kong, China.
Daniel Wai-Hung HoDepartment of Pathology, The University of Hong Kong, Hong Kong, China. dwhho@hku.hk.
Irene Oi-Lin NgDepartment of Pathology, The University of Hong Kong, Hong Kong, China. iolng@hku.hk.ORCID http://orcid.org/0000-0001-7532-2029

Funding

Hong Kong Research Grants Council (RGC) General Research Fund 17100021 & 17117019Innovation and Technology Commission grant to the State Key Laboratory of Liver Research of the University of Hong Kong ITC PD/17-9NSFC grant 82394451RGC Collaborative Research Fund C5017-24GRGC Theme-based Research Scheme T12-716/22-Rthe Health and Medical Research Fund 10212956 & 07182546
6 · The paper itself

Abstract

The tumor immune microenvironment (TIME) critically modulates therapeutic responses to immune checkpoint inhibitors (ICIs) in hepatocellular carcinoma (HCC). Relative to the other solid tumors, HCC is characterized by more pronounced intratumoral heterogeneity and has comparatively poorer responsiveness to ICI blockade treatment. Importantly, the correlation of the underlying mechanism of TIME and the molecular underpinnings of immunotherapy resistance in HCC remains elusive. Employing an integrative multi-omics approach, including spatially resolved transcriptomics, single-cell and bulk RNA sequencing, and lipidomics, we delineated the spatiotemporal dynamics and mechanistic basis of resistance to anti-PD-1 therapy in HCC. Our analyses revealed a profoundly immunosuppressive TIME in non-responsive patients, marked by sparse immune cell infiltration within the tumor niche, in contrast to the immune-inflamed TIME observed in the responders. Multidimensional profiling further uncovered dysregulated lipogenesis and aberrant lipid accumulation in tumor cells of the non-responder cases. Notably, tumor-associated macrophages (TAMs), exhausted CD8 T cells, and lipid-enriched tumor cells co-localize at the tumor-immune interface, forming a physical and functional barrier that precludes effective immune cell infiltration into the tumor niche. We also identified the pivotal TAM-tumor cell crosstalk via the ADM-RAMP1-EBP signaling axis, orchestrating lipid metabolism reprogramming and contributing to the attenuated PD-1 therapeutic efficacy. Collectively, these findings provide a comprehensive mechanistic framework for anti-PD1 resistance, unveiling actionable biomarkers and a translational vulnerability to enhance precision therapeutics in HCC.

Indexed as

Antineoplastic Agents, ImmunologicalCarcinoma, HepatocellularDrug Resistance, NeoplasmLiver NeoplasmsNivolumabAnimalsBiomarkers, TumorGene Expression ProfilingGene Expression Regulation, NeoplasticHumansImmune Checkpoint InhibitorsNeoadjuvant TherapyTumor-Associated MacrophagesTumor MicroenvironmentAntineoplastic Agents, ImmunologicalBiomarkers, TumorImmune Checkpoint InhibitorsNivolumabImmunotherapyLipid metabolismLiver cancerSpatial transcriptomics

Identifiers

PMID42226281
PMCPMC13449566

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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.