Evidence map›Paper›PMID 41034982›Full record

ArticleJournal of translational medicine2025

Integrated single-cell RNA-seq analysis reveals that EZH2 regulates the MIF-CD74 axis to modulate T cell activation and exhaustion in hepatocellular carcinoma.

Yangyang Zhou, Yi Xu, Mengfan Ye, Jiayi Xing, Di Chen, Al-Ameer Wail Hussein Ahmed, Al-Rahabi Rehab Abdullah Mohammed Ali, Chenwei Pan, Xiangchou Yang, Zan Shen

Abstract read
In one paragraph

Article in Journal of translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

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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

10 authors.

Yangyang Zhou *Department of Oncology, Shanghai Sixth People's Hospital Affiliated to Shanghai JiaoTong University School of Medicine, Shanghai, 200030, China.
Yi Xu *Department of Oncology, Shanghai Sixth People's Hospital Affiliated to Shanghai JiaoTong University School of Medicine, Shanghai, 200030, China.
Mengfan Ye *Department of Hematology and Medical Oncology, The Second Affiliated Hospital &Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China.
Jiayi XingDepartment of Infectious Disease, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China.
Di ChenDepartment of Infectious Disease, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China.
Al-Ameer Wail Hussein AhmedDepartment of Hematology and Medical Oncology, The Second Affiliated Hospital &Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China.
Al-Rahabi Rehab Abdullah Mohammed AliDepartment of Hematology and Medical Oncology, The Second Affiliated Hospital &Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China.
Chenwei PanDepartment of Infectious Disease, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China. panchenwei106@163.com.
Xiangchou YangDepartment of Hematology and Medical Oncology, The Second Affiliated Hospital &Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China. yangxiangchou@163.com.ORCID 0000-0002-9312-3290
Zan ShenDepartment of Oncology, Shanghai Sixth People's Hospital Affiliated to Shanghai JiaoTong University School of Medicine, Shanghai, 200030, China. sshenzzan@vip.sina.com.

Funding

National key research and development program of China 2023YFC2411405National Natural Science Foundation of China 81772521
6 · The paper itself

Abstract

backgroundHepatocellular carcinoma (HCC) is a highly lethal malignancy characterized by a complex pathological mechanism involving multiple genes and progressive stages. The efficacy of targeted and immunotherapy remains limited, highlighting the urgent need for a reliable model to predict prognosis and response to immune checkpoint inhibitors (ICIs).

methodsWe developed an integrated model based on genes related to autophagy, senescence, dormancy, mitochondrial function, and tumor stemness. The predictive capability of this model for HCC prognosis and ICI response was evaluated. Single-cell transcriptomic analysis and immunocompetent mouse models were further utilized to elucidate the role of model-associated genes in regulating the tumor immune microenvironment.

resultsA 16-gene integrated model was constructed using genes associated with mitochondrial function, autophagy, dormancy, stemness, and senescence. This model demonstrated robust predictive power for HCC prognosis and ICI responsiveness. Single-cell trajectory analysis revealed that EZH2 plays a crucial role in immune cell infiltration, activation, and HCC progression. Additionally, in vivo mouse models further indicated that EZH2 may regulate CD8

conclusionThe integrated model holds potential as a prognostic and predictive tool for HCC immunotherapy. EZH2 may influence CD8

Indexed as

Antigens, Differentiation, B-LymphocyteCarcinoma, HepatocellularEnhancer of Zeste Homolog 2 ProteinHistocompatibility Antigens Class IILiver NeoplasmsLymphocyte ActivationMacrophage Migration-Inhibitory FactorsRNA-SeqSingle-Cell AnalysisT-LymphocytesAnimalsCD8-Positive T-LymphocytesCell Line, TumorGene Expression Regulation, NeoplasticHumansMiceAntigens, Differentiation, B-LymphocyteEnhancer of Zeste Homolog 2 ProteinEZH2 protein, humanHistocompatibility Antigens Class IIinvariant chainMacrophage Migration-Inhibitory FactorsHepatocellular carcinomaImmune responseIntegrated modelSingle-cell sequencing

Identifiers

PMID41034982
PMCPMC12487417

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Registered trials

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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.