Evidence map›Paper›PMID 41327189›Full record

ArticleJournal of translational medicine2025

EMP1 + hepatic stellate cells drive hepatic fibrosis progression to hepatocellular carcinoma and predict prognosis.

Jie You, Yihuan Huang, Chenhao Jiang, Jiaqi Xiao, Jiebin Zhang, Yasong Liu, Xin Sui, Yingcai Zhang, Jia Yao, Tongyu Lu

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. Not yet cited in PubMed.

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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

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3 · Its place in the literature

Who cites it

0 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.

Jie You *Department of Hepatic Surgery and Liver Transplantation Center, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Yihuan Huang *Department of Hepatic Surgery and Liver Transplantation Center, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Chenhao Jiang *Department of Hepatic Surgery and Liver Transplantation Center, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Jiaqi XiaoDepartment of Hepatic Surgery and Liver Transplantation Center, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Jiebin ZhangDepartment of Hepatic Surgery and Liver Transplantation Center, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Yasong LiuDepartment of Hepatic Surgery and Liver Transplantation Center, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Xin SuiSurgical ICU, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Yingcai ZhangDepartment of Hepatic Surgery and Liver Transplantation Center, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China. zhangyc3@mail.sysu.edu.cn.
Jia YaoDepartment of Hepatic Surgery and Liver Transplantation Center, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China. yaojia6@mail.sysu.edu.cn.
Tongyu LuDepartment of Hepatic Surgery and Liver Transplantation Center, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China. luty7@mail.sysu.edu.cn.ORCID http://orcid.org/0009-0000-9812-5415

Funding

Guangdong Province (2025A03J3197), Guangzhou Basic and Applied Basic Research Project Co-funded by Municipal Schools (institutes) 2024B03J1382Guangzhou Basic and Applied Basic Research Project Co-funded by Municipal Schools (institutes) 2025A03J3197Key Laboratory of South China Sea Fishery Resources Exploitation and Utilization, Ministry of Agriculture and Rural Affairs, P. R. China 2024B03J1382National Natural Science Foundation of China 82270689, 82460139Natural Science Foundation of Guangdong Province 2025A1515012606Science and Technology Department of Xinjiang Uygur Autonomous Region 20240101Science and Technology Department of Xinjiang Uygur Autonomous Region 2024D01E21
6 · The paper itself

Abstract

backgroundHepatic fibrosis is a pathological response to chronic liver injury that results in accumulation of extracellular matrix proteins leading to fibrous scarring, which can further lead to hepatocellular carcinoma (HCC). Although several clinical approaches have been applied to the diagnosis and treatment of hepatic fibrosis and HCC, the clinical prognosis and precision of targeted therapies still face great challenges.

methodsIn this study, we integrated multi-omics data to identify functional subpopulations of hepatic stellate cells (HSCs) closely associated with hepatic fibrosis and HCC. Based on this, differential genes derived from single-cell and bulk transcriptomic analyses were used to construct and validate a clinical prognostic model using 101 machine learning algorithms. Furthermore, we explored the expression heterogeneity of core prognostic genes (CPGs) and their correlation with clinical outcomes. A comprehensive network pharmacology analysis was also conducted to identify potential drugs targeting these genes, aiming to discover novel targeted therapeutic strategies.

resultsWe identified a specific functional subpopulation of HSCs, characterized by EMP1 expression (EMP1 + HSCs), and elucidated the cellular functional pathways through which EMP1 + HSCs contribute to the progression from hepatic fibrosis to HCC. Subsequently, we identified and evaluated four CPGs-NPY1R, CTHRC1, IGFBP3, and ADH1B-for their expression heterogeneity and prognostic significance along the fibrosis-to-HCC axis, with biological validation at the proteomic level. Finally, network pharmacology analysis identified Salvia miltiorrhiza (Danshen) as a potential therapeutic agent targeting all four CPGs, offering a new direction for the treatment of hepatic fibrosis and HCC.

conclusionThis study, through the integration of multi-omics data, establishes EMP1 as a reliable marker of activated HSCs. The genes NPY1R, CTHRC1, IGFBP3, and ADH1B play critical regulatory roles and exhibit prognostic value in the progression from hepatic fibrosis to HCC. Our findings provide novel insights and therapeutic targets for the use of Salvia miltiorrhiza in treating hepatic fibrosis and HCC.

Indexed as

Carcinoma, HepatocellularDisease ProgressionHepatic Stellate CellsLiver CirrhosisLiver NeoplasmsMembrane GlycoproteinsGene Expression ProfilingGene Expression Regulation, NeoplasticHumansPrognosisReproducibility of ResultsMembrane GlycoproteinsBioinformaticsEMP1Hepatic fibrosisHepatocellular carcinomaPrediction modelTreatment

Identifiers

PMID41327189
PMCPMC12777048

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.