Evidence map›Paper›PMID 39914372›Full record

ArticleClinical and molecular hepatology2025

GULP1 as a novel diagnostic and predictive biomarker in hepatocellular carcinoma.

Hyung Seok Kim, Jung Hwan Yoon, Ji Yi Choi, Moon Gyeong Yoon, Geum Ok Baek, Minji Kang, Se Ha Jang, Won Park, Yunjin Go, Jestlin Tianthing Ng and 8 more

Abstract read
In one paragraph

Article in Clinical and molecular hepatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

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  13. Serum Proteomic Profile Based on the TGF-β Pathway Stratifies Risk of Hepatocellular Carcinoma.Liver international : official journal of the International Association for the Study of the Liver · 2025
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors.

Hyung Seok KimDepartment of Biochemistry, College of Medicine, Kosin University, Busan, Korea.
Jung Hwan YoonDepartment of Pathology, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Ji Yi ChoiDepartment of Gastroenterology, Ajou University School of Medicine, Suwon, Korea.
Moon Gyeong YoonDepartment of Gastroenterology, Ajou University School of Medicine, Suwon, Korea.
Geum Ok BaekDepartment of Gastroenterology, Ajou University School of Medicine, Suwon, Korea.
Minji KangDepartment of Gastroenterology, Ajou University School of Medicine, Suwon, Korea.
Se Ha JangDepartment of Gastroenterology, Ajou University School of Medicine, Suwon, Korea.
Won ParkDepartment of Bioscience and Biotechnology, Graduate School, Chungnam National University, Daejeon, Korea.
Yunjin GoDepartment of Biomedical Sciences, Ajou University Graduate School of Medicine, Suwon, Korea.
Jestlin Tianthing NgDepartment of Biomedical Sciences, Ajou University Graduate School of Medicine, Suwon, Korea.
Suk Woo NamDepartment of Pathology, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Jee-Yeong JeongDepartment of Biochemistry, College of Medicine, Kosin University, Busan, Korea.
Ji Eun HanDepartment of Gastroenterology, Ajou University School of Medicine, Suwon, Korea.
Hyo Jung ChoDepartment of Gastroenterology, Ajou University School of Medicine, Suwon, Korea.
Su Bin LimDepartment of Biochemistry and Molecular Biology, Ajou University School of Medicine, Suwon, Korea.
Soon Sun KimDepartment of Gastroenterology, Ajou University School of Medicine, Suwon, Korea.
Jae Youn CheongDepartment of Gastroenterology, Ajou University School of Medicine, Suwon, Korea.
Jung Woo EunDepartment of Gastroenterology, Ajou University School of Medicine, Suwon, Korea.

Funding

Commercialization Promotion AgencyKorea Health Industry Development InstituteMinistry of Health and Welfare HR21C1003Ministry of Science and ICT RS-2024-00422549National Research Foundation of Korea 2022R1A2C2092422National Research Foundation of Korea RS-2023-00210847
6 · The paper itself

Abstract

BACKGROUND/

aimsHepatocellular carcinoma (HCC) is characterized by high recurrence and mortality, necessitating the identification of reliable biomarkers. In this study, we aimed to identify the predictive gene signatures for HCC recurrence and evaluate the efficiency of GULP PTB domain-containing engulfment adaptor 1 (GULP1) as a predictive and diagnostic marker and therapeutic target for HCC.

methodsWe analyzed genomic datasets from The Cancer Genome Atlas and Gene Expression Omnibus databases via least absolute shrinkage and selection operator Cox regression and 10-fold cross-validation, leading to the development of a 15-gene risk score model, which was validated using three independent datasets. Serum GULP1 and α-fetoprotein levels were assessed to determine the diagnostic accuracy of the model. Using clinical cohorts and patient sera, GULP1 roles were examined, and functional assays in vitro and in vivo were used to evaluate its effects on cell growth, epithelial-mesenchymal transition (EMT), ADP-ribosylation factor 6 (ARF6) activation, and β-catenin signaling.

resultsOur newly developed risk-score model accurately predicted recurrent HCC in all datasets. Among the 15 genes in the risk score model, GULP1 was overexpressed in patients with HCC and independently predicted HCC recurrence. Its expression modulation influenced cell growth and EMT, with observed effects on ARF6 activation and β-catenin signaling pathways.

conclusionGULP1 is a crucial biomarker for HCC, serving as a non-invasive diagnostic and predictive tool. It also plays key roles in HCC progression. Our findings highlight the potential use of GULP1 in treatment strategies targeting EMT and HCC recurrence to improve the personalized care and patient outcomes.

Indexed as

Adaptor Proteins, Signal TransducingBiomarkers, TumorCarcinoma, HepatocellularLiver NeoplasmsADP-Ribosylation Factorsalpha-FetoproteinsAnimalsbeta CateninCell Line, TumorCell ProliferationEpithelial-Mesenchymal TransitionFemaleGene Expression Regulation, NeoplasticHumansMaleMiceAdaptor Proteins, Signal TransducingADP-Ribosylation Factorsalpha-Fetoproteinsbeta CateninBiomarkers, TumorDiagnosisGULP PTB domain-containing engulfment adaptor 1Liver cancerMetastasisRecurrence

Identifiers

PMID39914372
PMCPMC12260647

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LicenceCC BY-NC
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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.