Evidence map›Paper›PMID 41938513›Full record

ArticleInternational journal of medical sciences2026

The efferocytosis-related genes of SLC26A6, TYRO3, and PDK4 have been identified as predictors of prognosis in hepatocellular carcinoma and are associated with the immune status.

Jiao-Jiao Yang, Qing Ouyang, Xin-Xin Zeng, Wen-Jian Cen, Ling Deng, Gao-Ping Song, Fang Wang, Li-Yue Sun

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Article in International journal of medical sciences, 2026. 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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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Jiao-Jiao YangDepartment of Oncology, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, Guangdong, China.
Qing OuyangDepartment of Hepatobiliary, General Hospital of Southern Theatre Command of PLA, Guangzhou, China.
Xin-Xin ZengSecond Department of Oncology, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, China.
Wen-Jian CenDepartment of Molecular Diagnostics, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China.
Ling DengDepartment of Molecular Diagnostics, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China.
Gao-Ping SongDepartment of Health Management Centre, Zhongshan Hospital, Fudan University, China.
Fang WangDepartment of Molecular Diagnostics, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China.
Li-Yue SunDepartment of Health Management Centre, The First Affiliated Hospital of Jinan University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Efferocytosis plays a critical role in clearing apoptotic tumor cells and suppressing inflammation in hepatocellular carcinoma (HCC). This study aimed to identify efferocytosis-related genes (ERGs) with prognostic value and develop a predictive model for HCC outcomes. Methods: Using public HCC transcriptomic and clinical data, we identified 13 differentially expressed ERGs (DE-ERGs) from 3,866 DEGs and 74 known ERGs. Cox regression analysis selected SLC26A6, TYRO3, and PDK4 as key prognostic genes for risk model construction. The model, combined with pathologic T stage in a nomogram, showed high predictive accuracy for patient survival. Results: Totally 13 DE-ERGs were gained by overlapping 3,866 DEGs and 74 ERGs, and SLC26A6, TYRO3, and PDK4 were identified as prognosis genes for constructing a risk model with highly proficient in assessing the risk of HCC patients. Then, both risk score and pathologic T stage were recognized as independent factors prognosticating the outcome of HCC patients. Afterwards, we constructed a nomogram utilizing risk score and pathologic T stage to achieve high accuracy in predicting the survival outcomes of HCC patients. Groups at low risk demonstrated enrichment in pathways related to biometabolism and immune response, such as "fatty acid metabolism" and "complement and coagulation cascades". Additionally, the strongest positive and negative correlation were observed from activated CD4 Conclusion: We identified three prognostic genes associated with efferocytosis in HCC and integrated them into a risk prognostic model. These genes not only serve as signatures for predicting HCC prognosis but also offer insights into the treatment of HCC.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsReceptor Protein-Tyrosine KinasesBiomarkers, TumorEfferocytosisFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansLiverMaleNomogramsPrognosisBiomarkers, TumorReceptor Protein-Tyrosine KinasesTYRO3 protein, humanefferocytosishepatocellular carcinomaimmunenomogramprognosis

Identifiers

PMID41938513
PMCPMC13048898

What Socratic holds

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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 Socratic graph.