Evidence map›Paper›PMID 40782246›Full record

ArticleDiscover oncology2025

Identifying key genes involved in HBV-related hepatocellular carcinoma: diagnose, prognosis, interaction and immune analysis.

Yan Li, Sa-Sa Liu, Hua-Rong Jing, Hong-Wei Qian, Rui-Cheng Li

Abstract read
In one paragraph

Article in Discover oncology, 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

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Yan LiSchool of Medical Laboratory, North Henan Medical University, Xinxiang, 453500, Henan Province, China.
Sa-Sa LiuDepartment of Clinical Laboratory, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaanxi Province, China.
Hua-Rong JingDepartment of Clinical Laboratory, Tangdu Hospital, Fourth Military Medical University, Xi'an, 710038, Shaanxi Province, China.
Hong-Wei QianDepartment of Clinical Laboratory, Tangdu Hospital, Fourth Military Medical University, Xi'an, 710038, Shaanxi Province, China.
Rui-Cheng LiDepartment of Clinical Laboratory, Tangdu Hospital, Fourth Military Medical University, Xi'an, 710038, Shaanxi Province, China. lirc16@163.com.

Funding

Natural Science Foundation of Shaanxi Province 2024JC-YBQN-0878
6 · The paper itself

Abstract

backgroundHepatitis B virus associated hepatocellular carcinoma (HBV-HCC) have been a serious global health problem. This study aimed to uncover the key genes in HBV-HCC, and clarity their function, interaction, diagnostic and prognostic value, impacts on immune infltration and potential drugs targeting these genes.

methodsFour gene expression datasets totally containing 117 paired tumor tissues and adjacent control tissues were selected from the GEO database and used to screen the differentially expressed genes (DEGs). Function analysis were performed by using GO and KEGG enrichment. STRING and cytoscape were used to analyze protein-protein interaction (PPI) and screen hub gene. Survival analysis and receiver operator characteristic (ROC) curve were used to explore the prognostic and diagnostic value of key genes. Immune infiltration analysis were performed by CIBERSORT algorithm. Drug-Gene Interaction Database (DGIdb) was used to screen the potential drug that affect hub genes.

resultsOverall, 234 shared DEGs were screened from four GSE datasets, which were mainly enrichment in cell growth regulation, epoxygenase P450 pathway, cellular response to multiple ion, xenobiotic metabolic process and complement activation. Six hub genes (HMMR, NDC80, CDK1, EZH2, ESR1, FOXM1) were screen by PPI analysis. ESR1 was down-regulated and associated with favorable prognosis in HBV-HCC, while HMMR, NDC80, CDK1 and EZH2 were up-regulated and correlation with shorter overall survival. Furthermore, ROC analysis and nomogram demonstrated the high diagnostic performance of NDC80, CDK1 and EZH2. Immune infiltration analysis showed that there were significant difference of several immune cell types between tumor and control tissues, including T cells, monocyte/macrophage and dendritic cells. There were significant correlation between hub genes with immune infiltration. Finally, DGIdb analysis showed there were several approved or new drugs that interaction with HMMR, CDK1, ESR1 and EZH2.

conclusionSix hug-genes are closely related to the HBV-HCC development, which involved in multiple biological progress and immune infiltration. Among them, NDC80, CDK1, EZH2 could severed as markers with good diagnostic and prognostic value. Notably, several approved drugs interaction with hub genes might be potential drug used for HBV-HCC therapy.

Indexed as

DiagnoseDifferentially expressed genesHBV-HCCImmune infiltrationPrognosis

Identifiers

PMID40782246
PMCPMC12335418

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