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已发表论文

基于 ARF4 和 EIF5B 的肝细胞癌射频消融不充分后的预后特征及免疫图谱的解码:顺利获得多组学和实验验证

 

Authors Zhang Y , Lu Y, Zheng S, Luo W, Tan M , Luo B

Received 14 January 2025

Accepted for publication 16 April 2025

Published 9 May 2025 Volume 2025:12 Pages 909—931

DOI http://doi.org/10.2147/JHC.S517528

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 3

Editor who approved publication: Dr Ali Hosni

Yixin Zhang,1,* Yongpan Lu,2,* Sui Zheng,1,* Wanrong Luo,1 Min Tan,1 Baoming Luo1 

1Department of Ultrasound, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, 510120, People’s Republic of China; 2Department of Anorectal Surgery, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, 266000, People’s Republic of China

*These authors contributed equally to this work

Correspondence: Baoming Luo, Department of Ultrasound, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, No. 33 Yingfeng Road, Guangzhou, Guangdong, People’s Republic of China, Email luobm@mail.sysu.edu.cn

Background: Radiofrequency ablation (RFA) is pivotal in non-surgical hepatocellular carcinoma (HCC) treatments but poses a high postoperative recurrence risk, exceeding conventional surgeries. Insufficient tumor ablation may trigger immune responses, promoting tumor progression locally. Hence, this study seeks to pinpoint immune biomarkers to improve treatment precision and prognostic accuracy for RFA patients.
Methods: The study utilized data from The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO), and The International Cancer Genome Consortium (ICGC) database to investigate novel immune biomarkers influencing the prognosis of patients undergoing insufficient radiofrequency ablation (IRFA). Subsequently, an IRFA model was developed and validated. Then, we employed Quantitative real time-Polymerase Chain Reaction (qPCR), Western blotting (WB), immunohistochemistry (IHC), and immunofluorescence (IF) techniques on human HCC cell lines and IRFA animal model to validate ADP-ribosylation factor 4 (ARF4) and Eukaryotic translation initiation factor 5B (EIF5B) expression and prognostic relevance post-IRFA. In addition, knockdown of ARF4 and EIF5B was performed to evaluate cell proliferation, migration, invasion, and epithelial-mesenchymal transition (EMT). Finally, transcriptome sequencing was subsequently performed to confirm and extend our findings.
Results: ARF4 and EIF5B were identified as critical immune targets affecting IRFA patient prognosis, forming the basis of an IRFA risk model. High-risk scores in this model correlated with poorer prognoses and reduced responsiveness to immune checkpoint inhibitors (ICIs) across multiple cancer types. Experimental validations confirmed the protective role of ARF4 and EIF5B in IRFA outcomes, while knockdown experiments suggested their involvement in promoting cell proliferation, migration, invasion, and EMT in IRFA models, potentially through pathways like P53 and Transforming Growth Factor Beta(TGF-β) signaling pathway activation as indicated by transcriptome sequencing.
Conclusion: ARF4 and EIF5B have demonstrated promising potential as biomarkers influencing patient prognosis following RFA in HCC. These findings suggest they could serve as viable therapeutic targets aimed at mitigating HCC recurrence post-RFA.

Keywords: inadequate radiofrequency ablation, HCC, ARF4, EIF5B, biomarker

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