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ORIGINAL RESEARCH article

Front. Immunol.

Sec. Cancer Immunity and Immunotherapy

Volume 16 - 2025 | doi: 10.3389/fimmu.2025.1614702

This article is part of the Research TopicImmunology and Therapeutic Innovations in Hepatocellular Carcinoma: Exploring Immune Evasion and BeyondView all 10 articles

Integrating bioinformatics and experimental validation to reveal a novel VRK score as a prognostic and therapeutic biomarker in hepatocellular carcinoma

Provisionally accepted
Zhihao  FuZhihao Fu1,2Dufei  LiuDufei Liu1Menglin  ChenMenglin Chen3Guochao  ZhongGuochao Zhong1Zhibo  ZhaoZhibo Zhao1Junhua  GongJunhua Gong1Xin  DaiXin Dai1Jiejun  HuJiejun Hu1Degong  JiaDegong Jia4Lve  ChengLve Cheng1Dong  CaiDong Cai1*Jianping  GongJianping Gong1*
  • 1Department of Hepatobiliary Surgery, Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
  • 2Department of Hepatobiliary and Pancreatic Surgery, People's Hospital of Zhengzhou University, Zhengzhou, Henan, China
  • 3Institute of Clinical Pathology, Key Laboratory of Transplant Engineering and Immunology, NHC, West China Hospital, Chengdu, Sichuan, China
  • 4Department of Kidney Transplantation, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China

The final, formatted version of the article will be published soon.

Background: Vaccinia-related kinase (VRK) family genes play a multifunctional role in tumor development. However, the role of VRK family genes in hepatocellular carcinoma (HCC) requires further research. Moreover, the clinical potential of the VRK-related model remains unclear. The aim of this study is to construct a VRK-related model to predict HCC prognosis and therapeutic efficacy. Methods: The data of HCC patients were extracted from The Cancer Genome Atlas (TCGA), International Cancer Genome Consortium (ICGC), and Gene Expression Omnibus (GEO) databases. The single-sample gene set enrichment analysis (ssGSEA) algorithm was used to calculate the VRK score of each sample. Tumor IMmune Estimation Resource 2.0 (TIMER 2.0) and Tumor Immune Dysfunction and Exclusion (TIDE) were used to evaluate immune cell infiltration and the immune checkpoint response. pRRophetic was used for predicting drug sensitivity. CCK-8, colony formation, wound healing, transwell and xenograft assays were used to experimentally validate the biofunction of VRK2 in HCC. Results: We found that all VRK family genes were highly expressed in HCC. Compared with patients with low VRK scores, patients with high VRK1 or VRK2 expression in the TCGA, ICGC, and GSE14520 cohorts had poorer outcomes. Moreover, patients with a high VRK score in the TCGA, ICGC, and GSE14520 cohorts also had poorer outcomes. Importantly, Cox analysis revealed that the VRK score was a potential independent risk factor for HCC. Notably, TIMER2.0 and TIDE suggested that patients with high VRK scores had higher immune checkpoint response rates. Similarly, drug sensitivity analyses suggested that patients with high VRK scores were more resistant to sorafenib, paclitaxel, cisplatin, and gemcitabine. Finally, experimental validation revealed that VRK2 knockdown inhibited HCC development in vitro and in vivo. Conclusion: The VRK score was found to be a reliable indicator for predicting HCC prognosis and therapeutic efficacy. VRK2 is a potential therapeutic target for HCC.

Keywords: VRK, immune, therapy, bioinformatics, HCC

Received: 19 Apr 2025; Accepted: 03 Sep 2025.

Copyright: © 2025 Fu, Liu, Chen, Zhong, Zhao, Gong, Dai, Hu, Jia, Cheng, Cai and Gong. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence:
Dong Cai, Department of Hepatobiliary Surgery, Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
Jianping Gong, Department of Hepatobiliary Surgery, Second Affiliated Hospital, Chongqing Medical University, Chongqing, China

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