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整合批量和单细胞 RNA 测序数据揭示了 HOXC9 相关免疫基因特征在肝细胞癌中的预后意义
Authors Zhang Y, Sun H, Bo W, An Z, Li J
Received 1 December 2024
Accepted for publication 23 March 2025
Published 29 March 2025 Volume 2025:18 Pages 453—465
DOI http://doi.org/10.2147/OTT.S509625
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Prof. Dr. Daniel Neureiter
Yong Zhang,1,* Hengliang Sun,2,* Weibo Bo,1 Zhongwu An,1 Jing Li3
1Department of Clinical Laboratory, Lianyungang Municipal Oriental Hospital, Lianyungang, Jiangsu, 222042, People’s Republic of China; 2Department of Clinical Laboratory, Hai’an Hospital of Traditional Chinese Medicine, Hai’an, Jiangsu, 226600, People’s Republic of China; 3Department of Respiratory and Critical Care Medicine, Lianyungang Municipal Oriental Hospital, Lianyungang, Jiangsu, 222042, People’s Republic of China
*These authors contributed equally to this work
Correspondence: Jing Li, Department of Respiratory and Critical Care Medicine, Lianyungang Municipal Oriental Hospital, No. 57 Zhonghua West Road, Lianyun District, Lianyungang, Jiangsu Province, 222042, People’s Republic of China, Email 15261379272@163.com
Objective: This study aims to integrate bulk and single-cell RNA sequencing data to construct a risk score model based on HOXC9-related immune genes (HRIGs) and evaluate its prognostic value in hepatocellular carcinoma (HCC).
Materials and Methods: RNA sequencing data and clinical information of HCC were obtained from TCGA and GEO databases. HRIGs were identified and a risk score model was constructed using LASSO-Cox regression analysis. The association between the risk score and tumor microenvironment was analyzed using CIBERSORT and ESTIMATE algorithms. Single-cell RNA sequencing (scRNA-seq) data were used to assess cell type distribution. Cell experiments were conducted to verify the effects of HOXC9 knockdown on HCC cell proliferation and invasion.
Results: HOXC9 is highly expressed in HCC and associated with poor prognosis (p=0.031). The risk score model based on four HRIGs (EGLN3, IMPDH1, LPCAT1, and MARCKSL1) showed good prognostic discrimination in both TCGA and GEO cohorts, with significantly lower overall survival in the high-risk group (p< 0.0001). The high-risk group exhibited higher immune scores and increased immune cell infiltration, as well as elevated immune checkpoint expression. scRNA-seq revealed increased hepatocytes and fibroblasts but decreased T/NK cells in HCC tissues. HOXC9 knockdown significantly inhibited HCC cell proliferation and invasion.
Conclusion: HOXC9 is overexpressed in HCC and correlates with poor prognosis. The HRIG-based risk score model effectively evaluates the prognosis and immune response in HCC patients, providing new insights for risk assessment and immunotherapy prediction.
Keywords: hepatocellular carcinoma, HOXC9, risk score model, immunotherapy, tumor microenvironment