A novel NHEJ gene signature based model for risk stratification and prognosis prediction in hepatocellular carcinoma

被引:0
|
作者
Lin, Zhu [1 ,2 ,3 ]
Huang, Zhenkun [1 ,2 ,3 ]
Shi, Yunxing [1 ,2 ,3 ]
Yuan, Yichuan [1 ,2 ,3 ]
Niu, Yi [1 ,2 ]
Li, Binkui [1 ,2 ,3 ]
Yuan, Yunfei [1 ,2 ,3 ]
Qiu, Jiliang [1 ,2 ,3 ]
机构
[1] Sun Yat Sen Univ, State Key Lab Oncol South China, Canc Ctr, Guangzhou, Peoples R China
[2] Sun Yat Sen Univ, Collaborat Innovat Ctr Canc Med, Canc Ctr, Guangzhou, Peoples R China
[3] Sun Yat Sen Univ, Dept Liver Surg, Canc Ctr, 651 Dongfeng Rd East, Guangzhou 510060, Peoples R China
基金
中国国家自然科学基金;
关键词
Hepatocellular carcinoma; Non-homologous DNA end joining; Immune infiltrated landscape; Prognostic model; Risk stratification; CARCINOGENESIS; REPAIR;
D O I
10.1186/s12935-023-02907-9
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
BackgroundNon-homologous DNA end joining (NHEJ) is the predominant DNA double-strand break (DSB) repair pathway in human. However, the relationship between NHEJ pathway and hepatocellular carcinoma (HCC) is unclear. We aimed to explore the potential prognostic role of NHEJ genes and to develop an NHEJ-based prognosis signature for HCC.MethodsTwo cohorts from public database were incorporated into this study. The Kaplan-Meier curve, the Least absolute shrinkage and selection operator (LASSO) regression analysis, and Cox analyses were implemented to determine the prognostic genes. A NHEJ-related risk model was created and verified by independent cohorts. We derived enriched pathways between the high- and low-risk groups using Gene Set Enrichment Analysis (GSEA). CIBERSORT and microenvironment cell populations-counter algorithm were used to perform immune infiltration analysis. XRCC6 is a core NHEJ gene and immunohistochemistry (IHC) was further performed to elucidate the prognostic impact. In vitro proliferation assays were conducted to investigate the specific effect of XRCC6.ResultsA novel NHEJ-related risk model was developed based on 6 NHEJ genes and patients were divided into distinct risk groups according to the risk score. The high-risk group had a poorer survival than those in the low-risk group (P < 0.001). Meanwhile, an obvious discrepancy in the landscape of the immune microenvironment also indicated that distinct immune status might be a potential determinant affecting prognosis as well as immunotherapy reactiveness. High XRCC6 expression level associates with poor outcome in HCC. Moreover, XRCC6 could promote HCC cell proliferation in vitro.ConclusionsIn brief, this work reveals a novel NHEJ-related risk signature for prognostic evaluation of HCC patients, which may be a potential biomarker of HCC immunotherapy.
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页数:13
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