Su Hanwen, Liu Youyi, Huang Jingtao
Department of Clinical Laboratory, Institute of Translational Medicine, Renmin Hospital of Wuhan University, Wuhan 430060, China.
Wuxi School of Medicine, Jiangnan University, Wuxi 214122, China.
J Clin Med. 2023 Feb 21;12(5):1715. doi: 10.3390/jcm12051715.
(1) Background: Hepatocellular carcinoma (HCC) is one of the most common cancers worldwide with limited treatment satisfaction. Finding new therapeutic targets has remained a major challenge. Ferroptosis is an iron-dependent cell death program that plays a regulatory role in HBV infection and HCC development. It is necessary to classify the roles of ferroptosis or ferroptosis-related genes (FRGs) in HBV-related HCC progression. (2) Methods: We conducted a matched case-control study from the TCGA database, retrospectively collecting demographic data and common clinical indicators from all subjects. The Kaplan-Meier curve, univariate and multivariate cox regression analysis of the FRGs were used to explore the risk factors for HBV-related HCC. The CIBERSORT algorithm and TIDE algorithm were executed to evaluate the functions of FRGs in the tumor-immune environment. (3) Results: A total of 145 HBV-positive HCC patients and 266 HBV-negative HCC patients were enrolled in our study. Four ferroptosis related genes (FANCD2, CS, CISD1 and SLC1A5) were positively correlated with the progression of HBV-related HCC. Among them, SLC1A5 was an independent risk factor for HBV-related HCC, and correlated with poor prognosis, advanced progression and an immunosuppression microenvironment. (4) Conclusions: Here, we revealed that a ferroptosis-related gene, SLC1A5, may be an excellent predictor of HBV-related HCC and may provide insight into the development of innovative possible therapeutic techniques.
(1) 背景:肝细胞癌(HCC)是全球最常见的癌症之一,治疗满意度有限。寻找新的治疗靶点仍然是一项重大挑战。铁死亡是一种铁依赖性细胞死亡程序,在乙肝病毒(HBV)感染和HCC发展中起调节作用。有必要对铁死亡或铁死亡相关基因(FRGs)在HBV相关HCC进展中的作用进行分类。(2) 方法:我们从TCGA数据库进行了一项匹配病例对照研究,回顾性收集所有受试者的人口统计学数据和常见临床指标。使用FRGs的Kaplan-Meier曲线、单变量和多变量cox回归分析来探索HBV相关HCC的危险因素。执行CIBERSORT算法和TIDE算法来评估FRGs在肿瘤免疫环境中的功能。(3) 结果:我们的研究共纳入了145例HBV阳性HCC患者和266例HBV阴性HCC患者。四个铁死亡相关基因(FANCD2、CS、CISD1和SLC1A5)与HBV相关HCC的进展呈正相关。其中,SLCIA5是HBV相关HCC的独立危险因素,与预后不良、进展期和免疫抑制微环境相关。(4) 结论:在此,我们揭示了铁死亡相关基因SLC1A5可能是HBV相关HCC的一个优秀预测指标,并可能为创新治疗技术的发展提供见解。