铜死亡相关基因LIPT1对中国肝癌分期Ⅰa期肝细胞癌术后复发的预测价值  

The predictive value of cuproptosis-related gene lipoyltransferase 1 on postoperative recurrence in patients with CNLC stageⅠa hepatocellular carcinoma

作　　者：杨吴翰 王淑彬 陈耀文 刘成禹 刘月平[3] 彭利[1] YANG Wu-han;WANG Shu-bin;CHEN Yao-wen;LIU Cheng-yu;LIU Yue-ping;PENG Li(Department of Hepatobiliary Surgery,the Fourth Hospital of Hebei Medical University,Shijiazhuang 0500011 China;Department of General Medicine,the Fourth Hospital of Hebei Medical University,Shijiazhuang 050011,China;Department of Pathology,the Fourth Hospital of Hebei Medical University,Shijiazhuang 050011,China)

机构地区：[1]河北医科大学第四医院肝胆外科,河北石家庄050011 [2]河北医科大学第四医院全科医疗科,河北石家庄050011 [3]河北医科大学第四医院病理科,河北石家庄050011

出　　处：《河北医科大学学报》2024年第10期1181-1187,共7页Journal of Hebei Medical University

基　　金：河北省自然科学基金“精准医学”联合基金重点项目(H2022206335)。

摘　　要：目的探讨铜死亡相关基因脂酰转移酶1(lipoyltransferase 1,LIPT1)在中国肝癌分期Ⅰa期肝细胞癌(hepatocellular carcinoma,HCC)中的表达及其意义,并构建LIPT1相关列线图预测Ⅰa期HCC患者术后复发风险。方法收集在河北医科大学第四医院接受根治性手术的Ⅰa期HCC患者(139例)的临床资料,采用免疫组织化学检测肿瘤组织中LIPT1的表达状态。使用Kaplan-Meier法进行生存分析,Cox比例风险模型评估无病生存时间(disease-free survival,DFS)的影响因素。基于多因素Cox回归分析结果建立Ⅰa期HCC患者无病生存率预测模型,并通过校准曲线和时间依赖曲线下面积对模型进行验证。结果139例Ⅰa期HCC患者1年、3年和5年的疾病无进展生存率分别为76.3%、56.1%和46.5%。LIPT1高表达患者89例,LIPT1低表达患者50例。多因素Cox回归分析显示,LIPT1表达量(HR=1.093,95%CI:1.001~1.193)和糖尿病病史(HR=2.172,95%CI:1.126~4.191)是影响Ⅰa期HCC患者DFS的独立危险因素。基于这些指标构建的DFS预测模型显示出良好的一致性。列线图在训练集中1年、3年和5年的时间依赖曲线下面积分别为0.785、0.780和0.766,在验证集中为0.712、0.794和0.716,均高于肿瘤直径。结论LIPT1可以作为预测Ⅰa期HCC患者术后复发时间的有效标志物。相比于传统指标肿瘤直径,所建立的列线图在预测Ⅰa期HCC患者DFS方面具有更高的效能,为早期肝癌术后监测和个体化治疗提供了新的方向。Objective To investigate the expression and significance of cuproptosis-related gene lipoyltransferase 1(LIPT1)in patients with China liver cancer staging(CNLC)Ⅰa hepatocellular carcinoma(HCC)and to construct a LIPT1-related nomogram to predict the risk of postoperative recurrence in these patients.Methods Clinical data of 139 CNLCⅠa HCC patients who underwent radical surgery at the Fourth Hospital of Hebei Medical University were collected.Immunohistochemistry was used to detect LIPT1 expression in tumor tissues.Survival analysis was performed using the Kaplan-Meier method,and the Cox proportional hazards model was employed to evaluate factors affecting disease-free survival(DFS).A prediction model for DFS was established based on multivariate Cox regression analysis results and validated using calibration curves and time-dependent area under the receiver operating characteristic(ROC)curve.Results The 1-year,3-year,and 5-year DFS rates of 139 CNLCⅠa HCC patients were 76.3%,56.1%,and 46.5%,respectively.Among these patients,89 had high LIPT1 expression,and 50 had low LIPT1 expression.Multivariate Cox regression analysis revealed that LIPT1 expression(HR=1.093,95%CI:1.001-1.193)and history of diabetes(HR=2.172,95%CI:1.126-4.191)were independent risk factors for DFS of CNLCⅠa HCC patients.The DFS prediction model constructed based on the above indicators showed good consistency.The time-dependent area under the ROC curve of the nomogram for 1-year,3-year,and 5-year DFS was 0.785,0.780,0.766,respectively,and 0.712,0.794,0.716,respectively,which were higher than those for tumor size.Conclusion LIPT1 can serve as an effective marker to predict postoperative recurrence in CNLC Ia HCC patients.Compared with the traditional indicator tumor size,the nomogram has higher efficacy in predicting DFS of CNLCⅠa HCC patients,providing a new direction for postoperative monitoring and individualized treatment of early-stage liver cancer.

关 键 词：肝肿瘤 脂酰转移酶1 预后 

分 类 号：R735.7[医药卫生—肿瘤]