基于生物信息学识别肝细胞癌中的PANoptosis相关lncRNAs并构建预后模型  

Identification of PANoptosis-related lncRNAs in hepatocellular carcinoma based on bioinformatics and construction of a prognostic model

作　　者：何锐 郑秀娟[1] 王宁宁 李旭颖[1] 李明其 辇士晶 王克维[1] Rui He;Xiujuan Zheng;Ningning Wang;Xuying Li;Mingqi Li;Shijing Nian;Kewei Wang(Center for Endemic Disease Control,Chinese Center for Disease Control and Prevention,Harbin Medical University,Harbin 150081,China)

机构地区：[1]哈尔滨医科大学中国疾病预防控制中心地方病预防控制中心,哈尔滨150081

出　　处：《遗传》2025年第4期456-475,共20页Hereditas(Beijing)

基　　金：国家自然科学基金项目(编号:81773367);哈尔滨医科大学研究生科研与实践创新基金(编号:YJSCX2023-123HYD)资助。

摘　　要：PANoptosis是一种新的促炎程序性细胞死亡的方式,参与多种癌症的发生发展过程,但其在肝癌发生发展过程中的机制尚未被阐明。近年来的研究表明,长链非编码RNA(long non-coding RNAs,lnc RNAs)在多种癌症的发生发展中起到了关键作用。本研究分别从癌症基因组图谱(The Cancer Genome Atlas,TCGA)数据库和基因表达综合数据库(Gene Expression Omnibus,GEO)数据中检索了肝癌数据集。结合肝癌数据集和前人的研究基础,通过相关性分析得到了PANoptosis相关lnc RNAs。一致性聚类分析发现,肝细胞癌患者可以分为两种不同的亚型,即Cluster 1亚型和Cluster 2亚型。与Cluster 2亚型相比,Cluster 1亚型具有更好的预后和更高水平的免疫浸润。然后,对PANoptosis相关lnc RNAs进行了Lasso-Cox降维分析,构建了风险评估模型用于预测肝细胞癌患者预后。Kaplan-Meier分析显示,低风险组患者生存率较高,受试者工作特征曲线(receiver operating characteristic curve,ROC)和校准曲线证实了模型具有良好的预测能力。这些发现有助于人们更加深入地理解PANoptosis相关lnc RNAs在肝细胞癌发生发展中起到的关键作用,为后续的肝细胞癌治疗提供潜在的生物标志物和治疗靶点。PANoptosis,a novel form of pro-inflammatory programmed cell death,plays a role in the progression of various cancers.However,its mechanisms in hepatocellular carcinoma(HCC)remain unclear.Recent studies have highlighted the critical role of long non-coding RNAs(lncRNAs)in the development and progression of multiple cancers.In this study,we retrieve HCC datasets from the TCGA and GEO databases.We identify PANoptosis-related lncRNAs through correlation analysis based on HCC datasets and previous research.Consistent clustering analysis reveals two distinct subtypes of HCC patients:Cluster 1 and Cluster 2.Compared with the Cluster 2 subtype,Cluster 1 shows a better prognosis and higher levels of immune infiltration.We then perform a Lasso-Cox regression analysis of PANoptosis-related lncRNAs to construct a risk assessment model for predicting the prognosis of HCC patients.Kaplan-Meier analysis indicates that patients in the low-risk group have higher survival rates,while ROC(receiver operating characteristic curve)and calibration curves demonstrate the model’s good predictive performance.These findings provide deeper insights into the critical role of PANoptosis-related lncRNAs in developing HCC,offering potential biomarkers and therapeutic targets for future HCC treatment.

关 键 词：泛凋亡 细胞凋亡 细胞焦亡 坏死性凋亡 长链非编码RNA 肝细胞癌 

分 类 号：R735.7[医药卫生—肿瘤]