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基于肝细胞癌中铁死亡相关长非编码 RNA 表达谱的预后签名。

A prognostic signature based on the expression profile of the ferroptosis-related long non-coding RNAs in hepatocellular carcinoma.

机构信息

.17219/acem/14951 Division of Experimental Radiation Biology, Department of Radiation Therapy, University Hospital Essen, University of Duisburg-Essen, Germany.

Department of Radiotherapy, Second Affiliated Hospital of Guangxi Medical University, Nanning, China.

出版信息

Adv Clin Exp Med. 2022 Oct;31(10):1099-1109. doi: 10.17219/acem/149566.

Abstract

BACKGROUND

Ferroptosis is a special form of cell death with extensive biological associations with various cancers; however, the role of aberrantly expressed ferroptosis-related long non-coding RNAs (lncRNAs) in hepatocellular carcinoma (HCC) remains unclear.

OBJECTIVES

To explore the role and prognostic value of ferroptosis-related lncRNAs in HCC and to screen potential therapeutic targets.

MATERIAL AND METHODS

The RNA-seq data for 424 HCC patients and clinical data for 377 HCC patients were obtained from The Cancer Genome Atlas (TCGA) and evaluated using the Pearson's test to identify differentially expressed lncRNAs. The univariate analysis, least absolute shrinkage and selection operator Cox regression analysis were performed to construct and validate a prognostic risk-score model. The prognostic capacity was evaluated using the Kaplan-Meier method, univariate and multivariate Cox regression, and receiver operating characteristic (ROC) curve analyses. The enrichment analysis was performed to explore the functions of ferroptosis-related lncRNAs from the perspective of tumor immunology.

RESULTS

Seventeen differentially expressed lncRNAs were identified (AL139384.1, AL928654.1, MKLN1-AS, AC145207.8, LINC00205, ZFPM2-AS1, LINC00942, POLH-AS1, AC090772.3, AL603839.3, AC012073.1, AC099850.1, AC026401.3, AP001469.3, AL031985.3, SNHG10, SNHG21) to establish the risk-score model. Survival analyses demonstrated poorer survival in high-risk patients, and the risk score was shown to be a better independent prognostic factor than conventional clinical characteristics. Additionally, we found close correlations between the risk score and immune cell subpopulation functions, as well as between the expression of immune checkpoint and carcinogenic N6-methyladenosine (m6A)-related mRNAs.

CONCLUSIONS

The novel ferroptosis-related lncRNA signature may serve as an individualized prognostic prediction tool for patients with HCC.

摘要

背景

铁死亡是一种特殊的细胞死亡形式,与各种癌症有广泛的生物学关联;然而,异常表达的铁死亡相关长非编码 RNA(lncRNA)在肝细胞癌(HCC)中的作用尚不清楚。

目的

探讨铁死亡相关 lncRNA 在 HCC 中的作用和预后价值,并筛选潜在的治疗靶点。

材料与方法

从癌症基因组图谱(TCGA)中获取 424 例 HCC 患者的 RNA-seq 数据和 377 例 HCC 患者的临床数据,采用 Pearson 检验进行评估,以鉴定差异表达的 lncRNA。采用单因素分析、最小绝对收缩和选择算子 Cox 回归分析构建和验证预后风险评分模型。采用 Kaplan-Meier 法、单因素和多因素 Cox 回归以及受试者工作特征(ROC)曲线分析评估预后能力。从肿瘤免疫学的角度进行富集分析,以探讨铁死亡相关 lncRNA 的功能。

结果

鉴定出 17 个差异表达的 lncRNA(AL139384.1、AL928654.1、MKLN1-AS、AC145207.8、LINC00205、ZFPM2-AS1、LINC00942、POLH-AS1、AC090772.3、AL603839.3、AC012073.1、AC099850.1、AC026401.3、AP001469.3、AL031985.3、SNHG10、SNHG21)建立风险评分模型。生存分析表明,高危患者的生存较差,风险评分是比传统临床特征更好的独立预后因素。此外,我们发现风险评分与免疫细胞亚群功能之间以及免疫检查点和致癌 N6-甲基腺苷(m6A)相关 mRNA 之间存在密切相关性。

结论

新型铁死亡相关 lncRNA 特征可作为 HCC 患者个体化预后预测工具。

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