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铜死亡相关lncRNAs/mRNAs模型的构建及肝细胞癌的预后预测

Construction of cuproptosis-related lncRNAs/mRNAs model and prognostic prediction of hepatocellular carcinoma.

作者信息

Tang Lingxue, Wang Tong, Li Wen, Yu Sheng, Yao Senbang, Cheng Huaidong

机构信息

Department of Oncology, The Second Affiliated Hospital of Anhui Medical University Hefei 230601, Anhui, China.

Department of General Medicine, The Second Affiliated Hospital of Anhui Medical University Hefei 230601, Anhui, China.

出版信息

Am J Cancer Res. 2022 Oct 15;12(10):4693-4707. eCollection 2022.

Abstract

Cuproptosis is a recently reported novel form of cell death, which is involved in the regulation of tumor progression. However, the specific role of cuproprosis in hepatocellular carcinoma (HCC) development remains unclear. In this study, we comprehensively analyzed the effect of cuproprosis-related lncRNAs/mRNAs on the prognosis of HCC patients based on the RNA-Seq transcriptome data and clinical data. We identified 6 cuproprosis-related signatures by Cox and Lasso regression analysis, including 3 mRNAs (FBXO30, RNF2, MPDZ) and 3 lncRNAs (PICSAR, LINC00426, AL590705.3). In addition, we constructed a prognostic prediction model for HCC. Risk analysis, RT-qPCR, and Kaplan-Meier analysis showed that the expression of FBXO30, RNF2, AL590705.3 and PICSAR was elevated in HCC, while the expression of MPDZ and LINC00426 was suppressed which was associated with better overall survival. Furthermore, immune response analysis suggested that HCC with high-risk score might respond favorably to immunotherapy. Moreover, the potential drugs that HCC might be sensitive to were screened by drug sensitivity profiling analysis. Taken together, our findings provided important information for the prediction of the prognosis of HCC patients and the development of personalized targeted therapy.

摘要

铜死亡是最近报道的一种新型细胞死亡形式,它参与肿瘤进展的调控。然而,铜死亡在肝细胞癌(HCC)发生发展中的具体作用仍不清楚。在本研究中,我们基于RNA测序转录组数据和临床数据,全面分析了铜死亡相关lncRNA/mRNA对HCC患者预后的影响。我们通过Cox和Lasso回归分析确定了6个铜死亡相关特征,包括3个mRNA(FBXO30、RNF2、MPDZ)和3个lncRNA(PICSAR、LINC00426、AL590705.3)。此外,我们构建了HCC的预后预测模型。风险分析、RT-qPCR和Kaplan-Meier分析表明,FBXO30、RNF2、AL590705.3和PICSAR在HCC中的表达升高,而MPDZ和LINC00426的表达受到抑制,这与更好的总生存期相关。此外,免疫反应分析表明,高风险评分的HCC可能对免疫治疗有良好反应。此外,通过药物敏感性分析筛选了HCC可能敏感的潜在药物。综上所述,我们的研究结果为预测HCC患者的预后和开发个性化靶向治疗提供了重要信息。

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