Prognostic and predictive value of the hypoxia-associated long non-coding RNA signature in hepatocellular carcinoma
Prognostic and predictive value of the hypoxia-associated long non-coding RNA signature in hepatocellular carcinoma
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DOI：
10.16288/j.yczz.21-416
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发表时间：
2022-02-01
期刊：
影响因子：
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通讯作者：
Zhou, Gangqiao
中科院分区：
文献类型：
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作者：
Cheng, Min;Zhang, Jing;Zhou, Gangqiao
肝细胞癌是世界范围内常见的癌症。缺氧是包括肝细胞癌在内的实体瘤的重要特征，也是恶性进展的重要因素。然而，低氧相关的长非编码RNA(LncRNAs)的识别及其在肝细胞癌中的预后价值尚未得到系统的研究。本研究的目的是识别基于低氧相关的lncRNAs的特征，并评价其对肝癌预后的预测价值。基于对来自癌症基因组图谱(TCGA)的肝细胞癌转录组数据的综合分析，我们已经确定了233个潜在的与缺氧相关的LncRNA。我们进一步评估了这些LncRNA的预后价值，并优化建立了12-LncRNA(AC012676.1、PRR7-AS1、ACO20915.2、AC008622.2、AC026401.3、MAPKAPK5-AS1、MYG1-AS1、AC015908.3、AC009275.1、MIR210HG、CyTOR和SNHG3)预后风险模型。Cox比例风险回归分析显示，低氧风险评分是一种新的独立预测肝癌患者预后的指标，其预测效果优于传统的临床病理因素。基因集浓缩分析(GSEA)显示，低氧风险评分反映了与细胞增殖相关的生物学特征的激活和脂代谢过程的失活。综上所述，我们构建了一个基于12个与缺氧相关的lncRNA的风险评分模型，这可能是一个有希望的预测肝癌患者预后的指标，并突出了它们在预防和治疗这一恶性肿瘤中的潜在作用。
Hepatocellular carcinoma (HCC) is a common cancer worldwide. Hypoxia is an important feature of solid tumors, including HCC, and is also an important factor involved in malignancy progression. However, the identification of hypoxia-related long non-coding RNA (lncRNAs) and their prognostic value in HCC have not been systematically investigated. The aim of this study is to identify the features based on the hypoxia-related lncRNAs and evaluate their predictive value for HCC prognosis. Based on the integrated analysis of HCC transcriptome data from The Cancer Genome Atlas (TCGA), we had identified 233 potential hypoxia-related lncRNAs. We further evaluated the prognostic value of these lncRNAs and optimally established a 12-lncRNA (AC012676.1, PRR7-AS1, ACO20915.2, AC008622.2, AC026401.3, MAPKAPK5-AS1, MYG1-AS1, AC015908.3, AC009275.1, MIR210HG, CYTOR and SNHG3) prognostic risk model. The Cox proportional hazards regression analysis revealed that the hypoxia risk score is a novel independent prognostic predictor for HCC patients, which outperforms the traditional clinical pathological factors. Gene set enrichment analysis (GSEA) showed that the hypoxia risk score reflects the activation of biological features related to cell proliferation and the inactivation of lipid metabolism processes. In summary, we had constructed a risk score model based on 12 hypoxia-related lncRNAs, which might be a promising prognostic predictor for HCC patients and highlight their potential roles in the prevention and treatment of this malignancy.