Combined eight-long noncoding RNA signature: a new risk score predicting prognosis in elderly non-small cell lung cancer patients

Combined eight-long noncoding RNA signature: a new risk score predicting prognosis in elderly non-small cell lung cancer patients
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组合八长非编码RNA特征:预测老年非小细胞肺癌患者预后的新风险评分

DOI:
10.18632/aging.101752
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发表时间:
2019-01-31
期刊:
影响因子:
5.2
通讯作者:
Lin, Ting
Lin, Ting
中科院分区:
医学2区
文献类型:
--
作者:
Miao, Runchen;Ge, Cuiyun;Lin, Ting

文献摘要

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非小细胞肺癌(NSCLC)患者以老年人居多。与总体人群的预测性指导相比,有效的老年患者预测性指导可以更好地指导患者的术后治疗,提高总体生存率(OS)和无病生存率(DFS)。近年来,长非编码RNA(LncRNAs)被发现在预测肿瘤预后中发挥重要作用。为了找出预测老年NSCLC患者生存的潜在的LncRNA,在本研究中,我们选择了456名老年NSCLC患者,并分析了来自四个基因表达总集(GSE30219、GSE31546、GSE37745和GSE50081)的差异表达的LncRNA。然后我们构建了一个8-lncRNA公式来预测老年非小细胞肺癌患者的预后。此外,我们在两个独立的数据集TCGA(n=670)和GSE31210(n=130)中验证了新风险模型的预测值。我们的数据表明,风险模型和患者预后之间存在显著的关联。最后,分层分析进一步显示,从发现组和确认组中,8-lncRNA签名都是预测I期老年患者OS和DFS的独立因素。功能预测显示,8个LncRNAs在非小细胞肺癌的肿瘤免疫过程中具有潜在的作用,如淋巴细胞活化和肿瘤坏死因子的产生。总之,我们的数据提供了证据,证明8-lncRNA信号可以作为一个独立的生物标志物来预测老年非小细胞肺癌患者的预后,特别是在老年I期患者。
The elderly are the majority of patients with non-small cell lung cancer (NSCLC). Compared to the overall population's predictive guidance, an effective predictive guidance for elderly patients can better guide patients' postoperative treatment and improve overall survival (OS) and disease-free survival (DFS). Recently, the long non-coding RNAs (lncRNAs) have been found to play an important role in predicting tumor prognosis. To identify potential lncRNAs to predict survival in elderly patients with NSCLC, in the present study, we chose 456 elderly patients with NSCLC and analyzed differentially expressed lncRNAs from four Gene Expression Omnibus (GEO) datasets (GSE30219, GSE31546, GSE37745 and GSE50081). We then constructed an eight-lncRNA formula to predict elderly patients’ prognosis in NSCLC. Furthermore, we validated the prognostic values of the new risk model in two independent datasets, TCGA (n=670) and GSE31210 (n=130). Our data suggested a significant association between risk model and patients’ prognosis. Finally, stratification analysis further revealed the eight-lncRNA signature was an independent factor to predict OS and DFS in stage I elderly patients from both the discovery and validation groups. Functional prediction revealed that 8 lncRNAs have potential effects on tumor immune processes such as lymphocyte activation and TNF production in NSCLC. In summary, our data provides evidence that the eight-lncRNA signature could serve as an independent biomarker to predict prognosis in elderly patients with NSCLC especially in elderly stage I patients.