目的 探讨自噬相关LncRNA在头颈部鳞状细胞癌(HNSCC)患者中的预后作用,并构建HNSCC预后风险模型。方法 从癌症基因组图谱数据库下载HNSCC测序数据和临床数据,从HADb数据库下载自噬数据集,采用Person相关性分析确定HNSCC自噬相关LncRNA,采用Cox多因素回归分析确定具有独立预后意义的自噬相关LncRNA。再基于这些自噬相关LncRNA,构建风险模型,将患者分为高危组和低危组,采用Kaplan-Meier法比较两组的生存差异,采用ROC曲线分析及评估模型预后的预测能力,最后通过Cox回归分析风险评分和临床病理特征与HNSCC患者预后的关系。结果 共确定9个具有独立预后意义的自噬相关LncRNA(LINC02195、AP003068.1、LINC02560、MIR9-3HG、AC106820.3、AC040977.1、AC005288.1、AC104083.1和AC098487.1),构建HNSCC预后风险模型,其中高危组患者5年总生存率(48.40%,103/219)明显低于低危组患者5年总生存率(70.45%,155/220),差异有统计学意义(P＜0.05),多因素Cox回归分析表明风险评分(HR=1.984,95%CI:1.350~2.916)是HNSCC的独立预后危险因素。结论 基于9个自噬相关LncRNA构建的预后风险模型可用于预测HNSCC患者预后,这些自噬相关LncRNA可能在HNSCC的生物学中发挥重要作用。
Abstract
Objective To investigate the prognostic role of autophagy-related LncRNA in patients with head and neck squamous cell carcinoma (HNSCC), and to construct a prognostic risk model for HNSCC.Methods HNSCC sequencing data and clinical data were downloaded from the Cancer Genome Atlas (TCGA), and autophagy datasets were downloaded from the HADb database. Person correlation analysis was used to identify HNSCC autophagy-related LncRNA, and univariate Cox regression analysis to screen for correlation with the prognosis of HNSCC The autophagy-related LncRNA was further analyzed by multivariate Cox multifactor regression analysis was used to determine the autophagy-related LncRNA with independent prognostic significance. Based on these autophagy-related LncRNAs, a risk model was constructed, patients were divided into a high-risk group and a low-risk group, and the survival differences between the two groups were compared. ROC curve analysis was used to evaluate the predictive ability of the model's prognosis, and finally Cox regression was used to analyze the relationship between risk score, clinicopathological features and the prognosis of HNSCC patients.Results A total of 9 HNSCC autophagy-related LncRNAs(LINC02195, AP003068.1, LINC02560, MIR9-3HG, AC106820.3, AC040977.1, AC005288.1, AC104083.1, AC098487.1)were identified and a risk model was constructed. The 5-year overall survival rate of patients in the high-risk group (48.40%,103/219)was significantly shorter than that of the low-risk group (70.45%,155/220)(P<0.05). The area under the ROC analysis curve was 0.715, which showed that the risk model had a good ability to predict the prognosis of HNSCC patients. And multivariate Cox regression analysis showed that risk score (HR= 1.984,95%CI:1.350-2.916)was an independent prognostic risk factor for HNSCC.Conclusions The prognostic risk model based on 9 autophagy-related LncRNAs can be used to predict the prognosis of HNSCC patients, and these autophagy-related LncRNAs may play an important role in the biology of HNSCC.
关键词
自噬 /
头颈部鳞状细胞癌 /
LncRNA /
预后 /
模型
Key words
autophagy /
head and neck squamous cell carcinoma /
LncRNA /
prognosis /
model
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参考文献
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