An autophagy-related four-lncRNA signature helps to predict progression-free survival of neuroblastoma patients.
An autophagy-related four-lncRNA signature helps to predict progression-free survival of neuroblastoma patients.
复制标题
自噬相关的四-lncRNA特征有助于预测神经母细胞瘤患者的无进展生存期
DOI：
10.3389/fonc.2022.1014845
复制
发表时间：
2022
影响因子：
4.7
通讯作者：
Feng, Jiexiong
中科院分区：
文献类型：
--
作者：
Wang, Jing;Meng, Xinyao;Chen, Ke;Feng, Jiexiong
本研究旨在鉴定与神经母细胞瘤（NB）进展相关的自噬相关长链非编码RNA（lncRNA），并建立一个有助于预测NB无进展生存期（PFS）的自噬相关lncRNA标签。本研究中使用了三个独立的基因表达数据集。通过单因素考克斯生存分析，首次发现自噬相关基因（Autophagy-related genes，ARG）与NB患者的PFS相关。然后鉴定与这些PFS相关的ARG相关的lncRNA。进行最小绝对收缩和选择算子（LASSO）回归和多变量考克斯回归分析以选择出对PFS具有最佳预后价值的那些lncRNA。进行受试者工作特征（ROC）和曲线下面积（AUC）分析以评估预测准确性。发现四种自噬相关的lncRNA（AL356599.1、AC022075.1、AC020928.1和LINC 02076）具有最佳预后价值，并整合到四种lncRNA风险特征中用于预测NB患者的PFS。四-lncRNA标签显著地将NB患者分成两个风险组，其中高风险组具有比低风险组显著更差的PFS。lncRNA标记的预后作用与其他临床风险因素无关。ROC曲线显示lncRNA标签在预测PFS方面具有良好的性能（AUC > 0.70）。构建了基于COG（儿童肿瘤组）风险和lncRNA风险评分的列线图，显示出良好的预测准确性（C指数= 0.700）。诺模图的预后能力优于单独的COG风险（AUC = 0.790 vs. AUC = 0.748）。GSEA分析显示，多个自噬相关基因集在低风险组中显著富集。我们确定了一个与自噬相关的四种lncRNA特征，可以帮助预测NB患者的PFS。自噬相关基因在低危组中显著富集，提示自噬在NB中具有抑瘤作用。
This study aimed to identify autophagy-related long non-coding RNAs (lncRNAs) associated with progression of neuroblastoma (NB), and to build an autophagy-related lncRNA signature that helps to predict progression-free survival (PFS) of NB. Three independent gene expression datasets were utilized in this study. Autophagy-related genes (ARG) associated with PFS of NB patients were firstly identified by univariate Cox survival analysis. lncRNAs correlated with those PFS-related ARGs were then identified. The least absolute shrinkage and selection operator (LASSO) regression and multivariate Cox regression analyses were performed to select out those lncRNAs with the best prognostic value for PFS. The Receiver Operating Characteristic (ROC) and Area Under Curve (AUC) analyses were performed to assess the prediction accuracy. Four autophagy-related lncRNAs (AL356599.1, AC022075.1, AC020928.1 and LINC02076) were found to be with the best prognostic value and integrated into a four-lncRNA risk signature for predicting PFS of NB patients. The four-lncRNA signature significantly stratify NB patients into two risk groups, with high-risk group has significantly poorer PFS than the low-risk group. The prognostic role of the lncRNA signature was independent with other clinical risk factors. The ROC curves revealed that the lncRNA signature has a good performance in predicting PFS (AUC > 0.70). A nomogram based on COG (Children’s Oncology Group) risk and the lncRNA risk score was constructed, showing good prediction accuracy (C-index = 0.700). The prognostic ability of the nomogram was better than that of COG risk alone (AUC = 0.790 versus AUC = 0.748). GSEA analyses revealed that multiple autophagy-related gene sets are significantly enriched in the low-risk group. We identified an autophagy-related four-lncRNA signature that could help to predict the PFS of NB patients. Autophagy-related gene sets are significantly enriched in low-risk group, suggesting tumor suppressive roles of autophagy in NB.
登录
查看更多内容
DOI：
10.1158/1078-0432.ccr-08-1815
发表时间：
2009-05-15
期刊：
Clinical cancer research : an official journal of the American Association for Cancer Research
影响因子：
--
作者：
Brodeur GM;Minturn JE;Ho R;Simpson AM;Iyer R;Varela CR;Light JE;Kolla V;Evans AE
通讯作者：
Evans AE
影响因子：
5.1
作者：
Niranjan, Rituraj;Mishra, Kaushal Prasad;Thakur, Ashwani Kumar
通讯作者：
Thakur, Ashwani Kumar
DOI：
10.1083/jcb.201708168
发表时间：
2018-05-07
期刊：
The Journal of cell biology
影响因子：
--
作者：
Sha Z;Schnell HM;Ruoff K;Goldberg A
通讯作者：
Goldberg A
影响因子：
4.1
作者：
Ma L;Bajic VB;Zhang Z
通讯作者：
Zhang Z
自噬与神经母细胞瘤的化学抗性有关。
影响因子：
3.8
作者：
Belounis A;Nyalendo C;Le Gall R;Imbriglio TV;Mahma M;Teira P;Beaunoyer M;Cournoyer S;Haddad E;Vassal G;Sartelet H
通讯作者：
Sartelet H