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神经母细胞瘤中免疫基因和免疫相关长链非编码RNA的预后特征:基于GEO和TARGET数据集的研究

Prognostic Signature of Immune Genes and Immune-Related LncRNAs in Neuroblastoma: A Study Based on GEO and TARGET Datasets.

作者信息

Zhong Xiaodan, Tao Ying, Chang Jian, Zhang Yutong, Zhang Hao, Wang Linyu, Liu Yuanning

机构信息

College of Computer Science and Technology, Jilin University, Changchun, China.

Department of Pediatric Oncology, The First Hospital of Jilin University, Changchun, China.

出版信息

Front Oncol. 2021 Mar 9;11:631546. doi: 10.3389/fonc.2021.631546. eCollection 2021.

Abstract

BACKGROUND

The prognostic value of immune-related genes and lncRNAs in neuroblastoma has not been elucidated, especially in subgroups with different outcomes. This study aimed to explore immune-related prognostic signatures.

MATERIALS AND METHODS

Immune-related prognostic genes and lncRNAs were identified by univariate Cox regression analysis in the training set. The top 20 C-index genes and 17 immune-related lncRNAs were included in prognostic model construction, and random forest and the Least Absolute Shrinkage and Selection Operator (LASSO) regression algorithms were employed to select features. The risk score model was constructed and assessed using the Kaplan-Meier plot and the receiver operating characteristic curve. Functional enrichment analysis of the immune-related lncRNAs was conducted using the STRING database.

RESULTS

In GSE49710, five immune genes (CDK4, PIK3R1, THRA, MAP2K2, and ULBP2) were included in the risk score five genes (RS5_G) signature, and eleven immune-related lncRNAs (LINC00260, FAM13A1OS, AGPAT4-IT1, DUBR, MIAT, TSC22D1-AS1, DANCR, MIR137HG, ERC2-IT1, LINC01184, LINC00667) were brought into risk score LncRNAs (RS_Lnc) signature. Patients were divided into high/low-risk score groups by the median. Overall survival and event/progression-free survival time were shortened in patients with high scores, both in training and validation cohorts. The same results were found in subgroups. In grouping ability assessment, the area under the curves (AUCs) in distinguishing different groups ranged from 0.737 to 0.94, better in discriminating MYCN status and high risk in training cohort (higher than 0.9). Multivariate Cox analysis demonstrated that RS5_G and RS_Lnc were the independent risk factors for overall and event/progression-free survival (all p-values <0.001). Correlation analysis showed that RS5_G and RS_Lnc were negatively associated with aDC, CD8+ T cells, but positively correlated with Th2 cells. Functional enrichment analyzes demonstrated that immune-related lncRNAs are mainly enriched in cancer-related pathways and immune-related pathways.

CONCLUSION

We identified the immune-related prognostic signature RS5_G and RS_Lnc. The predicting and grouping ability is close to being even better than those reported in other studies, especially in subgroups. This study provided prognostic signatures that may help clinicians to choose optimal treatment strategies and showed a new insight for NB treatment. These results need further biological experiments and clinical validation.

摘要

背景

免疫相关基因和长链非编码RNA(lncRNA)在神经母细胞瘤中的预后价值尚未阐明,尤其是在具有不同预后的亚组中。本研究旨在探索免疫相关的预后特征。

材料与方法

在训练集中通过单因素Cox回归分析确定免疫相关的预后基因和lncRNA。将前20个C指数基因和17个免疫相关lncRNA纳入预后模型构建,并采用随机森林和最小绝对收缩和选择算子(LASSO)回归算法进行特征选择。使用Kaplan-Meier曲线和受试者工作特征曲线构建并评估风险评分模型。使用STRING数据库对免疫相关lncRNA进行功能富集分析。

结果

在GSE49710中,五个免疫基因(细胞周期蛋白依赖性激酶4、磷脂酰肌醇-3激酶调节亚基1、甲状腺激素受体α、丝裂原活化蛋白激酶激酶2和ULBP2)被纳入风险评分五个基因(RS5_G)特征,11个免疫相关lncRNA(LINC00260、FAM13A1OS、AGPAT4-IT1、DUBR、MIAT、TSC22D1-AS1、DANCR、MIR137HG、ERC2-IT1、LINC01184、LINC00667)被纳入风险评分lncRNA(RS_Lnc)特征。根据中位数将患者分为高/低风险评分组。在训练和验证队列中,高评分患者的总生存期和无事件/无进展生存期均缩短。在亚组中也发现了相同的结果。在分组能力评估中,区分不同组的曲线下面积(AUC)范围为0.737至0.94,在训练队列中区分MYCN状态和高风险方面表现更好(高于0.9)。多因素Cox分析表明,RS5_G和RS_Lnc是总生存期和无事件/无进展生存期的独立危险因素(所有p值<0.001)。相关性分析表明,RS5_G和RS_Lnc与活化树突状细胞、CD8 + T细胞呈负相关,但与辅助性T细胞2呈正相关。功能富集分析表明,免疫相关lncRNA主要富集在癌症相关途径和免疫相关途径中。

结论

我们鉴定了免疫相关的预后特征RS5_G和RS_Lnc。其预测和分组能力接近甚至优于其他研究报道,尤其是在亚组中。本研究提供的预后特征可能有助于临床医生选择最佳治疗策略,并为神经母细胞瘤治疗提供了新的见解。这些结果需要进一步的生物学实验和临床验证。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74d3/7985261/7a328ca3134f/fonc-11-631546-g001.jpg

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