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

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
ACS Applied Electronic Materials Pub Date : 2021-03-09 eCollection Date: 2021-01-01 DOI:10.3389/fonc.2021.631546
Xiaodan Zhong, Ying Tao, Jian Chang, Yutong Zhang, Hao Zhang, Linyu Wang, Yuanning Liu
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引用次数: 12

摘要

背景:免疫相关基因和lncrna在神经母细胞瘤中的预后价值尚未阐明,特别是在预后不同的亚组中。本研究旨在探讨免疫相关的预后特征。材料和方法:在训练集中通过单因素Cox回归分析鉴定免疫相关预后基因和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,采用随机森林和最小绝对收缩和选择算子(Least Absolute Shrinkage and Selection Operator, LASSO)回归算法选择特征。采用Kaplan-Meier图和受试者工作特征曲线构建风险评分模型并进行评估。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,5个免疫基因(CDK4、PIK3R1、THRA、MAP2K2和ULBP2)被纳入风险评分5个基因(RS5_G)特征,11个免疫相关lncRNAs (LINC00260、FAM13A1OS、AGPAT4-IT1、DUBR、MIAT、TSC22D1-AS1、DANCR、MIR137HG、ERC2-IT1、LINC01184、LINC00667)被纳入风险评分lncRNAs (RS_Lnc)特征。患者按中位数分为高/低风险评分组。在训练和验证队列中,得分高的患者的总生存期和无事件/无进展生存期均缩短。在亚组中也发现了同样的结果。在分组能力评价中,区分不同分组的曲线下面积(aus)在0.737 ~ 0.94之间,在区分MYCN状态和培训队列的高风险方面较好(大于0.9)。多因素Cox分析显示,RS5_G和RS_Lnc是总生存率和无事件/无进展生存率的独立危险因素(均p值)。结论:我们确定了免疫相关的预后标志RS5_G和RS_Lnc。预测和分组能力接近甚至优于其他研究报告,特别是在亚组中。这项研究提供了预后特征,可以帮助临床医生选择最佳的治疗策略,并为NB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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prognostic Signature of Immune Genes and Immune-Related LncRNAs in Neuroblastoma: A Study Based on GEO and TARGET Datasets.

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.

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来源期刊
CiteScore
7.20
自引率
4.30%
发文量
567
期刊介绍: ACS Applied Electronic Materials is an interdisciplinary journal publishing original research covering all aspects of electronic materials. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials science, engineering, optics, physics, and chemistry into important applications of electronic materials. Sample research topics that span the journal's scope are inorganic, organic, ionic and polymeric materials with properties that include conducting, semiconducting, superconducting, insulating, dielectric, magnetic, optoelectronic, piezoelectric, ferroelectric and thermoelectric. Indexed/​Abstracted: Web of Science SCIE Scopus CAS INSPEC Portico
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