[1]赵亮,章佳跃,刘志远,等.基于多个lncRNA表达量的风险模型预测胶质母细胞瘤患者预后的研究[J].临床神经外科杂志,2020,17(02):164-170.[doi:DOI:10.3969/j.issn.1672-7770.2020.02.010]
　ZHAO Liang,ZHANG Jia-yue,LIU Zhi-yuan,et al.A lncRNA-expression-based risk model can better improve prognosis prediction in patients with glioblastoma[J].Journal of Clinical Neurosurgery,2020,17(02):164-170.[doi:DOI:10.3969/j.issn.1672-7770.2020.02.010]
点击复制

基于多个lncRNA表达量的风险模型预测胶质母细胞瘤患者预后的研究()
分享到：

《临床神经外科杂志》[ISSN:1672-7770/CN:32-1727/R]

卷:
17
期数:
2020年02期
页码:
164-170
栏目:
论著
出版日期:
2020-04-15

文章信息/Info

Title:
A lncRNA-expression-based risk model can better improve prognosis prediction in patients with glioblastoma
文章编号:
202002010
作者:
赵亮; 章佳跃; 刘志远; 王宇; 赵鹏
210029 南京医科大学第一附属医院神经外科
Author(s):
ZHAO Liang;  ZHANG Jia-yue;  LIU Zhi-yuan;  et al.
Department of Neurosurgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
关键词:
胶质母细胞瘤; 长链非编码RNA; 预后; 模型
Keywords:
glioblastoma;  long non-coding RNA;  prognosis;  model
分类号:
R739.41
DOI:
DOI:10.3969/j.issn.1672-7770.2020.02.010
文献标志码:
A
摘要:
目的构建基于长链非编码RNA（lncRNA）的风险模型；研究其预测胶质母细胞瘤（GBM）患者预后和指导临床管理的价值。方法从肿瘤基因组图谱计划（TCGA）和GSE16011中的GBM转录组表达数据，筛选出在GBM中异常表达的lncRNA。通过单因素Cox回归分析鉴定出与GBM患者生存相关的lncRNA。采用LASSO回归进一步筛选目标lncRNA，最终构建基于lncRNA表达量的风险模型。用Kaplan-Meier生存曲线评估不同风险组患者在预后方面的差异。整合风险模型和临床病理特征构建列线图，并通过校正曲线和决策曲线分析验证其在实际临床管理中的价值。结果鉴定出26个肿瘤中差异表达的lncRNA，并筛选出8个与预后相关的lncRNA。通过LASSO回归分析最终确定了7个候选lncRNA，并成功构建基于lncRNA的风险模型。在TCGA和GSE16011数据库中，高风险患者的生存时间显著差于低风险组；同时该模型在预测患者预后方面有良好表现。风险模型和临床病理特征构建的列线图能个体化地预测GBM患者预后，以及指导临床治疗决策。结论基于lncRNA构建的风险模型能够作为预测GBM预后的生物标志物；并为研究GBM发生发展的潜在机制提供新的思路。
Abstract:
Objective To construct a risk model to predict the prognosis of glioblastoma(GBM) patients and direct clinical management based on disregulated long non-coding RNA(lncRNAs) in GBM. Methods Aberrant expressed lncRNAs were filtered using transcription profiles from The Cancer Genome Atlas Project(TCGA) GBM database and GSE16011 cohort. Univariate Cox regression analysis was performed to identify prognostic lncRNAs. The least absolute shrinkage and selection operator(LASSO) cox model was used to narrow down candidate lncRNAs and a risk score model was built subsequently. The difference of prognosis in different risk groups was evaluated using Kaplan-Meier survival curve. A nomogram which integrated clinicopathological features and the risk score was built. Calibration curve and decision curve analysis were used to estimate the potential value of this nomogram in clinical management. Results 26 disregulated lncRNAs in GBM were filtered and eight prognostic lncRNAs were identified. Seven lncRNAs were further selected to build a lncRNA-expression-based risk model by performing LASSO Cox model. In both TCGA GBM database and GSE16011 cohort, high-risk group indicated a worse prognosis compared with low-risk group. The seven-lncRNAs-based signature was proved as an efficient predictor of overall survival by a series of integrated bioinformatics analyses. Finally, the nomogram which integrated clinicopathological features and the risk score was proved to predict the prognosis of GBM patients and guide clinical decision making effectively. Conclusion The lncRNA-expression-based signature can serve as a biomarker for predicting the prognosis of GBM patients. This study may provide novel insights to further explore the potential mechanisms behind the progression of GBM.

相似文献/References:

[1]丁一,潘俊辰,罗正祥,等.长链非编码RNA SPRY4-IT1在脑胶质瘤中的表达及对U87细胞功能的影响[J].临床神经外科杂志,2014,(03):165.
[2]刘翔宇,孙康健,王汉东,等.荧光实时监测贝伐单抗治疗胶质母细胞移植瘤的实验研究[J].临床神经外科杂志,2016,(02):110.
　LIU Xiang-yu,SUN Kang-jian,WANG Han-dong,et al.Bioluminescent imaging of the impact of bevacizumab on anti-proliferation and angiogenesis in human glioblastomaxenografts in vivo[J].Journal of Clinical Neurosurgery,2016,(02):110.
[3]王天伟,牛小东,毛庆.《艾滋病合并胶质瘤2例报告及文献复习》[J].临床神经外科杂志,2017,14(02):91.
　WANG Tian-wei,NIU Xiao-dong,MAO Qing..Glioblastoma in patient with AIDS：two cases report and review of literatures[J].Journal of Clinical Neurosurgery,2017,14(02):91.
[4]李凌,黄红星,邹叔骋,等.以癫痫为首发症状的胶质母细胞瘤预后影响因素分析[J].临床神经外科杂志,2018,15(03):170.
　LI Ling,HUANG Hong-xing,ZOU Shu-cheng,et al.Prognostic factors of glioblastoma presenting with epilepsy as a primary symptom[J].Journal of Clinical Neurosurgery,2018,15(02):170.
[5]李焦明,甘有均,牛小东,等.不典型胶质母细胞瘤误诊为脑包虫病1例报告及文献复习[J].临床神经外科杂志,2018,15(05):384.[doi:10.3969/j.issn.1672-7770.2018.05.016]
　LI Jiao-ming,GAN You-jun,NIU Xiao-dong,et al.Atypical glioblastoma misdiagnosed as echinococcosis(a report of 1 case and review of literature)[J].Journal of Clinical Neurosurgery,2018,15(02):384.[doi:10.3969/j.issn.1672-7770.2018.05.016]
[6]倪春霞,张玺炜,汪洋,等.顺铂联合替莫唑胺放化疗治疗MGMT启动子未甲基化胶质母细胞瘤的初步研究[J].临床神经外科杂志,2019,16(1):6.[doi:10.3969/j.issn.1672-7770.2019.01.002]
　NI Chun-xia,ZHANG Xi-wei,WANG Yang,et al.Randomized controlled trial design and analysis of preliminary result on cisplatin combined with radiotherapy and concurrent chemotherapy of Temozolomide in MGMT unmethylated glioblastomas[J].Journal of Clinical Neurosurgery,2019,16(02):6.[doi:10.3969/j.issn.1672-7770.2019.01.002]
[7]李顺,邱娜,叶成坤,等.MRI纹理分析在脑脓肿与胶质母细胞瘤鉴别诊断中的应用价值[J].临床神经外科杂志,2019,16(3):245.[doi:10.3969/j.issn.1672-7770.2019.03.013]
　LI Shun,QIU Na,YE Cheng-kun,et al.MRI texture analysis on differential diagnosis of brain abscess and glioblastoma[J].Journal of Clinical Neurosurgery,2019,16(02):245.[doi:10.3969/j.issn.1672-7770.2019.03.013]
[8]高洪元,张玺炜,汪洋,等.TERTp和1p/19q对顺铂联合替莫唑胺同期放化疗治疗MGMT启动子未甲基化GBM的预后影响[J].临床神经外科杂志,2019,16(4):289.[doi:10.3969/j.issn.1672-7770.2019.04.003]
　GAO Hong-yuan,ZHANG Xi-wei,WANG Yang,et al.Prognostic value of TERTp and 1p/19q in cisplatin combined with temozolomide concurrent chemoradiotherapy for newly diagnosed GBM with unmethylated MGMT promoter[J].Journal of Clinical Neurosurgery,2019,16(02):289.[doi:10.3969/j.issn.1672-7770.2019.04.003]
[9]屈洪彬,左争辉,李治晓,等.多模态精准手术在老年胶质母细胞瘤治疗中的应用价值[J].临床神经外科杂志,2020,17(04):423.[doi:DOI:10.3969/j.issn.1672-7770.2020.04.014]
　QU Hong-bin,ZUO Zheng-hui,LI Zhi-xiao,et al.Applied value of multimodal precision surgery in treatment of glioblastoma in elderly[J].Journal of Clinical Neurosurgery,2020,17(02):423.[doi:DOI:10.3969/j.issn.1672-7770.2020.04.014]

更新日期/Last Update: 2020-04-21