[1]李占成　石　铁　周卫忠.胶质瘤自噬相关长链非编码RNA的生信分析[J].中国临床神经外科杂志,2021,26(11):839-841.[doi:10.13798/j.issn.1009-153X.2021.11.007]
　LI Zhan-cheng,SHI Tie,ZHOU Wei-zhong.Autophagy-related long non-coding RNA signature in glioma patients based on bioinformatics analysis[J].,2021,26(11):839-841.[doi:10.13798/j.issn.1009-153X.2021.11.007]
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胶质瘤自噬相关长链非编码RNA的生信分析()
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《中国临床神经外科杂志》[ISSN:1009-153X/CN:42-1603/TN]

卷:
26
期数:
2021年11期
页码:
839-841
栏目:
论著
出版日期:
2021-11-25

文章信息/Info

Title:
Autophagy-related long non-coding RNA signature in glioma patients based on bioinformatics analysis
文章编号:
1009-153X（2021）11-0839-03
作者:
李占成　石　铁　周卫忠
067000 河北承德，承德医学院附属中医院（承德市中医院）神经外科（李占成、石　铁、周卫忠）
Author(s):
LI Zhan-cheng;  SHI Tie;  ZHOU Wei-zhong
Department of Neurosurgery, Chengde Hospital of Traditional Chinese Medicine, Chengde, 067000, China
关键词:
胶质瘤; 细胞自噬; 长链非编码RNA; 预后
Keywords:
Glioma;  Autophagy;  Long non-coding RNA;  Prognosis
分类号:
R 739.41; Q 786
DOI:
10.13798/j.issn.1009-153X.2021.11.007
文献标志码:
A
摘要:
目的 探讨胶质瘤自噬相关长链非编码RNA（lncRNA）。方法 应用生信分析方法，首先检索CGGA和自噬基因列表来自人类自噬数据库（HADb），构建自噬相关lncRNA共表达网络；第二，多因素Cox回归分析胶质瘤预后相关的自噬相关lncRNA，并根据预后lncRNA计算风险评分，将胶质瘤分为低危组和高危组，采用生存曲线分析风险评分与胶质瘤预后的关系；最后，应用TCGA数据库进一步验证。结果 CGGA数据库筛选出879个lncRNA，HADb数据库筛选出216个自噬基因，构建出含402个lncRNA自噬相关lncRNA共表达网络；多因素Cox回归分析筛选出10个与胶质瘤病人预后有关的自噬相关lncRNA，而且根据这些lncRNA计算出的风险评分是胶质瘤病人预后的独立影响因素（P<0.05）；生存曲线分析显示低风险组中位生存时间（1 211 d）较高风险组（346 d）明显延长（P<0.05）。TCGA数据集共纳入160例胶质母细胞瘤（GBM），多因素Cox回归分析显示，风险评分是GBM独立预后影响因素（P<0.05）；生存曲线分析显示低风险组中位生存时间（468 d）较高风险组（385 d）明显延长（P<0.05）。结论 多个自噬相关lncRNA与胶质瘤预后相关，提示调控自噬相关lncRNA对胶质瘤具有潜在的治疗作用。
Abstract:
Objective To explore the autophagy-related long non-coding RNA (lncRNA) signature in the glioma patients. Methods Using the biosynthesis methods: firstly, the CGGA and HADb databases were searched to construct the autophagy-related lncRNA co-expression network; secondly, multivariate Cox regression analysis was used to analyze the relatioship of autophagy-related lncRNA and the prognosis of glioma patients, and then the risk score was calculated according to the lncRNA and the glioma patients were divided into low-risk group and high-risk group; thirdly, the survival curve was used to analyze the relationship between the risk score and the prognosis of glioma patients; finally, the TCGA database was used for further verification. Results Eight hundren and seventy-nine lncRNAs were screened out from the CGGA database and 216 autophagy genes were screened out from the HADb database. A co-expression network including 402 lncRNA autophagy-related lncRNAs was constructed. Multivariate Cox regression analysis showed 10 lncRNAs related to the prognosis of glioma patients. The risk score calculated based on these 10 autophagy-related lncRNAs was an independent factor influencing the prognosis of glioma patients (P<0.05). Survival curve analysis showed that the median survival time (1 211 d) of the low-risk group was significantly longer than that ( 346 d) of the higher-risk group (P<0.05). A total of 160 glioblastoma (GBM) patients were searched out from the TCGA database; multivariate Cox regression analysis showed that risk score was an independent prognostic factor of GBM patients (P<0.05); survival curve analysis showed that the median survival time of the low-risk group (468 d) was significantly longer than that (385 d) of the higher-risk group (P<0.05). Conclusions Many autophagy-related lncRNAs are related to the prognosis of glioma patients, suggesting that regulating autophagy-related lncRNAs has a potential therapeutic effect on glioma patients.

参考文献/References:

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更新日期/Last Update: 1900-01-01