亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Identification and validation of an individualized prognostic signature of lower-grade glioma based on nine immune related long non-coding RNA

胶质瘤 免疫系统 比例危险模型 医学 列线图 肿瘤科 生存分析 长非编码RNA 小桶 单变量分析 内科学 核糖核酸 转录组 癌症研究 免疫学 基因 多元分析 生物 基因表达 遗传学
作者
Aierpati Maimaiti,Lei Jiang,Xixian Wang,Xin Shi,Yinan Pei,Yujun Hao,Halimureti Paerhati,Yierpan Zibibula,Abulikemu Abudujielili,Maimaitijiang Kasimu
出处
期刊:Clinical Neurology and Neurosurgery [Elsevier BV]
卷期号:201: 106464-106464 被引量:19
标识
DOI:10.1016/j.clineuro.2020.106464
摘要

Low-grade glioma (LGG)is one of the most common and aggressive neurological malignant tumors of the central nervous system. Mounting evidence indicates that aberrantly expressed long non-coding RNA (lncRNAs) and immune cell infiltration influence low-grade glioma development. Despite the increasing amount of research on lncRNA, there are very few immune-related lncRNA for LGG studies. We evaluated immune cell infiltration in 529 low-grade glioma patient specimens from TCGA and 1152 normal brain tissue samples from GTEx. ssGSEA was used to generate high, medium, and low immune cell infiltration groups and to examine the heterogeneity of the low-grade glioma immune microenvironment. A risk model of immune-related lncRNAs based on immune gene sets was developed. Sequential single-factor Cox regression, Lasso regression, and stepwise multiple Cox regression analyses uncovered immune-related lncRNAs with low-grade glioma prognostic value. Kaplan-Meier analysis, ROC analysis, and nomograms were used to predict low-grade glioma OS. At length, We performed GO term and KEGG enrichment analyses and used standardized enrichment scores (NES) to identify signaling pathways that were significantly enriched. We identified nine immune-associated lncRNAs with low-grade glioma prognostic value (AC009283.1, AC009227.1, AL121899.1, LINC00174, LINC02166, AC018647.1, AC061961.1, NRAV, and LINC00320).These prognostic lncRNAs were used to establish prognostic markers. Kaplan-Meier Survival analysis revealed a 10-year survival rate of 22.68 % (95 % CI: 13.54–38 %] in high-risk LGG vs. 54 % (95 % CI: 39.04–74.8 %] in low-risk LGG patients. Univariate Cox regression analysis showed that the HR of risk score and 95 % CI were 1.081 and (1.060–1.102) (p < 0.001), respectively. In contrast, those from multivariate Cox regression analysis were 1.066 and (1.046–1.087) (p < 0.001). This indicated that nine LncRNAs are independent prognostic factors for patients with low-grade glioma. GSEA suggests that the identified lncRNAs influence low-grade glioma tumorigenesis and prognosis by modulating immune responses and cancer pathways. Our data highlight the potential prognostic value of the nine immune-related lncRNA in low-grade glioma and may open new research lines and guide low-grade glioma management.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
NexusExplorer应助真实的青旋采纳,获得10
刚刚
一直游到海的对岸完成签到,获得积分10
2秒前
xqh完成签到,获得积分10
6秒前
陈sir完成签到 ,获得积分10
7秒前
南猫喵完成签到,获得积分10
11秒前
12秒前
bjyx完成签到 ,获得积分10
14秒前
科研通AI6.1应助Photoredox采纳,获得10
14秒前
18秒前
21秒前
一方完成签到,获得积分20
21秒前
小易完成签到 ,获得积分10
24秒前
一方发布了新的文献求助30
24秒前
ding应助落后的嫣然采纳,获得10
27秒前
Ava应助预则立采纳,获得10
29秒前
陈蒙医生应助小雨淅淅采纳,获得10
33秒前
大个应助小雨淅淅采纳,获得10
33秒前
36秒前
满意的伊完成签到,获得积分10
37秒前
笑点低忆之完成签到 ,获得积分10
39秒前
40秒前
beiwei完成签到 ,获得积分10
41秒前
nini完成签到,获得积分10
41秒前
sssmm发布了新的文献求助10
41秒前
42秒前
碧蓝皮卡丘完成签到,获得积分10
44秒前
预则立发布了新的文献求助10
45秒前
46秒前
49秒前
坚强皮皮虾完成签到,获得积分20
49秒前
yyy完成签到 ,获得积分10
50秒前
Kunning完成签到 ,获得积分10
52秒前
hanlinhong发布了新的文献求助10
53秒前
pylchm发布了新的文献求助10
54秒前
嘉欣发布了新的文献求助20
55秒前
Aiden发布了新的文献求助10
56秒前
大雪完成签到 ,获得积分10
1分钟前
平头张完成签到,获得积分10
1分钟前
陶珊完成签到,获得积分20
1分钟前
淡定满天完成签到,获得积分10
1分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Developing Genetic Editing Tools for Lysobacter 2000
卤化钙钛矿人工突触的研究 2000
Моделирование процессов самоорганизации в кристаллообразующих системах 1000
History of U.S. Space Surveillance and Satellite Cataloging 1000
Malcolm Fraser : a biography 700
Handbook of Optical Systems,Volume 6:Advanced Physical Optics 666
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6515322
求助须知:如何正确求助?哪些是违规求助? 8308507
关于积分的说明 17756636
捐赠科研通 5617156
什么是DOI,文献DOI怎么找? 2924916
邀请新用户注册赠送积分活动 1901955
关于科研通互助平台的介绍 1763277