Comprehensive analysis reveals that LTBR is a immune-related biomarker for glioma

胶质瘤 生物标志物 免疫系统 计算机科学 癌症研究 医学 生物 免疫学 遗传学
作者
Qisheng Tang,Yifan Yuan,Lingjuan Li,Yue Xu,Wei Ji,Siyu Xiao,Yi Han,Wenrong Miao,Jing Cai,Pu You,Ming Chen,Saineng Ding,Zhen Li,Zengxin Qi,Weiliang Hou,Hao Luo
出处
期刊:Computers in Biology and Medicine [Elsevier]
卷期号:174: 108457-108457 被引量:5
标识
DOI:10.1016/j.compbiomed.2024.108457
摘要

Glioma is a common malignant brain tumor with great heterogeneity and huge difference in clinical outcomes. Although lymphotoxin (LT) beta receptor (LTBR) has been linked to immune system and response development for decades, the expression and function in glioma have not been investigated. To confirm the expression profile of LTBR, integrated RNA-seq data from glioma and normal brain tissues were analyzed. Functional enrichment analysis, TMEscore analysis, immune infiltration, the correlation of LTBR with immune checkpoints and ferroptosis, and scRNAseq data analysis in gliomas were in turn performed, which pointed out that LTBR was pertinent to immune functions of macrophages in gliomas. In addition, after being trained and validated in the tissue samples of the integrated dataset, an LTBR DNA methylation-based prediction model succeeded to distinguish gliomas from non-gliomas, as well as the grades of glioma. Moreover, by virtue of the candidate LTBR CpG sites, a prognostic risk-score model was finally constructed to guide the chemotherapy, radiotherapy, and immunotherapy for glioma patients. Taken together, LTBR is closely correlated with immune functions in gliomas, and LTBR DNA methylation could serve as a biomarker for diagnosis and prognosis of gliomas.
最长约 10秒,即可获得该文献文件

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
刚刚
独特秋灵完成签到,获得积分10
刚刚
饶天源发布了新的文献求助10
刚刚
炙热秋翠发布了新的文献求助10
刚刚
1秒前
260929667发布了新的文献求助10
1秒前
sswbzh应助ruru采纳,获得100
1秒前
1秒前
幽默的季节完成签到 ,获得积分10
1秒前
1秒前
清脆糖豆完成签到,获得积分10
1秒前
2秒前
2秒前
kk发布了新的文献求助50
2秒前
zyx发布了新的文献求助10
3秒前
英吉利25发布了新的文献求助10
3秒前
NoGtime发布了新的文献求助10
3秒前
Zzz完成签到,获得积分10
3秒前
3秒前
小二郎应助Kilig采纳,获得10
4秒前
4秒前
4秒前
4秒前
李健应助LJL采纳,获得10
4秒前
感动初柔发布了新的文献求助10
4秒前
yuyeww完成签到,获得积分20
5秒前
lyyyyyy完成签到 ,获得积分10
5秒前
暮商零七应助陈喆采纳,获得10
5秒前
6秒前
orixero应助柠檬采纳,获得10
7秒前
7秒前
量子星尘发布了新的文献求助10
7秒前
7秒前
小罗黑的完成签到,获得积分10
8秒前
可爱的函函应助洛溪汐采纳,获得10
9秒前
man发布了新的文献求助10
9秒前
yuyeww发布了新的文献求助20
9秒前
斯文败类应助老实的鞋垫采纳,获得10
10秒前
汉堡包应助张巨锋采纳,获得10
10秒前
Thomas完成签到,获得积分10
10秒前
高分求助中
2025-2031全球及中国金刚石触媒粉行业研究及十五五规划分析报告 15000
(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
The Cambridge History of China: Volume 4, Sui and T'ang China, 589–906 AD, Part Two 1000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1000
Russian Foreign Policy: Change and Continuity 800
Real World Research, 5th Edition 800
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5702211
求助须知:如何正确求助?哪些是违规求助? 5146544
关于积分的说明 15236307
捐赠科研通 4857061
什么是DOI,文献DOI怎么找? 2606252
邀请新用户注册赠送积分活动 1557530
关于科研通互助平台的介绍 1515329