Cuproptosis‐related classification and personalized treatment in lower‐grade gliomas to prompt precise oncology

肿瘤科 列线图 免疫疗法 免疫系统 胶质瘤 内科学 医学 肿瘤微环境 生物 癌症研究 免疫学
作者
Nanxi Shen,Shu Chen,Dong Liu,Xiangde Min,Qiaoyun Tan
出处
期刊:Journal of Gene Medicine [Wiley]
卷期号:25 (6) 被引量:2
标识
DOI:10.1002/jgm.3486
摘要

Cuproptosis is implicated in regulating tricarboxylic acid cycle and associated with tumor therapeutic sensitivity, patient outcomes and tumorigenesis. However, the classification and prognostic effect of cuproptosis-associated genes (CAGs), the relationship between cuproptosis and tumor microenvironment (TME) and the treatment of lower-grade glioma (LrGG) remain enigmatic.The genetic and transcriptional alterations, prognostic value and classification related to cuproptosis were systematically analyzed. Subtypes of cuproptosis and cuproptosis score (Cuscore) were constructed and further confirmed by two external cohorts. The relationships between cuproptosis and TME, prognosis, and treatment response were also evaluated.Four clusters were identified based on cuproptosis-associated genes. The associations between cuproptosis-associated clusters and clinical features, prognosis, immune cell infiltration, and chemotherapy sensitivity were observed. The Cuscore is an independent prognostic indicator in LrGG patients. The nomogram is constructed according to Cuscore and clinical characteristics, and has good predictive ability and calibration. Patients with high Cuscore had a worse prognosis and advanced performance. A higher Cuscore also indicated a higher stromal score, abundant immune infiltration, and increased tumor mutation burden. A high Cuscore was remarkably related to immune checkpoint inhibitors, immunotherapy response and immune phenotype.This study demonstrates the clinical effect of CAGs, and suggests that cuproptosis could be a potential therapeutic target in LrGG.

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
欧阳月空完成签到,获得积分10
1秒前
洋洋完成签到 ,获得积分10
1秒前
frankyeah完成签到,获得积分10
2秒前
自然谷波完成签到,获得积分10
3秒前
william完成签到,获得积分10
3秒前
3秒前
waveless完成签到,获得积分10
3秒前
hanwy完成签到,获得积分10
3秒前
橙味美年达完成签到,获得积分10
3秒前
想笑的老锅完成签到,获得积分10
4秒前
xyt完成签到 ,获得积分20
5秒前
6秒前
芹菜完成签到,获得积分10
6秒前
浪浪浪浪浪lang完成签到,获得积分10
7秒前
快乐香水完成签到 ,获得积分10
7秒前
老仙翁完成签到,获得积分10
8秒前
怕黑山晴完成签到,获得积分10
10秒前
不安丹云完成签到,获得积分10
11秒前
摸鱼专家完成签到 ,获得积分10
11秒前
机智的山水完成签到,获得积分10
12秒前
Orange应助六六采纳,获得10
12秒前
宋宋宋完成签到 ,获得积分10
13秒前
,,完成签到,获得积分10
13秒前
13秒前
四辈完成签到,获得积分10
14秒前
yunt完成签到 ,获得积分10
14秒前
愛二丨一人夕日乚完成签到 ,获得积分10
18秒前
完美幻桃完成签到,获得积分10
18秒前
Blaseaka完成签到 ,获得积分0
19秒前
平常的外套完成签到 ,获得积分10
20秒前
追寻紫蓝完成签到,获得积分10
20秒前
wxx771510625完成签到 ,获得积分10
20秒前
哈基米完成签到 ,获得积分10
22秒前
菜鸟学习完成签到 ,获得积分10
23秒前
玖月完成签到 ,获得积分0
24秒前
Yonckham完成签到,获得积分10
25秒前
26秒前
笑对人生完成签到 ,获得积分10
27秒前
kingyuan完成签到,获得积分10
28秒前
阿拉完成签到,获得积分10
28秒前
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
Rosenblum, Global Change Biology 800
自動車の空力技術 800
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7778504
求助须知:如何正确求助?哪些是违规求助? 9318811
关于积分的说明 20366349
捐赠科研通 7365581
什么是DOI,文献DOI怎么找? 3319214
关于科研通互助平台的介绍 2467170
邀请新用户注册赠送积分活动 2334675