Immune-related gene signature associates with immune landscape and predicts prognosis accurately in patients with Wilms tumour

免疫系统 免疫疗法 提吉特 比例危险模型 列线图 生物 肿瘤科 癌症研究 免疫学 医学 内科学
作者
Xiaomao Tian,Bin Xiang,Liming Jin,Tao Mi,Jin-Kui Wang,Chenghao Zhanghuang,Zhaoxia Zhang,Meiling Chen,Qinlin Shi,Feng Liu,Tao Lin,Guanghui Wei
出处
期刊:Frontiers in Immunology [Frontiers Media SA]
卷期号:13 被引量:7
标识
DOI:10.3389/fimmu.2022.920666
摘要

Wilms tumour (WT) is the most common kidney malignancy in children. Chemoresistance is the leading cause of tumour recurrence and poses a substantial therapeutic challenge. Increasing evidence has underscored the role of the tumour immune microenvironment (TIM) in cancers and the potential for immunotherapy to improve prognosis. There remain no reliable molecular markers for reflecting the immune landscape and predicting patient survival in WT. Here, we examine differences in gene expression by high-throughput RNA sequencing, focused on differentially expressed immune-related genes (IRGs) based on the ImmPort database. Via univariate Cox regression analysis and Lasso-penalized Cox regression analysis, IRGs were screened out to establish an immune signature. Kaplan-Meier curves, time-related ROC analysis, univariate and multivariate Cox regression studies, and nomograms were used to evaluate the accuracy and prognostic significance of this signature. Furthermore, we found that the immune signature could reflect the immune status and the immune cell infiltration character played in the tumour microenvironment (TME) and showed significant association with immune checkpoint molecules, suggesting that the poor outcome may be partially explained by its immunosuppressive TME. Remarkably, TIDE, a computational method to model tumour immune evasion mechanisms, showed that this signature holds great potential for predicting immunotherapy responses in the TARGET-wt cohort. To decipher the underlying mechanism, GSEA was applied to explore enriched pathways and biological processes associated with immunophenotyping and Connectivity map (CMap) along with DeSigN analysis for drug exploration. Finally, four candidate immune genes were selected, and their expression levels in WT cell lines were monitored via qRT-PCR. Meanwhile, we validated the function of a critical gene, NRP2. Taken together, we established a novel immune signature that may serve as an effective prognostic signature and predictive biomarker for immunotherapy response in WT patients. This study may give light on therapeutic strategies for WT patients from an immunological viewpoint.
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
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
我咋说完成签到,获得积分20
刚刚
钢笔发布了新的文献求助10
1秒前
快乐东蒽完成签到,获得积分10
1秒前
3秒前
TiY完成签到 ,获得积分10
3秒前
隐形曼青应助科研通管家采纳,获得10
3秒前
CWNU_HAN应助科研通管家采纳,获得30
3秒前
orixero应助科研通管家采纳,获得10
4秒前
AlinaG应助科研通管家采纳,获得10
4秒前
NexusExplorer应助科研通管家采纳,获得10
4秒前
JamesPei应助科研通管家采纳,获得10
4秒前
wanci应助科研通管家采纳,获得10
4秒前
领导范儿应助科研通管家采纳,获得10
4秒前
乐乐应助科研通管家采纳,获得10
4秒前
大模型应助科研通管家采纳,获得10
4秒前
KK应助科研通管家采纳,获得10
4秒前
我是老大应助科研通管家采纳,获得10
4秒前
8秒前
Chris完成签到,获得积分10
8秒前
钢笔完成签到,获得积分10
9秒前
yulian完成签到,获得积分10
10秒前
fan发布了新的文献求助10
11秒前
superZ完成签到,获得积分10
12秒前
当时只道是寻常完成签到,获得积分10
14秒前
小兵完成签到,获得积分10
15秒前
N-Kwan完成签到,获得积分20
16秒前
科研通AI2S应助YYY采纳,获得10
17秒前
18秒前
隐形曼青应助yzx采纳,获得10
19秒前
20秒前
盛夏光年完成签到,获得积分10
21秒前
昏睡的一一完成签到,获得积分10
22秒前
23秒前
科目三应助森林采纳,获得10
23秒前
苻醉山完成签到 ,获得积分10
23秒前
盛夏光年发布了新的文献求助10
24秒前
鼠鼠想养猫完成签到,获得积分10
24秒前
风中的智哥完成签到,获得积分10
28秒前
qujunming完成签到 ,获得积分10
30秒前
31秒前
高分求助中
Teaching Social and Emotional Learning in Physical Education 900
Plesiosaur extinction cycles; events that mark the beginning, middle and end of the Cretaceous 800
Recherches Ethnographiques sue les Yao dans la Chine du Sud 500
Two-sample Mendelian randomization analysis reveals causal relationships between blood lipids and venous thromboembolism 500
Chinese-English Translation Lexicon Version 3.0 500
Wisdom, Gods and Literature Studies in Assyriology in Honour of W. G. Lambert 400
薩提亞模式團體方案對青年情侶輔導效果之研究 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 有机化学 工程类 生物化学 纳米技术 物理 内科学 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 电极 光电子学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 2392033
求助须知:如何正确求助?哪些是违规求助? 2096714
关于积分的说明 5282358
捐赠科研通 1824242
什么是DOI,文献DOI怎么找? 909820
版权声明 559877
科研通“疑难数据库(出版商)”最低求助积分说明 486170