Identification and validation of oxeiptosis-associated lncRNAs and prognosis-related signature genes to predict the immune status in uterine corpus endometrial carcinoma

列线图 生物 基因敲除 长非编码RNA 免疫系统 肿瘤科 基因 计算生物学 癌症研究 医学 遗传学 核糖核酸
作者
Linjun Niu,Zhengyuan Wu
出处
期刊:Aging [Impact Journals LLC]
卷期号:15 (10): 4236-4252 被引量:5
标识
DOI:10.18632/aging.204726
摘要

As a novel cell death modality, oxeiptosis is mainly caused by oxidative stress. However, the associations of uterine corpus endometrial carcinoma (UCEC) with oxeiptosis-associated long non-coding RNAs (lncRNAs) are unknown. Here, to identify hub oxeiptosis-associated lncRNAs in UCEC, we collected the data for lncRNAs and gene expression in UCEC from The Cancer Genome Atlas (TCGA) database. Then, a lncRNA risk signature was constructed, and its prognostic value was further evaluated. Finally, the expression levels of hub lncRNA HOXB-AS3 were validated by quantitative RT-PCR analysis. MTT and wounding analyses were also applied to confirm the role of HOXB-AS3 knockdown on UCEC cells. Five lncRNAs associated with oxeiptosis and connected to the prognosis of UCEC were identified, and a risk signature was constructed based on these identified lncRNAs. Our clinical value analyses suggested that the risk signature was closely connected to the overall survival, TNM stage, and grade of UCEC patients. Meanwhile, compared to the conventional clinicopathological characteristics, this risk signature exhibited significantly higher diagnostic accuracy. Moreover, the potential mechanism analysis indicated a close connection of this risk signature to tumor stemness, m6A-related genes, immune cell infiltration, and immune subtypes. Based on the risk scores, we constructed a nomogram. In vitro experiments found that HOXB-AS3 was significantly higher expressed in UCEC cells, and the silence of HOXB-AS3 inhibited the proliferation and migration of UCEC cells. In conclusion, using five hub lncRNAs associated with oxeiptosis, we generated a risk signature, which could be applied in the novel therapeutic strategies of UCEC development.
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
小胡完成签到,获得积分10
刚刚
朝明完成签到 ,获得积分10
1秒前
的墨完成签到,获得积分10
1秒前
GGbond完成签到,获得积分10
2秒前
LF-Scie完成签到,获得积分10
2秒前
NANO完成签到,获得积分10
2秒前
小小鱼儿完成签到,获得积分10
2秒前
笑笑完成签到 ,获得积分10
2秒前
CAROLALALA完成签到,获得积分10
3秒前
口爱DI乔巴完成签到,获得积分10
3秒前
科研通AI6.4应助陈崟采纳,获得10
3秒前
baobaoxiong完成签到,获得积分10
3秒前
HZYT完成签到,获得积分10
3秒前
昭荃完成签到 ,获得积分0
5秒前
夏冰完成签到,获得积分10
5秒前
小王子完成签到,获得积分10
5秒前
jd完成签到,获得积分10
6秒前
Eurus完成签到 ,获得积分10
6秒前
学在大闽完成签到,获得积分10
7秒前
先字母完成签到,获得积分10
7秒前
jacob发布了新的文献求助10
7秒前
穑1完成签到,获得积分10
7秒前
黑土发布了新的文献求助10
8秒前
Tatum完成签到,获得积分10
8秒前
石敢当完成签到,获得积分10
8秒前
8秒前
背光完成签到,获得积分10
8秒前
Gavin应助橘生淮南采纳,获得30
9秒前
英勇冰蓝完成签到,获得积分10
9秒前
hi_traffic发布了新的文献求助10
9秒前
充电宝应助端庄的过客采纳,获得10
9秒前
9秒前
Rhea完成签到,获得积分10
10秒前
看文献了完成签到,获得积分10
10秒前
yzl科研爱我完成签到,获得积分10
10秒前
一只住在海边的猫完成签到,获得积分0
11秒前
demi2333完成签到,获得积分10
11秒前
xy完成签到,获得积分10
11秒前
有点意思完成签到,获得积分10
11秒前
美好稚晴完成签到 ,获得积分10
12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
Principles of town planning: translating concepts to applications 1000
Navigating Normative Orders. Interdisciplinary Perspectives 800
1 Peter and Christ's Descent to the Dead in Its Early Christian Reception 700
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 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7739058
求助须知:如何正确求助?哪些是违规求助? 9287966
关于积分的说明 20185737
捐赠科研通 7317031
什么是DOI,文献DOI怎么找? 3306023
关于科研通互助平台的介绍 2458537
邀请新用户注册赠送积分活动 2315956