RYR2 mutation in non‐small cell lung cancer prolongs survival via down‐regulation of DKK1 and up‐regulation of GS1‐115G20.1 : A weighted gene Co‐expression network analysis and risk prognostic models

肺癌 生物 生存分析 基因 突变 突变体 腺癌 表型 内科学 癌症研究 肿瘤科 存活率 生物信息学
作者
Wenjun Ren,Yankang Li,Xi Chen,Sheng Hu,Wanli Cheng,Yu Cao,Jingcheng Gao,Xia Chen,Da Xiong,Hongrong Li,Ping Wang
出处
期刊:Iet Systems Biology [Institution of Engineering and Technology]
标识
DOI:10.1049/syb2.12038
摘要

RYR2 mutation is clinically frequent in non-small cell lung cancer (NSCLC) with its function being elusive. We downloaded lung squamous cell carcinoma and lung adenocarcinoma samples from the TCGA database, split the samples into RYR2 mutant group (n = 337) and RYR2 wild group (n = 634), and established Kaplan-Meier curves. The results showed that RYR2 mutant group lived longer than the wild group (p = 0.027). Weighted gene co-expression network analysis (WGCNA) of differentially expressed genes (DEGs) yielded prognosis-related genes. Five mRNAs and 10 lncRNAs were selected to build survival prognostic models with other clinical features. The AUCs of 2 models are 0.622 and 0.565 for predicting survival at 3 years. Among these genes, the AUCs of DKK1 and GS1-115G20.1 expression levels were 0.607 and 0.560, respectively, which predicted the 3-year survival rate of NSCLC sufferers. GSEA identified an association of high DKK1 expression with TP53, MTOR, and VEGF expression. Several target miRNAs interacting with GS1-115G20.1 were observed to show the relationship with the phenotype, treatment, and survival of NSCLC. NSCLC patients with RYR2 mutation may obtain better prognosis by down-regulating DKK1 and up-regulating GS1-115G20.1.

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
内向问旋完成签到 ,获得积分10
刚刚
科滴滴发布了新的文献求助10
2秒前
2秒前
2秒前
希望天下0贩的0应助乾乾采纳,获得10
3秒前
科研通AI6.1应助Y闫采纳,获得10
3秒前
Jasper应助第七个星球采纳,获得10
4秒前
HHH完成签到,获得积分10
4秒前
xiaoyan.yao发布了新的文献求助10
4秒前
量子星尘发布了新的文献求助10
5秒前
7秒前
8秒前
8秒前
m. Ji'e完成签到,获得积分10
9秒前
bonnie发布了新的文献求助10
10秒前
波谷发布了新的文献求助30
11秒前
11秒前
11秒前
vvSirius完成签到,获得积分10
12秒前
12秒前
科研通AI6.3应助丸子采纳,获得10
12秒前
12秒前
m. Ji'e发布了新的文献求助10
13秒前
13秒前
大个应助einspringen采纳,获得10
14秒前
14秒前
小张z发布了新的文献求助10
14秒前
14秒前
15秒前
15秒前
爆米花应助shuouman采纳,获得30
16秒前
所所应助科研通管家采纳,获得10
16秒前
16秒前
CipherSage应助科研通管家采纳,获得10
16秒前
共享精神应助科研通管家采纳,获得10
16秒前
17秒前
Ava应助科研通管家采纳,获得10
17秒前
小蘑菇应助科研通管家采纳,获得10
17秒前
FashionBoy应助科研通管家采纳,获得10
17秒前
wanci应助科研通管家采纳,获得10
17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
Aerospace Standards Index - 2026 ASIN2026 3000
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
Research Methods for Business: A Skill Building Approach, 9th Edition 500
Social Work and Social Welfare: An Invitation(7th Edition) 410
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6048142
求助须知:如何正确求助?哪些是违规求助? 7830344
关于积分的说明 16258668
捐赠科研通 5193539
什么是DOI,文献DOI怎么找? 2778922
邀请新用户注册赠送积分活动 1762264
关于科研通互助平台的介绍 1644479