Distinct Patterns of mRNA and lncRNA Expression Differences Between Lung Squamous Cell Carcinoma and Adenocarcinoma

竞争性内源性RNA 生物 腺癌 小RNA 基因 癌症研究 基因调控网络 基因表达 长非编码RNA 计算生物学 核糖核酸 癌症 遗传学
作者
Yingxuan Tian,Min Yu,Li Sun,Linghua Liu,Jun Wang,Ke Hui,Qiaofeng Nan,Xinyu Nie,Yajuan Ren,Xiaoping Ren
出处
期刊:Journal of Computational Biology [Mary Ann Liebert, Inc.]
卷期号:27 (7): 1067-1078 被引量:20
标识
DOI:10.1089/cmb.2019.0164
摘要

This study aimed to assess mRNA and lncRNA expression differences between lung squamous cell carcinoma (LUSC) and lung adenocarcinoma (LUAD). Cancer tissues were obtained from three LUSC and three LUAD patients, followed by RNA-seq. Differentially expressed mRNAs (DE-mRNAs) and lncRNAs (DE-lncRNAs) were identified between LUSC and LUAD, after which functional enrichment analysis and protein-protein interaction (PPI) network construction was performed on DEGs. Coexpression analysis of lncRNA-gene and prediction of DEG-related miRNAs as well as function enrichment analysis, and construction of competing endogenous RNAs (ceRNA) regulatory network were then conducted. Moreover, survival analysis on differentially expressed RNAs was performed based on data downloaded from The Cancer Genome Atlas (TCGA) database. In this study, 518 DEGs and 117 DE-lncRNAs were identified between LUSC and LUAD. The DEGs were mainly associated with cell adhesion, PI3K-Akt signaling pathway, and focal adhesion. PPI network analysis indicated several genes with highest connectivity, such as CCND1. DE-lncRNAs that coexpressed with DEGs were also associated with tight junction and DE-lncRNAs that had more corepressed relationships with DEGs included GSEC, NKX2-1-AS1, LINC01415, and LINC00839. Moreover, the genes and lncRNAs with higher connectivity in the ceRNA network included NEAT1, SLC5A3, LINC00839, ETV1, CMTM4, and SNX30. Several genes were significantly related to the survival of patients with LUSC and LUAD, including ETV1, RTKN2, SNX30, PAK2, and CCND1. Genes and lncRNAs associated with cell junction have specific patterns in two major histological subtypes of NSCLC. GSEC, NKX2-1-AS1, NEAT1, CCND1, and ETV1 may be potential novel biomarkers for personalized treatment strategies of NSCLC.
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
一坨完成签到 ,获得积分10
刚刚
xjcy应助lsl采纳,获得10
1秒前
2秒前
竹浠完成签到,获得积分10
3秒前
Avalonx应助cm采纳,获得50
3秒前
4秒前
月光发布了新的文献求助10
5秒前
6秒前
xjcy应助NM77采纳,获得10
6秒前
CHEN发布了新的文献求助10
7秒前
zzz完成签到,获得积分10
10秒前
小丁1127发布了新的文献求助10
11秒前
大爱仙尊完成签到,获得积分10
12秒前
科研小菜鸡完成签到 ,获得积分10
14秒前
15秒前
15秒前
17秒前
短发em发布了新的文献求助10
18秒前
18秒前
枕风完成签到,获得积分10
18秒前
cube完成签到 ,获得积分10
19秒前
19秒前
19秒前
20秒前
大模型应助做实验的猫采纳,获得30
21秒前
22秒前
22秒前
22秒前
CipherSage应助灵巧的初瑶采纳,获得10
22秒前
南遇发布了新的文献求助10
24秒前
25秒前
小影发布了新的文献求助10
25秒前
椛鈊发布了新的文献求助10
25秒前
乐乐应助落雪芊芊采纳,获得10
26秒前
emberlynn完成签到,获得积分20
27秒前
砼砼砼砼完成签到,获得积分10
30秒前
直率胡萝卜完成签到,获得积分10
30秒前
emberlynn发布了新的文献求助20
31秒前
椛鈊完成签到,获得积分10
31秒前
32秒前
高分求助中
Markov Chain Monte Carlo 10000
(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
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 2000
Weaponeering: An Introduction Fourth Edition, Volume 1 1000
Advanced Weaponeering Fourth Edition, Volume 2 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
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 7515680
求助须知:如何正确求助?哪些是违规求助? 9103901
关于积分的说明 19433842
捐赠科研通 7121064
什么是DOI,文献DOI怎么找? 3253687
关于科研通互助平台的介绍 2422495
邀请新用户注册赠送积分活动 2240476