ABCC9, NKAPL, and TMEM132C are potential diagnostic and prognostic markers in triple‐negative breast cancer

甲基化 三阴性乳腺癌 DNA甲基化 CpG站点 乳腺癌 基因 生物 癌症 基因表达 癌症研究 遗传学
作者
Xiaoyu Zhang,Xiaoning Kang,Lijun Jin,Jie Bai,Hui Zhang,Wei Liu,Zunyi Wang
出处
期刊:Cell Biology International [Wiley]
卷期号:44 (10): 2002-2010 被引量:25
标识
DOI:10.1002/cbin.11406
摘要

Abstract Triple‐negative breast cancer (TNBC) is a highly heterogeneous disease. The aim of this study is to identify the diagnostic and poor prognostic signatures in TNBC by exploring the aberrant DNA methylation and gene expression. Differential expression and methylation analysis of the TNBC and paracancer samples from The Cancer Genome Atlas were performed. Gene set enrichment and protein–protein interaction (PPI) network analysis was used to explore the mechanisms of TNBC. Methylation‐gene expression correlation analysis was performed, and multivariate Cox analysis and receiver operating characteristics analysis were used to further screen the hub genes for TNBC. We identified 1,525 differentially expressed genes and 150 differentially methylated genes between TNBC and paracancer samples. About 96.64% of the methylation sites were located on the CpG island. A total of 17 Gene Ontology biological process terms and 18 signal pathways were significantly enriched. GNG4 , GNG11 , PENK , MAOA , and AOX1 were identified as the core genes of the PPI network. Methylation‐expression correlations revealed that ABCC9 (cg06951626), NKAPL (cg18675097, cg01031101, and cg17384889), and TMEM132C (cg03530754) showed promise as diagnostic and prognostic markers in TNBC. ABCC9 (cg06951626), NKAPL (cg18675097, cg01031101, and cg17384889), and TMEM132C (cg03530754) were potential diagnostic and prognostic markers in TNBC.
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
123456789完成签到,获得积分10
刚刚
文献猪发布了新的文献求助10
刚刚
斗鱼飞鸟和俞完成签到,获得积分10
刚刚
SciGPT应助闪闪的梦柏采纳,获得10
刚刚
扎心应助mamingliang采纳,获得10
刚刚
1秒前
辅仁发布了新的文献求助10
1秒前
SUN完成签到,获得积分10
2秒前
沉默白亦完成签到,获得积分10
2秒前
2秒前
2秒前
Lucas应助大象艾力分特采纳,获得10
3秒前
赘婿应助lonelycube采纳,获得10
3秒前
3秒前
3秒前
YunjiangZhang发布了新的文献求助10
3秒前
科目三应助zlren采纳,获得100
3秒前
3秒前
4秒前
4秒前
4秒前
4秒前
李爱国应助搞怪的怀蕊采纳,获得10
4秒前
枫楠完成签到,获得积分10
4秒前
红炉点血发布了新的文献求助10
5秒前
SUN发布了新的文献求助10
5秒前
5秒前
zzb完成签到,获得积分10
6秒前
6秒前
6秒前
ame1120发布了新的文献求助10
6秒前
xiaoo七完成签到 ,获得积分10
7秒前
7秒前
kuolong发布了新的文献求助10
7秒前
YunjiangZhang发布了新的文献求助10
7秒前
眼睛大初翠完成签到,获得积分10
8秒前
8秒前
风中湘发布了新的文献求助10
8秒前
乐观期待发布了新的文献求助10
9秒前
123应助高挑的含桃采纳,获得10
9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
化工安全与环保 1000
Autoparametric Resonance in Mechanical Systems 1000
基于锂离子电池正极材料回收的绿色溶剂开发及工程化应用研究 800
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 600
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 7652394
求助须知:如何正确求助?哪些是违规求助? 9223731
关于积分的说明 19809675
捐赠科研通 7218331
什么是DOI,文献DOI怎么找? 3278912
关于科研通互助平台的介绍 2439677
邀请新用户注册赠送积分活动 2277991