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
zhong完成签到 ,获得积分10
2秒前
2秒前
laoxie301发布了新的文献求助10
3秒前
苏逸完成签到,获得积分10
3秒前
5秒前
lishaokun查文献完成签到 ,获得积分10
5秒前
8秒前
马大帅完成签到,获得积分10
9秒前
冷酷的夜柳完成签到 ,获得积分10
11秒前
斯文败类应助Voiceless采纳,获得10
11秒前
tuyibo完成签到,获得积分10
15秒前
萧萧完成签到,获得积分10
16秒前
顾矜应助feiyue126采纳,获得10
16秒前
aaa0001984完成签到,获得积分0
18秒前
安然完成签到 ,获得积分10
19秒前
wbshore完成签到,获得积分10
20秒前
zest完成签到,获得积分10
20秒前
科研通AI2S应助科研通管家采纳,获得10
20秒前
Kao应助科研通管家采纳,获得10
20秒前
Kao应助科研通管家采纳,获得10
20秒前
隐形曼青应助科研通管家采纳,获得10
21秒前
Kao应助科研通管家采纳,获得10
21秒前
21秒前
Kao应助科研通管家采纳,获得10
21秒前
yzy应助科研通管家采纳,获得10
21秒前
21秒前
Kao应助科研通管家采纳,获得10
22秒前
YNILY完成签到 ,获得积分10
22秒前
友好碧完成签到 ,获得积分10
28秒前
科研通AI6.3应助房白凝采纳,获得10
30秒前
小芒果完成签到,获得积分10
30秒前
水易而华完成签到,获得积分10
30秒前
王道远完成签到,获得积分10
32秒前
可爱的梦菲完成签到,获得积分10
35秒前
hebnkygzs完成签到 ,获得积分10
37秒前
独特的忆彤完成签到 ,获得积分10
37秒前
俊逸吐司完成签到 ,获得积分10
39秒前
耶子完成签到 ,获得积分10
40秒前
可爱的函函应助青云采纳,获得10
42秒前
负责雨安完成签到 ,获得积分10
43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
Health Psychology 600
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
When Is Two-Stage Sample Robust Optimization Asymptotically Optimal? 500
APA handbook of comparative psychology: Basic concepts, methods, neural substrate, and behavior 500
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 500
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 7592618
求助须知:如何正确求助?哪些是违规求助? 9169846
关于积分的说明 19626407
捐赠科研通 7170541
什么是DOI,文献DOI怎么找? 3267520
关于科研通互助平台的介绍 2432371
邀请新用户注册赠送积分活动 2260009