Identification of Flap Endonuclease 1 With Diagnostic and Prognostic Value in Breast Cancer

医学 乳腺癌 四分位数 肿瘤科 内科学 接收机工作特性 增殖细胞核抗原 生存分析 病理 癌症 免疫组织化学 置信区间
作者
Min Wu,Pan Zhang,Penghui Wang,Zhen Fang,Yaqin Zhu
出处
期刊:Frontiers in Oncology [Frontiers Media]
卷期号:11 被引量:6
标识
DOI:10.3389/fonc.2021.603114
摘要

This study aims to identify the potential value of flap endonuclease 1 (FEN1) as a diagnostic and prognostic marker for breast cancer (BC).ELISA was used to measure serum FEN1 levels and ECLIA for CA153 and CEA levels. Receiver operating characteristic (ROC) curve analysis was used to evaluate the diagnostic value. Oncomine and UALCAN databases were used to analyze the differences in FEN1 mRNA and protein expressions. Kaplan-Meier Plotter database was then used to assess the prognostic value.Bioinformatics analysis showed that the FEN1 mRNA and protein levels were significantly higher in BC tissues than in normal tissues. FEN1 was detected in culture medium of BC cell lines and serum FEN1 concentrations were significantly increased in BC patients than in cancer-free individuals. Besides, FEN1 exhibited higher diagnostic accuracy (AUC values>0.800) than CA153 and CEA for distinguishing BC patients, especially early BC, from the healthy and benign groups, or individually. Additionally, serum FEN1 levels were significantly associated with the stage (P=0.001) and lymph invasion (P=0.016), and serum FEN1 levels were increased with the development of BC. Furthermore, serum FEN1 levels were significantly decreased in post-operative patients than in pre-operative patients (P=0.016). Based on the Kaplan-Meier Plotter database, the survival analysis indicated that FEN1 overexpression was associated with poor prognoses for overall survival (OS), relapse-free survival (RFS), and distant metastasis-free survival (DMFS) in BC patients.FEN1 might be a novel diagnostic and prognostic marker for BC.

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
YingxueRen完成签到,获得积分10
1秒前
5秒前
5秒前
Jasper应助li采纳,获得10
6秒前
得意黑完成签到,获得积分10
6秒前
dbaxia完成签到,获得积分10
7秒前
是小越啊完成签到,获得积分10
7秒前
Sherry完成签到,获得积分10
8秒前
張家瑞瑞完成签到,获得积分10
8秒前
gaberella完成签到,获得积分10
8秒前
小灰灰完成签到,获得积分10
10秒前
EMC完成签到,获得积分10
11秒前
iuwallace发布了新的文献求助10
11秒前
13秒前
健壮的鑫鹏完成签到,获得积分10
14秒前
chanyi完成签到,获得积分10
15秒前
Nexus应助Sherry采纳,获得10
17秒前
18秒前
chua1212123完成签到,获得积分10
19秒前
20秒前
21秒前
英勇的黑猫完成签到,获得积分10
22秒前
Lennon发布了新的文献求助10
24秒前
26秒前
26秒前
qjq发布了新的文献求助10
27秒前
赘婿应助银古采纳,获得10
28秒前
zyzhaoxj应助mouset270采纳,获得10
29秒前
29秒前
酱鱼发布了新的文献求助10
30秒前
李若菲完成签到,获得积分10
33秒前
棣棣的D发布了新的文献求助10
34秒前
的萨芬都是完成签到,获得积分10
34秒前
秦莹卿完成签到,获得积分10
34秒前
夜信完成签到,获得积分10
37秒前
windy钟声发布了新的文献求助10
39秒前
巧克力完成签到 ,获得积分10
40秒前
张宇发布了新的文献求助10
43秒前
封似狮完成签到,获得积分10
43秒前
ukie发布了新的文献求助10
45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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
Signals, Systems, and Signal Processing 610
Adverse weather effects on bus ridership 500
Photodetectors: From Ultraviolet to Infrared 500
On the Dragon Seas, a sailor's adventures in the far east 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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6350867
求助须知:如何正确求助?哪些是违规求助? 8165542
关于积分的说明 17183211
捐赠科研通 5407063
什么是DOI,文献DOI怎么找? 2862792
邀请新用户注册赠送积分活动 1840361
关于科研通互助平台的介绍 1689509