Upregulated Tie2 expression in plasma: a potential non-invasive biomarker for the diagnosis of breast cancer

生物标志物 乳腺癌 医学 癌症研究 癌症 转移 内科学 血管生成 肿瘤科 循环肿瘤细胞 免疫组织化学 病理
作者
Qingzhu Song,Fenglan Zhang,Tian Yuan,Yulong Wei
出处
期刊:European Cytokine Network [John Libbey Eurotext]
卷期号:32 (2): 39-47
标识
DOI:10.1684/ecn.2021.0468
摘要

Breast cancer is by far the most common malignancy found in women and causes a significant public health problem around the world. Early diagnosis of cancer plays an important role in successful treatment and survival of patients. This study aims to investigate the possibility of plasma Tie2 to be used as a biomarker for diagnosis of breast cancer. In total, 20 healthy volunteers and 33 breast cancer patients were considered for this study. The level of Tie2 in plasma was detected using the ELISA technique and immunohistochemistry was performed to measure the expression of Tie2 in normal and breast cancer tissues. Plasma concentrations of Tie2 were significantly higher among breast cancer patients compared to healthy subjects, and both mRNA and protein expression of Tie2 were higher in breast cancer tissue than in normal tissue. Plasma concentrations of Tie2 were positively correlated with the grade of breast cancer. Finally, in vitro knockdown of Tie2 expression in a breast adenocarcinoma cell line inhibited the proliferation of these cells. It is concluded from the results that Tie2 might be a useful plasma biomarker for the early detection of breast cancer and could be developed to be a target for novel drug discovery.

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
dwdwdw发布了新的文献求助10
1秒前
李佳芮发布了新的文献求助10
1秒前
哈哈哈发布了新的文献求助10
1秒前
1秒前
1秒前
2秒前
2秒前
安然给安然的求助进行了留言
2秒前
Jasper应助yang采纳,获得10
3秒前
4秒前
freeaway发布了新的文献求助30
5秒前
5秒前
Letitia完成签到,获得积分10
5秒前
星辰大海应助Suxiao采纳,获得10
5秒前
6秒前
6秒前
翁曼雁发布了新的文献求助10
7秒前
可爱的函函应助李佳采纳,获得10
7秒前
huhaofeng完成签到,获得积分10
8秒前
dulcetlemon发布了新的文献求助10
8秒前
9秒前
10秒前
10秒前
溜溜发布了新的文献求助10
11秒前
savior发布了新的文献求助10
11秒前
11秒前
王军发布了新的文献求助10
12秒前
斯文败类应助垃圾老博士采纳,获得10
12秒前
13秒前
Ava应助阿光采纳,获得10
13秒前
充电宝应助jewel9采纳,获得10
13秒前
等待从阳应助sherlock采纳,获得10
13秒前
和谐的夏波完成签到,获得积分10
14秒前
14秒前
所所应助由于采纳,获得10
15秒前
16秒前
常璐旸发布了新的文献求助10
16秒前
烟花应助Dr_Marila采纳,获得10
18秒前
18秒前
19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
Chemistry and Physics of Carbon Volume 18 800
The Organometallic Chemistry of the Transition Metals 800
The formation of Australian attitudes towards China, 1918-1941 640
Signals, Systems, and Signal Processing 610
全相对论原子结构与含时波包动力学的理论研究--清华大学 500
Elevating Next Generation Genomic Science and Technology using Machine Learning in the Healthcare Industry Applied Machine Learning for IoT and Data Analytics 400
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 6443241
求助须知:如何正确求助?哪些是违规求助? 8257113
关于积分的说明 17585207
捐赠科研通 5501710
什么是DOI,文献DOI怎么找? 2900830
邀请新用户注册赠送积分活动 1877821
关于科研通互助平台的介绍 1717487