Tissue inhibitor of metalloproteinases-1 induces a pro-tumourigenic increase of miR-210 in lung adenocarcinoma cells and their exosomes

生物 微泡 癌症研究 下调和上调 血管生成 PI3K/AKT/mTOR通路 蛋白激酶B 基质金属蛋白酶 LY294002型 腺癌 金属蛋白酶组织抑制剂 癌症 小RNA 细胞生物学 信号转导 基因 生物化学 遗传学
作者
Haissi Cui,Bastian Seubert,Elizabeth C. Stahl,Hendrik Dietz,Ute Reuning,Laura Moreno Leon,Marius Ilié,Paul Hofman,Hideaki Nagase,Bernard Mari,Achim Krüger
出处
期刊:Oncogene [Springer Nature]
卷期号:34 (28): 3640-3650 被引量:190
标识
DOI:10.1038/onc.2014.300
摘要

Tissue inhibitor of metalloproteinases-1 (TIMP-1) recently emerged as a pro-metastatic factor highly associated with poor prognosis in a number of cancers. This correlation seemed paradox as TIMP-1 is best described as an inhibitor of pro-tumourigenic matrix metalloproteinases. Only recently, TIMP-1 has been revealed as a signalling molecule that can regulate cancer progression independent of its inhibitory properties. In the present study, we demonstrate that an increase of both exogenous and endogenous TIMP-1 led to the upregulation of miR-210 in a CD63/PI3K/AKT/HIF-1-dependent pathway in lung adenocarcinoma cells. TIMP-1 induced P110/P85 PI3K-signalling and AKT phosphorylation. It also led to increase of HIF-1α protein levels positively correlating with HIF-1-regulated mRNA expression and upregulation of the microRNA miR-210. Downstream targets of miR-210, namely FGFRL1, E2F3, VMP-1, RAD52 and SDHD, were decreased in the presence of TIMP-1. Upon the overexpression of TIMP-1 in tumour cells, miR-210 was accumulated in exosomes in vitro and in vivo. These exosomes promoted tube formation activity in human umbilical vein endothelial cell (HUVECs), which was reflected in increased angiogenesis in A549L-derived tumour xenografts. Activation and elevation of PI3K, AKT, HIF-1A and miR-210 in tumours additionally confirmed our in vitro data. This new pro-tumourigenic signalling function of TIMP-1 may explain why elevated TIMP-1 levels in lung cancer patients are highly correlated with poor prognosis.
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
不器完成签到 ,获得积分10
刚刚
刚刚
Orange应助初景采纳,获得10
刚刚
乐进发布了新的文献求助10
1秒前
2秒前
3秒前
呆萌的妙梦完成签到,获得积分10
3秒前
yanweifu完成签到,获得积分10
3秒前
3秒前
zc发布了新的文献求助10
3秒前
风一起发布了新的文献求助10
3秒前
新手小白完成签到,获得积分10
5秒前
天真的音完成签到,获得积分10
5秒前
陈M雯发布了新的文献求助10
5秒前
666发布了新的文献求助10
6秒前
超级发布了新的文献求助10
6秒前
6秒前
崔雨禾完成签到 ,获得积分10
7秒前
7秒前
小马猪完成签到,获得积分10
8秒前
8秒前
J_Xu发布了新的文献求助10
9秒前
10秒前
大个应助从不内卷采纳,获得10
10秒前
10秒前
呆萌鹭洋发布了新的文献求助10
10秒前
liuziming发布了新的文献求助10
11秒前
11秒前
12秒前
12秒前
13秒前
初景发布了新的文献求助10
13秒前
yue完成签到,获得积分10
13秒前
mahuahua发布了新的文献求助10
14秒前
dbc1234发布了新的文献求助100
14秒前
14秒前
fang发布了新的文献求助10
15秒前
yw发布了新的文献求助10
15秒前
maffei完成签到,获得积分10
15秒前
131310发布了新的文献求助30
15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
Principles of town planning: translating concepts to applications 1000
内視鏡的に摘除しえた十二指腸乳頭部腫瘍の2例 660
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Interpolation and Regression Models for the Chemical Engineer: Solving Numerical Problems 400
The Neuroscience of Language 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 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 7686599
求助须知:如何正确求助?哪些是违规求助? 9249788
关于积分的说明 19959213
捐赠科研通 7259576
什么是DOI,文献DOI怎么找? 3289510
关于科研通互助平台的介绍 2446542
邀请新用户注册赠送积分活动 2294038