A novel long non-coding RNA AC073352.1 promotes metastasis and angiogenesis via interacting with YBX1 in breast cancer

乳腺癌 转移 血管生成 癌症研究 癌症 医学 癌细胞 长非编码RNA 肿瘤科 下调和上调 内科学 生物 基因 生物化学
作者
Xue Kong,Juan Li,Yanru Li,Weili Duan,Qiuchen Qi,Tiantian Wang,Qifeng Yang,Du Li,Hongzhi Mao,Chuanxin Wang
出处
期刊:Cell Death and Disease [Springer Nature]
卷期号:12 (7) 被引量:25
标识
DOI:10.1038/s41419-021-03943-x
摘要

Abstract Breast cancer is the major cause of cancer death worldwide in women. Patients with metastasis have poor prognosis and the mechanisms of breast cancer metastasis are not completely understood. Long non-coding RNAs (lncRNAs) have been shown to have crucial roles in breast cancer development and progression. However, the underlying mechanisms by which lncRNA-driven breast cancer metastasis are unknown. The main objective of this paper is to explore a functional lncRNA and its mechanisms in breast cancer. Here we identified a novel lncRNA AC073352.1 that was significantly upregulated in breast cancer tissues and was associated with advanced TNM stages and poor prognosis in breast cancer patients. In addition, AC073352.1 was found to promote the migration and invasion of breast cancer cells in vitro and enhance breast cancer metastasis in vivo. Mechanistically, we elucidated that AC073352.1 interacted with YBX1 and stabilized its protein expression. Knock down of YBX1 reduced breast cancer cell migration and invasion and could partially reverse the stimulative effects of AC073352.1 overexpressed on breast cancer metastasis. Moreover, AC073352.1 might be packaged into exosomes by binding to YBX1 in breast cancer cells resulting in angiogenesis. Collectively, our results demonstrated that AC073352.1 promoted breast cancer metastasis and angiogenesis via binding YBX1, and it could serve as a promising, novel biomarker for prognosis and a therapeutic target in breast cancer.
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
归海若完成签到,获得积分10
1秒前
1秒前
tingting完成签到 ,获得积分10
1秒前
2秒前
凉了的饭菜完成签到,获得积分10
2秒前
yourself发布了新的文献求助10
2秒前
jarenthar完成签到 ,获得积分10
2秒前
Hello应助星河在眼里采纳,获得10
2秒前
3秒前
3秒前
可爱的函函应助aaaaaa采纳,获得10
4秒前
暖冬的向日葵完成签到,获得积分10
5秒前
希尔发布了新的文献求助10
6秒前
6秒前
wanci应助飞飞飞采纳,获得10
6秒前
yiding完成签到 ,获得积分10
6秒前
6秒前
17完成签到,获得积分10
7秒前
虚幻靖易完成签到,获得积分10
7秒前
7秒前
7秒前
MY2720完成签到,获得积分10
7秒前
666plus完成签到,获得积分10
8秒前
8秒前
坚定的琦完成签到 ,获得积分10
8秒前
孤独士晋发布了新的文献求助10
8秒前
爆米花发布了新的文献求助10
8秒前
8秒前
XiHuanChi完成签到,获得积分10
9秒前
复杂的新柔完成签到 ,获得积分10
9秒前
10秒前
天气好的话完成签到 ,获得积分10
10秒前
残幻完成签到,获得积分10
11秒前
12秒前
Rain发布了新的文献求助10
12秒前
LYL1120完成签到,获得积分10
12秒前
13秒前
烟花应助李兴起采纳,获得10
13秒前
闪闪绮露完成签到,获得积分10
13秒前
天明完成签到,获得积分10
13秒前
高分求助中
Thinking Small and Large 500
Algorithmic Mathematics in Machine Learning 500
Getting Published in SSCI Journals: 200+ Questions and Answers for Absolute Beginners 300
New Syntheses with Carbon Monoxide 200
Faber on mechanics of patent claim drafting 200
Quanterion Automated Databook NPRD-2023 200
Interpretability and Explainability in AI Using Python 200
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3834587
求助须知:如何正确求助?哪些是违规求助? 3377081
关于积分的说明 10496404
捐赠科研通 3096557
什么是DOI,文献DOI怎么找? 1705041
邀请新用户注册赠送积分活动 820414
科研通“疑难数据库(出版商)”最低求助积分说明 772031