Glioma-derived extracellular vesicles promote tumor progression by conveying WT1

作者
Taishi Tsutsui,Hironori KAWAHARA,Ryouken Kimura,Yu Dong,Shabierjiang Jiapaer,Hemragul Sabit,Jiakang Zhang,Takeshi Yoshida,Mitsutoshi Nakada,Rikinari Hanayama
出处
期刊:Carcinogenesis [Oxford University Press]
卷期号:41 (9): 1238-1245 被引量:24
标识
DOI:10.1093/carcin/bgaa052
摘要

Glioma persists as one of the most aggressive primary tumors of the central nervous system. Glioma cells are known to communicate with tumor-associated macrophages/microglia via various cytokines to establish the tumor microenvironment. However, how extracellular vesicles (EVs), emerging regulators of cell-cell communication networks, function in this process is still elusive. We report here that glioma-derived EVs promote tumor progression by affecting microglial gene expression in an intracranial implantation glioma model mouse. The gene expression of thrombospondin-1 (Thbs1), a negative regulator of angiogenesis, was commonly downregulated in microglia after the addition of EVs isolated from different glioma cell lines, which endogenously expressed Wilms tumor-1 (WT1). Conversely, WT1-deficiency in the glioma-derived EVs significantly attenuated the Thbs1 downregulation and suppressed the tumor progression. WT1 was highly expressed in EVs obtained from the cerebrospinal fluid of human patients with malignant glioma. Our findings establish a novel model of tumor progression via EV-mediated WT1-Thbs1 intercellular regulatory pathway, which may be a future diagnostic or therapeutic target.

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
刚刚
咔咔发布了新的文献求助10
刚刚
刚刚
shujing1234发布了新的文献求助10
1秒前
2秒前
2秒前
Russs发布了新的文献求助10
3秒前
3秒前
ZY完成签到,获得积分10
3秒前
3秒前
袁玥完成签到,获得积分10
4秒前
miracle完成签到,获得积分10
4秒前
小巧秋天发布了新的文献求助10
4秒前
NaCl完成签到,获得积分10
5秒前
wssy完成签到,获得积分10
5秒前
7秒前
SWJ发布了新的文献求助20
7秒前
涛涛发布了新的文献求助10
7秒前
8秒前
发一篇sci发布了新的文献求助10
9秒前
youxianlang发布了新的文献求助10
9秒前
10秒前
结实樱桃发布了新的文献求助10
10秒前
烟光残照完成签到,获得积分10
10秒前
11秒前
NaCl发布了新的文献求助10
14秒前
Nole应助ww采纳,获得10
14秒前
烟光残照发布了新的文献求助10
17秒前
星辰大海应助wangxw采纳,获得10
19秒前
初景发布了新的文献求助10
19秒前
Akim应助youxianlang采纳,获得10
20秒前
张欢馨应助123采纳,获得10
20秒前
22秒前
完美世界应助ikun采纳,获得10
24秒前
24秒前
潇洒的嵩完成签到,获得积分10
25秒前
无花果应助幽默的烤包子采纳,获得10
26秒前
牛奶拌可乐完成签到,获得积分10
26秒前
26秒前
27秒前
高分求助中
Markov Chain Monte Carlo 10000
(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
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
How to Use Machine Learning in Chemistry: An Introduction 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
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 7583462
求助须知:如何正确求助?哪些是违规求助? 9162196
关于积分的说明 19606301
捐赠科研通 7165505
什么是DOI,文献DOI怎么找? 3266283
关于科研通互助平台的介绍 2431182
邀请新用户注册赠送积分活动 2257737