Glycan Profiling in Small Extracellular Vesicles with a SERS Microfluidic Biosensor Identifies Early Malignant Development in Lung Cancer

聚糖 肺癌 癌症研究 生物 糖基化 化学 细胞生物学 病理 分子生物学 医学 生物化学 糖蛋白
作者
Quan Zhou,X. Niu,Zhen Zhang,Kenneth J. O’Byrne,Arutha Kulasinghe,David Fielding,Andreas Möller,Alain Wuethrich,Richard J. Lobb,Matt Trau
出处
期刊:Advanced Science [Wiley]
被引量:4
标识
DOI:10.1002/advs.202401818
摘要

Abstract Glycosylation is the most common post‐translational modification of proteins and regulates a myriad of fundamental biological processes under normal, and pathological conditions. Altered protein glycosylation is linked to malignant transformation, showing distinct glycopatterns that are associated with cancer initiation and progression by regulating tumor proliferation, invasion, metastasis, and therapeutic resistance. The glycopatterns of small extracellular vesicles (sEVs) released by cancer cells are promising candidates for cancer monitoring since they exhibit glycopatterns similar to their cell‐of‐origin. However, the clinical application of sEV glycans is challenging due to the limitations of current analytical technologies in tracking the trace amounts of sEVs specifically derived from tumors in circulation. Herein, a sEV GLYcan PHenotype (EV‐GLYPH) assay that utilizes a microfluidic platform integrated with surface‐enhanced Raman scattering for multiplex profiling of sEV glycans in non‐small cell lung cancer is clinically validated. For the first time, the EV‐GLYPH assay effectively identifies distinct sEV glycan signatures between non‐transformed and malignantly transformed lung cells. In a clinical study evaluated on 40 patients, the EV‐GLYPH assay successfully differentiates patients with early‐stage malignant lung nodules from benign lung nodules. These results reveal the potential to profile sEV glycans for noninvasive diagnostics and prognostics, opening up promising avenues for clinical applications and understanding the role of sEV glycosylation in lung 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
碧阳的尔风完成签到,获得积分10
刚刚
hhh完成签到,获得积分10
1秒前
ZWQ发布了新的文献求助10
1秒前
1秒前
XYH发布了新的文献求助10
3秒前
7秒前
8秒前
Air应助ZWQ采纳,获得20
8秒前
8秒前
8秒前
_XXxxXX_完成签到,获得积分20
10秒前
12秒前
13秒前
_XXxxXX_发布了新的文献求助10
13秒前
fubaizaib发布了新的文献求助20
13秒前
987654完成签到,获得积分10
14秒前
国家一级啃大瓜表演艺术家完成签到,获得积分10
14秒前
Zenglongying发布了新的文献求助10
15秒前
杨阳洋发布了新的文献求助10
16秒前
987654发布了新的文献求助10
17秒前
一只想做科研的狗完成签到,获得积分10
17秒前
18秒前
彩色黑米完成签到 ,获得积分10
20秒前
粽叶完成签到 ,获得积分10
20秒前
Cu完成签到,获得积分10
20秒前
21秒前
凤梨完成签到,获得积分10
21秒前
所所应助fd163c采纳,获得10
22秒前
23秒前
图图完成签到,获得积分10
24秒前
24秒前
25秒前
25秒前
冰雪融化关注了科研通微信公众号
25秒前
Aurora完成签到,获得积分10
26秒前
gmjinfeng完成签到,获得积分0
26秒前
27秒前
Rita应助cannon8采纳,获得10
27秒前
28秒前
29秒前
高分求助中
The organometallic chemistry of the transition metals 7th 666
こんなに痛いのにどうして「なんでもない」と医者にいわれてしまうのでしょうか 510
Seven new species of the Palaearctic Lauxaniidae and Asteiidae (Diptera) 400
Handbook of Laboratory Animal Science 300
Fundamentals of Medical Device Regulations, Fifth Edition(e-book) 300
A method for calculating the flow in a centrifugal impeller when entropy gradients are present 240
What’s the Evidence? An Investigation into Teacher Quality 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 3701476
求助须知:如何正确求助?哪些是违规求助? 3251723
关于积分的说明 9875992
捐赠科研通 2963699
什么是DOI,文献DOI怎么找? 1625252
邀请新用户注册赠送积分活动 769908
科研通“疑难数据库(出版商)”最低求助积分说明 742608