Extracellular vesicles: the next generation of biomarkers for liquid biopsy-based prostate cancer diagnosis

液体活检 前列腺癌 活检 生物标志物 转移 生物标志物发现 癌症生物标志物 医学 循环肿瘤细胞 癌症 胞外囊泡 细胞外小泡 病理 生物信息学 计算生物学 癌症研究 微泡 生物 内科学 小RNA 蛋白质组学 细胞生物学 基因 生物化学
作者
Bairen Pang,Ying Zhu,Jie Ni,James Thompson,David Malouf,Joseph Bucci,Peter Graham,Yong Li
出处
期刊:Theranostics [Ivyspring International Publisher]
卷期号:10 (5): 2309-2326 被引量:201
标识
DOI:10.7150/thno.39486
摘要

Prostate cancer (PCa) is a leading cause of cancer death for males in western countries. The current gold standard for PCa diagnosis - template needle biopsies - often does not convey a true representation of the molecular profile given sampling error and complex tumour heterogeneity. Presently available biomarker blood tests have limited accuracy. There is a growing demand for novel diagnostic approaches to reduce both the number of men with an abnormal PSA/ DRE who undergo invasive biopsy and the number of cores collected per biopsy. 'Liquid biopsy' is a minimally invasive biofluid-based approach that has the potential to provide information and improve the accuracy of diagnosis for patients' treatment selection, prognostic counselling and development of risk-adjusted follow-up protocols. Extracellular vesicles (EVs) are lipid bilayer-delimited particles released by tumour cells which may provide a real-time snapshot of the entire tumour in a non-invasive way. EVs can regulate physiological processes and mediate systemic dissemination of various types of cancers. Emerging evidence suggests that EVs have crucial roles in PCa development and metastasis. Most importantly, EVs are directly derived from their parent cells with their information. EVs contain components including proteins, mRNAs, DNA fragments, non-coding RNAs and lipids, and play a critical role in intercellular communication. Therefore, EVs hold promise for the discovery of liquid biopsy-based biomarkers for PCa diagnosis. Here, we review the current approaches for EV isolation and analysis, summarise the recent advances in EV protein biomarkers in PCa and focus on liquid biopsy-based EV biomarkers in PCa diagnosis for personalised medicine.

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
persist发布了新的文献求助10
刚刚
刚刚
1秒前
认真问夏发布了新的文献求助40
2秒前
王世缘发布了新的文献求助10
3秒前
3秒前
4秒前
5秒前
小蘑菇应助LL采纳,获得10
5秒前
6秒前
6秒前
7秒前
Brooks完成签到,获得积分10
8秒前
Jlu发布了新的文献求助10
8秒前
深情安青应助花海采纳,获得10
9秒前
GwyLsb发布了新的文献求助10
9秒前
进行时完成签到 ,获得积分10
9秒前
couletian完成签到 ,获得积分10
11秒前
斯文弘文发布了新的文献求助10
11秒前
橙橙卡莉发布了新的文献求助10
11秒前
12秒前
12秒前
wjx发布了新的文献求助10
12秒前
13秒前
昭昭昭昭完成签到,获得积分10
13秒前
不太想学习完成签到,获得积分10
14秒前
曙光完成签到,获得积分10
15秒前
真难啊发布了新的文献求助10
16秒前
16秒前
21度多云发布了新的文献求助10
17秒前
满意水瑶完成签到,获得积分10
17秒前
油条狗完成签到,获得积分10
18秒前
强强仔仔完成签到 ,获得积分10
19秒前
19秒前
可爱亦双发布了新的文献求助20
19秒前
jing完成签到 ,获得积分10
20秒前
penxyy应助梨鬼采纳,获得30
20秒前
hh完成签到 ,获得积分10
20秒前
21秒前
22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
Handbook of pharmaceutical excipients, Ninth edition 5000
Aerospace Standards Index - 2026 ASIN2026 2000
Digital Twins of Advanced Materials Processing 2000
Social Cognition: Understanding People and Events 1200
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6036670
求助须知:如何正确求助?哪些是违规求助? 7755903
关于积分的说明 16215578
捐赠科研通 5182774
什么是DOI,文献DOI怎么找? 2773650
邀请新用户注册赠送积分活动 1756912
关于科研通互助平台的介绍 1641276