Circulating biomarkers for gliomas

液体活检 医学 胶质瘤 分级(工程) 小RNA 癌症研究 生物标志物 靶向治疗 肿瘤异质性 病理 基因 癌症 内科学 生物 生态学 生物化学
作者
Manfred Westphal,Katrin Lamszus
出处
期刊:Nature Reviews Neurology [Springer Nature]
卷期号:11 (10): 556-566 被引量:173
标识
DOI:10.1038/nrneurol.2015.171
摘要

Currently, gliomas are diagnosed by neuroimaging, and refined diagnosis requires resection or biopsy to obtain tumour tissue for histopathological classification and grading. Blood-derived biomarkers, therefore, would be useful as minimally invasive markers that could support diagnosis and enable monitoring of tumour growth and response to treatment. Such circulating biomarkers could distinguish true progression from therapy-associated changes such as radiation necrosis, and help evaluate the persistence or disappearance of a therapeutic target, such as an oncoprotein or a targetable gene mutation, after targeted therapy. Unlike for other tumours, circulating biomarkers for gliomas are still being defined and are not yet in use in clinical practice. Circulating tumour DNA (ctDNA) isolated from plasma has been shown to reflect the mutational status of glioblastoma, and extracellular vesicles (EVs) containing ctDNA, microRNA and proteins function as rapidly adapting reservoirs for glioma biomarkers such as typical DNA mutations, regulatory microRNAs and oncoproteins. Ideally, circulating tumour cells could enable profiling of the whole-tumour genome, but they are difficult to detect and can reflect only a single cell type of the heterogeneous tumour composition, whereas EVs reflect the complex heterogeneity of the whole tumour, as well as its adaptations to therapy. Although all categories of potential blood-derived biomarkers need to be developed further, findings from other tumour types suggest that EVs are the most promising biomarkers.
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
晶晶发布了新的文献求助50
1秒前
向日葵发布了新的文献求助10
1秒前
Lily完成签到,获得积分10
2秒前
GNdeCui完成签到 ,获得积分10
2秒前
丢丢完成签到 ,获得积分10
2秒前
阿拉发布了新的文献求助10
2秒前
17808352679发布了新的文献求助10
3秒前
3秒前
3秒前
4秒前
cdjq发布了新的文献求助30
4秒前
4秒前
休亮完成签到,获得积分10
5秒前
领导范儿应助Jiawen采纳,获得30
5秒前
5秒前
5秒前
AAS完成签到,获得积分10
6秒前
科研通AI5应助黒面包采纳,获得10
6秒前
Listen应助精明元容采纳,获得10
6秒前
执着陈完成签到,获得积分10
7秒前
77完成签到,获得积分10
8秒前
8秒前
8秒前
cugwzr发布了新的文献求助10
9秒前
10秒前
10秒前
10秒前
甘乐发布了新的文献求助10
10秒前
10秒前
小飞飞发布了新的文献求助10
10秒前
ddd完成签到,获得积分10
11秒前
田様应助Joshua采纳,获得10
11秒前
阿丹发布了新的文献求助10
12秒前
Overlord应助霸气的南晴采纳,获得10
12秒前
12秒前
YuenYuen发布了新的文献求助10
13秒前
13秒前
暴躁小鸟完成签到,获得积分10
14秒前
和谐的火龙果完成签到,获得积分20
14秒前
15秒前
高分求助中
Continuum thermodynamics and material modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Healthcare Finance: Modern Financial Analysis for Accelerating Biomedical Innovation 2000
Applications of Emerging Nanomaterials and Nanotechnology 1111
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Les Mantodea de Guyane Insecta, Polyneoptera 1000
Theory of Block Polymer Self-Assembly 750
热门求助领域 (近24小时)
化学 医学 材料科学 生物 工程类 有机化学 生物化学 纳米技术 内科学 物理 化学工程 计算机科学 复合材料 基因 遗传学 物理化学 催化作用 细胞生物学 免疫学 电极
热门帖子
关注 科研通微信公众号,转发送积分 3488751
求助须知:如何正确求助?哪些是违规求助? 3076283
关于积分的说明 9144615
捐赠科研通 2768593
什么是DOI,文献DOI怎么找? 1519274
邀请新用户注册赠送积分活动 703714
科研通“疑难数据库(出版商)”最低求助积分说明 701952