Screening approaches for lung cancer by blood-based biomarkers: Challenges and opportunities

过度诊断 肺癌筛查 医学 肺癌 背景(考古学) 生物标志物 重症监护医学 癌症 癌症筛查 生物标志物发现 肿瘤科 生物信息学 内科学 蛋白质组学 古生物学 化学 基因 生物 生物化学
作者
Daan van den Broek,Harry J.M. Groen
出处
期刊:Tumor Biology [SAGE Publishing]
卷期号:46 (s1): S65-S80 被引量:2
标识
DOI:10.3233/tub-230004
摘要

Lung cancer (LC) is one of the leading causes for cancer-related deaths in the world, accounting for 28% of all cancer deaths in Europe. Screening for lung cancer can enable earlier detection of LC and reduce lung cancer mortality as was demonstrated in several large image-based screening studies such as the NELSON and the NLST. Based on these studies, screening is recommended in the US and in the UK a targeted lung health check program was initiated. In Europe lung cancer screening (LCS) has not been implemented due to limited data on cost-effectiveness in the different health care systems and questions on for example the selection of high-risk individuals, adherence to screening, management of indeterminate nodules, and risk of overdiagnosis. Liquid biomarkers are considered to have a high potential to address these questions by supporting pre- and post- Low Dose CT (LDCT) risk-assessment thereby improving the overall efficacy of LCS. A wide variety of biomarkers, including cfDNA, miRNA, proteins and inflammatory markers have been studied in the context of LCS. Despite the available data, biomarkers are currently not implemented or evaluated in screening studies or screening programs. As a result, it remains an open question which biomarker will actually improve a LCS program and do this against acceptable costs. In this paper we discuss the current status of different promising biomarkers and the challenges and opportunities of blood-based biomarkers in the context of lung cancer screening.

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
兮兮完成签到,获得积分20
1秒前
1秒前
可爱的函函应助积极纲采纳,获得10
1秒前
1秒前
机智老黑完成签到 ,获得积分10
1秒前
活力的明雪完成签到,获得积分10
1秒前
脑洞疼应助zhj采纳,获得10
2秒前
bkagyin应助阿西吧采纳,获得10
2秒前
典雅巧凡发布了新的文献求助30
2秒前
采珺应助hellomoon采纳,获得10
3秒前
4秒前
13456完成签到 ,获得积分20
4秒前
5秒前
cgr发布了新的文献求助10
7秒前
7秒前
8秒前
9秒前
梅夕阳发布了新的文献求助20
9秒前
KL完成签到,获得积分10
10秒前
十三发布了新的文献求助10
11秒前
公孙世往发布了新的文献求助10
12秒前
赘婿应助甜甜圈采纳,获得10
13秒前
泥豪泥嚎完成签到,获得积分10
13秒前
英俊亦云发布了新的文献求助10
13秒前
笑傲江湖发布了新的文献求助10
14秒前
14秒前
zhj发布了新的文献求助10
15秒前
16秒前
m. Ji'e发布了新的文献求助10
17秒前
自然元容完成签到,获得积分20
18秒前
18秒前
18秒前
wyg完成签到,获得积分10
19秒前
我是老大应助林林采纳,获得10
19秒前
孙明浩完成签到 ,获得积分10
19秒前
20秒前
20秒前
21秒前
starry南鸢完成签到 ,获得积分10
22秒前
hay完成签到,获得积分10
23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
Modern Epidemiology, Fourth Edition 5000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 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 6025230
求助须知:如何正确求助?哪些是违规求助? 7661153
关于积分的说明 16178620
捐赠科研通 5173393
什么是DOI,文献DOI怎么找? 2768188
邀请新用户注册赠送积分活动 1751589
关于科研通互助平台的介绍 1637669