PO.PR01.02 · 预防研究
一种基于细胞外囊泡和颗粒的新一代液体活检用于早期肺癌检测
A next-generation extracellular vesicle and particle-based liquid biopsy for early lung cancer detection
作者与单位 Authors & Affiliations
摘要 Abstract
中文摘要
背景:肺癌(LC)的早期检测仍是一项关键的未满足需求,因为大多数患者在治疗效果较差的晚期才被诊断。目前检测的标准治疗——计算机断层扫描肺癌筛查(CTLS),受限于有限的采用率,凸显了对一种更普遍可及方法的需求。循环细胞外囊泡和颗粒(EVP)提供了一种微创的肿瘤来源生物标志物来源,可反映潜在的肿瘤生物学。我们开发了一种基于EVP的肺癌检测液体活检检测方法,旨在通过检测肿瘤细胞大量释放的囊泡和颗粒实现高敏感性,并通过评估共定位于同一EVP表面的多个癌症相关生物标志物实现高特异性。
方法:肺癌检测(LC Test)由预先定义的生物标志物组合和分类器组成,在一项训练研究后锁定。使用来自参加常规肺癌筛查项目的个体以及参加从不吸烟者肺癌研究的个体的血浆样本,开展了一项盲法病例对照研究。该研究包括两个组:1)有烟草使用史但无肺癌证据的高危参与者(n = 75;37例Lung-RADS 1,38例Lung-RADS 2)以及肺腺癌(LUAD)患者(n = 20;肿瘤直径中位数1.8 cm)和小细胞癌(SCLC;n = 5);2)无肺癌证据的从不吸烟参与者(n = 74)以及LUAD患者(n = 26;肿瘤直径中位数2.3 cm)和鳞状细胞癌(LUSC;n = 1)。该设计能够评估该检测对高危和平均风险个体中发生的肺癌的检测性能,且早期疾病代表性强(71%为I/II期)。
结果:使用特异性设定为90%的预先指定的锁定分类器,LC Test在高危参与者中对LUAD实现了47.8%的总体敏感性,对I/II期疾病实现了35.3%的敏感性。对于SCLC,总体敏感性为60%。在从不吸烟者中,该检测显示出50%的总体敏感性和31.3%的I/II期LUAD敏感性。生物标志物组合检测评分与抽血时预测的肿瘤大小相关(R = 0.60;p = 0.0048)。检测到的最小肿瘤直径为0.8 cm。
结论:LC Test能够在接受筛查的高危个体以及从不吸烟且偶然或临床检出疾病的个体中实现对早期肺癌的敏感和特异性检测。检测性能接近CTLS,支持其作为微创补充手段的潜力,或在特定情况下作为基于影像学筛查的替代方案。这些发现值得在更大规模的临床研究中进一步评估LC Test。
查看英文原文 English abstract
Background: Early detection of lung cancer (LC) remains a critical unmet need, as most patients are diagnosed at advanced stages when treatment is less effective. The current standard of care for detection, computed tomography lung screening (CTLS), is constrained by limited uptake, emphasizing the need for a more universally accessible approach. Circulating extracellular vesicles and particles (EVPs) offer a minimally invasive source of tumor-derived biomarkers reflective of underlying tumor biology. We developed an EVP-based liquid biopsy assay for LC detection that aims to achieve high sensitivity through detection of vesicles and particles released abundantly by tumor cells and high specificity by assessing multiple cancer-associated biomarkers colocalized on the same EVP surface.
Methods: The LC Test, consisting of a predefined biomarker panel and classifier was locked following a training study. A blinded case-control study was conducted using plasma samples from individuals enrolled in a routine LC screening program and from those enrolled in a lung cancer study in those who never smoked. The study included two arms: 1) High-risk participants with a history of tobacco use without evidence of lung cancer (n = 75; 37 Lung-RADS 1, 38 Lung-RADS 2) and participants with lung adenocarcinoma (LUAD) (n = 20; median tumor diameter 1.8 cm), and small-cell carcinoma (SCLC; n=5), and 2) participants who never smoked without evidence of lung cancer (n = 74) and with LUAD (n = 26; median tumor diameter 2.3 cm), and squamous cell carcinoma (LUSC; n= 1). The design enabled evaluation of assay performance for the detection of LCs arising in high and average risk individuals, with strong representation of early-stage disease (71% Stage I/II).
Results: Using a pre-specified locked classifier with specificity set to 90%, the LC Test achieved an overall sensitivity of 47.8% for LUAD and 35.3% for Stage I/II disease in high-risk participants. For SCLC, overall sensitivity was 60%. Among those who never smoked, the assay demonstrated 50% overall sensitivity and 31.3% sensitivity for Stage I/II LUAD. The biomarker panel test score correlated with predicted tumor size at blood draw (R = 0.60; p = 0.0048). The smallest detected tumor measured 0.8 cm in diameter.
Conclusions: The LC Test enables sensitive and specific detection of early-stage LC in both high-risk individuals undergoing screening and those who never smoked, with incidentally or clinically detected disease. Assay performance approaches that of CTLS, supporting its potential as a minimally invasive complement or, in select settings, as an alternative for imaging-based screening. These findings warrant further evaluation of the LC Test in larger clinical studies.
利益披露 Disclosure
T. Guettouche,
Mercy BioAnalytics Employment, Stock Option, Patent.
C. Schissel, None.
D. P. Salem,
Mercy BioAnalytics Employment, Stock Option, Patent.
T. B. Hawkins,
Mercy BioAnalytics Employment, Stock Option.
A. Chevalier,
Mercy BioAnalytics Employment, Stock Option.
I. O. Zabrowski,
Mercy BioAnalytics Employment, Stock Option.
B. Grimes,
Mercy BioAnalytics Employment, Stock Option.
T. Santos-Heiman,
Mercy BioAnalytics Employment, Stock Option.
N. Insixiengmay,
Mercy BioAnalytics Employment, Stock Option.
G. N. Barcaskey,
Mercy BioAnalytics Employment, Stock Option.
K. S. Yang,
Mercy BioAnalytics Employment, Stock Option.
M. S. King,
Mercy BioAnalytics Employment, Stock Option.
M. M. Bassam,
Mercy BioAnalytics Employment, Stock Option.
M. J. Smith,
Mercy BioAnalytics Employment, Stock Option.
A. Panda, None..
T. B. Sullivan, None.
P. Reddy,
Mercy BioAnalytics Employment, Stock Option.
D. R. Mattoon,
Mercy BioAnalytics Employment, Stock Option, Patent.
K. M. Rieger-Christ, None.