• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

自身抗体检测能否增强肺癌筛查?——在德国肺癌筛查干预试验(LUSI)背景下对EarlyCDT-Lung的评估。

Can autoantibody tests enhance lung cancer screening?-an evaluation of EarlyCDT-Lung in context of the German Lung Cancer Screening Intervention Trial (LUSI).

作者信息

González Maldonado Sandra, Johnson Theron, Motsch Erna, Delorme Stefan, Kaaks Rudolf

机构信息

Division of Cancer Epidemiology (C020), German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, 69120 Heidelberg, Germany.

Translational Lung Research Center Heidelberg (TLRC-H), Member of the German Center for Lung Research, Heidelberg, Germany.

出版信息

Transl Lung Cancer Res. 2021 Jan;10(1):233-242. doi: 10.21037/tlcr-20-727.

DOI:10.21037/tlcr-20-727
PMID:33569307
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7867751/
Abstract

BACKGROUND

Tumor-associated autoantibodies are considered promising markers for early lung cancer detection; so far, however, their capacity to detect cancer has been tested mostly in a clinical context, but not in population screening settings. This study evaluates the early detection accuracy, in terms of sensitivity and specificity, of EarlyCDT-Lung-a test panel of seven tumor-associated autoantibodies optimized for lung cancer detection-using blood samples originally collected as part of the German Lung Cancer Screening Intervention Trial.

METHODS

The EarlyCDT-Lung test was performed for all participants with lung cancer detected via low-dose computed tomography and with available blood samples taken at detection, and for 180 retrospectively selected cancer-free participants at the end of follow-up: 90 randomly selected from among all cancer-free participants (baseline controls) and 90 randomly selected from among cancer-free participants with suspicious imaging findings (suspicious nodules controls). Sensitivity and specificity of lung cancer detection were estimated in the case group and the two control groups, respectively.

RESULTS

In the case group, the test panel showed a sensitivity of only 13.0% (95% CI: 4.9-26.3%). Specificity was estimated at 88.9% (95% CI: 80.5-94.5%) in the baseline control group, and 91.1% (95% CI: 83.2-96.1%) among controls presenting CT-detected nodules.

CONCLUSIONS

The test panel showed insufficient sensitivity for detecting lung cancer at an equally early stage as with low-dose computed tomography screening.

摘要

背景

肿瘤相关自身抗体被认为是早期肺癌检测的有前景的标志物;然而,到目前为止,它们检测癌症的能力大多在临床环境中进行了测试,而未在人群筛查环境中进行测试。本研究使用最初作为德国肺癌筛查干预试验一部分收集的血样,评估了EarlyCDT-Lung(一种针对肺癌检测优化的七种肿瘤相关自身抗体的检测组合)在早期检测准确性方面的灵敏度和特异性。

方法

对所有通过低剂量计算机断层扫描检测出肺癌且在检测时采集了可用血样的参与者,以及在随访结束时回顾性选择的180名无癌参与者进行EarlyCDT-Lung检测:90名从所有无癌参与者中随机选择(基线对照组),90名从有可疑影像学表现的无癌参与者中随机选择(可疑结节对照组)。分别在病例组和两个对照组中估计肺癌检测的灵敏度和特异性。

结果

在病例组中,检测组合的灵敏度仅为13.0%(95%置信区间:4.9 - 26.3%)。基线对照组的特异性估计为88.9%(95%置信区间:80.5 - 94.5%),CT检测出结节的对照组中的特异性为91.1%(95%置信区间:83.2 - 96.1%)。

结论

该检测组合在检测与低剂量计算机断层扫描筛查同样早期阶段的肺癌时,灵敏度不足。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b0d/7867751/aebba512625f/tlcr-10-01-233-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b0d/7867751/aebba512625f/tlcr-10-01-233-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b0d/7867751/aebba512625f/tlcr-10-01-233-f1.jpg

相似文献

1
Can autoantibody tests enhance lung cancer screening?-an evaluation of EarlyCDT-Lung in context of the German Lung Cancer Screening Intervention Trial (LUSI).自身抗体检测能否增强肺癌筛查?——在德国肺癌筛查干预试验(LUSI)背景下对EarlyCDT-Lung的评估。
Transl Lung Cancer Res. 2021 Jan;10(1):233-242. doi: 10.21037/tlcr-20-727.
2
Detection in blood of autoantibodies to tumour antigens as a case-finding method in lung cancer using the EarlyCDT®-Lung Test (ECLS): study protocol for a randomized controlled trial.使用EarlyCDT®-Lung Test(ECLS)检测血液中肿瘤抗原自身抗体作为肺癌病例发现方法:一项随机对照试验的研究方案。
BMC Cancer. 2017 Mar 11;17(1):187. doi: 10.1186/s12885-017-3175-y.
3
Audit of the autoantibody test, EarlyCDT®-lung, in 1600 patients: an evaluation of its performance in routine clinical practice.1600 例患者的自身抗体检测(EarlyCDT®-lung)审核:对其在常规临床实践中的性能评估。
Lung Cancer. 2014 Jan;83(1):51-5. doi: 10.1016/j.lungcan.2013.10.008. Epub 2013 Oct 22.
4
Application of a high throughput method of biomarker discovery to improvement of the EarlyCDT(®)-Lung Test.高通量生物标志物发现方法在改善早期 CDT(®)-肺测试中的应用。
PLoS One. 2012;7(12):e51002. doi: 10.1371/journal.pone.0051002. Epub 2012 Dec 13.
5
Performance of the EarlyCDT® Lung test in detection of lung cancer and pulmonary metastases in a high-risk cohort.早期 CDT® 肺试验在高危人群中检测肺癌和肺转移的性能。
Lung Cancer. 2021 Aug;158:85-90. doi: 10.1016/j.lungcan.2021.06.010. Epub 2021 Jun 10.
6
Earlier diagnosis of lung cancer in a randomised trial of an autoantibody blood test followed by imaging.在一项先进行自身抗体血液检测随后进行成像的随机试验中对肺癌进行早期诊断。
Eur Respir J. 2021 Jan 14;57(1). doi: 10.1183/13993003.00670-2020. Print 2021 Jan.
7
Assessment of the EarlyCDT-Lung test as an early biomarker of lung cancer in ever-smokers: A retrospective nested case-control study in two prospective cohorts.评估 EarlyCDT-Lung 试验作为两个前瞻性队列中持续吸烟者肺癌的早期生物标志物:一项回顾性巢式病例对照研究。
Int J Cancer. 2023 May 1;152(9):2002-2010. doi: 10.1002/ijc.34340. Epub 2022 Nov 5.
8
Autoantibody Signature Enhances the Positive Predictive Power of Computed Tomography and Nodule-Based Risk Models for Detection of Lung Cancer.自身抗体特征增强了计算机断层扫描和基于结节的风险模型对肺癌检测的阳性预测能力。
J Thorac Oncol. 2017 Mar;12(3):578-584. doi: 10.1016/j.jtho.2016.08.143. Epub 2016 Sep 8.
9
EarlyCDT-Lung: an immunobiomarker test as an aid to early detection of lung cancer.早期 CT 肺测试:一种免疫生物标志物测试,有助于早期发现肺癌。
Cancer Prev Res (Phila). 2011 Jul;4(7):1126-34. doi: 10.1158/1940-6207.CAPR-10-0328.
10
Evaluation of Prediction Models for Identifying Malignancy in Pulmonary Nodules Detected via Low-Dose Computed Tomography.基于低剂量 CT 检测肺结节的良恶性鉴别预测模型评估。
JAMA Netw Open. 2020 Feb 5;3(2):e1921221. doi: 10.1001/jamanetworkopen.2019.21221.

引用本文的文献

1
Multiple Tumor-related autoantibodies test enhances CT-based deep learning performance in diagnosing lung cancer with diameters < 70 mm: a prospective study in China.多项肿瘤相关自身抗体检测提高基于CT的深度学习在诊断直径<70mm肺癌中的性能:一项中国的前瞻性研究
BMC Pulm Med. 2025 Jul 29;25(1):361. doi: 10.1186/s12890-025-03807-6.
2
Upfront blood microRNA test in LDCT-reluctant individuals: insights from the biomild trial.对不愿意接受低剂量CT筛查者进行预先血液微小RNA检测:来自Biomild试验的见解
J Exp Clin Cancer Res. 2025 May 31;44(1):168. doi: 10.1186/s13046-025-03424-5.
3
Emerging Strategies in Lung Cancer Screening: Blood and Beyond.

本文引用的文献

1
Earlier diagnosis of lung cancer in a randomised trial of an autoantibody blood test followed by imaging.在一项先进行自身抗体血液检测随后进行成像的随机试验中对肺癌进行早期诊断。
Eur Respir J. 2021 Jan 14;57(1). doi: 10.1183/13993003.00670-2020. Print 2021 Jan.
2
Evaluation of Prediction Models for Identifying Malignancy in Pulmonary Nodules Detected via Low-Dose Computed Tomography.基于低剂量 CT 检测肺结节的良恶性鉴别预测模型评估。
JAMA Netw Open. 2020 Feb 5;3(2):e1921221. doi: 10.1001/jamanetworkopen.2019.21221.
3
Reduced Lung-Cancer Mortality with Volume CT Screening in a Randomized Trial.
肺癌筛查的新兴策略:血液及其他。
Clin Chem. 2024 Jan 4;70(1):60-67. doi: 10.1093/clinchem/hvad137.
4
Circulating proteome for pulmonary nodule malignancy.循环蛋白质组学在肺结节良恶性诊断中的应用
J Natl Cancer Inst. 2023 Sep 7;115(9):1060-1070. doi: 10.1093/jnci/djad122.
5
Lung cancer risk discrimination of prediagnostic proteomics measurements compared with existing prediction tools.比较预诊断蛋白质组学测量与现有预测工具的肺癌风险判别。
J Natl Cancer Inst. 2023 Sep 7;115(9):1050-1059. doi: 10.1093/jnci/djad071.
6
EarlyCDT Lung blood test for risk classification of solid pulmonary nodules: systematic review and economic evaluation.早期 CT 肺血检测在肺部实性结节危险度分级中的应用:系统评价和经济评估。
Health Technol Assess. 2022 Dec;26(49):1-184. doi: 10.3310/IJFM4802.
7
The combination of a seven-autoantibody panel with computed tomography scanning can enhance the diagnostic efficiency of non-small cell lung cancer.七自身抗体检测组合与计算机断层扫描相结合可提高非小细胞肺癌的诊断效率。
Front Oncol. 2022 Nov 30;12:1047019. doi: 10.3389/fonc.2022.1047019. eCollection 2022.
8
Assessment of the EarlyCDT-Lung test as an early biomarker of lung cancer in ever-smokers: A retrospective nested case-control study in two prospective cohorts.评估 EarlyCDT-Lung 试验作为两个前瞻性队列中持续吸烟者肺癌的早期生物标志物:一项回顾性巢式病例对照研究。
Int J Cancer. 2023 May 1;152(9):2002-2010. doi: 10.1002/ijc.34340. Epub 2022 Nov 5.
9
Impact of low-dose computed tomography (LDCT) screening on lung cancer-related mortality.低剂量计算机断层扫描(LDCT)筛查对肺癌相关死亡率的影响。
Cochrane Database Syst Rev. 2022 Aug 3;8(8):CD013829. doi: 10.1002/14651858.CD013829.pub2.
10
Advances in lung cancer screening and early detection.肺癌筛查与早期检测的进展
Cancer Biol Med. 2022 May 11;19(5):591-608. doi: 10.20892/j.issn.2095-3941.2021.0690.
随机试验中 CT 容积筛查降低肺癌死亡率
N Engl J Med. 2020 Feb 6;382(6):503-513. doi: 10.1056/NEJMoa1911793. Epub 2020 Jan 29.
4
Autoantibodies as diagnostic biomarkers for lung cancer: A systematic review.自身抗体作为肺癌诊断生物标志物的系统评价。
Cell Death Discov. 2019 Aug 5;5:126. doi: 10.1038/s41420-019-0207-1. eCollection 2019.
5
Prolonged lung cancer screening reduced 10-year mortality in the MILD trial: new confirmation of lung cancer screening efficacy.在MILD试验中,延长肺癌筛查可降低10年死亡率:肺癌筛查疗效的新证实
Ann Oncol. 2019 Oct 1;30(10):1672. doi: 10.1093/annonc/mdz169.
6
Lung cancer mortality reduction by LDCT screening-Results from the randomized German LUSI trial.低剂量计算机断层扫描(LDCT)筛查降低肺癌死亡率-来自德国 LUSI 随机试验的结果。
Int J Cancer. 2020 Mar 15;146(6):1503-1513. doi: 10.1002/ijc.32486. Epub 2019 Jun 20.
7
Diagnostic Value of Autoantibodies in Lung Cancer: a Systematic Review and Meta-Analysis.自身抗体在肺癌中的诊断价值:一项系统评价与Meta分析
Cell Physiol Biochem. 2018;51(6):2631-2646. doi: 10.1159/000495935. Epub 2018 Dec 11.
8
Liquid biopsy for early stage lung cancer.早期肺癌的液体活检
J Thorac Dis. 2018 Apr;10(Suppl 7):S876-S881. doi: 10.21037/jtd.2018.04.26.
9
Serum and blood based biomarkers for lung cancer screening: a systematic review.血清和血液生物标志物在肺癌筛查中的应用:系统评价。
BMC Cancer. 2018 Feb 13;18(1):181. doi: 10.1186/s12885-018-4024-3.
10
Screening for Lung Cancer: CHEST Guideline and Expert Panel Report.肺癌筛查:CHEST 指南和专家小组报告。
Chest. 2018 Apr;153(4):954-985. doi: 10.1016/j.chest.2018.01.016. Epub 2018 Feb 17.