• 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

用于非小细胞肺癌早期检测的多重双分析物免疫测定法的性能

Performance of a multiplexed dual analyte immunoassay for the early detection of non-small cell lung cancer.

作者信息

Doseeva Victoria, Colpitts Tracey, Gao Grace, Woodcock Juliana, Knezevic Vladimir

机构信息

20/20 GeneSystems, 9430 Key West Avenue, Rockville, MD, 20850, USA.

Abbott Molecular Inc, 1300 E Touhy Avenue, Des Plaines, IL, 60018, USA.

出版信息

J Transl Med. 2015 Feb 12;13:55. doi: 10.1186/s12967-015-0419-y.

DOI:10.1186/s12967-015-0419-y
PMID:25880432
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4335536/
Abstract

OBJECTIVES

"PAULA's" test (Protein Assays Utilizing Lung cancer Analytes) is a novel multiplex immunoassay blood test that incorporates both tumor antigens and autoantibodies to determine the risk that lung cancer (LC) is present in individuals from a high-risk population. The test's performance characteristics were evaluated in a study using 380 retrospective clinical serum samples.

METHODS

PAULA's test is performed on the Luminex xMAP technology platform, and detects a panel of 3 tumor antigens (CEA, CA-125, and CYFRA 21-1) and 1 autoantibody marker (NY-ESO-1). A training set (n = 230) consisting of 115 confirmed diagnoses of non-small cell lung carcinoma (NSCLC) cases and 115 age- and smoking history-matched controls was used to develop the LC predictive model. Data from an independent matched validation set (n = 150) was then used to evaluate the model developed, and determine the ability of the test to distinguish NSCLC cases from controls.

RESULTS

The 4-biomarker panel was able to discriminate NSCLC cases from controls with 74% sensitivity, 80% specificity, and 0.81 AUC in the training set and with 77% sensitivity, 80% specificity, and 0.85 AUC in the independent validation set. The use of NY-ESO-1 autoantibodies substantially increased the overall sensitivity of NSCLC detection as compared to the 3 tumor markers alone. Overall, the multiplexed 4-biomarker panel assay demonstrated comparable performance to a previously employed 8-biomarker non-multiplexed assay.

CONCLUSIONS

These studies confirm the value of using a mixed panel of tumor antigens and autoantibodies in the early detection of NSCLC in high-risk individuals. The results demonstrate that the performance of PAULA's test makes it suitable for use as an aid to determine which high-risk patients need to be directed to appropriate noninvasive diagnostic follow-up testing, especially low-dose CT (LDCT).

摘要

目的

“宝拉”检测(利用肺癌分析物的蛋白质检测)是一种新型多重免疫分析血液检测,它结合了肿瘤抗原和自身抗体,以确定高危人群个体中存在肺癌(LC)的风险。在一项使用380份回顾性临床血清样本的研究中评估了该检测的性能特征。

方法

“宝拉”检测在Luminex xMAP技术平台上进行,检测一组3种肿瘤抗原(癌胚抗原、糖类抗原125和细胞角蛋白19片段)和1种自身抗体标志物(NY-ESO-1)。使用由115例确诊的非小细胞肺癌(NSCLC)病例和115例年龄及吸烟史匹配的对照组成的训练集(n = 230)来建立LC预测模型。然后使用来自独立匹配验证集(n = 150)的数据来评估所建立的模型,并确定该检测区分NSCLC病例和对照的能力。

结果

在训练集中,4生物标志物组合能够以74%的灵敏度、80%的特异性和0.81的曲线下面积区分NSCLC病例和对照,在独立验证集中以77%的灵敏度、80%的特异性和0.85的曲线下面积区分。与单独的3种肿瘤标志物相比,NY-ESO-1自身抗体的使用显著提高了NSCLC检测的总体灵敏度。总体而言,多重4生物标志物组合检测显示出与先前使用的8生物标志物非多重检测相当的性能。

结论

这些研究证实了在高危个体中使用肿瘤抗原和自身抗体混合组合进行NSCLC早期检测的价值。结果表明,“宝拉”检测的性能使其适合用作辅助手段,以确定哪些高危患者需要接受适当的非侵入性诊断后续检测,尤其是低剂量CT(LDCT)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9572/4335536/015c3debf8ec/12967_2015_419_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9572/4335536/6176b98f5826/12967_2015_419_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9572/4335536/015c3debf8ec/12967_2015_419_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9572/4335536/6176b98f5826/12967_2015_419_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9572/4335536/015c3debf8ec/12967_2015_419_Fig2_HTML.jpg

相似文献

1
Performance of a multiplexed dual analyte immunoassay for the early detection of non-small cell lung cancer.用于非小细胞肺癌早期检测的多重双分析物免疫测定法的性能
J Transl Med. 2015 Feb 12;13:55. doi: 10.1186/s12967-015-0419-y.
2
Serological proteome analysis approach-based identification of ENO1 as a tumor-associated antigen and its autoantibody could enhance the sensitivity of CEA and CYFRA 21-1 in the detection of non-small cell lung cancer.基于血清蛋白质组分析方法鉴定ENO1作为肿瘤相关抗原及其自身抗体可提高CEA和CYFRA 21-1在非小细胞肺癌检测中的敏感性。
Oncotarget. 2017 May 30;8(22):36664-36673. doi: 10.18632/oncotarget.17067.
3
Identification of ten serum microRNAs from a genome-wide serum microRNA expression profile as novel noninvasive biomarkers for nonsmall cell lung cancer diagnosis.从全基因组血清 microRNA 表达谱中鉴定出的十个血清 microRNAs 作为非小细胞肺癌诊断的新型无创生物标志物。
Int J Cancer. 2012 Apr 1;130(7):1620-8. doi: 10.1002/ijc.26177. Epub 2011 Aug 3.
4
A novel detection method of non-small cell lung cancer using multiplexed bead-based serum biomarker profiling.基于多重珠血清生物标志物分析的新型非小细胞肺癌检测方法。
J Thorac Cardiovasc Surg. 2012 Feb;143(2):421-7. doi: 10.1016/j.jtcvs.2011.10.046. Epub 2011 Nov 20.
5
Development of a Protein Biomarker Panel to Detect Non-Small-Cell Lung Cancer in Korea.用于检测韩国非小细胞肺癌的蛋白质生物标志物组合的开发。
Clin Lung Cancer. 2017 Mar;18(2):e99-e107. doi: 10.1016/j.cllc.2016.09.012. Epub 2016 Oct 5.
6
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.
7
Potential circulating miRNA signature for early detection of NSCLC.用于早期检测非小细胞肺癌的潜在循环微小RNA特征
Cancer Genet. 2017 Oct;216-217:150-158. doi: 10.1016/j.cancergen.2017.07.006. Epub 2017 Aug 7.
8
A cancer/testis antigen microarray to screen autoantibody biomarkers of non-small cell lung cancer.一种用于筛选非小细胞肺癌自身抗体生物标志物的癌症/睾丸抗原微阵列。
Cancer Lett. 2013 Jan 1;328(1):160-7. doi: 10.1016/j.canlet.2012.08.019. Epub 2012 Aug 23.
9
CTAPIII/CXCL7: a novel biomarker for early diagnosis of lung cancer.CTAPIII/CXCL7:一种用于肺癌早期诊断的新型生物标志物。
Cancer Med. 2018 Feb;7(2):325-335. doi: 10.1002/cam4.1292. Epub 2018 Jan 22.
10
Diagnostic Value of Serum miR-182, miR-183, miR-210, and miR-126 Levels in Patients with Early-Stage Non-Small Cell Lung Cancer.血清miR-182、miR-183、miR-210和miR-126水平在早期非小细胞肺癌患者中的诊断价值
PLoS One. 2016 Apr 19;11(4):e0153046. doi: 10.1371/journal.pone.0153046. eCollection 2016.

引用本文的文献

1
Emerging Multifunctional Carbon-Nanomaterial-Based Biosensors for Cancer Diagnosis.用于癌症诊断的新型多功能碳纳米材料基生物传感器
Small Sci. 2024 Jan 22;4(3):2300221. doi: 10.1002/smsc.202300221. eCollection 2024 Mar.
2
The diagnostic efficacy of seven autoantibodies in early detection of ground-glass nodular lung adenocarcinoma.七种自身抗体在磨玻璃结节型肺腺癌早期检测中的诊断效能
Front Oncol. 2024 Nov 26;14:1499140. doi: 10.3389/fonc.2024.1499140. eCollection 2024.
3
Discriminant Power of Smartphone-Derived Keystroke Dynamics for Mild Cognitive Impairment Compared to a Neuropsychological Screening Test: Cross-Sectional Study.

本文引用的文献

1
Prognostic and predictive biomarkers in early stage NSCLC: CTCs and serum/plasma markers.早期非小细胞肺癌的预后和预测生物标志物:CTC 和血清/血浆标志物。
Transl Lung Cancer Res. 2013 Oct;2(5):382-97. doi: 10.3978/j.issn.2218-6751.2013.09.02.
2
Validation of a blood protein signature for non-small cell lung cancer.血液蛋白标志物对非小细胞肺癌的验证。
Clin Proteomics. 2014 Aug 1;11(1):32. doi: 10.1186/1559-0275-11-32. eCollection 2014.
3
Development of a multiplex autoantibody test for detection of lung cancer.用于检测肺癌的多重自身抗体检测方法的开发。
基于智能手机按键动力学的判别能力与神经心理学筛查测试相比,对轻度认知障碍的评估:一项横断面研究。
J Med Internet Res. 2024 Oct 30;26:e59247. doi: 10.2196/59247.
4
Autoantibodies in cancer: a systematic review of their clinical role in the most prevalent cancers.癌症中的自身抗体:最常见癌症中其临床作用的系统评价。
Front Immunol. 2024 Aug 21;15:1455602. doi: 10.3389/fimmu.2024.1455602. eCollection 2024.
5
Lung cancer screening: where do we stand?肺癌筛查:我们目前的状况如何?
Breathe (Sheff). 2024 Aug 27;20(2):230190. doi: 10.1183/20734735.0190-2023. eCollection 2024 Jun.
6
Prevalence of CEA, CA 125, and CA 15-3 serum tumour markers in different regions of Saudi Arabia.沙特阿拉伯不同地区的 CEA、CA125 和 CA15-3 血清肿瘤标志物的流行情况。
Saudi Med J. 2024 Jun;45(6):565-571. doi: 10.15537/smj.2024.45.6.20230878.
7
The role of seven tumor-associated autoantibodies in the diagnosis, staging and treatment guidance of lung cancer.七种肿瘤相关自身抗体在肺癌诊断、分期和治疗指导中的作用。
BMC Pulm Med. 2024 May 21;24(1):250. doi: 10.1186/s12890-024-03060-3.
8
Application value of the automated machine learning model based on modified CT index combined with serological indices in the early prediction of lung cancer.基于改良CT指标联合血清学指标的自动化机器学习模型在肺癌早期预测中的应用价值
Front Public Health. 2024 Apr 5;12:1368217. doi: 10.3389/fpubh.2024.1368217. eCollection 2024.
9
The Early Diagnosis of Lung Cancer: Critical Gaps in the Discovery of Biomarkers.肺癌的早期诊断:生物标志物发现中的关键差距
J Clin Med. 2023 Nov 23;12(23):7244. doi: 10.3390/jcm12237244.
10
Potential biomarkers for predicting immune response and outcomes in lung cancer patients undergoing thermal ablation.预测肺癌患者接受热消融治疗后免疫反应和结局的潜在生物标志物。
Front Immunol. 2023 Nov 1;14:1268331. doi: 10.3389/fimmu.2023.1268331. eCollection 2023.
PLoS One. 2014 Apr 22;9(4):e95444. doi: 10.1371/journal.pone.0095444. eCollection 2014.
4
Current readings: blood-based biomarkers for lung cancer.当前读数:肺癌的基于血液的生物标志物。
Semin Thorac Cardiovasc Surg. 2013 Winter;25(4):328-34. doi: 10.1053/j.semtcvs.2013.11.001. Epub 2013 Nov 21.
5
Overdiagnosis in low-dose computed tomography screening for lung cancer.低剂量计算机断层扫描筛查肺癌中的过度诊断。
JAMA Intern Med. 2014 Feb 1;174(2):269-74. doi: 10.1001/jamainternmed.2013.12738.
6
A blood-based proteomic classifier for the molecular characterization of pulmonary nodules.一种基于血液的蛋白质组学分类器,用于肺结节的分子特征分析。
Sci Transl Med. 2013 Oct 16;5(207):207ra142. doi: 10.1126/scitranslmed.3007013.
7
Isocitrate dehydrogenase 1 is a novel plasma biomarker for the diagnosis of non-small cell lung cancer.异柠檬酸脱氢酶 1 是一种新型的非小细胞肺癌血浆生物标志物。
Clin Cancer Res. 2013 Sep 15;19(18):5136-45. doi: 10.1158/1078-0432.CCR-13-0046.
8
Screening for lung cancer with low-dose computed tomography: a systematic review to update the US Preventive services task force recommendation.用低剂量计算机断层扫描进行肺癌筛查:系统评价以更新美国预防服务工作组的建议。
Ann Intern Med. 2013 Sep 17;159(6):411-420. doi: 10.7326/0003-4819-159-6-201309170-00690.
9
Molecular biomarkers for future screening of lung cancer.用于未来肺癌筛查的分子生物标志物。
J Surg Oncol. 2013 Oct;108(5):327-33. doi: 10.1002/jso.23382. Epub 2013 Jul 25.
10
Early lung cancer diagnosis by biosensors.生物传感器在肺癌早期诊断中的应用。
Int J Mol Sci. 2013 Jul 25;14(8):15479-509. doi: 10.3390/ijms140815479.