A Clinical Validation of a Diagnostic Test for Esophageal Adenocarcinoma Based on a Novel Serum Glycoprotein Biomarker Panel: PromarkerEso.

IF 4 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Jordana Sheahan, Iris Wang, Peter Galettis, David I Watson, Virendra Joshi, Michelle M Hill, Richard Lipscombe, Kirsten Peters, Scott Bringans
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引用次数: 0

Abstract

Background: Esophageal adenocarcinoma (EAC) diagnosis involves invasive and expensive endoscopy with biopsy, but rising EAC incidence has not been reduced by increased surveillance. This study aimed to develop and clinically validate a novel glycoprotein biomarker blood test for EAC, named PromarkerEso.

Methods: Serum glycoprotein relative concentrations were measured using a lectin-based magnetic bead array pulldown method, with multiple reaction monitoring mass spectrometry in 259 samples across three independent cohorts. A panel of glycoproteins: alpha-1-antitrypsin, alpha-1-antichymotrypsin, complement C9 and plasma kallikrein, were combined with clinical factors (age, sex and BMI) in an algorithm to categorize the samples by the risk of EAC.

Results: PromarkerEso demonstrated a strong discrimination of EAC from the controls (area under the curve (AUC) of 0.91 in the development cohort and 0.82 and 0.98 in the validation cohorts). The test exhibited a high sensitivity for EAC (98% in the development cohort, and 99.9% and 91% in the validation cohorts) and a high specificity (88% in the development cohort, and 86% and 99% in the validation cohorts). PromarkerEso identified individuals with and without EAC (96% and 95% positive and negative predictive values).

Conclusions: This less invasive approach for EAC detection with the novel combination of these glycoprotein biomarkers and clinical factors coalesces in a potential step toward improved diagnosis.

基于新型血清糖蛋白生物标志物PromarkerEso的食管腺癌诊断试验的临床验证。
背景:食管腺癌(EAC)的诊断涉及侵入性和昂贵的内镜活检,但增加的监测并没有降低EAC的发病率。本研究旨在开发并临床验证一种名为PromarkerEso的新型EAC糖蛋白生物标志物血液检测方法。方法:采用基于凝集素的磁珠阵列下拉法测量血清糖蛋白相对浓度,并采用多重反应监测质谱法对三个独立队列的259个样本进行检测。一组糖蛋白:α -1抗胰蛋白酶、α -1抗凝乳胰蛋白酶、补体C9和血浆钾激肽,结合临床因素(年龄、性别和BMI),通过算法对EAC风险样本进行分类。结果:PromarkerEso显示EAC与对照组有很强的区别(开发队列的曲线下面积(AUC)为0.91,验证队列的AUC为0.82和0.98)。该试验对EAC具有高灵敏度(开发队列为98%,验证队列为99.9%和91%)和高特异性(开发队列为88%,验证队列为86%和99%)。PromarkerEso对患有和不患有EAC的个体进行了识别(96%和95%的阳性和阴性预测值)。结论:这种微创的EAC检测方法结合了这些糖蛋白生物标志物和临床因素,在改善诊断方面迈出了潜在的一步。
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来源期刊
Proteomes
Proteomes Biochemistry, Genetics and Molecular Biology-Clinical Biochemistry
CiteScore
6.50
自引率
3.00%
发文量
37
审稿时长
11 weeks
期刊介绍: Proteomes (ISSN 2227-7382) is an open access, peer reviewed journal on all aspects of proteome science. Proteomes covers the multi-disciplinary topics of structural and functional biology, protein chemistry, cell biology, methodology used for protein analysis, including mass spectrometry, protein arrays, bioinformatics, HTS assays, etc. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. Therefore, there is no restriction on the length of papers. Scope: -whole proteome analysis of any organism -disease/pharmaceutical studies -comparative proteomics -protein-ligand/protein interactions -structure/functional proteomics -gene expression -methodology -bioinformatics -applications of proteomics
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