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Liquid biopsy to identify Barrett’s oesophagus, dysplasia and oesophageal adenocarcinoma: theEMERALDmulticentre study

医学 队列 内科学 生物标志物 发育不良 肿瘤科 癌症 胃肠病学 腺癌 巴雷特食管 接收机工作特性 病理 生物 生物化学
作者
Jinsei Miyoshi,Alessandro Mannucci,Marco Scarpa,Feng Gao,Shusuke Toden,Timothy G. Whitsett,Landon J. Inge,Ross M. Bremner,Tetsuji Takayama,Yulan Cheng,Teodoro Bottiglieri,Iris D Nagetaal,Martha J. Shrubsole,Ali H. Zaidi,Xin Wang,Helen G. Coleman,Lesley Anderson,Stephen J. Meltzer,Ajay Goel
出处
期刊:Gut [BMJ]
卷期号:74 (2): 169-181 被引量:14
标识
DOI:10.1136/gutjnl-2024-333364
摘要

Background There is no clinically relevant serological marker for the early detection of oesophageal adenocarcinoma (EAC) and its precursor lesion, Barrett’s oesophagus (BE). Objective To develop and test a blood-based assay for EAC and BE. Design Oesophageal MicroRNAs of BaRRett, Adenocarcinoma and Dysplasia ( EMERALD ) was a large, international, multicentre biomarker cohort study involving 792 patient samples from 4 countries ( NCT06381583 ) to develop and validate a circulating miRNA signature for the early detection of EAC and high-risk BE. Tissue-based miRNA sequencing and microarray datasets (n=134) were used to identify candidate miRNAs of diagnostic potential, followed by validation using 42 pairs of matched cancer and normal tissues. The usefulness of the candidate miRNAs was initially assessed using 108 sera (44 EAC, 34 EAC precursors and 30 non-disease controls). We finally trained a machine learning model (XGBoost+AdaBoost) on RT-qPCR results from circulating miRNAs from a training cohort (n=160) and independently tested it in an external cohort (n=295). Results After a strict process of biomarker discovery and selection, we identified six miRNAs that were overexpressed in all sera of patients compared with non-disease controls from three independent cohorts of different nationalities (miR-106b, miR-146a, miR-15a, miR-18a, miR-21 and miR-93). We established a six-miRNA diagnostic signature using the training cohort (area under the receiver operating characteristic curve (AUROC): 97.6%) and tested it in an independent cohort (AUROC: 91.9%). This assay could also identify patients with BE among patients with gastro-oesophageal reflux disease (AUROC: 94.8%, sensitivity: 92.8%, specificity: 85.1%). Conclusion Using a comprehensive approach integrating unbiased genome-wide biomarker discovery and several independent experimental validations, we have developed and validated a novel blood test that might complement screening options for BE/EAC. Trial registration number NCT06381583 .
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