Liquid biopsy to identify Barrett’s oesophagus, dysplasia and oesophageal adenocarcinoma: the EMERALD multicentre study

IF 23 1区 医学 Q1 GASTROENTEROLOGY & HEPATOLOGY
Gut Pub Date : 2024-11-19 DOI:10.1136/gutjnl-2024-333364
Jinsei Miyoshi, Alessandro Mannucci, Marco Scarpa, Feng Gao, Shusuke Toden, Timothy 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 A Anderson, Stephen J Meltzer, Ajay Goel
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引用次数: 0

Abstract

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][1]) 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][1]. Data sharing not applicable as no datasets generated and/or analysed for this study. Data collected for the study, including deidentified participant data and the code, will be made available to others at publication via a signed data access agreement and at the discretion of the investigators’ approval of the proposed use of such data. [1]: /lookup/external-ref?link_type=CLINTRIALGOV&access_num=NCT06381583&atom=%2Fgutjnl%2Fearly%2F2024%2F11%2F18%2Fgutjnl-2024-333364.atom
液体活检鉴定巴雷特食管、发育不良和食管腺癌:EMERALD 多中心研究
背景 目前尚无与临床相关的血清学标记物用于早期检测食管腺癌(EAC)及其前驱病变--巴雷特食管(BE)。目标 开发并测试一种基于血液的 EAC 和 BE 检测方法。设计 巴雷特食管、腺癌和增生的食管微RNA(EMERALD)是一项大型国际多中心生物标志物队列研究,涉及来自 4 个国家的 792 份患者样本([NCT06381583][1]),旨在开发和验证用于早期检测 EAC 和高风险 BE 的循环 miRNA 标志。研究人员利用基于组织的 miRNA 测序和芯片数据集(n=134)确定了具有诊断潜力的候选 miRNA,然后利用 42 对匹配的癌症和正常组织进行了验证。候选 miRNA 的有用性最初是通过 108 份血清(44 份 EAC 血清、34 份 EAC 前体血清和 30 份非疾病对照血清)进行评估的。最后,我们根据训练队列(n=160)中循环 miRNA 的 RT-qPCR 结果训练了一个机器学习模型(XGBoost+AdaBoost),并在外部队列(n=295)中进行了独立测试。结果 经过严格的生物标志物发现和筛选过程,我们从三个不同国籍的独立队列中发现了六种 miRNA(miR-106b、miR-146a、miR-15a、miR-18a、miR-21 和 miR-93),与非疾病对照组相比,它们在所有患者血清中都表达过高。我们利用训练队列建立了六种 miRNA 诊断特征(接收者操作特征曲线下面积 (AUROC):97.6%),并对其进行了测试:97.6%),并在独立队列中进行了测试(AUROC:91.9%)。该检测方法还能从胃食管反流病患者中识别出 BE 患者(AUROC:94.8%,灵敏度:92.8%,特异性:85.1%)。结论 我们采用一种综合方法,将无偏见的全基因组生物标记物发现和多个独立实验验证结合在一起,开发并验证了一种新型血液检验方法,该方法可作为 BE/EAC 筛查方案的补充。试验注册号[NCT06381583][1]。由于本研究未生成和/或分析数据集,因此不适用数据共享。为本研究收集的数据,包括去身份化的参与者数据和代码,将通过签署数据访问协议并经研究者酌情批准使用这些数据后,在发表时向他人提供。[1]:/lookup/external-ref?link_type=CLINTRIALGOV&access_num=NCT06381583&atom=%2Fgutjnl%2Fearly%2F2024%2F11%2F18%2Fgutjnl-2024-333364.atom
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来源期刊
Gut
Gut 医学-胃肠肝病学
CiteScore
45.70
自引率
2.40%
发文量
284
审稿时长
1.5 months
期刊介绍: Gut is a renowned international journal specializing in gastroenterology and hepatology, known for its high-quality clinical research covering the alimentary tract, liver, biliary tree, and pancreas. It offers authoritative and current coverage across all aspects of gastroenterology and hepatology, featuring articles on emerging disease mechanisms and innovative diagnostic and therapeutic approaches authored by leading experts. As the flagship journal of BMJ's gastroenterology portfolio, Gut is accompanied by two companion journals: Frontline Gastroenterology, focusing on education and practice-oriented papers, and BMJ Open Gastroenterology for open access original research.
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