Bile metabolic fingerprints distinguish biliary tract cancer from benign biliary diseases.

IF 12.9 1区 医学 Q1 GASTROENTEROLOGY & HEPATOLOGY Hepatology Pub Date : 2024-06-11 DOI:10.1097/HEP.0000000000000957
Shouzhi Yang, Jing Fu, Wenhao Qin, Ruimin Wang, Mingye Gu, Yida Huang, Wanshan Liu, Haiyang Su, Xiaoyu Xu, Wei Chen, Ayizekeranmu Yiming, Bing Hu, Lin Huang, Kun Qian, Hongyang Wang
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Abstract

Background and aims: Biliary tract cancers are aggressive gastrointestinal malignancies characterized by a dismal 5-year overall survival rate <20%. Current diagnostic modalities suffer from limitations regarding sensitivity and specificity. This study aimed to develop a bile metabolite-based platform for precise discrimination between malignant and benign biliary diseases.

Approach and results: Samples were collected from 336 patients with biliary tract cancer or benign biliary diseases across 3 independent cohorts. Untargeted metabolic fingerprinting was performed on 300 bile samples using novel nanoparticle-enhanced laser desorption/ionization mass spectrometry. Subsequently, a diagnostic assay was developed based on the exploratory cohort using a selected bile metabolic biomarker panel, with performance evaluated in the validation cohort. Further external validation of disease-specific metabolites from bile samples was conducted in a prospective cohort (n = 36) using quantitative analysis. As a result, we established a novel bile-based assay, BileMet, for the rapid and precise detection of malignancies in the biliary tract system with an AUC of 0.891. We identified 6-metabolite biomarker candidates and discovered the critical role of the chenodeoxycholic acid glycine conjugate as a protective metabolite associated with biliary tract cancer.

Conclusions: Our findings confirmed the improved diagnostic capabilities of BileMet assay in a clinical setting. If applied, the BileMet assay enables intraoperative testing and fast medical decision-making for cases with suspected malignancy where brush cytology detection fails to support malignancy, ultimately reducing the economic burden by over 90%.

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胆汁代谢指纹可区分胆道癌症和良性胆道疾病。
背景和目的:胆道癌(BTC)是一种侵袭性胃肠道恶性肿瘤,其特点是 5 年总生存率低于 20%,令人沮丧。目前的诊断方法在灵敏度和特异性方面存在局限性。本研究旨在开发一种基于胆汁代谢物的平台,以精确区分恶性和良性胆道疾病:方法和结果:从三个独立队列的 336 名 BTC 或良性胆道疾病患者中采集样本。使用新型纳米粒子增强激光解吸电离质谱(NPELDI MS)对 300 份胆汁样本进行了非靶向代谢指纹分析。随后,在探索性队列的基础上,利用精选的胆汁代谢生物标记物面板开发了一种诊断测定,并在验证队列中对其性能进行了评估。在一个前瞻性队列(36 人)中,使用定量分析对胆汁样本中的疾病特异性代谢物进行了进一步的外部验证。因此,我们建立了一种基于胆汁的新型检测方法 BileMet,用于快速、精确地检测胆道系统中的恶性肿瘤,其曲线下面积为 0.891。我们确定了 6 种候选代谢物生物标志物,并发现了酚去氧胆酸甘氨酸共轭物作为与 BTC 相关的保护性代谢物的关键作用:我们的研究结果证实了 BileMet 检测法在临床环境中的诊断能力得到了提高。如果应用 BileMet 检测法,就能对刷状细胞学检测未能支持恶性肿瘤的疑似恶性肿瘤病例进行术中检测和快速医疗决策,最终将经济负担降低 90% 以上。
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来源期刊
Hepatology
Hepatology 医学-胃肠肝病学
CiteScore
27.50
自引率
3.70%
发文量
609
审稿时长
1 months
期刊介绍: HEPATOLOGY is recognized as the leading publication in the field of liver disease. It features original, peer-reviewed articles covering various aspects of liver structure, function, and disease. The journal's distinguished Editorial Board carefully selects the best articles each month, focusing on topics including immunology, chronic hepatitis, viral hepatitis, cirrhosis, genetic and metabolic liver diseases, liver cancer, and drug metabolism.
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