血浆代谢组学在甲状旁腺癌术前诊断中的应用。

Jinheng Xiao, Ming Cui, Qingyuan Zheng, Sen Yang, Tianqi Chen, Ya Hu
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引用次数: 0

摘要

甲状旁腺癌是一种罕见的内分泌恶性肿瘤,预后较差。术前诊断仍然是临床实践中的主要挑战,因为诊断方法有限和非特异性的临床特征。本研究旨在描述PC和甲状旁腺瘤(PA)患者不同的血浆代谢谱,并确定有希望用于PC术前鉴别诊断的生物标志物。本回顾性研究共纳入115例患者,其中发现组70例(24例PC, 46例PA),验证组45例(15例PC, 30例PA)。术前采集血浆标本。利用LC-MS /MS分析发现队列,探索代谢谱,找出差异丰富的代谢物。随后,在外部验证队列中验证潜在的诊断生物标志物,以寻找手术前鉴别诊断PC的新生物标志物。与PA患者血浆样品相比,PC患者血浆样品中MS/MS共鉴定出3个上调代谢物和42个下调代谢物。差异丰富的代谢物在花生四烯酸、色氨酸和激素代谢途径中显著富集。值得注意的是,7-酮去氧胆酸(p=0.002, AUC=0.804)和色氨酸(p
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Plasma metabolomics for the preoperative diagnosis of parathyroid carcinoma.

Parathyroid carcinoma (PC) is a rare endocrine malignancy with a poor prognosis. Preoperative diagnosis remains a major challenge in clinical practice because of limited diagnostic methods and non-specific clinical features. This study aimed to describe the distinct plasma metabolic profiles of PC and parathyroid adenoma (PA) patients and identify promising biomarkers for the preoperative differential diagnosis of PC. A total of 115 patients were enrolled in this retrospective study, including 70 patients (24 PC and 46 PA) in the discovery cohort and 45 patients (15 PC and 30 PA) in the validation cohort. Plasma samples were collected before operation. LC-MS/MS analysis was utilised on the discovery cohort to explore the metabolic profile and find out differentially abundant metabolites. Subsequently, potential diagnostic biomarkers were verified in an external validation cohort to find out novel biomarkers for the differential diagnosis of PC before surgery. Compared with the plasma samples of PA patients, a total of three upregulated and 42 downregulated metabolites were identified by MS/MS in the plasma samples of PC patients. The differentially abundant metabolites were significantly enriched in the arachidonic acid, tryptophan, and hormone metabolism pathways. Notably, 7-ketodeoxycholic acid (P = 0.002, AUC = 0.804) and tryptophan (P < 0.001, AUC = 0.838) were confirmed to show high accuracy in differential diagnosis in the validation cohort. Therefore, metabolomics analysis of parathyroid neoplasms revealed significant differences in metabolic profiles between PAs and PCs. The plasma levels of 7-ketodeoxycholic acid and tryptophan could serve as potential diagnostic biomarkers for PC.

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