Plasma-based untargeted metabolomics reveals potential biomarkers for screening and distinguishing of ovarian tumors

IF 3.2 3区医学 Q2 MEDICAL LABORATORY TECHNOLOGY

Clinica Chimica Acta Pub Date : 2025-03-17 DOI:10.1016/j.cca.2025.120246

Shen Peng , Yiming Zhu , Jing Zhu , Zhongjian Chen , Yi Tao

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引用次数: 0

Abstract

Ovarian cancer (OC), a leading cause of gynecological cancer mortality, is frequently detected at advanced stages due to asymptomatic early progression. This study investigates plasma-based untargeted metabolomics for identifying biomarkers to screen and differentiate ovarian tumors (OT). Plasma samples from OC, benign ovarian tumors (BOT), and healthy controls (HC) were analyzed. Samples were randomized into train and test sets, with differential metabolites screened via two-tailed Student’s t-test and partial least squares discriminant analysis. ROC models evaluated discriminatory capacity. Key metabolites demonstrated high predictive value: TMAO and hippuric acid distinguished OT from HC (AUC > 0.95), while linoleic acid, alpha-linolenic acid, and arachidonic acid (AUC > 0.9) further supported OT screening. Kynurenine differentiated OC from BOT (AUC = 0.808). Reduced levels of specific lysophosphatidylcholines (LPC (17:0/0:0), LPC (15:0/0:0)) also distinguished OT from HC (AUC = 0.771–0.89). These findings suggest plasma metabolomics holds promise for noninvasive biomarker discovery in OT screening and distinguishing between malignant and benign cases, though further validation of metabolite quantification is warranted prior to clinical application.

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基于血浆的非靶向代谢组学揭示了筛选和区分卵巢肿瘤的潜在生物标志物。

卵巢癌（OC）是妇科癌症死亡率的主要原因，由于无症状的早期进展，经常在晚期发现。本研究探讨了基于血浆的非靶向代谢组学鉴定生物标志物以筛选和区分卵巢肿瘤（OT）。分析卵巢癌、良性卵巢肿瘤（BOT）和健康对照（HC）的血浆样本。样本随机分为训练组和测试组，通过双尾学生t检验和偏最小二乘判别分析筛选差异代谢物。ROC模型评估歧视能力。关键代谢物具有较高的预测价值：TMAO和马尿酸区分OT和HC (AUC > 0.95)，而亚油酸、α -亚麻酸和花生四烯酸（AUC > 0.9）进一步支持OT筛选。犬尿氨酸可区分OC与BOT （AUC = 0.808）。特异溶血磷脂酰胆碱水平降低(LPC （17:0/0:0)， LPC(15:0/0:0)）也能区分OT和HC （AUC = 0.771-0.89）。这些发现表明血浆代谢组学有望在OT筛查和区分恶性和良性病例中发现无创生物标志物，尽管在临床应用之前需要进一步验证代谢物量化。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Clinica Chimica Acta 医学-医学实验技术

CiteScore

10.10

自引率

2.00%

发文量

1268

审稿时长

23 days

期刊介绍： The Official Journal of the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC) Clinica Chimica Acta is a high-quality journal which publishes original Research Communications in the field of clinical chemistry and laboratory medicine, defined as the diagnostic application of chemistry, biochemistry, immunochemistry, biochemical aspects of hematology, toxicology, and molecular biology to the study of human disease in body fluids and cells. The objective of the journal is to publish novel information leading to a better understanding of biological mechanisms of human diseases, their prevention, diagnosis, and patient management. Reports of an applied clinical character are also welcome. Papers concerned with normal metabolic processes or with constituents of normal cells or body fluids, such as reports of experimental or clinical studies in animals, are only considered when they are clearly and directly relevant to human disease. Evaluation of commercial products have a low priority for publication, unless they are novel or represent a technological breakthrough. Studies dealing with effects of drugs and natural products and studies dealing with the redox status in various diseases are not within the journal''s scope. Development and evaluation of novel analytical methodologies where applicable to diagnostic clinical chemistry and laboratory medicine, including point-of-care testing, and topics on laboratory management and informatics will also be considered. Studies focused on emerging diagnostic technologies and (big) data analysis procedures including digitalization, mobile Health, and artificial Intelligence applied to Laboratory Medicine are also of interest.