Plasma metabolomics and lipidomics reveal potential novel biomarkers in early gastric cancer: An explorative study.

IF 2.3 4区 医学 Q3 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Feng Wang, Ruifang Pang, Xudong Zhao, Bin Zhou, Yuan Tian, Yongchen Ma, Long Rong
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引用次数: 0

Abstract

Background: Early identification and therapy can significantly improve the outcome for gastric cancer. However, there is still no perfect biomarker available for the detection of early gastric cancer. This study aimed to investigate the alterations in the plasma metabolites of early gastric cancer using metabolomics and lipidomics based on high-performance liquid chromatography-mass spectrometry (HPLC-MS), which detected potential biomarkers that could be used for clinical diagnosis.

Methods: To investigate the changes in metabolomics and lipidomics, a total of 30 plasma samples were collected, consisting of 15 patients with early gastric cancer and 15 healthy controls. Extensive HPLC-MS-based untargeted metabolomic and lipidomic investigations were conducted. Differential metabolites and metabolic pathways were uncovered through the utilization of statistical analysis and bioinformatics analysis. Candidate biomarker screening was performed using support vector machine-based multivariate receiver operating characteristic analysis.

Results: A disturbance was observed in a combined total of 19 metabolites and 67 lipids of the early gastric cancer patients. The analysis of KEGG pathways showed that the early gastric cancer patients experienced disruptions in the arginine biosynthesis pathway, the pathway for alanine, aspartate, and glutamate metabolism, as well as the pathway for glyoxylate and dicarboxylate metabolism. Plasma metabolomics and lipidomics have identified multiple biomarker panels that can effectively differentiate early gastric cancer patients from healthy controls, exhibiting an area under the curve exceeding 0.9.

Conclusion: These metabolites and lipids could potentially serve as biomarkers for the screening of early gastric cancer, thereby optimizing the strategy for the detection of early gastric cancer. The disrupted pathways implicated in early gastric cancer provide new clues for additional understanding of gastric cancer's pathogenesis. Nonetheless, large-scale clinical data are required to prove our findings.

血浆代谢组学和脂质组学揭示早期胃癌潜在的新型生物标记物:一项探索性研究
背景:早期识别和治疗可大大改善胃癌的预后。然而,目前仍没有完美的生物标志物可用于检测早期胃癌。本研究旨在利用基于高效液相色谱-质谱联用技术(HPLC-MS)的代谢组学和脂质组学研究早期胃癌血浆代谢物的变化,从而发现可用于临床诊断的潜在生物标志物:为了研究代谢组学和脂质组学的变化,共收集了30份血浆样本,其中包括15名早期胃癌患者和15名健康对照者。研究人员进行了广泛的基于 HPLC-MS 的非靶向代谢组学和脂质组学研究。通过统计分析和生物信息学分析,发现了差异代谢物和代谢途径。利用基于支持向量机的多变量接受者操作特征分析进行了候选生物标志物筛选:结果:早期胃癌患者的 19 种代谢物和 67 种脂质出现了紊乱。KEGG通路分析表明,早期胃癌患者的精氨酸生物合成通路、丙氨酸、天门冬氨酸和谷氨酸代谢通路以及乙醛酸和二羧酸代谢通路出现了紊乱。血浆代谢组学和脂质组学发现了多种生物标记物,可有效区分早期胃癌患者和健康对照组,其曲线下面积超过 0.9:这些代谢物和脂质有可能成为筛查早期胃癌的生物标记物,从而优化早期胃癌的检测策略。与早期胃癌有关的紊乱途径为进一步了解胃癌的发病机制提供了新的线索。然而,我们的发现还需要大规模的临床数据来证明。
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
International Journal of Biological Markers
International Journal of Biological Markers 医学-生物工程与应用微生物
CiteScore
4.10
自引率
0.00%
发文量
43
期刊介绍: IJBM is an international, online only, peer-reviewed Journal, which publishes original research and critical reviews primarily focused on cancer biomarkers. IJBM targets advanced topics regarding the application of biomarkers in oncology and is dedicated to solid tumors in adult subjects. The clinical scenarios of interests are screening and early diagnosis of cancer, prognostic assessment, prediction of the response to and monitoring of treatment.
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