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氨基酸谱分析在卵巢癌筛查中的作用,特别强调其在癌症发生中的作用。

Usefulness of Amino Acid Profiling in Ovarian Cancer Screening with Special Emphasis on Their Role in Cancerogenesis.

机构信息

Department of Inorganic and Analytical Chemistry, Poznan University of Medical Sciences, 6 Grunwaldzka Street, 60-780 Poznan, Poland.

Gynecologic Oncology Department, Poznan University of Medical Sciences, 33 Polna Street, 60-535 Poznan, Poland.

出版信息

Int J Mol Sci. 2017 Dec 16;18(12):2727. doi: 10.3390/ijms18122727.

Abstract

The aim of this study was to quantitate 42 serum-free amino acids, propose the biochemical explanation of their role in tumor development, and identify new ovarian cancer (OC) biomarkers for potential use in OC screening. The additional value of this work is the schematic presentation of the interrelationship between metabolites which were identified as significant for OC development and progression. The liquid chromatography-tandem mass spectrometry technique using highly-selective multiple reaction monitoring mode and labeled internal standards for each analyzed compound was applied. Performed statistical analyses showed that amino acids are potentially useful as OC biomarkers, especially as variables in multi-marker models. For the distinguishing metabolites the following metabolic pathways involved in cancer growth and development were proposed: histidine metabolism; tryptophan metabolism; arginine biosynthesis; arginine and proline metabolism; and alanine, aspartate and glutamine metabolism. The presented research identifies histidine and citrulline as potential new OC biomarkers. Furthermore, it provides evidence that amino acids are involved in metabolic pathways related to tumor growth and play an important role in cancerogenesis.

摘要

本研究旨在定量分析 42 种无血清氨基酸,提出其在肿瘤发生中的生化作用的解释,并确定新的卵巢癌(OC)生物标志物,以潜在用于 OC 筛查。这项工作的附加价值在于示意性地展示了被确定对 OC 发展和进展具有重要意义的代谢物之间的相互关系。使用高度选择性的多重反应监测模式和针对每个分析化合物的标记内标进行液相色谱-串联质谱技术。进行的统计分析表明,氨基酸作为 OC 生物标志物具有潜在的用途,尤其是作为多标志物模型中的变量。对于区分代谢物,提出了以下涉及癌症生长和发展的代谢途径:组氨酸代谢;色氨酸代谢;精氨酸生物合成;精氨酸和脯氨酸代谢;以及丙氨酸、天冬氨酸和谷氨酸代谢。本研究确定组氨酸和瓜氨酸为潜在的新 OC 生物标志物。此外,它提供了证据表明氨基酸参与与肿瘤生长相关的代谢途径,并在癌症发生中发挥重要作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d2e/5751328/4d2a981491b8/ijms-18-02727-g001.jpg

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