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使用超高效液相色谱-高分辨率质谱法分析乳腺癌患者血清中的代谢物。

Use of ultra-high performance liquid chromatography-high-resolution mass spectroscopy to profile the metabolites from the serum of patients with breast cancer.

作者信息

Zhang Qinqin, Lu Rongzhao, Wu Ying, Hong Yong, Wang Ningxia, Wang Cunchuan

机构信息

Department of Breast Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong 510630, P.R. China.

Department of Thyroid and Breast Surgery, Nanxishan Hospital of Guangxi Zhuang Autonomous Region, Guilin, Guangxi Zhuang Autonomous Region 541002, P.R. China.

出版信息

Oncol Lett. 2024 Mar 14;27(5):209. doi: 10.3892/ol.2024.14342. eCollection 2024 May.

Abstract

Breast cancer (BC) is the most common type of malignancy and the leading cause of cancer-associated mortality in women worldwide. As such, assessing the metabolic changes during human breast carcinogenesis is key for developing disease prevention methods and treatment. In the present study, non-targeted metabolomics with chemometrics based on ultra-high performance liquid chromatography-high-resolution mass spectrometry were performed to assess differences in serum metabolite patterns between patients with BC and healthy individuals. A total of 3,246 metabolites in the sera of healthy controls and patients with BC were found. Kyoto Encyclopedia of Genes and Genomes pathway analysis demonstrated that arginine, proline, nicotinate, nicotinamide, caffeine and arachidonic acid metabolism, as well as fatty acid biosynthesis were significantly altered in patients with BC in comparison with controls. These results suggested that serum metabolic profiling has potential for discovering molecular biomarkers for the detection of BC. It may also further the understanding of the underlying mechanisms associated with this disease.

摘要

乳腺癌(BC)是最常见的恶性肿瘤类型,也是全球女性癌症相关死亡的主要原因。因此,评估人类乳腺癌发生过程中的代谢变化是开发疾病预防方法和治疗方法的关键。在本研究中,采用基于超高效液相色谱-高分辨率质谱的非靶向代谢组学和化学计量学方法,评估乳腺癌患者与健康个体血清代谢物模式的差异。在健康对照者和乳腺癌患者的血清中共发现了3246种代谢物。京都基因与基因组百科全书通路分析表明,与对照组相比,乳腺癌患者的精氨酸、脯氨酸、烟酸、烟酰胺、咖啡因和花生四烯酸代谢以及脂肪酸生物合成发生了显著改变。这些结果表明,血清代谢谱分析在发现乳腺癌检测的分子生物标志物方面具有潜力。它还可能进一步加深对与该疾病相关的潜在机制的理解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6c7/10973928/d867c4d80233/ol-27-05-14342-g00.jpg

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