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基于 LC-HRMS 的方法鉴定乳腺癌患者新型神经酰胺生物标志物。

LC-HRMS based approach to identify novel sphingolipid biomarkers in breast cancer patients.

机构信息

Department of Biochemistry, Panjab University, Chandigarh, India.

Department of General Surgery, PGIMER, Chandigarh, India.

出版信息

Sci Rep. 2020 Mar 13;10(1):4668. doi: 10.1038/s41598-020-61283-w.

Abstract

Perturbations in lipid metabolic pathways to meet the bioenergetic and biosynthetic requirements is a principal characteristic of cancer cells. Sphingolipids (SPLs) are the largest class of bioactive lipids associated to various aspects of tumorigenesis and have been extensively studied in cancer cell lines and experimental models. The clinical relevance of SPLs in human malignancies however is still poorly understood and needs further investigation. In the present study, we adopted a UHPLC-High resolution (orbitrap) Mass spectrometry (HRMS) approach to identify various sphingolipid species in breast cancer patients. A total of 49 SPLs falling into 6 subcategories have been identified. Further, integrating the multivariate analysis with metabolomics enabled us to identify an elevation in the levels of ceramide phosphates and sphingosine phosphates in tumor tissues as compared to adjacent normal tissues. The expression of genes involved in the synthesis of reported metabolites was also determined in local as well as TCGA cohort. A significant upregulation in the expression of CERK and SPHK1 was observed in tumor tissues in local and TCGA cohort. Sphingomyelin levels were found to be high in adjacent normal tissues. Consistent with the above findings, expression of SGMS1 in tumor tissues was downregulated in TCGA cohort only. Clinical correlations of the selected metabolites and their performance as biomarkers was also evaluated. Significant ROC and positive correlation with Ki67 index highlight the diagnostic potential and clinical relevance of ceramide phosphates in breast cancer.

摘要

脂质代谢途径的改变以满足生物能量和生物合成的需求是癌细胞的主要特征。神经鞘脂类(SPLs)是与肿瘤发生的各个方面相关的最大一类生物活性脂质,已在癌细胞系和实验模型中进行了广泛研究。然而,SPLs 在人类恶性肿瘤中的临床相关性仍知之甚少,需要进一步研究。在本研究中,我们采用 UHPLC-高分辨率(轨道阱)质谱(HRMS)方法来鉴定乳腺癌患者中的各种鞘脂种类。共鉴定出 49 种属于 6 个亚类的 SPL。此外,通过将多变量分析与代谢组学相结合,我们能够鉴定出肿瘤组织中神经酰胺磷酸酯和鞘氨醇磷酸酯的水平与相邻正常组织相比升高。还在局部和 TCGA 队列中确定了参与报告代谢物合成的基因的表达。在局部和 TCGA 队列中,肿瘤组织中 CERK 和 SPHK1 的表达显著上调。在相邻正常组织中发现神经鞘磷脂水平较高。与上述发现一致,仅在 TCGA 队列中观察到肿瘤组织中 SGMS1 的表达下调。还评估了选定代谢物的临床相关性及其作为生物标志物的性能。ROC 曲线显著,与 Ki67 指数呈正相关,突出了神经酰胺磷酸酯在乳腺癌中的诊断潜力和临床相关性。

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