Abstract
Breast cancer (BC) is the most prevalent type of cancer in women in western countries. BC mortality has not declined despite early detection by screening, indicating the need for better informed treatment decisions. Therefore, a novel noninvasive diagnostic tool for BC would give the opportunity of subtype-specific treatment and improved prospects for the patients. Heterogeneity of BC tumor subtypes is reflected in the expression levels of enzymes in lipid metabolism. The aim of the study was to investigate whether the subtype defined by the transcriptome is reflected in the lipidome of BC cell lines. A liquid chromatography mass spectrometry (LC-MS) platform was applied to analyze the lipidome of six cell lines derived from human BC cell lines representing different BC subtypes. We identified an increased abundance of triacylglycerols (TG) ≥ C-48 with moderate or multiple unsaturation in fatty acyl chains and down-regulated ether-phosphatidylethanolamines (PE) (C-34 to C-38) in cell lines representing estrogen receptor and progesterone receptor positive tumor subtypes. In a cell line representing HER2-overexpressing tumor subtype an elevated expression of TG (≤ C-46), phosphatidylcholines (PC) and PE containing short-chained (≤ C-16) saturated or monounsaturated fatty acids were observed. Increased abundance of PC ≥ C-40 was found in cell lines of triple negative BC subtype. In addition, differences were detected in lipidomes within these previously defined subtypes. We conclude that subtypes defined by the transcriptome are indeed reflected in differences in the lipidome and, furthermore, potentially biologically relevant differences may exist within these defined subtypes.
Highlights
Breast cancer (BC) is mainly diagnosed using routine mammography and self-examination
In order to evaluate the lipidome of BC cell lines, a fit-for-purpose analytical method is needed for detection and identification of lipids
Principal component analysis (PCA) modelling of 439 ion features detected in Progenesis QI shows that each cell line clustered separate from other cell lines including the reference cell line MCF10A (Fig 2)
Summary
Breast cancer (BC) is mainly diagnosed using routine mammography and self-examination. Recent large scale retrospective studies of Norwegian, European and North American women indicated that these routine examinations had little or no impact on BC mortality [1, 2]. The treatment and subsequent outcome for the patient is dependent on the underlying BC subtype. There is a need for novel noninvasive tools for identification of BC subtype at an early stage to enable informed treatment decisions.
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