Lipid biosignature of breast cancer tissues by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry

Springer Science and Business Media LLC - Tập 182 - Trang 9-19 - 2020
Catarina L. Silva1, Rosa Perestrelo1, Ivo Sousa-Ferreira2, Filipa Capelinha3, José S. Câmara1,4, Marijana Petković1
1CQM - Centro de Química da Madeira, Universidade da Madeira, Funchal, Portugal
2Centro de Estatística e Aplicações, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
3Serviço de Anatomia Patológica, SESARAM, EPE. Hospital Dr. Nélio Mendonça, Funchal, Portugal
4Faculdade de Ciências Exactas e Engenharia da, Universidade da Madeira, Funchal, Portugal

Tóm tắt

One of the hallmarks of cancer cells is the demand of supply for the synthesis of new membranes involved in cell proliferation and lipids have an important role in cellular structure, signaling pathways and progression of cancer. In this sense, lipid studies have become an essential tool allowing the establishment of signatures associated with breast cancer (BC). In this regard, some metabolic processes including proteins, nucleic acids and lipid synthesis are enhanced as part of cancer-associated metabolic reprogramming, as a requirement for cell growth and proliferation. Pairwise samples of breast active carcinoma (BAC) and breast cancer-free tissues were collected from n = 28 patients and analyzed by MALDI-TOF MS. Major lipid species are identified in the MALDI-TOF mass spectra, with certain phosphatidylinositols (PIs) detectable only in BAC. Statistical analysis revealed significant differences (p < 0.05) between ratios lysophosphatidylcholine (LPC) 16:0/phosphatidylcholine (PC) 16:0_18:2 between AC and CF groups as well as for BC stages II and III. The ratio PC 16:0_18:2/PC16:0_18:1 was statistically different between AC and CF groups. The one-way ANOVA revealed that there are no statistical differences among BC stages (I, II and III) within AC group. Comparing BC stages, the significance impact increased (p < 0.05) with stage. The obtained data revealed MALDI-TOF MS as a powerful tool to explore lipid signatures and the enzyme activity associated with BC and possibly establish novel disease markers.

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