= Discovery stage. (17.55%, 2019 US)
= Translation stage. (42.72%, 2019 US)
= Clinically available. (39.74%, 2019 US)
MSACL 2019 US : Dorado

MSACL 2019 US Abstract

Self-Classified Topic Area(s): Lipidomics

Lipidomic Profiling of Extracellular Vesicles Released by Breast Cancer Cells and its Potential for the Identification of Biomarkers for Breast Cancer Diagnosis.

Erika J Dorado (1), M Luisa Doria (1), Anika Nagelkerke (2), Thomas Whittaker (2), Alvaro Perdones-Montero (1), Stefania Maneta-Stavrakaki (1), James S McKenzie (1), Ulrike Kauscher (2), Charles Coombes (1), Jeremy Nicholson (1), Molly M Stevens (2), Zoltan Takats (1)
(1) Faculty of Medicine, Department of Surgery and Cancer, Imperial College London, London, United Kingdom (2) Faculty of Engineering, Department of Materials, Imperial College London, London, United Kingdom


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 Erika Dorado (Presenter)
Imperial College London

Presenter Bio: I am a PhD student at Imperial College London. My research is focused on the study of extracellular vesicles and the identification of biomarkers for cancer diagnosis. I am part of both Professor Zoltan Takat's group and the STRATiGRAD PhD programme which is an innovative programme focused on the development of new technology in stratified and translational medicine. I am interested in understanding the lipid composition of extracellular vesicles and their interactions during the cancer patient journey, through the application of mass spectrometry based approaches.

Relevant Financial Disclosures (within past 24 months)
No relevant financial relationship(s) to disclose.

Abstract

Cancer-derived extracellular vesicles (EV) are found in cancer patients’ body fluids and play important roles in cancer development and progression. Although cancer-derived EV have a promising potential as liquid biopsies, molecular composition of these vesicles is far from being completely understood. Therefore, in this study the lipid composition of different breast cancer cell lines, together with their secreted EV, were studied by using an untargeted lipidomic approach. Sphingomyelins, ceramides and lysophosphatidylethanolamines were enriched in EV when compared to their parental cells. Statistical analyses showed a clear separation between EV released by cancerous and non-cancerous cells based on their lipid composition. This study demonstrates the potential of the lipid content of cancer-derived EV for the identification of biomarkers for breast cancer detection.