Spatially Resolved Lipidomic Profiling of Ovarian Cancer Using Ultrahigh Resolution Mass Spectrometry Imaging
Ovarian cancer (OC) is one of the deadliest cancers among women as no effective screening tools are available at its early stage. Furthermore, the detailed mechanism of OC progression and metastasis remains unclear. We conducted spatially resolved lipidomic profiling of ovarian cancer using tissues collected from a double-knockout (DKO) and a triple-mutant (TKO) mouse models.1 To directly visualize and investigate lipid distributions and alterations in these models and study possible lipidomic pathways involved in OC progression, we performed matrix-assisted laser desorption/ionization (MALDI) imaging experiments on the DKO and TKO tissue sections in an ultra-high-resolution Fourier-transform ion cyclotron resonance (FT-ICR) mass spectrometer. The FT-ICR mass spectrometer can provide the most accurate mass measurements with the highest mass resolving power. Therefore, we were able to accurately annotate lipid features from the mass spectra for lipidomic pathways analysis. We also compared the lipidomic profiles between DKO and TKO tissues and between tumor and healthy tissues. Multivariate statistical models were established accordingly and used as the basis for OC diagnosis.
- Kim, J.; Coffey, D. M.; Ma, L.; Matzuk, M. M., Endocrinology 2015, 156, 1975-1981.