Lipid mapping by desorption electrospray ionization mass spectrometry in a murine breast DMBA carcinogenesis model

Evaluating the therapeutic potential of white button mushroom (Agaricus bisporus) against DMBA‐induced breast cancer in Sprague Dawley rats

“…Lipids not only help in the formation of cellular structures but also participate in metabolic pathways involved in cell growth and proliferation (Nandhakumar et al., 2014). In tumors, many lipids as secondary messengers contribute to the pathophysiology of the disease, thereby making lipids molecules of diagnostic research and therapeutic target (Rennó et al., 2017). During cancer progression, the alterations in liver metabolism and lipoprotein‐mediated transportation change plasma lipids level.…”

Metabolomic studies of breast cancer in murine models: A review

“…Lipid metabolism is known to play an important role in cancer development and several studies have been carried out in the context of this disease [71]. To investigate the fundamental role of lipids on the development of DMBA-induced BC tumors, mass spectrometry imaging (MSI) was employed to compare mammary samples with and without tumors [72]. Desorption electrospray ionization (DESI)-MS, associated with spatial distribution information obtained through MSI, was used to characterize lipidomic composition directly from the tissue sample.…”

Analytical Challenges and Recent Advances in Mass Spectrometry Based Lipidomics

“…Although accurate quantification remains challenging due to difficulties in appropriately introducing internal standards into the tissue matrix, a comparison of DESI-MS and LC–MS for lipidomic profiling of human esophageal adenocarcinoma tissue samples has shown a correlation coefficient of 0.70 ( P < 0.001) for the relative abundances of GP lipid species when normalized against a common peak, indicating that the technique can provide comparable results for studies only requiring relative quantification . The applications of DESI, typically combined with multivariate statistical analysis methods, have been heavily focused on biomarker discovery for in vivo diagnosis of diseases, especially in cancers including human breast, prostate, lung, , brain, , ovarian, thyroid, and esophageal, as well as in nonhuman cancers such as canine non-Hodgkin’s lymphoma, and cell culture model systems (e.g., to monitor lipidome profile alteration in breast and retinoblastoma cancer cell lines during oncogene PLK1 knockdown) . Importantly, cancer tissue discrimination using lipid profiles acquired by DESI-MSI can be achieved with accuracy rates (>95%) that are comparable to those from conventional immunohistochemistry methods.…”