Identification of Lipid Droplet-Associated Genes in Breast Cancer Patients

Abstract

Lipid droplets (LDs) are known to be involved in the invasion and migration of breast cancer (BC) cells. This study aimed to identify LD-associated genes as prognostic markers in BC through comprehensive literature research and integration with lipid composition studies in BC cell lines. The GEPIA platform was used to analyze the differential expression of LD-associated genes in BC. The lipid composition of cell lines (MCF-10A, MDA-MB 436 and 231) was obtained by extraction and thin-layer chromatography coupled with mass spectrometry (MS). Additionally, cell lines were co-cultured with fatty tissue and analyzed by confocal fluorescence microscopy. A total of 143 genes were identified as LD-associated genes through literature research and were subsequently analyzed using GEPIA. Among these, three genes were found to be over-expressed and 45 under-expressed in BC. Notably, FABP7 showed a statistically significant rank for all bioinformatics criteria as a prognostic factor. Experimental results showed only minor changes from MCF-10A to both MDA-MB cell lines for apolar lipids (triacylglycerols and cholesteryl esters) compared to phospholipids (PLs). Microscopic analyses showed that MDA-MB-231 had larger LDs compared to MCF-10A after 10 days of cultivation. Our bioinformatics analysis identified 26 genes that play important roles in metastatic transition in BC via LD-related mechanisms, though these findings could be only partially confirmed by experimental lipid compositional analyses, so far.