Department of Biomedical Engineering, Kocaeli University Technology Faculty, Kocaeli, Turkey.
Department of Medical Biology, Kocaeli University Medical School, Kocaeli, Turkey
Cancer Genomics Proteomics. 2019 Sep-Oct;16(5):377-397. doi: 10.21873/cgp.20143.
BACKGROUND/AIM: Breast cancer (BC) incidence and mortality rates have been increasing due to the lack of appropriate diagnostic tools for early detection. Proteomics-based studies may provide novel targets for early diagnosis and efficient treatment. The aim of this study was to investigate the global changes occurring in protein profiles in breast cancer tissues to discover potential diagnostic or prognostic biomarkers.
BC tissues and their corresponding healthy counterparts were collected, subtyped, and subjected to comparative proteomics analyses using two-dimensional gel electrophoresis (2-DE) and two-dimensional electrophoresis fluorescence difference gel (DIGE) coupled to matrix-assisted laser desorption/ionisation-time of flight mass spectrometry (MALDI-TOF/TOF) to explore BC metabolism at the proteome level. Western blot analysis was used to verify changes occurring at the protein levels.
Bioinformatics analyses performed with differentially regulated proteins highlighted the changes occurring in triacylglyceride (TAG) metabolism, and directed our attention to TAG metabolism-associated proteins, namely glycerol-3-phosphate dehydrogenase 1 (GPD1) and monoacylglycerol lipase (MAGL). These proteins were down-regulated in tumor groups in comparison to controls.
GPD1 and MAGL might be promising tissue-based protein biomarkers with a predictive potential for BC.
背景/目的:由于缺乏用于早期检测的适当诊断工具,乳腺癌 (BC) 的发病率和死亡率一直在上升。基于蛋白质组学的研究可能为早期诊断和有效治疗提供新的靶点。本研究旨在通过二维凝胶电泳 (2-DE) 和二维电泳荧光差异凝胶 (DIGE) 联合基质辅助激光解吸/电离飞行时间质谱 (MALDI-TOF/TOF) 分析比较乳腺癌组织中的蛋白质谱变化,以发现潜在的诊断或预后生物标志物。
收集乳腺癌组织及其相应的健康对照组织,进行亚型分类,并进行比较蛋白质组学分析。使用二维凝胶电泳 (2-DE) 和二维电泳荧光差异凝胶 (DIGE) 联合基质辅助激光解吸/电离飞行时间质谱 (MALDI-TOF/TOF) 分析比较蛋白质组学分析,以探索乳腺癌在蛋白质组水平上的代谢变化。使用 Western blot 分析验证蛋白质水平的变化。
差异调节蛋白的生物信息学分析突出了甘油三酯 (TAG) 代谢发生的变化,并引起了我们对 TAG 代谢相关蛋白的关注,即甘油-3-磷酸脱氢酶 1 (GPD1) 和单酰基甘油脂肪酶 (MAGL)。与对照组相比,这些蛋白质在肿瘤组中下调。
GPD1 和 MAGL 可能是有前途的基于组织的蛋白质生物标志物,具有预测乳腺癌的潜力。