Rita Araújo, Victoria Fabris, Caroline A Lamb, Andrés Elía, Claudia Lanari, Luisa A Helguero, Ana M Gil
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引用次数: 0
摘要
研究了小鼠共生模型中雌激素和孕激素受体阳性乳腺癌肿瘤的脂质代谢适应性与肿瘤生长从激素依赖型(HD)向激素不依赖型(HI)过渡和获得内分泌治疗(ET)耐药性(HIR肿瘤)之间的差异。研究结果与已报道的极性代谢组结果相衔接,以完成上述转变的代谢图谱,并提出肿瘤进展和侵袭性的标记物。非靶向核磁共振代谢组学用于分析肿瘤和乳腺组织脂质提取物。伴随肿瘤进展(HD-HI-HIR)的是非酯化胆固醇形式和磷脂(磷脂酰胆碱、磷脂酰乙醇胺、鞘磷脂和质粒)的增加以及甘油三酯和脂肪酸相对含量的减少。主要脂肪酸平均变得更短、更饱和。这些结果与为维持肿瘤生长而逐渐加强的胆固醇合成、β-氧化和磷脂生物合成,以及胆固醇(可能是氧甾醇)形式的增加相一致。特定化合物水平和比率被确定为潜在的内分泌肿瘤 HD-HI-HIR 进展标志物,支持解释获得性 ET 抗性的新假设。
Tumor Lipid Signatures Are Descriptive of Acquisition of Therapy Resistance in an Endocrine-Related Breast Cancer Mouse Model.
The lipid metabolism adaptations of estrogen and progesterone receptor-positive breast cancer tumors from a mouse syngeneic model are investigated in relation to differences across the transition from hormone-dependent (HD) to hormone-independent (HI) tumor growth and the acquisition of endocrine therapy (ET) resistance (HIR tumors). Results are articulated with reported polar metabolome results to complete a metabolic picture of the above transitions and suggest markers of tumor progression and aggressiveness. Untargeted nuclear magnetic resonance metabolomics was used to analyze tumor and mammary tissue lipid extracts. Tumor progression (HD-HI-HIR) was accompanied by increased nonesterified cholesterol forms and phospholipids (phosphatidylcholine, phosphatidylethanolamine, sphingomyelins, and plasmalogens) and decreased relative contents of triglycerides and fatty acids. Predominating fatty acids became shorter and more saturated on average. These results were consistent with gradually more activated cholesterol synthesis, β-oxidation, and phospholipid biosynthesis to sustain tumor growth, as well as an increase in cholesterol (possibly oxysterol) forms. Particular compound levels and ratios were identified as potential endocrine tumor HD-HI-HIR progression markers, supporting new hypotheses to explain acquired ET resistance.
期刊介绍:
Journal of Proteome Research publishes content encompassing all aspects of global protein analysis and function, including the dynamic aspects of genomics, spatio-temporal proteomics, metabonomics and metabolomics, clinical and agricultural proteomics, as well as advances in methodology including bioinformatics. The theme and emphasis is on a multidisciplinary approach to the life sciences through the synergy between the different types of "omics".