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首页> 外文会议>Biomedical vibrational spectroscopy VI: Advances in research and industry >Micro-Raman spectroscopy studies of changes in lipid composition in breast and prostate cancer cells treated with MPA and R1881 hormones
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Micro-Raman spectroscopy studies of changes in lipid composition in breast and prostate cancer cells treated with MPA and R1881 hormones

机译：显微拉曼光谱研究了MPA和R1881激素治疗的乳腺癌和前列腺癌细胞中脂质成分的变化

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Increasing interest in the role of lipids in cancer cell proliferation or resistance to drug therapies has motivated the need to develop better tools for cellular lipid analysis. Quantification of lipids in cells is typically done by destructive chromatography protocols that do not provide spatial information on lipid distribution and prevent dynamic live cell studies. Methods that allow the analysis of lipid content in live cells is therefore of great importance for research. Using Raman micro-spectroscopy we investigated whether the female hormone medroxyprogesterone acetate (MPA) and the synthetic androgen R1881 affect the lipid expression in breast (T47D) and prostate (LNCaP) cancer cells. Differences were noted in the spectral regions at 830-1800 cm~(-1) and 2800-3000 cm~(-1) when comparing different drug treatments. Significant changes were noticed for saturated (1063 - 1125 cm~(-1), 1295 cm~(-1) and 1439 cm~(-1)), unsaturated (1262 cm~(-1) and 1656 cm~(-1), and 1720 - 1748 cm~(-1)) chemical bonds, suggesting that the composition of the lipid droplets was changed by the hormone treatments. Also, significant differences were observed in the high frequency regions of lipids and proteins at 2851 cm~(-1) and around 2890 cm~(-1). Principal component analysis with Linear Discriminant Analysis (PCA-LDA) of the Raman spectra was able to differentiate between cancer cells that were treated with MPA, R1881 or vehicle (P ＜ 0.05). Future work includes analysis to determine exact lipid composition and concentrations as well as development of clinical techniques to characterize differences in patient tumor lipid profiles to determine response to drug treatment and prognosis.
机译：对脂质在癌细胞增殖或对药物疗法的抵抗中的作用的兴趣日益增加，激发了开发用于细胞脂质分析的更好工具的需求。细胞中脂质的定量通常是通过破坏性色谱方案完成的，该方案不提供有关脂质分布的空间信息，并且无法进行动态活细胞研究。因此，允许分析活细胞中脂质含量的方法对研究非常重要。使用拉曼光谱，我们调查了雌性激素甲羟孕酮（MPA）和合成雄激素R1881是否会影响乳腺癌（T47D）和前列腺癌（LNCaP）中的脂质表达。比较不同药物治疗时，在830-1800 cm〜（-1）和2800-3000 cm〜（-1）的光谱区域中发现了差异。饱和（1063-1125 cm〜（-1），1295 cm〜（-1）和1439 cm〜（-1）），非饱和（1262 cm〜（-1）和1656 cm〜（-1）发生了显着变化。 ）和1720-1748 cm〜（-1））的化学键，表明脂质滴的组成因激素处理而改变。此外，在2851 cm〜（-1）和2890 cm〜（-1）附近的脂类和蛋白质的高频区域观察到显着差异。使用拉曼光谱的线性判别分析（PCA-LDA）进行的主成分分析能够区分使用MPA，R1881或溶媒治疗的癌细胞（P ＜0.05）。未来的工作包括分析以确定确切的脂质成分和浓度，以及开发临床技术以表征患者肿瘤脂质谱的差异，以确定对药物治疗和预后的反应。

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