高分辨魔角旋转 NMR 光谱法分析子宫内膜癌的代谢组学。
Metabolomic analysis of endometrial cancer by high-resolution magic angle spinning NMR spectroscopy.
机构信息
Reproductive Sciences & Advanced Bioinformatics Application & Research Center, Inonu University, Malatya, Turkey.
Department of Obstetrics and Gynecology, School of Medicine, Inonu University, 44315, Malatya, Turkey.
出版信息
Arch Gynecol Obstet. 2022 Dec;306(6):2155-2166. doi: 10.1007/s00404-022-06587-0. Epub 2022 May 14.
PURPOSE
To analyze endometrial metabolite profiles between patients with endometrial cancer and controls.
METHODS
Seventeen (17) women with endometrium cancer and 18 controls were enrolled in this study. H HR-MAS (High Resolution-Magic Angle Spinning) NMR (Nuclear Magnetic Resonance) spectroscopy data obtained from endometrial tissue samples of patients with endometrial cancer and control group were analyzed with bioinformatics methods.
RESULTS
Principal component analysis (PCA) and the partial least squares discriminant analysis (PLS-DA) score plots obtained with the multivariate statistical analysis of pre-processed spectral data shows a separation between the samples from patients with endometrial cancer and controls. Analysis results suggest that the levels of lactate, glucose, o-phosphoethanolamine, choline, glycerophosphocholine, phosphocholine, leucine, isoleucine, valine, glutamate, glutamine, n-acetyltyrosine, methionine, taurine, alanine, aspartate and phenylalanine are increased in patients with endometrial cancer compared to the controls.
CONCLUSION
The metabolomics signature of patients with endometrial cancer is different from that of benign endometrial tissue.
目的
分析子宫内膜癌患者与对照组之间的子宫内膜代谢物谱。
方法
本研究纳入了 17 名子宫内膜癌患者和 18 名对照组女性。对子宫内膜癌患者和对照组子宫内膜组织样本的高分辨率-魔角旋转（HR-MAS）NMR 波谱数据进行生物信息学分析。
结果
通过对预处理光谱数据的多变量统计分析得到的主成分分析（PCA）和偏最小二乘判别分析（PLS-DA）得分图显示，子宫内膜癌患者和对照组之间存在样本分离。分析结果表明，与对照组相比，子宫内膜癌患者的乳酸盐、葡萄糖、o-磷酸乙醇胺、胆碱、甘油磷酸胆碱、磷酸胆碱、亮氨酸、异亮氨酸、缬氨酸、谷氨酸、谷氨酰胺、N-乙酰酪氨酸、蛋氨酸、牛磺酸、丙氨酸、天冬氨酸和苯丙氨酸水平升高。
结论
子宫内膜癌患者的代谢组学特征与良性子宫内膜组织不同。
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