Literature DB >> 35567635

Metabolomic analysis of endometrial cancer by high-resolution magic angle spinning NMR spectroscopy.

Senem Arda Düz1,2, Akın Mumcu1,3, Berat Doğan1,4, Ercan Yılmaz2, Ebru İnci Çoşkun2, Erdinç Sarıdogan1,2, Görkem Tuncay1,2, Abdullah Karaer5,6.   

Abstract

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. 1H 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.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  1H-NMR; Endometrial cancer; Endometrial tissue; Metabolomics

Year:  2022        PMID: 35567635     DOI: 10.1007/s00404-022-06587-0

Source DB:  PubMed          Journal:  Arch Gynecol Obstet        ISSN: 0932-0067            Impact factor:   2.344


  44 in total

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8.  A review of applications of metabolomics in cancer.

Authors:  Richard D Beger
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9.  Identification of potential biomarkers and metabolic pathways based on integration of metabolomic and transcriptomic data in the development of breast cancer.

Authors:  Yifei Yang; Yunhua Zhu; Xiaoyan Li; Xiuxia Zhang; Bin Yu
Journal:  Arch Gynecol Obstet       Date:  2021-03-31       Impact factor: 2.344

10.  Estimating the global cancer incidence and mortality in 2018: GLOBOCAN sources and methods.

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Journal:  Int J Cancer       Date:  2018-12-06       Impact factor: 7.396

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