Impact of intratumoral heterogeneity of breast cancer tissue on quantitative metabolomics using high-resolution magic angle spinning1H NMR spectroscopy

2017 ◽  
Vol 31 (2) ◽  
pp. e3862 ◽  
Author(s):  
Mikheil Gogiashvili ◽  
Salome Horsch ◽  
Rosemarie Marchan ◽  
Kathrin Gianmoena ◽  
Cristina Cadenas ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Nmr Spectroscopy ◽  
High Resolution ◽  
Breast Cancer Tissue ◽  
Intratumoral Heterogeneity ◽  
Cancer Tissue ◽  
Magic Angle ◽  
Quantitative Metabolomics

High-resolution magic angle spinning MRS of breast cancer tissue

2002 ◽  
Vol 15 (5) ◽  
pp. 327-337 ◽  
Author(s):  
Beathe Sitter ◽  
Ursula Sonnewald ◽  
Manfred Spraul ◽  
Hans E. Fjösne ◽  
Ingrid S. Gribbestad
Keyword(s):  
Breast Cancer ◽  
High Resolution ◽  
Magic Angle Spinning ◽  
Breast Cancer Tissue ◽  
Cancer Tissue ◽  
Magic Angle ◽  
Angle Spinning

scholarly journals HR-MAS NMR Based Quantitative Metabolomics in Breast Cancer

Metabolites ◽  
2019 ◽  
Vol 9 (2) ◽  
pp. 19 ◽  
Author(s):  
Mikheil Gogiashvili ◽  
Jessica Nowacki ◽  
Roland Hergenröder ◽  
Jan G. Hengstler ◽  
Jörg Lambert ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Pulse Sequences ◽  
Quantitative Information ◽  
Magic Angle Spinning ◽  
Cancer Tissue ◽  
Magic Angle ◽  
Quantitative Metabolomics ◽  
Minimal Sample ◽  
Angle Spinning ◽  
Non Destructive

High resolution magic-angle spinning (HR-MAS) nuclear magnetic resonance (NMR) spectroscopy is increasingly used for profiling of breast cancer tissue, delivering quantitative information for approximately 40 metabolites. One unique advantage of the method is that it can be used to analyse intact tissue, thereby requiring only minimal sample preparation. Importantly, since the method is non-destructive, it allows further investigations of the same specimen using for instance transcriptomics. Here, we discuss technical aspects critical for a successful analysis — including sample handling, measurement conditions, pulse sequences for one- and two dimensional analysis, and quantification methods - and summarize available studies, with a focus on significant associations of metabolite levels with clinically relevant parameters.

Visualizing metabolic changes in breast-cancer tissue using1H-NMR spectroscopy and self-organizing maps

2003 ◽  
Vol 16 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Olaf Beckonert ◽  
J�rgen Monnerjahn ◽  
Ulrich Bonk ◽  
Dieter Leibfritz
Keyword(s):  
Breast Cancer ◽  
Nmr Spectroscopy ◽  
Breast Cancer Tissue ◽  
Metabolic Changes ◽  
Cancer Tissue ◽  
Self Organizing Maps ◽  
Self Organizing

scholarly journals Successive High-Resolution (H2O)n-GCIB and C60-SIMS Imaging Integrates Multi-Omics in Different Cell Types in Breast Cancer Tissue

2021 ◽  
Author(s):  
Hua Tian ◽  
Louis J. Sparvero ◽  
Tamil Selvan Anthonymuthu ◽  
Wan-Yang Sun ◽  
Andrew A. Amoscato ◽  
...  
Keyword(s):  
Breast Cancer ◽  
High Resolution ◽  
Cell Types ◽  
Breast Cancer Tissue ◽  
Cancer Tissue ◽  
Different Cell Types

scholarly journals Indication of high lipid content in epithelial-mesenchymal transitions of breast tissues

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Siti Norbaini Sabtu ◽  
S. F. Abdul Sani ◽  
L. M. Looi ◽  
S. F. Chiew ◽  
Dharini Pathmanathan ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Raman Spectroscopy ◽  
Multivariate Analysis ◽  
Nucleic Acids ◽  
Raman Spectra ◽  
Cancer Progression ◽  
Component Analysis ◽  
Breast Cancer Tissue ◽  
Metabolic Changes ◽  
Cancer Tissue

AbstractThe epithelial-mesenchymal transition (EMT) is a crucial process in cancer progression and metastasis. Study of metabolic changes during the EMT process is important in seeking to understand the biochemical changes associated with cancer progression, not least in scoping for therapeutic strategies aimed at targeting EMT. Due to the potential for high sensitivity and specificity, Raman spectroscopy was used here to study the metabolic changes associated with EMT in human breast cancer tissue. For Raman spectroscopy measurements, tissue from 23 patients were collected, comprising non-lesional, EMT and non-EMT formalin-fixed and paraffin embedded breast cancer samples. Analysis was made in the fingerprint Raman spectra region (600–1800 cm−1) best associated with cancer progression biochemical changes in lipid, protein and nucleic acids. The ANOVA test followed by the Tukey’s multiple comparisons test were conducted to see if there existed differences between non-lesional, EMT and non-EMT breast tissue for Raman spectroscopy measurements. Results revealed that significant differences were evident in terms of intensity between the non-lesional and EMT samples, as well as the EMT and non-EMT samples. Multivariate analysis involving independent component analysis, Principal component analysis and non-negative least square were used to analyse the Raman spectra data. The results show significant differences between EMT and non-EMT cancers in lipid, protein, and nucleic acids. This study demonstrated the capability of Raman spectroscopy supported by multivariate analysis in analysing metabolic changes in EMT breast cancer tissue.

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