High-resolution magic angle spinning (HR MAS) MR spectroscopy in metabolic characterization of human cancer

Sitter, Beathe; Bathen, Tone Frost; Tessem, May‐Britt; Gribbestad, Ingrid S.

doi:10.1016/j.pnmrs.2008.10.001

Cited by 85 publications

(101 citation statements)

References 100 publications

(509 reference statements)

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“…For the ERETIC method, RSD was less than 6.7%, whereas RSD was less than 4.4% for the TSP method. 4.16%. They reported accuracies for repeated measurements on the same sample.…”

Section: Results and Discussion Calibrationmentioning

confidence: 99%

“…Concentrations of tissue metabolites ([MET]) were calculated relative to the ERETIC signal using equation [4]:…”

Section: Quantification Of Metabolites In Breast Tissue Samplesmentioning

confidence: 99%

“…Multiple cellular metabolites can be measured simultaneously, and HR MAS spectra of tissue samples consist of numerous peaks that provide a vast amount of information on their biochemical composition (1)(2)(3). Analysis of tissue metabolites provides a picture of both genetic and physiological processes at a given moment in time, and studies of cancers have proven HR MAS MRS as a promising tool in cancer diagnosis and treatment monitoring (4). However, in order to fully understand how tissue metabolites are involved in cancerous processes, tissue metabolites need to be quantified.…”

Section: Introductionmentioning

confidence: 99%

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Quantification of metabolites in breast cancer patients with different clinical prognosis using HR MAS MR spectroscopy

et al. 2010

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Absolute quantitative measures of breast cancer tissue metabolites can increase our understanding of biological processes. Electronic REference To access In vivo Concentrations (ERETIC) was applied to high resolution magic angle spinning MR spectroscopy (HR MAS MRS) to quantify metabolites in intact breast cancer samples. The ERETIC signal was calibrated using solutions of creatine and TSP. The largest relative errors of the ERETIC method were 8.4%, compared to 4.4% for the HR MAS MRS method using TSP as a standard. The same MR experimental procedure was applied to intact tissue samples from breast cancer patients with clinically defined good (n ¼ 13) and poor (n ¼ 16) prognosis. All samples were examined by histopathology for relative content of different tissue types and proliferation index (MIB-1) after MR analysis. The resulting spectra were analyzed by quantification of tissue metabolites (b-glucose, lactate, glycine, myo-inositol, taurine, glycerophosphocholine, phosphocholine, choline and creatine), by peak area ratios and by principal component analysis. We found a trend toward lower concentrations of glycine in patients with good prognosis (1.1 mmol/g) compared to patients with poor prognosis (1.9 mmol/g, p ¼ 0.067). Tissue metabolite concentrations (except for b-glucose) were also found to correlate to the fraction of tumor, connective, fat or glandular tissue by Pearson correlation analysis. Tissue concentrations of b-glucose correlated to proliferation index (MIB-1) with a negative correlation factor (S0.45, p ¼ 0.015), consistent with increased energy demand in proliferating tumor cells. By analyzing several metabolites simultaneously, either in ratios or by metabolic profiles analyzed by PCA, we found that tissue metabolites correlate to patients' prognoses and health status five years after surgery. This study shows that the diagnostic and prognostic potential in MR metabolite analysis of breast cancer tissue is greater when combining multiple metabolites (MR Metabolomics).

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“…For the ERETIC method, RSD was less than 6.7%, whereas RSD was less than 4.4% for the TSP method. 4.16%. They reported accuracies for repeated measurements on the same sample.…”

Section: Results and Discussion Calibrationmentioning

confidence: 99%

“…Concentrations of tissue metabolites ([MET]) were calculated relative to the ERETIC signal using equation [4]:…”

Section: Quantification Of Metabolites In Breast Tissue Samplesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Quantification of metabolites in breast cancer patients with different clinical prognosis using HR MAS MR spectroscopy

et al. 2010

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“…As has been widely suggested (Sitter et al 2009, Beckonert et al 2010, a combination of principal component analysis (PCA) and partial least-squares discriminant analysis (PLS-DA) was employed.…”

Section: Discussionmentioning

confidence: 99%

Metabolomic profile of the adrenal gland: from physiology to pathological conditions

Impériale¹,

Elbayed²,

Moussallieh³

et al. 2013

Endocrine-Related Cancer

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In this study, we i) assessed the metabolic profile of the normal adrenal cortex and medulla of adult human subjects by means of 1 H-high-resolution magic-angle spinning nuclear magnetic resonance (HRMAS NMR) spectroscopy; ii) compared the biochemical profile of adenoma (Ad), adrenal cortical carcinoma (ACC), and pheochromocytoma (PCC) samples with that of healthy adrenal tissue samples; and iii) investigated the metabolic differences between ACCs and Ads as well as between ACCs and PCCs. Sixty-six tissue samples (13 adrenal cortical tissue, eight medullary tissue, 13 Ad, 12 ACC, and 20 PCC samples) were analyzed. Adrenaline and noradrenaline were undetectable in cortical samples representing the metabolic signature of the tissue derived from neural crest. Similarity between the metabolic profile of Ads and that of the normal adrenal cortex was shown. Inversely, ACC samples clearly made up a detached group exhibiting the typical stigmata of neoplastic tissue such as choline-containing compounds, biochemical markers of anaerobic processes, and increased glycolysis. Significantly higher levels of lactate, acetate, and total choline-containing compounds played a major role in the differentiation of ACCs from Ads. Moreover, the high fatty acid content of ACCs contributed to the cluster identification of ACCs. Of the 14 sporadic PCC samples, 12 exhibited predominant or exclusive noradrenaline secretion. The noradrenaline: adrenaline ratio was inverted in the normal medullary tissue samples. Multiple endocrine neoplasia type 2-and NF1-related PCC samples exhibited both adrenaline and noradrenaline secretion. In the von Hippel-Lindau disease-related PCC samples, only noradrenaline secretion was detected by HRMAS NMR spectroscopy. This study is one of the first applications of metabolomics to adrenal pathophysiology and it is the largest study to report HRMAS NMR data related to the adrenal cortex and adrenal cortical tumors.

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“…13 In addition, many different anticancer drugs have been investigated through NMR analysis of other types of cultured cells, mostly in the form of cell suspensions [14][15][16][17] or extracts. [18][19][20][21][22] High resolution magic angle spinning (HRMAS) NMR spectroscopy, which is well established in tissue analysis, 23,24 has been shown to enable well-resolved spectra to be obtained for intact or lysed cells 25 and to provide valuable information on both lipid and small metabolite changes upon treatment with anticancer drugs of endometrial, 26 melanoma, 27 colon carcinoma, 28 hepatocarcinoma and osteosarcoma 13 cells. In the present study, 1 H HRMAS NMR spectroscopy was used to assess the changes in the intracellular metabolic profile of MG-63 human OS cells induced by the chemotherapy agent cisplatin (cis-diamminedichloroplatinum(II) or CDDP) at different times of exposure.…”

Section: Introductionmentioning

confidence: 99%

Nuclear Magnetic Resonance (NMR) Study of the Effect of Cisplatin on the Metabolic Profile of MG-63 Osteosarcoma Cells

et al. 2010

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In the present study, 1 H HRMAS NMR spectroscopy was used to assess the changes in the intracellular metabolic profile of MG-63 human osteosarcoma (OS) cells induced by the chemotherapy agent cisplatin (CDDP) at different times of exposure. Multivariate analysis was applied to the cells spectra, enabling consistent variation patterns to be detected and drug-specific metabolic effects to be identified. Statistical recoupling of variables (SRV) analysis and spectral integration enabled the most relevant spectral changes to be evaluated, revealing significant time-dependent alterations in lipids, choline-containing compounds, some amino acids, polyalcohols, and nitrogenated bases. The metabolic relevance of these compounds in the response of MG-63 cells to CDDP treatment is discussed.

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High-resolution magic angle spinning (HR MAS) MR spectroscopy in metabolic characterization of human cancer

Cited by 85 publications

References 100 publications

Quantification of metabolites in breast cancer patients with different clinical prognosis using HR MAS MR spectroscopy

Quantification of metabolites in breast cancer patients with different clinical prognosis using HR MAS MR spectroscopy

Metabolomic profile of the adrenal gland: from physiology to pathological conditions

Nuclear Magnetic Resonance (NMR) Study of the Effect of Cisplatin on the Metabolic Profile of MG-63 Osteosarcoma Cells

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