High‐resolution magic angle spinning proton NMR analysis of human prostate tissue with slow spinning rates

Taylor, Jennifer L.; Wu, Chin‐Lee; Cory, David G.; González, Ramón; Bielecki, Anthony; Cheng, Leo L.

doi:10.1002/mrm.10562

Cited by 85 publications

(114 citation statements)

References 15 publications

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“…3) and proton-carbon (HSQC, Fig. 4a, b) correlated HRMAS spectroscopy, and published data (16,20,21). The 28 assigned metabolites are presented in Table 1.…”

Section: Resultsmentioning

confidence: 97%

Metabolic profile of intact tissue from uterine leiomyomas using high‐resolution magic‐angle‐spinning ¹H NMR spectroscopy

Mazzei

Piccolo²,

Nugnes

et al. 2010

NMR in Biomedicine

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High-resolution magic-angle-spinning (HRMAS) one- and two-dimensional (1)H and (13)C NMR spectroscopy was used to study intact healthy (myometrium) and benign (leiomyoma) uterine tissues of 10 patients. Twenty-eight metabolites were detected and assigned in both types of tissue. Principal component analysis (PCA) was applied to a conventional water-suppressed (1)H HRMAS NMR spectrum, and two NMR spectral editing methods, namely Carr-Purcell- Meiboom-Gill (CPMG) spin-echo and diffusion-edited techniques, were used. Only the PCA of CPMG spectra resulted in a good differentiation between the two tissue types. The CPMG spin-echo spectra were also useful in indicating depleted levels of taurine in uterine leiomyomas, which were well correlated with the histopathological determination. In addition, statistical analysis revealed that most leiomyomas contained elevated concentrations of glutamate and glutamine. Our results suggest that HRMAS represents a valuable adjunct to histopathology to improve the diagnostic accuracy of uterine leiomyomas, whilst concomitantly reducing the diagnosis time.

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“…3) and proton-carbon (HSQC, Fig. 4a, b) correlated HRMAS spectroscopy, and published data (16,20,21). The 28 assigned metabolites are presented in Table 1.…”

Section: Resultsmentioning

confidence: 97%

Metabolic profile of intact tissue from uterine leiomyomas using high‐resolution magic‐angle‐spinning ¹H NMR spectroscopy

Mazzei

Piccolo²,

Nugnes

et al. 2010

NMR in Biomedicine

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“…The specimens can be evaluated by microscopy after spectral analysis, making direct comparisons with morphological characteristics feasible. The HR MAS technique has been applied in studies of various human tissues and diseases, such as cancer in the brain (8,9), prostate (10,11) and breast (12,13).…”

Section: Introductionmentioning

confidence: 99%

Comparison of HR MAS MR spectroscopic profiles of breast cancer tissue with clinical parameters

et al. 2006

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Breast cancer is the most frequent form of cancer in women and improved diagnostic methods are desirable. Malignant cells have altered metabolism and metabolic mapping might become a tool in cancer diagnostics. High-resolution magic angle spinning (HR MAS) MR spectroscopy of tissue biopsies provides detailed information on metabolic composition. The 600 MHz 1H HR MAS spectra were acquired of breast cancer tissue from 85 patients and adjacent non-involved tissue from 18 of these patients. Tissue specimens were investigated by microscopy after MR analysis. The resulting spectra were examined by three different approaches. Relative intensities of glycerophosphocholine (GPC), phosphocholine (PC) and choline were compared for cancerous and non-involved specimens. Eight metabolites, choline, creatine, beta-glucose, GPC, glycine, myo-inositol, PC and taurine, were quantified from the recorded spectra and compared with tumor histological type and size, patient's lymph node status and tissue composition of sample. The spectra were also compared with tumor histological type and size, lymph node status and tissue composition of samples using principal component analysis (PCA). Tumor samples could be distinguished from non-involved samples (82% sensitivity, 100% specificity) based on relative intensities of signals from GPC, PC and choline in 1H HR MAS spectra. Tissue concentrations of metabolites showed few differences between groups of samples, which can be caused by limitations in the quantification procedure. Choline and glycine concentrations were found to be significantly higher in tumors larger than 2 cm compared with smaller tumors. PCA of MAS spectra from patients with invasive ductal carcinomas indicated a possible prediction of spread to axillary lymph nodes. Metabolite estimates and PCA of MAS spectra were influenced by the percentage of tumor cells in the investigated specimens.

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“…Various methods have been used to quantify metabolites. A reference has been added to the sample or buffer (8), metabolites have been quantified using tissue water as an internal standard (1), and a silicon rubber has been added as an external standard (9,10). In addition, a relative measure of concentrations has been calculated using the spectral noise as an internal reference (11).…”

Section: Introductionmentioning

confidence: 99%

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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High‐resolution magic angle spinning proton NMR analysis of human prostate tissue with slow spinning rates

Cited by 85 publications

References 15 publications

Metabolic profile of intact tissue from uterine leiomyomas using high‐resolution magic‐angle‐spinning ¹H NMR spectroscopy

Metabolic profile of intact tissue from uterine leiomyomas using high‐resolution magic‐angle‐spinning ¹H NMR spectroscopy

Comparison of HR MAS MR spectroscopic profiles of breast cancer tissue with clinical parameters

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

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High‐resolution magic angle spinning proton NMR analysis of human prostate tissue with slow spinning rates

Cited by 85 publications

References 15 publications

Metabolic profile of intact tissue from uterine leiomyomas using high‐resolution magic‐angle‐spinning 1H NMR spectroscopy

Metabolic profile of intact tissue from uterine leiomyomas using high‐resolution magic‐angle‐spinning 1H NMR spectroscopy

Comparison of HR MAS MR spectroscopic profiles of breast cancer tissue with clinical parameters

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

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Metabolic profile of intact tissue from uterine leiomyomas using high‐resolution magic‐angle‐spinning ¹H NMR spectroscopy

Metabolic profile of intact tissue from uterine leiomyomas using high‐resolution magic‐angle‐spinning ¹H NMR spectroscopy