ArticleVirchows Archiv : an international journal of pathology2010
Can nuclear magnetic resonance (NMR) spectroscopy reveal different metabolic signatures for lung tumours?
Article in Virchows Archiv : an international journal of pathology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 43 citations in OpenAlex.
- Exhaled breath analysis with a colorimetric sensor array for the identification and characterization of lung cancer.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2012Trial
- Deacetylation of GLUD1 maintains the survival of lung adenocarcinoma cells under glucose starvation by inhibiting autophagic cell death.Cell insight · 2024Article
- Serine synthesis and catabolism in starved lung cancer and primary bronchial epithelial cells.Cancer & metabolism · 2024Article
- Urinary Mass Spectrometry Profiles in Age-Related Macular Degeneration.Journal of clinical medicine · 2022Article
- Flexibility and Adaptation of Cancer Cells in a Heterogenous Metabolic Microenvironment.International journal of molecular sciences · 2021Review
- Focus on the glycerophosphocholine pathway in choline phospholipid metabolism of cancer.NMR in biomedicine · 2019Review
- Gluconeogenesis in cancer cells - Repurposing of a starvation-induced metabolic pathway?Biochimica et biophysica acta. Reviews on cancer · 2019Review
- Tissue amino acid profiles are characteristic of tumor type, malignant phenotype, and tumor progression in pancreatic tumors.Scientific reports · 2019Article
- Urine Nuclear Magnetic Resonance (NMR) Metabolomics in Age-Related Macular Degeneration.Journal of proteome research · 2019Article
- Applications of high-resolution magic angle spinning MRS in biomedical studies II-Human diseases.NMR in biomedicine · 2017Review
- Nuclear Magnetic Resonance technique in tumor metabolism.Genes & diseases · 2017Review
- Human plasma metabolomics in age-related macular degeneration (AMD) using nuclear magnetic resonance spectroscopy.PloS one · 2017Article
- Evaluation of Cancer Metabolomics Using ex vivo High Resolution Magic Angle Spinning (HRMAS) Magnetic Resonance Spectroscopy (MRS).Metabolites · 2016Review
- Metabolic profiles of brain metastases.International journal of molecular sciences · 2013Article
- The effect of antitumor glycosides on glioma cells and tissues as studied by proton HR-MAS NMR spectroscopy.PloS one · 2013Article
- Glutathione levels in human tumors.Biomarkers : biochemical indicators of exposure, response, and susceptibility to chemicals · 2012Review
- H HRMAS NMR Derived Bio-markers Related to Tumor Grade, Tumor Cell Fraction, and Cell Proliferation in Prostate Tissue Samples.Biomarker insights · 2011Article
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study aims to evaluate the potential of (1)H NMR spectroscopy, combined with multivariate statistics, for discriminating between tumour and non-involved (control) pulmonary parenchyma and for providing biochemical information on different histological types. Paired tissue samples from 24 primary lung tumours were directly analysed by high-resolution magic angle spinning (HRMAS) (1)H NMR spectroscopy (500 MHz), and their spectral profiles subjected to principal component analysis (PCA) and partial least squares regression discriminant analysis (PLS-DA). Tumour and adjacent control parenchyma were clearly discriminated in the PLS-DA model with a high level of sensitivity (95% of tumour samples correctly classified) and 100% specificity (no false positives). The metabolites giving rise to this separation were mainly lactate, glycerophosphocholine, phosphocholine, taurine, reduced glutathione and uridine di-phosphate (elevated in tumours) and glucose, phosphoethanolamine, acetate, lysine, methionine, glycine, myo- and scyllo-inositol (reduced in tumours compared to control tissues). Furthermore, PLS-DA of a sub-set of tumour samples allowed adenocarcinomas to be discriminated from carcinoid tumours and epidermoid carcinomas, highlighting differences in metabolite levels between these histological types, and therefore revealing valuable knowledge on the biochemistry of different types of bronchial-pulmonary carcinomas.
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