Literature DB >> 19885604

Identification of mobile lipids in human cancer tissues by ex vivo diffusion edited HR-MAS MRS.

Valeria Righi1, Adele Mucci, Luisa Schenetti, Antonella Bacci, Raffaele Agati, Marco Leonardi, Riccardo Schiavina, Giuseppe Martorana, Giuseppina Liguori, Carlo Calabrese, Elisa Boschetti, Sergio Bonora, Vitaliano Tugnoli.   

Abstract

Magnetic Resonance Spectroscopy visible mobile lipids are considered important markers in the diagnosis of human cancer and are thought to be closely involved in various aspects of tumour transformation, such as cell proliferation, necrosis, apoptosis, hypoxia and drug resistance. A method allowing the straightforward identification of the lipid classes contributing to the mobile lipids in human malignant tissues is highly advisable. Ex vivo High Resolution Magic Angle Spinning Magnetic Resonance Spectroscopy was done directly on human cerebral, renal and colorectal malignant tissue specimens. A diffusion edited sequence, based on stimulated echo and bipolar gradient pulses, was used to characterize molecules with low diffusion rates, arising from mobile lipid components. Cholesterol, triglycerides and phosphatidylcholine are simultaneously detected and all contribute to the mobile lipid resonances present in malignant glioma and clear cell renal carcinoma tissue specimens spectra. On the contrary, papillary cell renal carcinoma spectrum is predominated by phosphatidylcholine resonances and that of colorectal adenocarcinoma is characterized by signals arising from triglycerides. Ex vivo diffusion edited High Resolution Magic Angle Spinning Magnetic Resonance Spectroscopy, done on intact tissue, is a powerful analytical tool to obtain a simple and immediate identification of mobile lipid components. This can offer a significant contribution to better understanding their involvement in cancer tissues. Furthermore, ex vivo high resolution spectroscopic measurements allow to improve the interpretation of in vivo Magnetic Resonance spectra, increasing its clinical potentiality.

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Year:  2009        PMID: 19885604     DOI: 10.3892/or_00000592

Source DB:  PubMed          Journal:  Oncol Rep        ISSN: 1021-335X            Impact factor:   3.906


  6 in total

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Journal:  MAGMA       Date:  2010-06-13       Impact factor: 2.310

2.  Localized hypoxia results in spatially heterogeneous metabolic signatures in breast tumor models.

Authors:  Lu Jiang; Tiffany R Greenwood; Dmitri Artemov; Venu Raman; Paul T Winnard; Ron M A Heeren; Zaver M Bhujwalla; Kristine Glunde
Journal:  Neoplasia       Date:  2012-08       Impact factor: 5.715

3.  Assessing Heterogeneity of Osteolytic Lesions in Multiple Myeloma by ¹H HR-MAS NMR Metabolomics.

Authors:  Laurette Tavel; Francesca Fontana; Josè Manuel Garcia Manteiga; Silvia Mari; Elisabetta Mariani; Enrico Caneva; Roberto Sitia; Francesco Camnasio; Magda Marcatti; Simone Cenci; Giovanna Musco
Journal:  Int J Mol Sci       Date:  2016-10-31       Impact factor: 5.923

4.  Robust Conditional Independence maps of single-voxel Magnetic Resonance Spectra to elucidate associations between brain tumours and metabolites.

Authors:  Raúl Vicente Casaña-Eslava; Sandra Ortega-Martorell; Paulo J Lisboa; Ana Paula Candiota; Margarida Julià-Sapé; José David Martín-Guerrero; Ian H Jarman
Journal:  PLoS One       Date:  2020-07-01       Impact factor: 3.240

5.  Shared and unique metabolic features of the malignant and benign thyroid lesions determined with use of 1H HR MAS NMR spectroscopy.

Authors:  Agnieszka Skorupa; Mateusz Ciszek; Ewa Chmielik; Łukasz Boguszewicz; Małgorzata Oczko-Wojciechowska; Małgorzata Kowalska; Dagmara Rusinek; Tomasz Tyszkiewicz; Aneta Kluczewska-Gałka; Agnieszka Czarniecka; Barbara Jarząb; Maria Sokół
Journal:  Sci Rep       Date:  2021-01-14       Impact factor: 4.379

6.  Metabolic profiles of brain metastases.

Authors:  Torill E Sjøbakk; Riyas Vettukattil; Michel Gulati; Sasha Gulati; Steinar Lundgren; Ingrid S Gribbestad; Sverre H Torp; Tone F Bathen
Journal:  Int J Mol Sci       Date:  2013-01-22       Impact factor: 5.923

  6 in total

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