Rapid Proteomic Profiling by MALDI-TOF Mass Spectrometry for Better Brain Tumor Classification.
Autor: | Petre G; UMR1205, Brain Tech Lab, Grenoble Alpes University, Grenoble, 38000, France., Durand H; UMR1205, Brain Tech Lab, Grenoble Alpes University, Grenoble, 38000, France., Pelletier L; Université Grenoble Alpes, Grenoble Institut des Neurosciences, GIN, F-38000, Grenoble, France., Poulenard M; UMR1205, Brain Tech Lab, Grenoble Alpes University, Grenoble, 38000, France., Nugue G; UMR1205, Brain Tech Lab, Grenoble Alpes University, Grenoble, 38000, France., Ray PF; Genetic Epigenetic and Therapies of Infertility, Institute for Advanced Biosciences, Inserm U1209, CNRS UMR 5309, Université Grenoble Alpes, Grenoble, 38000, France.; Unité Médicale de génétique de l'infertilité et DPI moléculaire (GI-DPI), Pôle Biologie, Institut de Biologie et de Pathologie, Centre Hospitalier Universitaire Grenoble Alpes, La Tronche, 38700, France., Rendu J; Université Grenoble Alpes, Grenoble Institut des Neurosciences, GIN, F-38000, Grenoble, France.; Unité Médicale de Génétique Moléculaire: Maladies Héréditaires et Oncologie, Pôle Biologie, Institut de Biologie et de Pathologie, Centre Hospitalier Universitaire Grenoble Alpes, La Tronche, 38700, France., Coutton C; Genetic Epigenetic and Therapies of Infertility, Institute for Advanced Biosciences, Inserm U1209, CNRS UMR 5309, Université Grenoble Alpes, Grenoble, 38000, France.; Unité Médicale de Génétique Chromosomique, Hopital Couple Enfant, Centre Hospitalier Universitaire Grenoble Alpes, La Tronche, 38700, France., Berger F; UMR1205, Brain Tech Lab, Grenoble Alpes University, Grenoble, 38000, France., Bidart M; UMR1205, Brain Tech Lab, Grenoble Alpes University, Grenoble, 38000, France.; Unité Médicale de Génétique Moléculaire: Maladies Héréditaires et Oncologie, Pôle Biologie, Institut de Biologie et de Pathologie, Centre Hospitalier Universitaire Grenoble Alpes, La Tronche, 38700, France. |
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Jazyk: | angličtina |
Zdroj: | Proteomics. Clinical applications [Proteomics Clin Appl] 2020 Sep; Vol. 14 (5), pp. e1900116. Date of Electronic Publication: 2020 Jul 09. |
DOI: | 10.1002/prca.201900116 |
Abstrakt: | Purpose: Glioblastoma is one of the most aggressive primary brain cancers. The precise grading of tumors is important to adopt the best follow-up treatment but complementary methods to histopathological diagnosis still lack in achieving an unbiased and reliable classification. Experimental Design: To progress in the field, a rapid Matrix Assisted Laser Desorption Ionization - Time of Flight Mass spectrometry (MALDI-TOF MS) protocole, devised for the identification and taxonomic classification of microorganisms and based on the analysis of whole cell extracts, was applied to glioma cell lines. Results: The analysis of different human glioblastoma cell lines permitted to identify distinct proteomic profiles thus demonstrating the ability of MALDI-TOF to distinguish different malignant cell types. Conclusions and Clinical Relevance: In the study, the authors showed the ability of MALDI-TOF profiling to discriminate glioblastoma cell lines, demonstrating that this technique could be used in complement to histological tumor classification. The proposed procedure is rapid and inexpensive and could be used to improve brain tumors classification and help propose a personalized and more efficient treatment. (© 2020 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.) |
Databáze: | MEDLINE |
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