Literature DB >> 23651564

Proteomic analysis of glioblastomas: what is the best brain control sample?

Jean-Michel Lemée1, Emmanuelle Com, Anne Clavreul, Tony Avril, Véronique Quillien, Marie de Tayrac, Charles Pineau, Philippe Menei.   

Abstract

Glioblastoma (GB) is the most frequent and aggressive tumor of the central nervous system. There is currently growing interest in proteomic studies of GB, particularly with the aim of identifying new prognostic or therapeutic response markers. However, comparisons between different proteomic analyses of GB have revealed few common differentiated proteins. The types of control samples used to identify such proteins may in part explain the different results obtained. We therefore tried to determine which control samples would be most suitable for GB proteomic studies. We used an isotope-coded protein labeling (ICPL) method followed by mass spectrometry to reveal and compare the protein patterns of two commonly used types of control sample: GB peritumoral brain zone samples (PBZ) from six patients and epilepsy surgery brain samples (EB) pooled from three patients. The data obtained were processed using AMEN software for network analysis. We identified 197 non-redundant proteins and 35 of them were differentially expressed. Among these 35 differentially expressed proteins, six were over-expressed in PBZ and 29 in EB, showing different proteomic patterns between the two samples. Surprisingly, EB appeared to display a tumoral-like expression pattern in comparison to PBZ. In our opinion, PBZ may be more appropriate control sample for GB proteomic analysis. BIOLOGICAL SIGNIFICANCE: This manuscript describes an original study in which we used an isotope-coded protein labeling method followed by mass spectrometry to identify and compare the protein patterns in two types of sample commonly used as control for glioblastoma (GB) proteomic analysis: peritumoral brain zone and brain samples obtained during surgery for epilepsy. The choice of control samples is critical for identifying new prognostic and/or diagnostic markers in GB.
Copyright © 2013 Elsevier B.V. All rights reserved.

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Year:  2013        PMID: 23651564     DOI: 10.1016/j.jprot.2013.04.031

Source DB:  PubMed          Journal:  J Proteomics        ISSN: 1874-3919            Impact factor:   4.044


  10 in total

1.  Core Canonical Pathways Involved in Developing Human Glioblastoma Multiforme (GBM).

Authors:  Somiranjan Ghosh; Sisir Dutta; Gabriel Thorne; Ava Boston; Alexis Barfield; Narendra Banerjee; Rayshawn Walker; Hirendra Nath Banerjee
Journal:  Int J Sci Res Sci Eng Technol       Date:  2017-02-01

2.  Characterizing the peritumoral brain zone in glioblastoma: a multidisciplinary analysis.

Authors:  Jean-Michel Lemée; Anne Clavreul; Marc Aubry; Emmanuelle Com; Marie de Tayrac; Pierre-Antoine Eliat; Cécile Henry; Audrey Rousseau; Jean Mosser; Philippe Menei
Journal:  J Neurooncol       Date:  2015-01-06       Impact factor: 4.130

Review 3.  Intratumoral heterogeneity in glioblastoma: don't forget the peritumoral brain zone.

Authors:  Jean-Michel Lemée; Anne Clavreul; Philippe Menei
Journal:  Neuro Oncol       Date:  2015-07-22       Impact factor: 12.300

Review 4.  Circulating biomarkers for gliomas.

Authors:  Manfred Westphal; Katrin Lamszus
Journal:  Nat Rev Neurol       Date:  2015-09-15       Impact factor: 42.937

5.  From the core to beyond the margin: a genomic picture of glioblastoma intratumor heterogeneity.

Authors:  Marc Aubry; Marie de Tayrac; Amandine Etcheverry; Anne Clavreul; Stéphan Saikali; Philippe Menei; Jean Mosser
Journal:  Oncotarget       Date:  2015-05-20

6.  Cluster and Principal Component Analysis of Human Glioblastoma Multiforme (GBM) Tumor Proteome.

Authors:  Mehdi Pooladi; Mostafa Rezaei-Tavirani; Mehrdad Hashemi; Saeed Hesami-Tackallou; Solmaz Khaghani-Razi-Abad; Afshin Moradi; Ali Reza Zali; Masoumeh Mousavi; Leila Firozi-Dalvand; Azadeh Rakhshan; Mona Zamanian Azodi
Journal:  Iran J Cancer Prev       Date:  2014

7.  Integration of transcriptome and proteome profiles in glioblastoma: looking for the missing link.

Authors:  Jean-Michel Lemée; Anne Clavreul; Marc Aubry; Emmanuelle Com; Marie de Tayrac; Jean Mosser; Philippe Menei
Journal:  BMC Mol Biol       Date:  2018-11-21       Impact factor: 2.946

8.  The French glioblastoma biobank (FGB): a national clinicobiological database.

Authors:  Anne Clavreul; Gwénaëlle Soulard; Jean-Michel Lemée; Marion Rigot; Pascale Fabbro-Peray; Luc Bauchet; Dominique Figarella-Branger; Philippe Menei
Journal:  J Transl Med       Date:  2019-04-23       Impact factor: 5.531

9.  CCL18 Expression Is Higher in a Glioblastoma Multiforme Tumor than in the Peritumoral Area and Causes the Migration of Tumor Cells Sensitized by Hypoxia.

Authors:  Szymon Grochans; Jan Korbecki; Donata Simińska; Wojciech Żwierełło; Sylwia Rzeszotek; Agnieszka Kolasa; Klaudyna Kojder; Maciej Tarnowski; Dariusz Chlubek; Irena Baranowska-Bosiacka
Journal:  Int J Mol Sci       Date:  2022-08-01       Impact factor: 6.208

10.  Expression of SCD and FADS2 Is Lower in the Necrotic Core and Growing Tumor Area than in the Peritumoral Area of Glioblastoma Multiforme.

Authors:  Jan Korbecki; Klaudyna Kojder; Dariusz Jeżewski; Donata Simińska; Maciej Tarnowski; Patrycja Kopytko; Krzysztof Safranow; Izabela Gutowska; Marta Goschorska; Agnieszka Kolasa-Wołosiuk; Barbara Wiszniewska; Dariusz Chlubek; Irena Baranowska-Bosiacka
Journal:  Biomolecules       Date:  2020-05-07
  10 in total

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