Originally published In Press as doi:10.1074/mcp.M900124-MCP200 on August 12, 2009.
Molecular & Cellular Proteomics 8:2595-2612, 2009.
© 2009 by The American Society for Biochemistry and Molecular Biology, Inc.
Research
iTRAQ-based Proteomics Profiling Reveals Increased Metabolic Activity and Cellular Cross-talk in Angiogenic Compared with Invasive Glioblastoma Phenotype*,
Uros Rajcevic ,
Kjell Petersen ,
Jaco C. Knol¶,
Maarten Loos||,
Sébastien Bougnaud ,
Oleg Klychnikov||,
Ka Wan Li||,
Thang V. Pham¶,
Jian Wang**,
Hrvoje Miletic**,
Zhao Peng**,
Rolf Bjerkvig ,**,
Connie R. Jimenez¶ and
Simone P. Niclou ,
From the Norlux Neuro-Oncology Laboratory, Department of Oncology, Centre de Recherche Public Santé (CRP-Santé), 84 Val Fleuri, L-1526 Luxembourg, Luxembourg,
Computational Biology Unit, Bergen Center for Computational Science, University of Bergen, Thormøhlensgt 55, N-5008 Bergen, Norway,
¶OncoProteomics Laboratory, Department of Medical Oncology, Vrije Universiteit (VU) Medical Cancer Center, De Boelelaan 1117, NL-1081 HV Amsterdam, The Netherlands,
||Department of Molecular and Cellular Neurobiology, Center for Neurogenomics and Cognitive Research, VU Amsterdam, De Boelelaan 1085, NL-1081 HV Amsterdam, The Netherlands,
**Norlux Neuro-Oncology, Department of Biomedicine, University of Bergen , Jonas Lies Vei 91, N-5009 Bergen, Norway
Malignant gliomas (glioblastoma multiforme) have a poor prognosis with an average patient survival under current treatment regimens ranging between 12 and 14 months. The tumors are characterized by rapid cell growth, extensive neovascularization, and diffuse cellular infiltration of normal brain structures. We have developed a human glioblastoma xenograft model in nude rats that is characterized by a highly infiltrative non-angiogenic phenotype. Upon serial transplantation this phenotype will develop into a highly angiogenic tumor. Thus, we have developed an animal model where we are able to establish two characteristic tumor phenotypes that define human glioblastoma (i.e. diffuse infiltration and high neovascularization). Here we aimed at identifying potential biomarkers expressed by the non-angiogenic and the angiogenic phenotypes and elucidating the molecular pathways involved in the switch from invasive to angiogenic growth. Focusing on membrane-associated proteins, we profiled protein expression during the progression from an invasive to an angiogenic phenotype by analyzing serially transplanted glioma xenografts in rats. Applying isobaric peptide tagging chemistry (iTRAQ) combined with two-dimensional LC and MALDI-TOF/TOF mass spectrometry, we were able to identify several thousand proteins in membrane-enriched fractions of which 1460 were extracted as quantifiable proteins (isoform- and species-specific and present in more than one sample). Known and novel candidate proteins were identified that characterize the switch from a non-angiogenic to a highly angiogenic phenotype. The robustness of the data was corroborated by extensive bioinformatics analysis and by validation of selected proteins on tissue microarrays from xenograft and clinical gliomas. The data point to enhanced intercellular cross-talk and metabolic activity adopted by tumor cells in the angiogenic compared with the non-angiogenic phenotype. In conclusion, we describe molecular profiles that reflect the change from an invasive to an angiogenic brain tumor phenotype. The identified proteins could be further exploited as biomarkers or therapeutic targets for malignant gliomas.
 To whom correspondence should be addressed: Norlux Neuro-Oncology Laboratory, CRP-Santé, 84 Val Fleuri, L-1526 Luxembourg, Luxembourg. E-mail: simone.niclou{at}crp-sante.lu.

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Copyright © 2009 by the American Society for Biochemistry and Molecular Biology.
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