Abstract
Glioblastoma (GB) is the most frequent and aggressive type of primary brain tumor. Recurrences are mostly located at the margin of the resection cavity in the peritumoral brain zone (PBZ). Although it is widely believed that infiltrative tumor cells in this zone are responsible for GB recurrence, few studies have examined this zone. In this study, we analyzed PBZ left after surgery with a variety of techniques including radiology, histopathology, flow cytometry, genomic, transcriptomic, proteomic, and primary cell cultures. The resulting PBZ profiles were compared with those of the GB tumor zone and normal brain samples to identify characteristics specific to the PBZ. We found that tumor cell infiltration detected by standard histological analysis was present in almost one third of PBZ taken from an area that was considered normal both on standard MRI and by the neurosurgeon under an operating microscope. The panel of techniques used in this study show that the PBZ, similar to the tumor zone itself, is characterized by substantial inter-patient heterogeneity, which makes it difficult to identify representative markers. Nevertheless, we identified specific alterations in the PBZ such as the presence of selected tumor clones and stromal cells with tumorigenic and angiogenic properties. The study of GB-PBZ is a growing field of interest and this region needs to be characterized further. This will facilitate the development of new, targeted therapies for patients with GB and the development of approaches to refine the per-operative evaluation of the PBZ to optimize the surgical resection of the tumor.
Similar content being viewed by others
References
Stupp R, Hegi ME, Mason WP et al (2009) Effects of radiotherapy with concomitant and adjuvant temozolomide versus radiotherapy alone on survival in glioblastoma in a randomised phase III study: 5 year analysis of the EORTC-NCIC trial. Lancet Oncol 10:459–466
Stupp R, Mason WP, van den Bent MJ et al (2005) Radiotherapy plus concomitant and adjuvant temozolomide for glioblastoma. N Engl J Med 352:987–996
Chaichana KL, Jusue-Torres I, Navarro-Ramirez R et al (2013) Establishing percent resection and residual volume thresholds affecting survival and recurrence for patients with newly diagnosed intracranial glioblastoma. Neuro-Oncol. doi:10.1093/neuonc/not137
Orringer D, Lau D, Khatri S, Zamora-Berridi GJ, Zhang K, Wu C, Chaudhary N, Sagher O (2012) Extent of resection in patients with glioblastoma: limiting factors, perception of resectability, and effect on survival. J Neurosurg 117:851–859
Stummer W, Reulen H-J, Meinel T et al (2008) Extent of resection and survival in glioblastoma multiforme: identification of and adjustment for bias. Neurosurgery 62:564–576 discussion 564–576
McGirt MJ, Chaichana KL, Gathinji M, Attenello FJ, Than K, Olivi A, Weingart JD, Brem H, Quiñones-Hinojosa AR (2009) Independent association of extent of resection with survival in patients with malignant brain astrocytoma. J Neurosurg 110:156–162
Sherriff J, Tamangani J, Senthil L, Cruickshank G, Spooner D, Jones B, Brookes C, Sanghera P (2013) Patterns of relapse in glioblastoma multiforme following concomitant chemoradiotherapy with temozolomide. Br J Radiol 86:20120414
Petrecca K, Guiot M-C, Panet-Raymond V, Souhami L (2013) Failure pattern following complete resection plus radiotherapy and temozolomide is at the resection margin in patients with glioblastoma. J Neurooncol 111:19–23
Nagashima G, Suzuki R, Hokaku H, Takahashi M, Miyo T, Asai J, Nakagawa N, Fujimoto T (1999) Graphic analysis of microscopic tumor cell infiltration, proliferative potential, and vascular endothelial growth factor expression in an autopsy brain with glioblastoma. Surg Neurol 51:292–299
Scherer HJ (1940) The forms of growth in gliomas and their practical significance. Brain 63:1–35
Yamahara T, Numa Y, Oishi T, Kawaguchi T, Seno T, Asai A, Kawamoto K (2010) Morphological and flow cytometric analysis of cell infiltration in glioblastoma: a comparison of autopsy brain and neuroimaging. Brain Tumor Pathol 27:81–87
Glas M, Rath BH, Simon M et al (2010) Residual tumor cells are unique cellular targets in glioblastoma. Ann Neurol 68:264–269
Piccirillo SGM, Dietz S, Madhu B, Griffiths J, Price SJ, Collins VP, Watts C (2012) Fluorescence-guided surgical sampling of glioblastoma identifies phenotypically distinct tumour-initiating cell populations in the tumour mass and margin. Br J Cancer 107:462–468
Ruiz-Ontañon P, Orgaz JL, Aldaz B et al (2013) Cellular plasticity confers migratory and invasive advantages to a population of glioblastoma-initiating cells that infiltrate peritumoral tissue. Stem Cells Dayt Ohio 31:1075–1085
Clavreul A, Etcheverry A, Chassevent A et al (2012) Isolation of a new cell population in the glioblastoma microenvironment. J Neurooncol 106:493–504
Clavreul A, Guette C, Faguer R et al (2014) Glioblastoma-associated stromal cells (GASCs) from histologically normal surgical margins have a myofibroblast phenotype and angiogenic properties. J Pathol. doi:10.1002/path.4332
Lemée J-M, Com E, Clavreul A, Avril T, Quillien V, de Tayrac M, Pineau C, Menei P (2013) Proteomic analysis of glioblastomas: what is the best brain control sample? J Proteomics 85:165–173
Com E, Clavreul A, Lagarrigue M, Michalak S, Menei P, Pineau C (2012) Quantitative proteomic isotope-coded protein label (ICPL) analysis reveals alteration of several functional processes in the glioblastoma. J Proteomics 75:3898–3913
De Tayrac M, Etcheverry A, Aubry M, Saïkali S, Hamlat A, Quillien V, Le Treut A, Galibert M-D, Mosser J (2009) Integrative genome-wide analysis reveals a robust genomic glioblastoma signature associated with copy number driving changes in gene expression. Genes Chromosomes Cancer 48:55–68
De Tayrac M, Saikali S, Aubry M, Bellaud P, Boniface R, Quillien V, Mosser J (2013) Prognostic significance of EDN/RB, HJURP, p60/CAF-1 and PDLI4, four new markers in high-grade gliomas. PLoS ONE 8:e73332
De Tayrac M, Aubry M, Saïkali S et al (2011) A 4-gene signature associated with clinical outcome in high-grade gliomas. Clin Cancer Res Off J Am Assoc Cancer Res 17:317–327
Etcheverry A, Aubry M, de Tayrac M et al (2010) DNA methylation in glioblastoma: impact on gene expression and clinical outcome. BMC Genom 11:701
Louis DN, Ohgaki H, Wiestler OD, Cavenee WK, Burger PC, Jouvet A, Scheithauer BW, Kleihues P (2007) The 2007 WHO classification of tumours of the central nervous system. Acta Neuropathol (Berl) 114:97–109
Vindeløv LL, Christensen IJ, Jensen G, Nissen NI (1983) Limits of detection of nuclear DNA abnormalities by flow cytometric DNA analysis. Results obtained by a set of methods for sample-storage, staining and internal standardization. Cytometry 3:332–339
Tofts PS, Kermode AG (1991) Measurement of the blood-brain barrier permeability and leakage space using dynamic MR imaging. 1. Fundamental concepts. Magn Reson Med 17:357–367
Zhang N, Zhang L, Qiu B, Meng L, Wang X, Hou BL (2012) Correlation of volume transfer coefficient Ktrans with histopathologic grades of gliomas. J Magn Reson Imaging JMRI 36:355–363
Jbabdi S, Mandonnet E, Duffau H, Capelle L, Swanson KR, Pélégrini-Issac M, Guillevin R, Benali H (2005) Simulation of anisotropic growth of low-grade gliomas using diffusion tensor imaging. Magn Reson Med 54:616–624
Server A, Kulle B, Maehlen J, Josefsen R, Schellhorn T, Kumar T, Langberg CW, Nakstad PH (2009) Quantitative apparent diffusion coefficients in the characterization of brain tumors and associated peritumoral edema. Acta Radiol Stockh Swed 50:682–689
Tsolaki E, Svolos P, Kousi E, Kapsalaki E, Fountas K, Theodorou K, Tsougos I (2013) Automated differentiation of glioblastomas from intracranial metastases using 3T MR spectroscopic and perfusion data. Int J Comput Assist Radiol Surg 8:751–761
Tsougos I, Svolos P, Kousi E, Fountas K, Theodorou K, Fezoulidis I, Kapsalaki E (2012) Differentiation of glioblastoma multiforme from metastatic brain tumor using proton magnetic resonance spectroscopy, diffusion and perfusion metrics at 3 T. Cancer Imaging Off Publ Int Cancer Imaging Soc 12:423–436
Server A, Kulle B, Gadmar ØB, Josefsen R, Kumar T, Nakstad PH (2011) Measurements of diagnostic examination performance using quantitative apparent diffusion coefficient and proton MR spectroscopic imaging in the preoperative evaluation of tumor grade in cerebral gliomas. Eur J Radiol 80:462–470
Law M, Yang S, Wang H, Babb JS, Johnson G, Cha S, Knopp EA, Zagzag D (2003) Glioma grading: sensitivity, specificity, and predictive values of perfusion MR imaging and proton MR spectroscopic imaging compared with conventional MR imaging. AJNR Am J Neuroradiol 24:1989–1998
Min Z, Niu C, Rana N, Ji H, Zhang M (2013) Differentiation of pure vasogenic edema and tumor-infiltrated edema in patients with peritumoral edema by analyzing the relationship of axial and radial diffusivities on 3.0T MRI. Clin Neurol Neurosurg 115:1366–1370
Colditz MJ, Jeffree RL (2012) Aminolevulinic acid (ALA)–protoporphyrin IX fluorescence guided tumour resection. Part 1: clinical, radiological and pathological studies. J Clin Neurosci 19:1471–1474
Idoate MA, Díez Valle R, Echeveste J, Tejada S (2011) Pathological characterization of the glioblastoma border as shown during surgery using 5-aminolevulinic acid-induced fluorescence. Neuropathology 31:575–582
Burger PC, Heinz ER, Shibata T, Kleihues P (1988) Topographic anatomy and CT correlations in the untreated glioblastoma multiforme. J Neurosurg 68:698–704
Koppelkamm A, Vennemann B, Lutz-Bonengel S, Fracasso T, Vennemann M (2011) RNA integrity in post-mortem samples: influencing parameters and implications on RT-qPCR assays. Int J Legal Med 125:573–580
Sköld K, Svensson M, Norrman M, Sjögren B, Svenningsson P, Andrén PE (2007) The significance of biochemical and molecular sample integrity in brain proteomics and peptidomics: stathmin 2–20 and peptides as sample quality indicators. Proteomics 7:4445–4456
Mangiola A, Saulnier N, De Bonis P et al (2013) Gene expression profile of glioblastoma peritumoral tissue: an ex vivo study. PLoS ONE 8:e57145
Acknowledgments
We gratefully acknowledge the neurosurgeons, the radiologists and the neuropathologists at the University Hospitals of Angers, Rennes, Poitiers, Brest, and Tours for supplying us with GB and PBZ tissue samples. We also thank the members of the glioma network of the Cancéropole Grand Ouest and Agnès Chassevent for providing facilities. This work was supported by the Cancéropôle Grand Ouest and the Institut National du Cancer (INCa). The first author of the study (J.-M.L.) received grants from the Société Française de Neuro-Chirurgie (SFNC) and from the Institut National de la Santé et de la Recherche Médicale (INSERM).
Conflicts of interest
The authors report no conflict of interest concerning the materials or methods used in this study or the findings specified in this paper.
Author information
Authors and Affiliations
Corresponding author
Electronic supplementary material
Below is the link to the electronic supplementary material.
Rights and permissions
About this article
Cite this article
Lemée, JM., Clavreul, A., Aubry, M. et al. Characterizing the peritumoral brain zone in glioblastoma: a multidisciplinary analysis. J Neurooncol 122, 53–61 (2015). https://doi.org/10.1007/s11060-014-1695-8
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11060-014-1695-8