Imaging growth as a predictor of grade of malignancy and aggressiveness of IDH-mutant and 1p/19q-codeleted oligodendrogliomas in adults.

BACKGROUND We quantified the spontaneous imaging growth rate of oligodendrogliomas. We assessed whether: 1) it discriminates between grade II and grade III oligodendrogliomas; 2) grade III oligodendrogliomas with neoangiogenesis are associated with more fast growth rates (≥8 mm/year). METHODS Retrospective bicentric cohort study (2010-2016) of adult patients harboring a newly diagnosed supratentorial oligodendroglioma, IDH-mutant and 1p/19q-codeleted (World Health Organization 2016 classification), with a minimum of two available MRI's before any treatment (minimum six-week interval) to measure the spontaneous tumor growth rate. RESULTS We included 108 patients (44.7±14.1 years, 60 males). The tumor growth rate was higher in grade III oligodendrogliomas with neoangiogenesis (n=37, median 10.4 mm/year, mean 10.0±6.9) than in grade III oligodendrogliomas with increased mitosis count only (cutoff ≥6 mitoses, n=18, median 3.9 mm/year, mean 4.5±3.2; p=0.004), and higher than in grade II oligodendrogliomas (n=53, median 2.3 mm/year, mean 2.8±2.2; p<0.001). There was increased prevalence of fast tumor growth rates in grade III oligodendrogliomas with neoangiogenesis (54.1%) compared to grade III oligodendrogliomas with increased mitosis count only (11.1%; p<0.001), and to grade II oligodendrogliomas (0.0%; p<0.001). The tumor growth rate trends did not differ between centres (p=0.121). Neoangiogenesis (p<0.001) and mitosis count at 9 and > (p=0.013) were independently associated with tumor growth rates ≥8 mm/year. A tumor growth rates ≥8 mm/year was the only predictor independently associated with shorter progression-free survival (p=0.041). CONCLUSIONS The spontaneous tumor growth rate recapitulates oligodendroglioma aggressiveness, permits identification of grade III oligodendrogliomas preoperatively when ≥8 mm/year, and questions the grading by mitosis count.

[1]  A. Unterberg,et al.  To treat or not to treat? A retrospective multicenter assessment of survival in patients with IDH-mutant low-grade glioma based on adjuvant treatment. , 2020, Journal of neurosurgery.

[2]  F. Ducray,et al.  CDKN2A homozygous deletion is a strong adverse prognosis factor in diffuse malignant IDH-mutant gliomas. , 2019, Neuro-oncology.

[3]  Pieter Wesseling,et al.  cIMPACT‐NOW: a practical summary of diagnostic points from Round 1 updates , 2019, Brain pathology.

[4]  N. Bouaynaya,et al.  Diagnosing growth in low-grade gliomas with and without longitudinal volume measurements: A retrospective observational study , 2019, PLoS medicine.

[5]  C. Miller,et al.  Recent Developments and Future Directions in Adult Lower-Grade Gliomas: Society for Neuro-Oncology (SNO) and European Association of Neuro-Oncology (EANO) Consensus. , 2019, Neuro-oncology.

[6]  B. Ertl-Wagner,et al.  Contrast enhancement is a prognostic factor in IDH1/2 mutant, but not in wild-type WHO grade II/III glioma as confirmed by machine learning. , 2019, European journal of cancer.

[7]  A. Jakola,et al.  Clinical Presentation, Natural History, and Prognosis of Diffuse Low-Grade Gliomas. , 2019, Neurosurgery clinics of North America.

[8]  Sameer H. Halani,et al.  Multi-faceted computational assessment of risk and progression in oligodendroglioma implicates NOTCH and PI3K pathways , 2018, npj Precision Oncology.

[9]  Jonathan C. Lau,et al.  Tumor growth dynamics in serially-imaged low-grade glioma patients , 2018, Journal of Neuro-Oncology.

[10]  J. Pallud Actual Oncologic Impact of Radical Surgical Resection for Malignant Gliomas. , 2018, World neurosurgery.

[11]  H. Duffau,et al.  Low-Grade Glioma with Foci of Early Transformation Does Not Necessarily Require Adjuvant Therapy After Radical Surgical Resection. , 2017, World neurosurgery.

[12]  J. Drappatz,et al.  Chemotherapy of Oligodendrogliomas. , 2018, Progress in neurological surgery.

[13]  Susan M. Chang,et al.  Diffuse Infiltrating Oligodendroglioma and Astrocytoma. , 2017, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[14]  G. Reifenberger,et al.  European Association for Neuro-Oncology (EANO) guideline on the diagnosis and treatment of adult astrocytic and oligodendroglial gliomas. , 2017, The Lancet. Oncology.

[15]  David T. W. Jones,et al.  Multidimensional scaling of diffuse gliomas: application to the 2016 World Health Organization classification system with prognostically relevant molecular subtype discovery , 2017, Acta neuropathologica communications.

[16]  Jennie W. Taylor,et al.  Adult infiltrating gliomas with WHO 2016 integrated diagnosis: additional prognostic roles of ATRX and TERT , 2017, Acta Neuropathologica.

[17]  Pieter Wesseling,et al.  Molecular classification of anaplastic oligodendroglioma using next-generation sequencing: a report of the prospective randomized EORTC Brain Tumor Group 26951 phase III trial. , 2016, Neuro-oncology.

[18]  Steven N. Kalkanis,et al.  The role of radiotherapy in the management of patients with diffuse low grade glioma: A systematic review and evidence-based clinical practice guideline. , 2015 .

[19]  Steven N. Kalkanis,et al.  The role of imaging in the management of adults with diffuse low grade glioma , 2015, Journal of Neuro-Oncology.

[20]  Steven J. M. Jones,et al.  Comprehensive, Integrative Genomic Analysis of Diffuse Lower-Grade Gliomas. , 2015, The New England journal of medicine.

[21]  Johan Pallud,et al.  Imaging of gliomas at 1.5 and 3 Tesla - A comparative study. , 2015, Neuro-oncology.

[22]  Satoru Miyano,et al.  Mutational landscape and clonal architecture in grade II and III gliomas , 2015, Nature Genetics.

[23]  K. Aldape,et al.  IDH mutation status and role of WHO grade and mitotic index in overall survival in grade II–III diffuse gliomas , 2015, Acta Neuropathologica.

[24]  David T. W. Jones,et al.  ATRX and IDH1-R132H immunohistochemistry with subsequent copy number analysis and IDH sequencing as a basis for an “integrated” diagnostic approach for adult astrocytoma, oligodendroglioma and glioblastoma , 2014, Acta Neuropathologica.

[25]  R. Guillevin,et al.  Velocity of tumor spontaneous expansion predicts long-term outcomes for diffuse low-grade gliomas. , 2013, Neuro-oncology.

[26]  E. Shaw,et al.  Phase III trial of chemoradiotherapy for anaplastic oligodendroglioma: long-term results of RTOG 9402. , 2013, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[27]  Winand N M Dinjens,et al.  Adjuvant procarbazine, lomustine, and vincristine chemotherapy in newly diagnosed anaplastic oligodendroglioma: long-term follow-up of EORTC brain tumor group study 26951. , 2013, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[28]  Luc Taillandier,et al.  Quantitative morphological magnetic resonance imaging follow-up of low-grade glioma: a plea for systematic measurement of growth rates. , 2012, Neurosurgery.

[29]  Julie Delon,et al.  Differential MRI analysis for quantification of low grade glioma growth , 2012, Medical Image Anal..

[30]  E. Mandonnet,et al.  Comment on parameters of low-grade glioma as predictors. , 2010, Radiology.

[31]  F. Ducray,et al.  Prolonged response without prolonged chemotherapy: a lesson from PCV chemotherapy in low-grade gliomas. , 2010, Neuro-oncology.

[32]  V. Preedy,et al.  European Organization for Research and Treatment of Cancer , 2010 .

[33]  J. Honnorat,et al.  Predictive value of multimodality MRI using conventional, perfusion, and spectroscopy MR in anaplastic transformation of low-grade oligodendrogliomas , 2010, Journal of Neuro-Oncology.

[34]  Olga Ciccarelli,et al.  Low-grade gliomas: six-month tumor growth predicts patient outcome better than admission tumor volume, relative cerebral blood volume, and apparent diffusion coefficient. , 2009, Radiology.

[35]  Dorothee P. Auer,et al.  Quantitative imaging biomarkers in neuro-oncology , 2009, Nature Reviews Clinical Oncology.

[36]  Luc Taillandier,et al.  Prognostic significance of imaging contrast enhancement for WHO grade II gliomas. , 2009, Neuro-oncology.

[37]  Luc Taillandier,et al.  Inter- and intrapatients comparison of WHO grade II glioma kinetics before and after surgical resection , 2009, Neurosurgical Review.

[38]  Luc Taillandier,et al.  Computational modeling of the WHO grade II glioma dynamics: principles and applications to management paradigm , 2008, Neurosurgical Review.

[39]  Laurent Capelle,et al.  Dynamic history of low‐grade gliomas before and after temozolomide treatment , 2007, Annals of neurology.

[40]  D. Louis WHO classification of tumours of the central nervous system , 2007 .

[41]  Luc Taillandier,et al.  Prognostic value of initial magnetic resonance imaging growth rates for World Health Organization grade II gliomas , 2006, Annals of neurology.

[42]  Laurent Capelle,et al.  Continuous growth of mean tumor diameter in a subset of grade II gliomas , 2003, Annals of neurology.

[43]  A. Karim,et al.  Prognostic factors for survival in adult patients with cerebral low-grade glioma. , 2002, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[44]  B. Scheithauer,et al.  Oligodendrogliomas: Reproducibility and Prognostic Value of Histologic Diagnosis and Grading , 2001, Journal of neuropathology and experimental neurology.