Skip to main content
Log in

Prediction of anaplastic transformation in low-grade oligodendrogliomas based on magnetic resonance spectroscopy and 1p/19q codeletion status

  • Clinical Study
  • Published:
Journal of Neuro-Oncology Aims and scope Submit manuscript

Abstract

The aim of this study was to assess whether combining multimodal magnetic resonance imaging (MRI) with the determination of the 1p/19q codeletion status could improve the ability to predict anaplastic transformation in low-grade oligodendrogliomas. Twenty patients with grade II oligodendrogliomas were followed-up using multimodal MR [proton MR spectroscopy (MRS), perfusion, and conventional MR imaging]. All patients diagnoses were histologically proven, and 1p/19q codeletion status was analyzed for all patients. Median follow-up was 30.5 ± 11.4 months. Anaplastic transformation was observed in six patients. The only MRI feature that was associated with anaplastic transformation was an elevation of the choline/creatine ratio >2.4 which was observed in 4 out of 6 patients with anaplastic transformation versus 1 out of 14 patients without anaplastic transformation. In patients without 1p/19q codeletion, an elevation of the choline/creatine ratio >2.4 was associated with the occurrence of anaplastic transformation in all cases (4 out of 4 patients), with a mean time of 12 months. In contrast, in patients with a 1p/19q codeletion, no anaplastic transformation was observed in the patient who had an elevation of >2.4 of the choline/creatine ratio and two patients demonstrated an anaplastic transformation without any elevation of this ratio.Prospective validation in a larger series is needed, yet the present study suggests that combining data from in vivo proton MRS and genetic analysis could be a promising strategy to predict time to anaplastic transformation at the individual level in patients with low-grade oligodendrogliomas and may help deciding when chemotherapy and/or radiotherapy should be initiated in these tumors.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  1. Walker DG, Kaye AH (2003) Low-grade glial neoplasms. J ClinNeurosci 10:1–13

    Google Scholar 

  2. Forst DA, Nahed BV, Loeffler JS, Batchelor TT (2014) Low-GradeGliomas. Oncologist 19(4):403–413

  3. Duffau H, Lopes M, Arthuis F, Bitar A, Sichez JP, Van Effenterre R et al (2005) Contribution of intraoperative electrical stimulations in surgery oflow-grade gliomas: a comparative study between two series without(1985-1996) and with (1996-2003) functional mapping in the sameinstitution. J NeurolNeurosurg Psychiatry 76:845–851

    Article  CAS  Google Scholar 

  4. Abeloos L, Brotchi J, De Witte O (2007) Management of low-gradeglioma: a retrospective study concerning 201 patients. Neurochirurgie 53:277–283

    Article  CAS  PubMed  Google Scholar 

  5. Claus EB, Horlacher A, Hsu L, Schwartz RB, Dello-Iacono D, Talos F et al (2005) Survival rates in patients with low-grade gliomaafterintraoperative magnetic resonance image guidance. Cancer 103:1227–1233

    Article  PubMed  Google Scholar 

  6. Smith JS, Chang EF, Lamborn KR, Chang SM, Prados MD, Cha S et al (2008) Role of extent of resection in the long-term outcome oflow-grade hemispheric gliomas. J ClinOncol 26:1338–1345

    Article  Google Scholar 

  7. McGirt MJ, Chaichana KL, Attenello FJ, Weingart JD, Than K, Burger PC et al (2008) Extent of surgical resection is independently associatedwith survival in patients with hemispheric infiltrating lowgradegliomas. Neurosurgery 63:700–707 author reply 707-8

    Article  PubMed  Google Scholar 

  8. Chang EF, Potts MB, Keles GE, Lamborn KR, Chang SM, Barbaro NM et al (2008) Seizure characteristics and control followingresection in 332 patients with low-grade gliomas. J Neurosurg 108:227–235

    Article  PubMed  Google Scholar 

  9. Karim AB, Afra D, Cornu P, Bleehan N, Schraub S, De Witte O et al (2002) Randomised trial on the efficacy of radiotherapy for cerebrallow-grade glioma in the adult: European Organization for Researchand Treatment of Cancer Study 22845 with the Medical ResearchCouncil study BRO4: an interim analysis. Int J Radiat Oncol Biol Phys 52:316–324

    Article  PubMed  Google Scholar 

  10. van den Bent MJ, Afra D, de Witte O, Ben Hassel M, Schraub S, Hoang-Xuan K et al (2005) Long-term efficacy of early versus delayedradiotherapy for low-grade astrocytoma and oligodendrogliomainadults: the EORTC 22845 randomised trial. Lancet 366:985–990

    Article  PubMed  Google Scholar 

  11. Shaw E, Arusell R, Scheithauer B, O’Fallon J, O’Neill B, Dinapoli R et al (2002) Prospective randomized trial of low- versus highdoseradiation therapy in adults with supratentorial low-gradeglioma: initial report of a North Central Cancer Treatment Group/Radiation Therapy Oncology Group/Eastern Cooperative OncologyGroup study. J ClinOncol 20:2267–2276

    Article  CAS  Google Scholar 

  12. Hoang-Xuan K, Capelle L, Kujas M, Taillibert S, Duffau H, Lejeune J et al (2004) Temozolomide as initial treatment for adultswithlow-grade oligodendrogliomas or oligoastrocytomas and correlationwith chromosome 1p deletions. J ClinOncol 22:3133–3138

    Article  CAS  Google Scholar 

  13. Buckner JC, GesmeJr D, O’Fallon JR, Hammack JE, Stafford S, Brown PD et al (2003) Phase II trial of procarbazine, lomustineandvincristine as initial therapy for patients with low-grade oligodendrogliomaoroligoastrocytoma: efficacy and associations with chromosomal abnormalities. J ClinOncol 21:251–255

    Article  CAS  Google Scholar 

  14. Mason WP, Krol GS, DeAngelis LM (1996) Low-grade oligodendrogliomaresponds to chemotherapy. Neurology 46:203–207

    Article  CAS  PubMed  Google Scholar 

  15. Armstrong CL, Hunter JV, Ledakis GE, Cohen B, Tallent EM, Goldstein BH et al (2002) Late cognitive and radiographic changes relatedto radiotherapy: initial prospective findings. Neurology 59:40–48

    Article  CAS  PubMed  Google Scholar 

  16. Klein M, Heimans JJ, Aaronson NK, van der Ploeg HM, Grit J, Muller M et al (2002) Effect of radiotherapy and other treatment-relatedfactors on mid-term to long-term cognitive sequelae in low-gradegliomas: a comparative study. Lancet 360:1361–1368

    Article  CAS  PubMed  Google Scholar 

  17. Brown PD, Buckner JC, O’Fallon JR, Iturria NL, Brown CA, O’Neill BP et al (2003) Effects of radiotherapy on cognitive function inpatients with low-grade glioma measured by the folsteinminimentalstate examination. J ClinOncol 21:2519–2524

    Article  Google Scholar 

  18. Taphoorn MJ, Klein M (2004) Cognitive deficits in adult patientswithbrain tumors. Lancet Neurol 3:159–168

    Article  PubMed  Google Scholar 

  19. Laack NN, Brown PD, Ivnik RJ, Furth AF, Ballman KV, Hammack JE et al (2005) Cognitive function after radiotherapy forsupratentorial low-grade glioma: a North Central Cancer TreatmentGroup prospective study. Int J RadiatOncolBiolPhys 63:1175–1183

    Google Scholar 

  20. Douw L, Klein M, Fagel SS, van den Heuvel J, Taphoorn MJ, Aaronson NK et al (2009) Cognitive and radiological effects of radiotherapyin patients with low-grade glioma: long-term follow-up. Lancet Neurol 8:810–818

    Article  PubMed  Google Scholar 

  21. Bleeker FE, Lamba S, Leenstra S, Troost D, Vandertop WP, Hulsebos T et al (2009) IDH1 mutations at residue p. R132 (IDH1(R132)) occur frequently in high-grade gliomas but not in othersolid tumors. Hum Mutat 30:7–11

    Article  CAS  PubMed  Google Scholar 

  22. Yan H, Parsons DW, Jin G, McLendon R, Rasheed BA, Yuan W et al (2009) IDH1 and IDH2 mutations in gliomas. NEngl J Med 360:765–773

    Article  CAS  Google Scholar 

  23. Balss J, Meyer J, Mueller W, Korshunov A, Hartmann C, vonDeimling A (2008) Analysis of the IDH1 codon132 mutation in braintumors. Acta Neuropathol 116:597–602

    Article  CAS  PubMed  Google Scholar 

  24. Reifenberger J, Reifenberger G, Liu L, James CD, Wechsler W, Collins VP (1994) Olecular genetic analysis of oligodendroglialtumorsshows preferential allelic deletions on 19q and 1p. Am J Pathol 145:1175–1190

    PubMed Central  CAS  PubMed  Google Scholar 

  25. Benetkiewicz M, Idbaih A, Cousin PY, Boisselier B, Marie Y, Criniere E et al (2009) NOTCH2 is neither rearranged nor mutated in t(1;19) positive oligodendrogliomas. PLoS ONE 4(e4107):28

    Google Scholar 

  26. Cairncross JG, Ueki K, Zlatescu MC, Lisle DK, Finkelstein DM, Hammond RR et al (1998) Specific genetic predictors of chemotherapeuticresponse and survival in patients with anaplastic oligodendrogliomas. J Natl Cancer Inst 90:1473–1479

    Article  CAS  PubMed  Google Scholar 

  27. Cairncross G, Berkey B, Shaw E, Jenkins R, Scheithauer v, Brachman D et al (2006) Phase III trial of chemotherapy plus radiotherapycompared with radiotherapy alone for pure and mixed anaplasticoligodendroglioma: intergroup Radiation Therapy Oncology GroupTrial 9402. J ClinOncol 24:2707–2714

    Article  CAS  Google Scholar 

  28. van den Bent MJ, Carpentier AF, Brandes AA, Sanson M, Taphoorn MJ, Bernsen HJ et al (2006) Adjuvant procarbazine, lomustineand vincristine improves progression-free survival but not overallsurvival in newly diagnosed anaplastic oligodendrogliomas and oligoastrocytomas:arandomised European Organisation for Research and Treatment of Cancer phase III trial. J ClinOncol 24:2715–2722

    Article  Google Scholar 

  29. Hartmann C, Hentschel B, Tatagiba M, Schramm J, Schnell O, Seidel C, Stein R, Reifenberger G, Pietsch T, von Deimling A, Loeffler M, Weller M (2011) German Glioma Network. Molecular markers in low-grade gliomas: predictive or prognostic? Clin Cancer Res 17(13):4588–4599

    Article  CAS  PubMed  Google Scholar 

  30. Rollin N, Guyotat J, Streichenberger N, Honnorat J, Tran Minh VA, Cotton F (2006) Clinical relevance of diffusion and perfusion magnetic resonance imaging in assessing intra-axial brain tumors. Neuroradiology 48(3):150–159

    Article  CAS  PubMed  Google Scholar 

  31. Sugahara T, Korogi Y, Kochi M, Ikushima I, Hirai T, Okuda T, Shigematsu Y, Liang L, Ge Y, Ushio Y, Takahashi M (1998) Correlation of MR imaging-determined cerebral blood volumemaps with histologic and angiographic determination of vascularityofgliomas. AJR Am J Roentgenol 171:1479–1486

    Article  CAS  PubMed  Google Scholar 

  32. Danchaivijitr N, Waldman AD, Tozer DJ, Benton CE, BrasilCaseiras G, Tofts PS, Rees JH, Jager HR (2008) Low-gradegliomas: do changes in rCBV measurements at longitudinalperfusion-weighted MR imaging predict malignant transformation? Radiology 247:170–178

    Article  PubMed  Google Scholar 

  33. McKnight TR, Lamborn KR, Love TD, Berger MS, Chang S, Dillon WP, Bollen A, Nelson SJ (2007) Correlation of magneticresonance spectroscopic and growth characteristics within GradesII and III gliomas. J Neurosurg 106:660–666

    Article  CAS  PubMed  Google Scholar 

  34. Miller BL, Chang L, Booth R, Ernst T, Cornford M, Nikas D, McBride D, Jenden DJ (1996) In vivo 1H MRS choline: correlationwith in vitro chemistry/histology. Life Sci 58:1929–193536

    Article  CAS  PubMed  Google Scholar 

  35. Nafe R, Herminghaus S, Raab P, Wagner S, Pilatus U, Schneider B, Schlote W, Zanella F, Lanfermann H (2003) Preoperativeproton-MR spectroscopy of gliomas correlation with quantitativenuclear morphology in surgical specimen. J Neurooncol 63:233–245

    Article  PubMed  Google Scholar 

  36. Gupta RK, Cloughesy TF, Sinha U, Garakian J, Lazareff J, Rubino G, Rubino L, Becker DP, Vinters HV, Alger JR (2000) Relationships between choline magnetic resonance spectroscopy, apparent diffusion coefficient and quantitative histopathology inhuman glioma. J Neurooncol 50:215–226

    Article  CAS  PubMed  Google Scholar 

  37. Urenjak J, Williams SR, Gadian DG, Noble M (1993) Protonnuclear magnetic resonance spectroscopy unambiguously identifiesdifferent neural cell types. J Neurosci 13:981–989

    CAS  PubMed  Google Scholar 

  38. Guillevin R, Menuel C, Taillibert S, Capelle L, Costalat R, Abud L, Habas C, De Marco G, Hoang-Xuan K, Chiras J, Vallée JN (2011) Predicting the outcome of gradeIIgliomatreated with temozolomide using protonmagneticresonancespectroscopy. Br J Cancer 104(12):1854–1861

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  39. Guillevin R, Menuel C, Abud L, Costalat R, Capelle L, Hoang-Xuan K, Habas C, Chiras J, Vallée JN (2012) Proton MR spectroscopy in predicting the increase of perfusion MR imaging for WHOgradeIIgliomas. J Magn Reson Imaging 35(3):543–550

    Article  PubMed  Google Scholar 

  40. Hlaihel C, Guilloton L, Guyotat J, Streichenberger N, Honnorat J, Cotton F (2010) Predictivevalue of multimodalityMRI using conventional, perfusion, and spectroscopyMR in anaplastictransformation of low-gradeoligodendrogliomas. J Neurooncol 97(1):73–80

    Article  PubMed  Google Scholar 

  41. Galldiks N, Stoffels G, Ruge MI, Rapp M, Sabel M, Reifenberger G, Erdem Z, Shah NJ, Fink GR, Coenen HH, Langen KJ (2013) Role of O-(2-18F-fluoroethyl)-L-tyrosine PET as a diagnostic tool for detection of malignant progression in patients with low-grade glioma. J Nucl Med 54(12):2046–2054

  42. Kaloshi G, Benouaich-Amiel A, Diakite F, Taillibert S, Lejeune J, Laigle-Donadey F, Renard MA, Iraqi W, Idbaih A, Paris S, Capelle L, Duffau H, Cornu P, Simon JM, Mokhtari K, Polivka M, Omuro A, Carpentier A, Sanson M, Delattre JY, Hoang-Xuan K (2007) Temozolomide for low-grade gliomas: predictive impact of 1p/19q loss on response and outcome. Neurology 68(21):1831–1836

    Article  CAS  PubMed  Google Scholar 

  43. Mandonnet E, Delattre JY, Tanguy ML, Swanson KR, Carpentier AF, Duffau H, Cornu P, Van Effenterre R, Alvord EC Jr, Capelle L (2003) Continuous growth of mean tumor diameter in a subset of grade II gliomas. Ann Neurol 53(4):524–528

    Article  PubMed  Google Scholar 

  44. Pallud J, Taillandier L, Capelle L, Fontaine D, Peyre M, Ducray F, Duffau H, Mandonnet E (2012) Quantitative morphological magnetic resonance imaging follow-up of low-grade glioma: a plea for systematic measurement of growth rates. Neurosurgery 71:729–739 discussion 739-40

    Article  PubMed  Google Scholar 

  45. Gupta RK, Cloughesy TF, Sinha U, Garakian J, Lazareff J, Rubino G, Rubino L, Becker DP, Vinters HV, Alger JR (2000) Relationships between choline magnetic resonance spectroscopy, apparent diffusion coefficient and quantitative histopathology in human glioma. J Neurooncol 50(3):215–226

    Article  CAS  PubMed  Google Scholar 

  46. Pallud J, Blonski M, Mandonnet E, Audureau E, Fontaine D, Sanai N, Bauchet L, Peruzzi P, Frénay M, Colin P, Guillevin R, Bernier V, Baron MH, Guyotat J, Duffau H, Taillandier L, Capelle L (2013) Velocity of tumor spontaneous expansion predicts long-term outcomes for diffuse low-grade gliomas. NeuroOncol 15(5):595–606

  47. Lemasson B, Chenevert TL, Lawrence TS, Tsien C, Sundgren PC, Meyer CR, Junck L, Boes J, Galbán S, Rehemtulla A, Ross BD, Galbán CJ (2013) Impact of perfusion map analysis on early survival prediction accuracy in glioma patients. TranslOncol 6(6):766–774

    Google Scholar 

  48. Kunz M, Thon N, Eigenbrod S, Hartmann C, Egensperger R, Herms J, Geisler J, la Fougere C, Lutz J, Linn J, Kreth S, von Deimling A, Tonn JC, Kretzschmar HA, Pöpperl G, Kreth FW (2011) Hot spots in dynamic18FET-PET delineate malignant tumor parts within suspected WHO grade II gliomas. NeuroOncol 13(3):307–316

    CAS  Google Scholar 

  49. Wharton SB, Maltby E, Jellinek DA, Levy D, Atkey N, Hibberd S, Crimmins D, Stoeber K, Williams GH (2007) Subtypes of oligodendroglioma defined by 1p,19q deletions, differ in the proportion of apoptotic cells but not in replication-licensed non-proliferating cells. Acta Neuropathol 113(2):119–127

    Article  PubMed Central  CAS  PubMed  Google Scholar 

Download references

Acknowledgments

Dr. Stephane Sanchez (Biostatistics and Public Health Department of the Hospices Civils de Lyon) for his expertise and help on statistics.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to François Cotton.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Bourdillon, P., Hlaihel, C., Guyotat, J. et al. Prediction of anaplastic transformation in low-grade oligodendrogliomas based on magnetic resonance spectroscopy and 1p/19q codeletion status. J Neurooncol 122, 529–537 (2015). https://doi.org/10.1007/s11060-015-1737-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11060-015-1737-x

Keywords

Navigation