Abstract
Introduction
Recurrent glioblastoma (rGBM) prognosis is dismal. In the absence of effective adjuvant treatments for rGBM, re-resections remain prominent in our arsenal. This study evaluates the impact of reoperation on post-progression survival (PPS) considering rGBM genetic makeup.
Methods
To assess the genetic heterogeneity and treatment-related changes (TRC) roles in re-operated or medically managed rGBMs, we compiled demographic, clinical, histopathological, and next-generation genetic sequencing (NGS) characteristics of these tumors from 01/2005 to 10/2019. Survival data and reoperation were analyzed using conventional and random survival forest analysis (RSF).
Results
Patients harboring CDKN2A/B loss (p = 0.017) and KDR mutations (p = 0.031) had notably shorter survival. Reoperation or bevacizumab were associated with longer PPS (11.2 vs. 7.4-months, p = 0.006; 13.1 vs 6.2, p < 0.001). Reoperated patients were younger, had better performance status and greater initial resection. In 136/273 (49%) rGBMs undergoing re-operation, CDKN2A/B loss (p = 0.03) and KDR mutations (p = 0.02) were associated with shorter survival. In IDH-WT rGBMs with NGS data (n = 166), reoperation resulted in 7.0-month longer survival (p = 0.004) than those managed medically. This reoperation benefit was independently identified by RSF analysis. Stratification analysis revealed that EGFR-mutant, CDKN2A/B-mutant, NF1-WT, and TP53-WT rGBM IDH-WT subgroups benefit most from reoperation (p = 0.03). Lastly, whether or not TRC was prominent at re-operation does not have any significant impact on PPS (10.5 vs. 11.5-months, p = 0.77).
Conclusions
Maximal safe re-resection significantly lengthens PPS regardless of genetic makeup, but reoperations are especially beneficial for IDH-WT rGBMs with EGFR and CDKN2A/B mutations with TP53-WT, and NF1-WT. Histopathology at recurrence may be an imperfect gauge of disease severity at progression and the imaging progression may be more reflective of the prognosis.
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Data availability
The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.
Code availability
Not applicable.
References
Ostrom QT, Cioffi G, Gittleman H et al (2019) CBTRUS statistical report: primary brain and other central nervous system tumors diagnosed in the United States in 2012–2016. Neuro Oncol 21:v1–v100. https://doi.org/10.1093/neuonc/noz150
Brennan CW, Verhaak RGW, McKenna A et al (2013) The somatic genomic landscape of glioblastoma. Cell 155:462. https://doi.org/10.1016/j.cell.2013.09.034
Yan H, Parsons DW, Jin G et al (2009) IDH1 and IDH2 mutations in gliomas. N Engl J Med 360:765–773. https://doi.org/10.1056/NEJMoa0808710
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. https://doi.org/10.1056/NEJMoa043330
Wen PY, Weller M, Lee EQ et al (2020) Glioblastoma in adults: a Society for Neuro-Oncology (SNO) and European Society of Neuro-Oncology (EANO) consensus review on current management and future directions. Neuro Oncol. https://doi.org/10.1093/neuonc/noaa106
Louis DN, Ohgaki H, Wiestler OD et al (2007) The 2007 WHO classification of tumours of the central nervous system. Acta Neuropathol 114:97–109. https://doi.org/10.1007/s00401-007-0243-4
Louis DN, Perry A, Reifenberger G et al (2016) The 2016 World Health Organization classification of tumors of the central nervous system: a summary. Acta Neuropathol 131:803–820. https://doi.org/10.1007/s00401-016-1545-1
Esquenazi Y, Friedman E, Liu Z et al (2017) The survival advantage of “supratotal” resection of glioblastoma using selective cortical mapping and the subpial technique. Neurosurgery 81:275–288. https://doi.org/10.1093/neuros/nyw174
Wen PY, Macdonald DR, Reardon DA et al (2010) Updated response assessment criteria for high-grade gliomas: response assessment in neuro-oncology working group. J Clin Oncol 28:1963–1972. https://doi.org/10.1200/JCO.2009.26.3541
Brat DJ, Aldape K, Colman H et al (2018) cIMPACT-NOW update 3: recommended diagnostic criteria for “Diffuse astrocytic glioma, IDH-wildtype, with molecular features of glioblastoma, WHO grade IV.” Acta Neuropathol 136:805–810. https://doi.org/10.1007/s00401-018-1913-0
Frampton GM, Fichtenholtz A, Otto GA et al (2013) Development and validation of a clinical cancer genomic profiling test based on massively parallel DNA sequencing. Nat Biotechnol 31:1023–1031. https://doi.org/10.1038/nbt.2696
Dono A, Ramesh AV, Wang E et al (2021) The role of RB1 alteration and 4q12 amplification in IDH-WT glioblastoma. Neuro-Oncol Adv. https://doi.org/10.1093/noajnl/vdab050
Dono A, Mitra S, Shah M et al (2021) PTEN mutations predict benefit from tumor treating fields (TTFields) therapy in patients with recurrent glioblastoma. J Neurooncol 153:153–160. https://doi.org/10.1007/s11060-021-03755-1
Chaichana KL, Zadnik P, Weingart JD et al (2013) Multiple resections for patients with glioblastoma: prolonging survival. J Neurosurg 118:812–820. https://doi.org/10.3171/2012.9.JNS1277
Chen YR, Sole J, Ugiliweneza B et al (2018) National trends for reoperation in older patients with glioblastoma. World Neurosurg 113:e179–e189. https://doi.org/10.1016/j.wneu.2018.01.211
Delgado-Fernandez J, Garcia-Pallero MÁ, Blasco G et al (2017) Usefulness of reintervention in recurrent glioblastoma: an indispensable weapon for increasing survival. World Neurosurg 108:610–617. https://doi.org/10.1016/j.wneu.2017.09.062
Clarke JL, Ennis MM, Yung WKA et al (2011) Is surgery at progression a prognostic marker for improved 6-month progression-free survival or overall survival for patients with recurrent glioblastoma? Neuro Oncol 13:1118–1124. https://doi.org/10.1093/neuonc/nor110
Ortega A, Sarmiento JM, Ly D et al (2016) Multiple resections and survival of recurrent glioblastoma patients in the temozolomide era. J Clin Neurosci 24:105–111. https://doi.org/10.1016/j.jocn.2015.05.047
Nava F, Tramacere I, Fittipaldo A et al (2014) Survival effect of first- and second-line treatments for patients with primary glioblastoma: a cohort study from a prospective registry, 1997–2010. Neuro Oncol 16:719–727. https://doi.org/10.1093/neuonc/not316
Wann A, Tully PA, Barnes EH et al (2018) Outcomes after second surgery for recurrent glioblastoma: a retrospective case–control study. J Neurooncol 137:409–415. https://doi.org/10.1007/s11060-017-2731-2
Zanello M, Roux A, Ursu R et al (2017) Recurrent glioblastomas in the elderly after maximal first-line treatment: does preserved overall condition warrant a maximal second-line treatment? J Neurooncol 135:285–297. https://doi.org/10.1007/s11060-017-2573-y
Goldman DA, Hovinga K, Reiner AS et al (2018) The relationship between repeat resection and overall survival in patients with glioblastoma: a time-dependent analysis. J Neurosurg 129:1231–1239. https://doi.org/10.3171/2017.6.JNS17393
Zhao Y-H, Wang Z-F, Pan Z-Y et al (2019) A meta-analysis of survival outcomes following reoperation in recurrent glioblastoma: time to consider the timing of reoperation. Front Neurol 10:1–10. https://doi.org/10.3389/fneur.2019.00286
Barker FC, Chang SM, Gutin PH et al (1998) Survival and functional status after resection of recurrent glioblastoma multiforme. Neurosurgery 42:709–723. https://doi.org/10.1097/00006123-199804000-00013
Chen MW, Morsy AA, Liang S, Ng WH (2016) Re-do craniotomy for recurrent grade IV glioblastomas: impact and outcomes from the National Neuroscience Institute Singapore. World Neurosurg 87:439–445. https://doi.org/10.1016/j.wneu.2015.10.051
Tully PA, Gogos AJ, Love C et al (2016) Reoperation for recurrent glioblastoma and its association with survival benefit. Neurosurgery 79:678–689. https://doi.org/10.1227/NEU.0000000000001338
Azoulay M, Santos F, Shenouda G et al (2017) Benefit of re-operation and salvage therapies for recurrent glioblastoma multiforme: results from a single institution. J Neurooncol 132:419–426. https://doi.org/10.1007/s11060-017-2383-2
Franceschi E, Bartolotti M, Tosoni A et al (2015) The effect of re-operation on survival in patients with recurrent glioblastoma. Anticancer Res 35:1743–1748
Ringel F, Pape H, Sabel M et al (2016) Clinical benefit from resection of recurrent glioblastomas: results of a multicenter study including 503 patients with recurrent glioblastomas undergoing surgical resection. Neuro Oncol 18:96–104. https://doi.org/10.1093/neuonc/nov145
Suchorska B, Weller M, Tabatabai G et al (2016) Complete resection of contrast-enhancing tumor volume is associated with improved survival in recurrent glioblastoma—results from the DIRECTOR trial. Neuro Oncol 18:549–556. https://doi.org/10.1093/neuonc/nov326
Jackson C, Choi J, Khalafallah AM et al (2020) A systematic review and meta-analysis of supratotal versus gross total resection for glioblastoma. J Neurooncol. https://doi.org/10.1007/s11060-020-03556-y
Chang SM, Parney IF, McDermott M et al (2003) Perioperative complications and neurological outcomes of first and second craniotomies among patients enrolled in the Glioma Outcome Project. J Neurosurg 98:1175–1181. https://doi.org/10.3171/jns.2003.98.6.1175
Quick J, Gessler F, Dützmann S et al (2014) Benefit of tumor resection for recurrent glioblastoma. J Neurooncol 117:365–372. https://doi.org/10.1007/s11060-014-1397-2
Mukherjee S, Wood J, Liaquat I et al (2020) Craniotomy for recurrent glioblastoma: is it justified? A comparative cohort study with outcomes over 10 years. Clin Neurol Neurosurg 188:105568. https://doi.org/10.1016/j.clineuro.2019.105568
Ali FS, Arevalo O, Zorofchian S et al (2019) Cerebral radiation necrosis: incidence, pathogenesis, diagnostic challenges, and future opportunities. Curr Oncol Rep. https://doi.org/10.1007/s11912-019-0818-y
Press RH, Zhong J, Gurbani SS et al (2019) The role of standard and advanced imaging for the management of brain malignancies from a radiation oncology standpoint. Neurosurgery 85:165–179. https://doi.org/10.1093/neuros/nyy461
Molinaro AM, Hervey-Jumper S, Morshed RA et al (2020) Association of maximal extent of resection of contrast-enhanced and non-contrast-enhanced tumor with survival within molecular subgroups of patients with newly diagnosed glioblastoma. JAMA Oncol 94143:495–503. https://doi.org/10.1001/jamaoncol.2019.6143
Brat DJ, Aldape K, Colman H et al (2020) cIMPACT-NOW update 5: recommended grading criteria and terminologies for IDH-mutant astrocytomas. Acta Neuropathol 139:603–608. https://doi.org/10.1007/s00401-020-02127-9
Yan Y, Takayasu T, Hines G et al (2020) Landscape of genomic alterations in IDH wild-type glioblastoma identifies PI3K as a favorable prognostic factor. JCO Precision Oncol 4:575–584
Dono A, Wang E, Lopez V et al (2020) Molecular characteristics and clinical features of multifocal glioblastoma. J Neurooncol. https://doi.org/10.1007/s11060-020-03539-z
Lassman AB, Pugh SL, Wang TJC et al (2019) A randomized, double-blind, placebo controlled phase 3 trial of depatuxizumab mafodotin (ABT-414) in epidermal growth factor receptor (EGFR) amplified (AMP) newly diagnosed glioblastomas (nGBM) in SNO 2019 ABSTRACTS. Neuro Oncol. https://doi.org/10.1093/neuonc/noz175
Neftel C, Laffy J, Filbin MG et al (2019) An integrative model of cellular states, plasticity, and genetics for glioblastoma. Cell 178:835-849.e21. https://doi.org/10.1016/j.cell.2019.06.024
Burford A, Little SE, Jury A et al (2013) Distinct phenotypic differences associated with differential amplification of receptor tyrosine kinase genes at 4q12 in glioblastoma. PLoS ONE. https://doi.org/10.1371/journal.pone.0071777
Barthel FP, Johnson KC, Varn FS et al (2019) Longitudinal molecular trajectories of diffuse glioma in adults. Nature 576:112–120. https://doi.org/10.1038/s41586-019-1775-1
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Research by NT is gunned by NINDS, NIDCD, UT STARS, and Medtronic. None of this funding is relevant to this work nor influenced its content. Research reported in this publication was supported by the National Cancer Institute of the National Institutes of Health under Award Number K08CA241651 (LYB). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
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Study design: AD, NT; data collection AD, EH, TT; data analysis and visualization: PZ; data interpretation: AD, PZ, NT; manuscript preparation: AD, PZ, NT; manuscript critical review: AD, PZ, AIB, SH, JJZ, MBB, LYB, DHK, YE, NT; final manuscript approval: all authors.
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Dono, A., Zhu, P., Holmes, E. et al. Impacts of genotypic variants on survival following reoperation for recurrent glioblastoma. J Neurooncol 156, 353–363 (2022). https://doi.org/10.1007/s11060-021-03917-1
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DOI: https://doi.org/10.1007/s11060-021-03917-1