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Published in: Acta Neurochirurgica 12/2019

01-12-2019 | Meningioma | Editorial (by Invitation) - Tumor - Meningioma

‘Meningiomics’—an integration of data on the patient, tumour, extent of resection and molecular pathology to optimise the management and follow-up for meningiomas

Author: Michael D. Jenkinson

Published in: Acta Neurochirurgica | Issue 12/2019

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Excerpt

Champeaux and colleagues report on the outcomes from a single-institution study of 505 patients with WHO grade I cranial meningiomas who underwent treatment between 2003 and 2017. During the median follow-up period of 6.2 years (IQR, 2.8–9.5), 74 patients had meningioma recurrence or a meningioma-related death, whilst 84 patients died from other causes. The median age at death was 71.7 years (IQR, 59.6–78.6), and eight patients died within 1 month of surgery, and 29 within a year. Twenty-five patients had early recurrence requiring re-operating at a median 1.3 years (IQR, 0.2–2.6) after the first surgery. Eleven patients had progression to grade II or III meningioma. The authors performed a competing risk analysis, which takes into consideration that when death occurs due to other causes (e.g. myocardial infarction), it prevents the observation of the events of interest—namely meningioma recurrence or meningioma-related death. Based on analysis of their data, the absolute risk of WHO grade I meningioma recurrence or death is 16.2% at 5 years and 24.4% at 10 years. As expected, the factors for meningioma-related death or progression were venous sinus invasion, subtotal resection (defined as Simpson grade 4 or 5), and growth of residual tumour. The authors comment that this data can be used to rationalise follow-up and propose that when gross total resection (Simpson grades 1–3) is achieved, imaging surveillance for 3 years for convexity meningioma and 6 years for all other locations is required. When a subtotal resection is performed, then 8 years of imaging follow-up is sufficient if there is no evidence of meningioma progression. …
Literature
4.
go back to reference Hernesniemi J, Niemela M, Dashti R, Karatas A, Kivipelto L, Ishii K, Rinne J, Ronkainen A, Pelaez JG, Koivisto T, Kivisaari R, Shen H, Lehecka M, Frosen J, Piippo A, Avci E, Jaaskelainen JE (2006) Principles of microneurosurgery for safe and fast surgery. Surg Technol Int 15:305–310PubMed Hernesniemi J, Niemela M, Dashti R, Karatas A, Kivipelto L, Ishii K, Rinne J, Ronkainen A, Pelaez JG, Koivisto T, Kivisaari R, Shen H, Lehecka M, Frosen J, Piippo A, Avci E, Jaaskelainen JE (2006) Principles of microneurosurgery for safe and fast surgery. Surg Technol Int 15:305–310PubMed
5.
go back to reference Jenkinson MD, Javadpour M, Haylock BJ, Young B, Gillard H, Vinten J, Bulbeck H, Das K, Farrell M, Looby S, Hickey H, Preusser M, Mallucci CL, Hughes D, Gamble C, Weber DC (2015) The ROAM/EORTC-1308 trial: radiation versus observation following surgical resection of atypical meningioma: study protocol for a randomised controlled trial. Trials 16:519. https://doi.org/10.1186/s13063-015-1040-3 CrossRefPubMedPubMedCentral Jenkinson MD, Javadpour M, Haylock BJ, Young B, Gillard H, Vinten J, Bulbeck H, Das K, Farrell M, Looby S, Hickey H, Preusser M, Mallucci CL, Hughes D, Gamble C, Weber DC (2015) The ROAM/EORTC-1308 trial: radiation versus observation following surgical resection of atypical meningioma: study protocol for a randomised controlled trial. Trials 16:519. https://​doi.​org/​10.​1186/​s13063-015-1040-3 CrossRefPubMedPubMedCentral
6.
go back to reference Nassiri F, Mamatjan Y, Suppiah S, Badhiwala JH, Mansouri S, Karimi S, Saarela O, Poisson L, Gepfner-Tuma I, Schittenhelm J, Ng HK, Noushmehr H, Harter P, Baumgarten P, Weller M, Preusser M, Herold-Mende C, Tatagiba M, Tabatabai G, Sahm F, von Deimling A, Zadeh G, Aldape KD, International Consortium on M (2019) DNA methylation profiling to predict recurrence risk in meningioma: development and validation of a nomogram to optimize clinical management. Neuro-oncology. https://doi.org/10.1093/neuonc/noz061 CrossRef Nassiri F, Mamatjan Y, Suppiah S, Badhiwala JH, Mansouri S, Karimi S, Saarela O, Poisson L, Gepfner-Tuma I, Schittenhelm J, Ng HK, Noushmehr H, Harter P, Baumgarten P, Weller M, Preusser M, Herold-Mende C, Tatagiba M, Tabatabai G, Sahm F, von Deimling A, Zadeh G, Aldape KD, International Consortium on M (2019) DNA methylation profiling to predict recurrence risk in meningioma: development and validation of a nomogram to optimize clinical management. Neuro-oncology. https://​doi.​org/​10.​1093/​neuonc/​noz061 CrossRef
9.
go back to reference Sahm F, Schrimpf D, Stichel D, Jones DTW, Hielscher T, Schefzyk S, Okonechnikov K, Koelsche C, Reuss DE, Capper D, Sturm D, Wirsching HG, Berghoff AS, Baumgarten P, Kratz A, Huang K, Wefers AK, Hovestadt V, Sill M, Ellis HP, Kurian KM, Okuducu AF, Jungk C, Drueschler K, Schick M, Bewerunge-Hudler M, Mawrin C, Seiz-Rosenhagen M, Ketter R, Simon M, Westphal M, Lamszus K, Becker A, Koch A, Schittenhelm J, Rushing EJ, Collins VP, Brehmer S, Chavez L, Platten M, Hanggi D, Unterberg A, Paulus W, Wick W, Pfister SM, Mittelbronn M, Preusser M, Herold-Mende C, Weller M, von Deimling A (2017) DNA methylation-based classification and grading system for meningioma: a multicentre, retrospective analysis. Lancet Oncol 18:682–694. https://doi.org/10.1016/S1470-2045(17)30155-9 CrossRefPubMed Sahm F, Schrimpf D, Stichel D, Jones DTW, Hielscher T, Schefzyk S, Okonechnikov K, Koelsche C, Reuss DE, Capper D, Sturm D, Wirsching HG, Berghoff AS, Baumgarten P, Kratz A, Huang K, Wefers AK, Hovestadt V, Sill M, Ellis HP, Kurian KM, Okuducu AF, Jungk C, Drueschler K, Schick M, Bewerunge-Hudler M, Mawrin C, Seiz-Rosenhagen M, Ketter R, Simon M, Westphal M, Lamszus K, Becker A, Koch A, Schittenhelm J, Rushing EJ, Collins VP, Brehmer S, Chavez L, Platten M, Hanggi D, Unterberg A, Paulus W, Wick W, Pfister SM, Mittelbronn M, Preusser M, Herold-Mende C, Weller M, von Deimling A (2017) DNA methylation-based classification and grading system for meningioma: a multicentre, retrospective analysis. Lancet Oncol 18:682–694. https://​doi.​org/​10.​1016/​S1470-2045(17)30155-9 CrossRefPubMed
10.
go back to reference Vasudevan HN, Braunstein SE, Phillips JJ, Pekmezci M, Tomlin BA, Wu A, Reis GF, Magill ST, Zhang J, Feng FY, Nicholaides T, Chang SM, Sneed PK, McDermott MW, Berger MS, Perry A, Raleigh DR (2018) Comprehensive molecular profiling identifies FOXM1 as a key transcription factor for meningioma proliferation. Cell Rep 22:3672–3683. https://doi.org/10.1016/j.celrep.2018.03.013 CrossRefPubMed Vasudevan HN, Braunstein SE, Phillips JJ, Pekmezci M, Tomlin BA, Wu A, Reis GF, Magill ST, Zhang J, Feng FY, Nicholaides T, Chang SM, Sneed PK, McDermott MW, Berger MS, Perry A, Raleigh DR (2018) Comprehensive molecular profiling identifies FOXM1 as a key transcription factor for meningioma proliferation. Cell Rep 22:3672–3683. https://​doi.​org/​10.​1016/​j.​celrep.​2018.​03.​013 CrossRefPubMed
Metadata
Title
‘Meningiomics’—an integration of data on the patient, tumour, extent of resection and molecular pathology to optimise the management and follow-up for meningiomas
Author
Michael D. Jenkinson
Publication date
01-12-2019
Publisher
Springer Vienna
Published in
Acta Neurochirurgica / Issue 12/2019
Print ISSN: 0001-6268
Electronic ISSN: 0942-0940
DOI
https://doi.org/10.1007/s00701-019-04102-0

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