Integrated Molecular-Morphologic Meningioma Classification: A Multicenter Retrospective Analysis, Retrospectively and Prospectively Validated.

Purpose: Meningiomas are the most frequent primary intracranial tumors. Patient outcome varies widely from benign to highly aggressive, ultimately fatal courses. Reliable identification of risk of progression for individual patients is of pivotal importance. However, only biomarkers for highly aggressive tumors are established ( CDKN2A/B and TERT ), whereas no molecularly based stratification exists for the broad spectrum of patients with low- and intermediate-risk meningioma.
Methods: DNA methylation data and copy-number information were generated for 3,031 meningiomas (2,868 patients), and mutation data for 858 samples. DNA methylation subgroups, copy-number variations (CNVs), mutations, and WHO grading were analyzed. Prediction power for outcome was assessed in a retrospective cohort of 514 patients, validated on a retrospective cohort of 184, and on a prospective cohort of 287 multicenter cases.
Results: Both CNV- and methylation family-based subgrouping independently resulted in increased prediction accuracy of risk of recurrence compared with the WHO classification (c-indexes WHO 2016, CNV, and methylation family 0.699, 0.706, and 0.721, respectively). Merging all risk stratification approaches into an integrated molecular-morphologic score resulted in further substantial increase in accuracy (c-index 0.744). This integrated score consistently provided superior accuracy in all three cohorts, significantly outperforming WHO grading (c-index difference P = .005). Besides the overall stratification advantage, the integrated score separates more precisely for risk of progression at the diagnostically challenging interface of WHO grade 1 and grade 2 tumors (hazard ratio 4.34 [2.48-7.57] and 3.34 [1.28-8.72] retrospective and prospective validation cohorts, respectively).
Conclusion: Merging these layers of histologic and molecular data into an integrated, three-tiered score significantly improves the precision in meningioma stratification. Implementation into diagnostic routine informs clinical decision making for patients with meningioma on the basis of robust outcome prediction.
Competing Interests: Elisabeth J. RushingConsulting or Advisory Role: Bayer Suisse Stefan M. PfisterResearch Funding: Lilly, Bayer, Roche, PharmaMar, PfizerPatents, Royalties, Other Intellectual Property: patent on using DNA methylation profiling for tumor classification Michael WellerHonoraria: Merck Serono, MSD, Philogen, Nerviano Medical Sciences, Adastra PharmaceuticalsConsulting or Advisory Role: Bristol Myers Squibb, Orbus Therapeutics, Tocagen, Karyopharm Therapeutics, Ymabs Therapeutics Inc, MedacResearch Funding: Merck Serono, Novocure, Merck Sharp & Dohme, Apogenix, Quercegen Pharmaceuticals Matthias PreusserHonoraria: Roche, GlaxoSmithKline, Bayer, Bristol Myers Squibb, Novartis, Gerson Lehrman Group, CMC Contrast, Mundipharma, BMJ Journals, MedMedia, AstraZeneca, AbbVie, Lilly, MEDahead, Daiichi Sankyo, Sanofi, Merck Sharp & Dome, Tocagen, Adastra PharmaceuticalsConsulting or Advisory Role: Roche, Bristol Myers Squibb, Novartis, Gerson Lehrman Group, CMC Contrast, GlaxoSmithKline, Mundipharma, AbbVieResearch Funding: Roche, GlaxoSmithKline, Boehringer Ingelheim, Merck Sharp & Dohme, Bristol Myers Squibb, Daiichi Sankyo, AbbVieTravel, Accommodations, Expenses: Roche, GlaxoSmithKline, Bristol Myers Squibb, MSD, Mundipharma Andreas von DeimlingConsulting or Advisory Role: Bristol Myers SquibbResearch Funding: BayerPatents, Royalties, Other Intellectual Property: Patent for IDH1R132H antibody H09 administered by the German Cancer Center (DKFZ), Patent for BRAFV600E antibody VE1 administered by the German Cancer Center (DKFZ), DNA methylation–based method for classifying tumor species EP16710700Travel, Accommodations, Expenses: Roche Felix SahmHonoraria: Illumina, AbbVie, BayerNo other potential conflicts of interest were reported.