Identification of low and very high-risk patients with non-WNT/non-SHH medulloblastoma by improved clinico-molecular stratification of the HIT2000 and I-HIT-MED cohorts.
Group 3/4
Medulloblastoma
Non-WNT/non-SHH
Risk stratification
Journal
Acta neuropathologica
ISSN: 1432-0533
Titre abrégé: Acta Neuropathol
Pays: Germany
ID NLM: 0412041
Informations de publication
Date de publication:
01 2023
01 2023
Historique:
received:
12
07
2022
accepted:
14
11
2022
revised:
14
11
2022
pubmed:
3
12
2022
medline:
5
1
2023
entrez:
2
12
2022
Statut:
ppublish
Résumé
Molecular groups of medulloblastoma (MB) are well established. Novel risk stratification parameters include Group 3/4 (non-WNT/non-SHH) methylation subgroups I-VIII or whole-chromosomal aberration (WCA) phenotypes. This study investigates the integration of clinical and molecular parameters to improve risk stratification of non-WNT/non-SHH MB. Non-WNT/non-SHH MB from the HIT2000 study and the HIT-MED registries were selected based on availability of DNA-methylation profiling data. MYC or MYCN amplification and WCA of chromosomes 7, 8, and 11 were inferred from methylation array-based copy number profiles. In total, 403 non-WNT/non-SHH MB were identified, 346/403 (86%) had a methylation class family Group 3/4 methylation score (classifier v11b6) ≥ 0.9, and 294/346 (73%) were included in the risk stratification modeling based on Group 3 or 4 score (v11b6) ≥ 0.8 and subgroup I-VIII score (mb_g34) ≥ 0.8. Group 3 MB (5y-PFS, survival estimation ± standard deviation: 41.4 ± 4.6%; 5y-OS: 48.8 ± 5.0%) showed poorer survival compared to Group 4 (5y-PFS: 68.2 ± 3.7%; 5y-OS: 84.8 ± 2.8%). Subgroups II (5y-PFS: 27.6 ± 8.2%) and III (5y-PFS: 37.5 ± 7.9%) showed the poorest and subgroup VI (5y-PFS: 76.6 ± 7.9%), VII (5y-PFS: 75.9 ± 7.2%), and VIII (5y-PFS: 66.6 ± 5.8%) the best survival. Multivariate analysis revealed subgroup in combination with WCA phenotype to best predict risk of progression and death. The integration of clinical (age, M and R status) and molecular (MYC/N, subgroup, WCA phenotype) variables identified a low-risk stratum with a 5y-PFS of 94 ± 5.7 and a very high-risk stratum with a 5y-PFS of 29 ± 6.1%. Validation in an international MB cohort confirmed the combined stratification scheme with 82.1 ± 6.0% 5y-PFS in the low and 47.5 ± 4.1% in very high-risk groups, and outperformed the clinical model. These newly identified clinico-molecular low-risk and very high-risk strata, accounting for 6%, and 21% of non-WNT/non-SHH MB patients, respectively, may improve future treatment stratification.
Identifiants
pubmed: 36459208
doi: 10.1007/s00401-022-02522-4
pii: 10.1007/s00401-022-02522-4
pmc: PMC9807480
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
97-112Informations de copyright
© 2022. The Author(s).
Références
Aryee MJ, Jaffe AE, Corrada-Bravo H, Ladd-Acosta C, Feinberg AP, Hansen KD et al (2014) Minfi: a flexible and comprehensive Bioconductor package for the analysis of Infinium DNA methylation microarrays. Bioinformatics 30:1363–1369. https://doi.org/10.1093/bioinformatics/btu049
doi: 10.1093/bioinformatics/btu049
Bailey S, André N, Gandola L, Massimino M, Rutkowski S, Clifford SC (2022) Clinical trials in high-risk medulloblastoma: evolution of the SIOP-Europe HR-MB trial. Cancers. https://doi.org/10.3390/cancers14020374
doi: 10.3390/cancers14020374
Capper D, Jones DTW, Sill M, Hovestadt V, Schrimpf D, Sturm D et al (2018) DNA methylation-based classification of central nervous system tumours. Nature 555:469–474. https://doi.org/10.1038/nature26000
doi: 10.1038/nature26000
Cavalli FMG, Remke M, Rampasek L, Peacock J, Shih DJH, Luu B et al (2017) Intertumoral heterogeneity within medulloblastoma subgroups. Cancer Cell 31:737-754.e736. https://doi.org/10.1016/j.ccell.2017.05.005
doi: 10.1016/j.ccell.2017.05.005
Crosier S, Hicks D, Schwalbe EC, Williamson D, Leigh Nicholson S, Smith A et al (2021) Advanced molecular pathology for rare tumours: a national feasibility study and model for centralised medulloblastoma diagnostics. Neuropathol Appl Neurobiol 47:736–747. https://doi.org/10.1111/nan.12716
doi: 10.1111/nan.12716
Delaidelli A, Dunham C, Santi M, Negri GL, Triscott J, Zheludkova O et al (2022) Clinically tractable outcome prediction of non-WNT/non-SHH medulloblastoma based on TPD52 IHC in a multicohort study. Clin Cancer Res 28:116–128. https://doi.org/10.1158/1078-0432.Ccr-21-2057
doi: 10.1158/1078-0432.Ccr-21-2057
Gajjar A, Robinson GW, Smith KS, Lin T, Merchant TE, Chintagumpala M et al (2021) Outcomes by clinical and molecular features in children with medulloblastoma treated with risk-adapted therapy: results of an international phase III trial (SJMB03). J Clin Oncol 39:822–835. https://doi.org/10.1200/jco.20.01372
doi: 10.1200/jco.20.01372
Gerds TA, Schumacher M (2006) Consistent estimation of the expected Brier score in general survival models with right-censored event times. Biom J 48:1029–1040. https://doi.org/10.1002/bimj.200610301
doi: 10.1002/bimj.200610301
Goschzik T, Schwalbe EC, Hicks D, Smith A, Zur Muehlen A, Figarella-Branger D et al (2018) Prognostic effect of whole chromosomal aberration signatures in standard-risk, non-WNT/non-SHH medulloblastoma: a retrospective, molecular analysis of the HIT-SIOP PNET 4 trial. Lancet Oncol 19:1602–1616. https://doi.org/10.1016/S1470-2045(18)30532-1
doi: 10.1016/S1470-2045(18)30532-1
Hovestadt V, Ayrault O, Swartling FJ, Robinson GW, Pfister SM, Northcott PA (2020) Medulloblastomics revisited: biological and clinical insights from thousands of patients. Nat Rev Cancer 20:42–56. https://doi.org/10.1038/s41568-019-0223-8
doi: 10.1038/s41568-019-0223-8
Hovestadt V, Remke M, Kool M, Pietsch T, Northcott PA, Fischer R et al (2013) Robust molecular subgrouping and copy-number profiling of medulloblastoma from small amounts of archival tumour material using high-density DNA methylation arrays. Acta Neuropathol 125:913–916. https://doi.org/10.1007/s00401-013-1126-5
doi: 10.1007/s00401-013-1126-5
Kool M, Koster J, Bunt J, Hasselt NE, Lakeman A, van Sluis P et al (2008) Integrated genomics identifies five medulloblastoma subtypes with distinct genetic profiles, pathway signatures and clinicopathological features. PLoS ONE 3:e3088. https://doi.org/10.1371/journal.pone.0003088
doi: 10.1371/journal.pone.0003088
Lannering B, Rutkowski S, Doz F, Pizer B, Gustafsson G, Navajas A et al (2012) Hyperfractionated versus conventional radiotherapy followed by chemotherapy in standard-risk medulloblastoma: results from the randomized multicenter HIT-SIOP PNET 4 trial. J Clin Oncol 30:3187–3193. https://doi.org/10.1200/JCO.2011.39.8719
doi: 10.1200/JCO.2011.39.8719
Louis DN, Perry A, Wesseling P, Brat DJ, Cree IA, Figarella-Branger D et al (2021) The 2021 WHO classification of tumors of the central nervous system: a summary. Neuro Oncol 23:1231–1251. https://doi.org/10.1093/neuonc/noab106
doi: 10.1093/neuonc/noab106
Maros ME, Capper D, Jones DTW, Hovestadt V, von Deimling A, Pfister SM (2020) Machine learning workflows to estimate class probabilities for precision cancer diagnostics on DNA methylation microarray data. Nat Protoc 15:479–512. https://doi.org/10.1038/s41596-019-0251-6
doi: 10.1038/s41596-019-0251-6
Michalski JM, Janss AJ, Vezina LG, Smith KS, Billups CA, Burger PC et al (2021) Children’s oncology group phase III trial of reduced-dose and reduced-volume radiotherapy with chemotherapy for newly diagnosed average-risk medulloblastoma. J Clin Oncol 39:2685–2697. https://doi.org/10.1200/jco.20.02730
doi: 10.1200/jco.20.02730
Mogensen UB, Ishwaran H, Gerds TA (2012) Evaluating random forests for survival analysis using prediction error curves. J Stat Softw 50:1–23. https://doi.org/10.18637/jss.v050.i11
doi: 10.18637/jss.v050.i11
Mynarek M, von Hoff K, Pietsch T, Ottensmeier H, Warmuth-Metz M, Bison B et al (2020) Nonmetastatic medulloblastoma of early childhood: results from the prospective clinical trial HIT-2000 and an extended validation cohort. J Clin Oncol. https://doi.org/10.1200/jco.19.03057
doi: 10.1200/jco.19.03057
Mynarek M, Milde T, Padovani L, Janssens GO, Kwiecien R, Mosseri V et al (2021) SIOP PNET5 MB trial: history and concept of a molecularly stratified clinical trial of risk-adapted therapies for standard-risk medulloblastoma. Cancers. https://doi.org/10.3390/cancers13236077
doi: 10.3390/cancers13236077
Northcott PA, Buchhalter I, Morrissy AS, Hovestadt V, Weischenfeldt J, Ehrenberger T et al (2017) The whole-genome landscape of medulloblastoma subtypes. Nature 547:311–317. https://doi.org/10.1038/nature22973
doi: 10.1038/nature22973
Pietsch T, Schmidt R, Remke M, Korshunov A, Hovestadt V, Jones DT et al (2014) Prognostic significance of clinical, histopathological, and molecular characteristics of medulloblastomas in the prospective HIT2000 multicenter clinical trial cohort. Acta Neuropathol 128:137–149. https://doi.org/10.1007/s00401-014-1276-0
doi: 10.1007/s00401-014-1276-0
Robinson GW, Rudneva VA, Buchhalter I, Billups CA, Waszak SM, Smith KS et al (2018) Risk-adapted therapy for young children with medulloblastoma (SJYC07): therapeutic and molecular outcomes from a multicentre, phase 2 trial. Lancet Oncol 19:768–784. https://doi.org/10.1016/S1470-2045(18)30204-3
doi: 10.1016/S1470-2045(18)30204-3
Schwalbe EC, Lindsey JC, Nakjang S, Crosier S, Smith AJ, Hicks D et al (2017) Novel molecular subgroups for clinical classification and outcome prediction in childhood medulloblastoma: a cohort study. Lancet Oncol 18:958–971. https://doi.org/10.1016/S1470-2045(17)30243-7
doi: 10.1016/S1470-2045(17)30243-7
Sharma T, Schwalbe EC, Williamson D, Sill M, Hovestadt V, Mynarek M et al (2019) Second-generation molecular subgrouping of medulloblastoma: an international meta-analysis of Group 3 and Group 4 subtypes. Acta Neuropathol 138:309–326. https://doi.org/10.1007/s00401-019-02020-0
doi: 10.1007/s00401-019-02020-0
Shih DJ, Northcott PA, Remke M, Korshunov A, Ramaswamy V, Kool M et al (2014) Cytogenetic prognostication within medulloblastoma subgroups. J Clin Oncol 32:886–896. https://doi.org/10.1200/jco.2013.50.9539
doi: 10.1200/jco.2013.50.9539
Taylor MD, Northcott PA, Korshunov A, Remke M, Cho YJ, Clifford SC et al (2012) Molecular subgroups of medulloblastoma: the current consensus. Acta Neuropathol 123:465–472. https://doi.org/10.1007/s00401-011-0922-z
doi: 10.1007/s00401-011-0922-z
von Bueren AO, Kortmann RD, von Hoff K, Friedrich C, Mynarek M, Muller K et al (2016) Treatment of children and adolescents with metastatic medulloblastoma and prognostic relevance of clinical and biologic parameters. J Clin Oncol 34:4151–4160
doi: 10.1200/JCO.2016.67.2428
WHO Classification of Tumours Editorial Board (2021) WHO Classification of Tumours: Central Nervous System Tumours, 5th edn. IARC, City