Kyle S Smith, Sandeep Kumar Dhanda, Catherine A. Billups, Edgar Sioson, Congyu Lu, Airen Zaldívar Peraza, Karishma Gangwani, Yimei Li, Qian Li, Tong Lin, Jeff M. Michalski, Roger J. Packer, James M. Olson, Sarah Leary, Maryam Fouladi, Amar Gajjar, Xin Zhou, Arzu Onar‐Thomas, Paul A. Northcott, Giles Robinson
BACKGROUND: The identification of clinical and molecular heterogeneity in medulloblastoma has produced risk-stratified therapy, but establishing the most effective yet least toxic regimens has remained elusive owing to numerous treatment options. To improve risk-stratification, we performed an integrated analysis from three clinical trials. METHODS: Medulloblastoma patients from ACNS0331/NCT00085735, ACNS0332/NCT00392327, and SJMB03/NCT00085202 were included if they had methylation profiling. Molecular groups [WNT, SHH, Group 3 (G3), and Group 4 (G4)], subgroups, and copy number variations were procured from methylation profiles and mutations from next-generation sequencing. Data was assembled into an interactive portal to capture patient characteristics. Cross-trial comparisons, univariable, and multivariable analyses were conducted and used to derive a risk-stratification schema. RESULTS: Eight hundred ninety-eight patients (WNT = 131, SHH = 151, G3 = 220, G4 = 396) were included. Progression-free-survival (PFS) distributions among analogous cross-trial cohorts were not different, demonstrating no survival advantage of any one therapy over another. The addition of carboplatin to high-dose craniospinal irradiation (HDCSI) containing regimen was selectively superior in PFS in G3/G4 subgroup 3 (P = 0.048) and G3/G4 subgroup 2 (P = 0.035) to HDCSI regimens without carboplatin. Nine actionable risk-stratified groups were identified consisting of 2 WNT groups (low, high-risk), 3 SHH groups (low-, average-, very-high-risk), and 4 G3/G4 groups (low-, average-, high-, and very-high-risk). CONCLUSIONS: Our integrated cross-trial analysis suggests toxicity can be reduced by eliminating disproportionate differences in therapy in favor of a more uniform treatment backbone. Moreover, we propose and model a risk-classification system that identifies the most appropriate cohorts on which to trial significant dose reductions in craniospinal irradiation or select treatment intensifications.