An integrated analysis of three medulloblastoma clinical trials refines risk-stratification approaches for reducing toxicity and improving survival
Kyle S Smith, Sandeep K Dhanda, Catherine A Billups, Edgar Sioson, Congyu Lu, Airen Zaldivar Peraza, Karishma Gangwani, Yimei Li, Qian Li, Tong Lin, Jeff M Michalski, Roger J Packer, James M Olson, Sarah E S Leary, Maryam Fouladi, Amar Gajjar, Xin Zhou, Arzu Onar-Thomas

TL;DR
This study combines data from three medulloblastoma trials to refine treatment risk groups, aiming to reduce toxicity while improving patient outcomes.
Contribution
The study introduces a novel risk-stratification schema based on integrated clinical and molecular data from multiple trials.
Findings
Adding carboplatin to high-dose craniospinal irradiation improved progression-free survival in specific G3/G4 subgroups.
Nine actionable risk-stratified groups were identified across WNT, SHH, and G3/G4 molecular subgroups.
A uniform treatment backbone is proposed to reduce unnecessary toxicity and guide future dose adjustments.
Abstract
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. 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. Eight hundred…
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Taxonomy
TopicsGlioma Diagnosis and Treatment · Mathematical Biology Tumor Growth · Statistical Methods in Clinical Trials
