High-resolution proteomic analysis of medulloblastoma clinical samples identifies therapy-resistant subgroups and MYC immunohistochemistry as a powerful outcome predictor

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Abstract

Background. While international consensus and the 2021 WHO classification recognize multiple molecular medulloblastoma subgroups, these are difficult to identify in clinical practice utilizing routine approaches. As a result, biology-driven risk stratification and therapy assignment for medulloblastoma remains a major clinical challenge. Here, we report mass spectrometry-based analysis of clinical samples for medulloblastoma subgroup discovery, highlighting a MYC-driven prognostic signature and MYC immunohistochemistry (IHC) as a clinically tractable method for improved risk stratification. Methods. We analyzed 56 formalin fixed paraffin embedded (FFPE) medulloblastoma samples by dataindependent acquisition mass spectrometry identifying a MYC proteome signature in therapy-resistant group 3 medulloblastoma. We validated MYC IHC prognostic and predictive value across 2 groups of 3/4 medulloblastoma clinical cohorts (n = 362) treated with standard therapies. Results. After the exclusion of WNT tumors, MYC IHC was an independent predictor of therapy resistance and death [HRs 23.6 and 3.23; 95% confidence interval (CI) 1.04–536.18 and 1.84–5.66; P = .047 and

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Delaidelli, A., Burwag, F., Ben-Neriah, S., Suk, Y., Shyp, T., Kosteniuk, S., … Sorensen, P. H. (2025). High-resolution proteomic analysis of medulloblastoma clinical samples identifies therapy-resistant subgroups and MYC immunohistochemistry as a powerful outcome predictor. Neuro-Oncology, 27(9), 2431–2444. https://doi.org/10.1093/neuonc/noaf046

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