Proteomics

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

ABSTRACT: While international consensus and the 2021 WHO classification recognize multiple molecular medulloblastoma subgroups, these are difficult to identify in current clinical practice. As a result, biology driven risk stratification and therapy assignment for medulloblastoma constitutes a major challenge. Here, we report mass spectrometry analysis of clinical samples as a method for medulloblastoma subgroup discovery and identify MYC immunohistochemistry (IHC) as a clinically tractable method for improved risk stratification.

INSTRUMENT(S):

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Brain

SUBMITTER: Christopher Hughes  

LAB HEAD: Christopher Hughes

PROVIDER: PXD051319 | Pride | 2025-03-06

REPOSITORIES: Pride

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Dataset's files

Source:
Action DRS
2024-02-21-reviewed-UP000005640-spikein.fasta Fasta
20240124_FaresMMFFPECohort_1B2I_dia_1.raw Raw
20240124_FaresMMFFPECohort_1B2I_dia_2.raw Raw
20240124_FaresMMFFPECohort_1B2I_dia_3.raw Raw
20240124_FaresMMFFPECohort_3H1C_dia_1.raw Raw
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Publications

<h4>Background</h4>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 signatu  ...[more]

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