Quantitative Analysis of Signaling Networks across Differentially Embedded Tumors Highlights Interpatient Heterogeneity in Human Glioblastoma

摘要: Glioblastoma multiforme (GBM) is the most aggressive malignant primary brain tumor, with a dismal mean survival even current standard of care. Although in vitro cell systems can provide mechanistic insight into regulatory networks governing GBM proliferation and migration, clinical samples more physiologically relevant view oncogenic signaling networks. However, are not widely available may be embedded for histopathologic analysis. With goal accurately identifying activated tumor samples, we investigated impact embedding optimal cutting temperature (OCT) compound followed by flash freezing LN2 vs immediate (iFF) on protein expression phosphorylation-mediated Quantitative proteomic phosphoproteomic analysis 8 pairs specimens revealed minimal different sample processing strategies highlighted large interpatient heterogeneity present these tumors. Correlation analyses differentially processed sections identified selected tumors differential transcription, translation, degradation associated proteins. This study demonstrates capability quantitative mass spectrometry identification vivo from human that were either OCT-embedded or immediately flash-frozen.