Quantitative analysis of signaling networks across differentially embedded tumors highlights interpatient heterogeneity in human glioblastoma.

TitleQuantitative analysis of signaling networks across differentially embedded tumors highlights interpatient heterogeneity in human glioblastoma.
Publication TypeJournal Article
Year of Publication2014
AuthorsJohnson, H, White, FM
JournalJ Proteome Res
Volume13
Issue11
Pagination4581-93
Date Published2014 Nov 7
ISSN1535-3907
KeywordsFreezing, Gene Expression Regulation, Neoplastic, Glioblastoma, Humans, Immunoblotting, Mass Spectrometry, Nitrogen, Phosphorylation, Proteomics, Signal Transduction, Specimen Handling, Tissue Embedding
Abstract

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

DOI10.1021/pr500418w
Alternate JournalJ. Proteome Res.
PubMed ID24927040
PubMed Central IDPMC4227552
Grant ListP30 CA014051 / CA / NCI NIH HHS / United States
P30 ES002109 / ES / NIEHS NIH HHS / United States
R01 CA096504 / CA / NCI NIH HHS / United States
U24 CA159988 / CA / NCI NIH HHS / United States
U24CA159988 / CA / NCI NIH HHS / United States
U54 CA112967 / CA / NCI NIH HHS / United States
U54 CA112967 / CA / NCI NIH HHS / United States