Dataset Information

Proteogenomic analysis of glioblstoma reveals survival related patterns

ABSTRACT: In the current work, we present the first proteogenomic dataset of GBM clinical samples to date. We have assembled a cohort of 87 GBM patients of varying survival rates and performed MS-based proteomics analysis as well as RNA-seq in order to identify the molecular differences associated with survival and examine the contribution of each layer to GBM landscape. We show that each layer alone only partially reflects patient survival, but RNA-protein integration identifies clear patterns of layer-specific and layer-common processes specifically contributing to either short-term or long-term survival of patients. Furthermore, we compare our data to published single-cell RNA-seq of GBM tumors and evaluate the RNA-protein variability within single-cell based tumor subpopulations. We found that while all signatures of the four subpopulations tend to have high RNA-protein correlation, each signature is associated differently with survival. Altogether, these results highlight the potential of proteogenomics to further stratify heterogeneity in GBM tumors and identify processes contributing to poorer survival.

INSTRUMENT(S): Q Exactive HF

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Brain

DISEASE(S): Brain Glioblastoma Multiforme

SUBMITTER: Tamar Geiger

LAB HEAD: Tamar Geiger

PROVIDER: PXD018024 | Pride | 2021-04-16

REPOSITORIES: Pride

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			Action	DRS
	Fozzie_20170704_GY_GBM_T1_Rph1.raw	Raw
	Fozzie_20170704_GY_GBM_T1_Rph2.raw	Raw
	Fozzie_20170704_GY_GBM_T1_Rph3.raw	Raw
	Fozzie_20170704_GY_GBM_T1_Rph4.raw	Raw
	Fozzie_20170704_GY_GBM_T1_Rph5.raw	Raw

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Publications

Proteogenomics of glioblastoma associates molecular patterns with survival.

Yanovich-Arad Gali G Ofek Paula P Yeini Eilam E Mardamshina Mariya M Danilevsky Artem A Shomron Noam N Grossman Rachel R Satchi-Fainaro Ronit R Geiger Tamar T

Cell reports 20210301 9

Glioblastoma (GBM) is the most aggressive form of glioma, with poor prognosis exhibited by most patients, and a median survival time of less than 2 years. We assemble a cohort of 87 GBM patients whose survival ranges from less than 3 months and up to 10 years and perform both high-resolution mass spectrometry proteomics and RNA sequencing (RNA-seq). Integrative analysis of protein expression, RNA expression, and patient clinical information enables us to identify specific immune, metabolic, and ...[more]

PMID: 33657365

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