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Polysome profiling of a human glioblastoma reveals intratumoral heterogeneity

ABSTRACT: Glioblastoma (GBM) is one of the most aggressive cancers, with median survival of less than 2 years. Despite of considerable advance in molecular classification of GBMs, no improvements in therapy have been described. The scenario is further complicated by tumor heterogeneity and the relationship among genetic, transcriptional and functional findings. Classically, gene expression has been evaluated by steady-state mRNA, however, this does not take translational control into consideration, which contributes considerably to the composition of the proteome. In this study, we evaluated the transcriptomic and translatomic signature of a GBM obtained from a single patient focusing in tumor heterogeneity. In a sampling of eight fragments, we investigated the translation rates, mTORC1 and ERK1/2 pathways and identified both total and polysome associated mRNAs. An increased translation rate was observed in fragments with high-grade histological features. High-grade histology was also associated with the expression of genes related to extracellular matrix (ECM) and angiogenesis, in both transcriptomes and translatomes. However, genes associated with epithelial to mesenchymal transition and stress response, were observed only in translatomes from high-grade fragments. Overall, our results demonstrate that isolation of translated mRNA can be used to identify biomarkers and reveal previously unrecognized determinants of heterogeneity in GBMs.

ORGANISM(S): Homo sapiens

PROVIDER: GSE130220 | GEO | 2019/04/24

REPOSITORIES: GEO

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Project description:Glioblastoma multiforme (GBM) is the most prevalent type of adult brain tumor, and one of the deadliest tumors known to mankind. The genetic understanding of GBM is, however, limited, and the molecular mechanisms which facilitate GBM cell survival and growth within the tumor microenvironment are largely unknown. We applied digital karyotyping and single nucleotide polymorphism (SNP) arrays to screen for copy number changes in GBM samples and found that the most frequently amplified region is at chromosome 7p11.2. The high resolution of digital karyotyping and SNP arrays permits the precise delineation of amplicon boundaries and has enabled identification of the minimal region of amplification at 7p11.2, which contains two genes, EGFR and SEC61?. SEC61? encodes a subunit of a heterotrimeric protein channel located in the endoplasmic reticulum (ER). In addition to its high frequency of gene amplification in GBMs, SEC61? is also remarkably overexpressed in 77% of GBMs, but not in lower-grade gliomas. The siRNA-mediated knockdown of SEC61? expression in tumor cells led to growth suppression and apoptosis. Furthermore, we showed that pharmacological ER stress agents induce SEC61? expression in GBM cells. Together, these results indicate that aberrant expression of SEC61? serves significant roles in GBM cell survival, likely via a mechanism that is involved in the cytoprotective ER stress-adaptive response to the tumor microenvironment. hSETD1A was silenced in HCT116 cells using retrovirus harboring shRNA specifically against the hSETD1A gene. 10?g RNA was reverse transcribed to cDNA using the Applied Biosystems High Capacity cDNA Reverse Transcription kit according to the manufacturer’s instructions (Applied Biosystems). cDNA products were treated with 100ng RNaseA and then purified using the Qiagen PCR purification kit according to the manufacturer’s instructions. NimbleGen Human Gene Expression array was purchased from Roche Applied Sciences. cDNA samples were labeled, Cy3 hybridized, and processed at the FSU NimbleGen Microarray Facility at Florida State University.

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Polysome profiling of a human glioblastoma reveals intratumoral heterogeneity

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