Multi-omics analysis of primary glioblastoma cell lines shows recapitulation of pivotal molecular features of parental tumors.

ABSTRACT:

Background

Glioblastoma (GBM) is the deadliest primary brain cancer in adults. Emerging innovative therapies hold promise for personalized cancer treatment. Improving therapeutic options depends on research relying on relevant preclinical models. In this line we have established in the setting of the GlioTex project (GBM and Experimental Therapeutics) a GBM patient-derived cell line (GBM-PDCL) library. A multi-omic approach was used to determine the molecular landscape of PDCL and the extent to which they represent GBM tumors.

Methods

Single nucleotide polymorphism array, expression arrays, exome sequencing, and RNA sequencing were used to measure and compare the molecular landscapes of 20 samples representing 10 human GBM tumors and paired GBM-PDCLs.

Results

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SUBMITTER: Rosenberg S 

PROVIDER: S-EPMC5463853 | biostudies-literature | 2017 Feb

REPOSITORIES: biostudies-literature