Abstract 40P
Background
Despite advances in understanding the molecular basis of high-grade gliomas, glioblastoma (GBM) still represents a challenge in terms of therapy. Beside tumor heterogeneity, one of the features hindering the efficacy of treatments is the highly infiltrative nature of glioma cells that, by hydrodynamic cellular volume changes,invade brain parenchyma along narrow extracellular routes. GSC have been reported as the putative population responsible for GBM resistance to treatments and recurrences. Aim of the study was to use a Precision Medicine (PM) approach by taking advantage of patient-derived in vitro models to give insight into the heterogeneity of the molecular pathways underlying the infiltration process.
Methods
GSC were obtained from 15 patients undergoing surgery for a newly diagnosed GBM. GSC were analysed in terms of: 1. invasive attitude by using an ad hoc in vitro migration assay; 2. transcriptional profile, by next generation sequencing. Bioinformatic was employed to define a genetic signature, and to validate its prognostic role in 500 GBM tissues included in TCGA/GTEX datasets.
Results
The in vitro study revealed that each cell line was characterized by a distinct migratory behavior, confirming that GSC recapitulated the intrinsic heterogeneity of the original tumors. Moreover, migrating and non-migrating GSC showed a distinctive transcriptional profile and, correlating differentially expressed genes with GBM included in TCGA/GTEX datasets, we identified a GSC-based signature predictive of GBM patient’s prognosis.
Conclusions
This study outlines the role of patient-based stem cells models as a tool to deepen insights on GBM features and to discover new biomarkers useful in identifying adjuvant therapies targeting the infiltration process.
Editorial acknowledgement
Clinical trial identification
Legal entity responsible for the study
University of Udine.
Funding
University of Udine.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
35P - Whole exome sequencing reveals high frequency of Notch pathway mutations in Indian breast cancer cases
Presenter: Harsh Goel
Session: Cocktail & Poster Display session
Resources:
Abstract
36P - Abacavir potentiates the efficacy of doxorubicin in breast cancer cells via KDM5B Inhibition
Presenter: Anmi Jose
Session: Cocktail & Poster Display session
Resources:
Abstract
37P - Identification of immune profile in advanced cutaneous squamous cell carcinoma predicting immunotherapy response
Presenter: Alfonso Esposito
Session: Cocktail & Poster Display session
Resources:
Abstract
39P - MicroRNA as a promising molecular biomarker for liquid biopsy in breast cancer
Presenter: Giorgia Vesca
Session: Cocktail & Poster Display session
Resources:
Abstract
42P - HER2 aberration as a potential predictive biomarker for extrapulmonary small cell neuroendocrine carcinoma
Presenter: Jiri Dvorak
Session: Cocktail & Poster Display session
Resources:
Abstract
43P - Assessment of methylation-specific genetic markers for reliable colorectal cancer detection and their potential in liquid biopsy applications
Presenter: Jiri Dvorak
Session: Cocktail & Poster Display session
Resources:
Abstract
44P - Calculated numerical karyotype with ultra low-coverage whole genome sequencing undercovers recurrent chromosomal aberrations in resectable colorectal cancer
Presenter: Thomas Samer Tarawneh
Session: Cocktail & Poster Display session
Resources:
Abstract
46P - Promising epi(genetic) biomarkers for ovarian tumor prognosis
Presenter: Ieva Vaicekauskaitė
Session: Cocktail & Poster Display session
Resources:
Abstract
47P - Integration of miRNA profiles and p53 mutations as biomarkers for predicting sensitivity and resistance to FGFR inhibitor CPL110 in cancer therapy
Presenter: Monika Skupinska
Session: Cocktail & Poster Display session
Resources:
Abstract
48P - Early cancer detection from liquid biopsy using cell-free RNA
Presenter: Joao Curado
Session: Cocktail & Poster Display session
Resources:
Abstract