Abstract

IntroductionGlioblastoma (GBM) is an aggressive brain tumor associated with high degree of resistance to treatment. Given its heterogeneity, it is important to understand the molecular landscape of this tumor for the development of more effective therapies. Because of the different genetic profiles of patients with GBM, we sought to identify genetic variants in Lebanese patients with GBM (LEB-GBM) and compare our findings to those in the Cancer Genome Atlas (TCGA).MethodsWe performed whole exome sequencing (WES) to identify somatic variants in a cohort of 60 patient-derived GBM samples. We focused our analysis on 50 commonly mutated GBM candidate genes and compared mutation signatures between our population and publicly available GBM data from TCGA. We also cross-tabulated biological covariates to assess for associations with overall survival, time to recurrence and follow-up duration.ResultsWe included 60 patient-derived GBM samples from 37 males and 23 females, with age ranging from 3 to 80 years (mean and median age at diagnosis were 51 and 56, respectively). Recurrent tumor formation was present in 94.8% of patients (n = 55/58). After filtering, we identified 360 somatic variants from 60 GBM patient samples. After filtering, we identified 360 somatic variants from 60 GBM patient samples. Most frequently mutated genes in our samples included ATRX, PCDHX11, PTEN, TP53, NF1, EGFR, PIK3CA, and SCN9A. Mutations in NLRP5 were associated with decreased overall survival among the Lebanese GBM cohort (p = 0.002). Mutations in NLRP5 were associated with decreased overall survival among the Lebanese GBM cohort (p = 0.002). EGFR and NF1 mutations were associated with the frontal lobe and temporal lobe in our LEB-GBM cohort, respectively.ConclusionsOur WES analysis confirmed the similarity in mutation signature of the LEB-GBM population with TCGA cohorts. It showed that 1 out of the 50 commonly GBM candidate gene mutations is associated with decreased overall survival among the Lebanese cohort. This study also highlights the need for studies with larger sample sizes to inform clinicians for better prognostication and management of Lebanese patients with GBM.

Highlights

  • Glioblastoma (GBM) is an aggressive brain tumor associated with high degree of resistance to treatment

  • We identified 360 somatic variants from 60 GBM patient samples

  • Our whole exome sequencing (WES) analysis confirmed the similarity in mutation signature of the Lebanese patients with GBM (LEB-GBM) population with the Cancer Genome Atlas (TCGA) cohorts

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Summary

Methods

We performed whole exome sequencing (WES) to identify somatic variants in a cohort of 60 patient-derived GBM samples. We accessed medical records for 60 GBM patients from June 2015 to June 2016, and retrospectively collected clinical data on these patients with a diagnosis date ranging from May 2003 to August 2014. This study was approved by the Institutional Review Board (IRB) of the American University of Beirut, and informed oral consent was obtained from all patients prior to sample processing via telephone call and documented on the data collection sheet. Written consent was waived by IRB because there was minimal risk to the subjects, and the study mainly involved chart review and data collection with no identifiers. Based on the histological diagnosis performed in the Department of Pathology and Laboratory Medicine at the American University of Beirut Medical Center, 60 paraffin-embedded tissues were retrieved, and the blocks were submitted to the Molecular Diagnostics Laboratory for processing and DNA extraction. Qiagen kit was used for DNA extraction. The resultant DNA was quantified using the Biomate TM spectrophotometer and stored at 4 ̊C

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