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A better understanding of the relationship between glioblastomas molecular subtypes and radio-chemotherapy is needed for the development of individualized strategies. In this study, we aimed to assess whether non-homologous end-joining (NHEJ) protein expression is associated and could predict responses to treatment of mesenchymal (MES) and proneural (PN) subtypes. Tumors from 122 patients with a glioblastoma treated at the University Hospital of Poitiers between 2002-2013 by an association of radiotherapy and temozolomide were collected. Among these tumors, 80 were suitable for in situ analysis and were included in TissueMicroArray. The expression of DNA-PKcs, Ku70, Ku80 and CD44, Olig2 (respectively surrogate markers of MES and PN subtypes) were evaluated by immunohistochemistry. The median survival of patients with high and low CD44 expression was 11.9 months (95% CI 7.7-14) and 19.1 months (95% CI 15.2-22.4) respectively (p = 0.008). Median survival of patients with high and low DNA-PKcs levels was 20.0 months (95% CI 15.2-25.3) and 12.9 months (95% CI 9.9-19.5) respectively (p = 0.036). High levels of Olig2, Ku70 and Ku80 tended to be associated with better overall survival but no significant differences were found. Overall survival of class I patients (CD44+ and DNA-PKcs+) was longer than class II (CD44+ and DNA-PKcs- or CD44- and DNA-PKcs+) and class III (CD44- and DNA-PKcs-), (p = 0.005 and 0.003 respectively). High levels of CD44 and DNA-PK are associated with a better survival and better response to radiotherapy and temozolomide and could establish prognosis classes by predicting survival and response to therapy for GBMs patients.

The methylation of O(6)-methylguanine DNA methyltransferase (MGMT) gene promoter is a key biological marker in clinical neuro-oncology. Nevertheless, there is no consensus concerning the best technique for its assessment. In a recent study comparing five methods to analyze MGMT status, we found that the best prediction of survival was obtained with a pyrosequencing (PSQ) test assessing methylation of 5 CpGs (CpGs 74-78). In the present study we extended our PSQ analysis to 16 CpGs (CpGs 74-89) identified as critical for transcriptional control of the gene. The predictive value of the methylation levels at each CpG, as well as the mean methylation levels of selected sets of consecutive CpGs was tested in a cohort of 89 de novo glioblastoma patients who had received standard of care treatment (Stupp protocol). Using an optimal risk cut-off, each CpG or combination of CpGs, was associated with overall survival (OS) and progression free survival. The best predictive models for OS after stratification on performance score and age were obtained with CpG 89, CpG 84 and mean methylation of CpG 84-88 (Hazard ratio (HR), 0.31; p < 0.0001). The improvement compared to the predictive value of the test analyzing average methylation of CpG 74-78 (HR, 0.32; p < 0.0001) was however marginal. We recommend to test CpGs 74-78 when analyzing MGMT methylation status by PSQ because a commercial kit that has successfully been used in several studies is available, allowing reproducible and comparable results from one laboratory to another.

This multicenter study assesses the value of O(6)-methylguanine-DNA methyltransferase (MGMT) status for predicting overall survival in glioblastoma patients. Five methods are used, to identify the approach with the best prognostic value. Eighty-one tumors were obtained from patients with glioblastomas treated by surgery and radiotherapy with concomitant temozolomide (TMZ) followed by adjuvant TMZ. MGMT promoter methylation was assessed by qualitative methyl-specific polymerase chain reaction (MSP), semiquantitative methyl-specific polymerase chain reaction (SQ-MSP), and pyrosequencing, while MGMT expression was measured at the RNA level by quantitative real-time PCR (Q-RT-PCR) and at the protein level by immunohistochemistry (IHC). MGMT promoter methylation as evaluated by MSP, SQ-MSP, and pyrosequencing was significantly correlated with overall survival. The best predictive value was obtained by pyrosequencing of one specific CpG position. Overall survival was 14 and 25 months for patients with percentages of methylation below and above the median, respectively. In contrast, MGMT status determined by Q-RT-PCR and IHC showed little or no correlation with overall survival, respectively. These results confirm the prognostic value of MGMT promoter methylation in glioblastoma patients initially treated with TMZ. SQ-MSP allowed better discrimination than classical MSP, and pyrosequencing represented a good option.

In an effort to extend the potential relationship between the methylation status of MGMT promoter and response to CENU therapy, we examined the methylation status of MGMT promoter in 44 patients with glioblastomas. Tumor specimens were obtained during surgery before adjuvant treatment, frozen and stored at -80 degrees C until for DNA extraction process. DNA methylation patterns in the CpG island of the MGMT gene were determined in every tumor by methylation specific PCR (MSP). These results were then related to overall survival and response to alkylating agents using statistical analysis. Methylation of the MGMT promoter was detected in 68% of tumors, and 96.7% of methylated tumors exhibited also an unmethylated status. There was no relationship between the methylation status of the MGMT promoter and overall survival and response to alkylating agents. Our observations do not lead us to consider promoter methylation of MGMT gene as a prognostic factor of responsiveness to alkylating agents in glioblastomas.