[Analysis of the difference in MGMT promoter status in gliomas and its significance in prognosis assessment].

The data of 1 268 newly diagnosed gliomas from the Fourth Ward of Neurosurgery Department of Beijing Tiantan Hospital between April 2013 and March 2022 were retrospectively analyzed. Based on postoperative pathology, the gliomas were divided into groups: oligodendrogliomas (n=308), astrocytomas (n=337) and glioblastomas (n=623). According to the O6-methylguanine-DNA methyl transferase (MGMT) promoter status defined by the 12% of best cut-off value in previous research results, patients were divided into methylation group (n=763) and non-methylation group (n=505). Methylation level [M (Q1, Q3)] in patients with glioblastoma, astrocytoma and oligodendroglioma was 6% (2%, 24%), 17% (10%, 28%) and 29% (19%, 40%), respectively (P<0.001). Compared with non-methylation patients, the progression-free survival (PFS) and overall survival (OS) of glioblastomas patients with methylation of MGMT promoter demonstrated more favorable prognosis [M (Q1, Q3)]) of PFS: 14.0 (6.0, 36.0) months vs 8.0 (4.0, 15.0) months, P<0.001; M (Q1, Q3) of OS: 29.0 (17.0, 60.5) months vs 16.0 (11.0, 26.5) months, P<0.001]. In astrocytomas patients, the PFS was much longer for those with methylation [the median PFS of patients with methylation was not observed at the end of follow-up, but those without methylation showed a median PFS of 46.0 (29.0, 52.0) months] (P=0.001). However, no statistically significant difference was observed in OS [the median OS of patients with methylation was not observed at the end of follow-up, but those without methylation had a median OS of 62.0 (46.0, 98.0) months] (P=0.085). In oligodendrogliomas patients, no statistically significant differences of PFS and OS were observed between patients with methylation and those without methylation. MGMT promoter status was a related factor affecting PFS and OS in glioblastomas (PFS: HR=0.534,95%CI: 0.426-0.668, P<0.001; OS: HR=0.451, 95%CI: 0.353-0.576, P<0.001). Moreover, MGMT promoter status was also a related factor affecting PFS in astrocytomas (HR=0.462, 95%CI: 0.221-0.966, P=0.040), but not for OS (HR=0.664, 95%CI: 0.259-1.690, P=0.389). The methylation level of MGMT promoter differed substantially in different types of gliomas, and the status of MGMT promoter profoundly affected the prognosis of glioblastomas.

MiR-29b level-mediated regulation of Klotho methylation via DNMT3A targeting in chronic obstructive pulmonary disease.

Chronic obstructive pulmonary disease (COPD) is a chronic lung disease characterized by chronic bronchitis and emphysema. Cigarette smoke extract (CSE) is the predominant cause of COPD. This study aimed to investigate the effects of miR-29b and their underlying mechanisms in a COPD cell model. MiR-29b and DNMT3A expression in lung tissue samples (taken at least 5 cm away from the tumor lesion) of NSCLC cases with smoking (n = 30), without smoking (n = 30), and with COPD (with smoking) (n = 30) was researched by qRT-PCR. A medium containing 10 % CSE was employed to induce murine alveolar macrophage MH-S cells to establish COPD cells. 5-Aza-cdr (5-AZA-2'-deoxycytidine) was used to block DNMT3A. The relationship and interaction between miR-29b and DNMT3A were validated through the dual luciferase reporter assay. The expression levels of macrophage M1 polarization marker proteins iNOS and TNF-α, DNMT3A, and Klotho protein were monitored using western blotting. The methylation levels of the miR-29b precursor gene and Klotho promoter were detected by quantitative methylation-specific PCR (MS-qPCR). The levels of IL-1ß, IL-6, and TNF-α in cell culture medium were detected via ELISA. It was found that the expression of miR-29b was downregulated, as a result of increased DNA methylation, and that of DNMT3A was upregulated in the lung tissues of NSCLC cases with COPD (with smoking). DNMT3A expression was negatively correlated with miR-29b expression in the lung tissues of NSCLC cases with COPD (with smoking). In addition, miR-29b expression was distinctly downregulated in CSE-induced MH-S cells and inhibited CSE-induced M1 polarization and inflammation. Importantly, DNMT3A was identified as a direct target gene of miR-29b. MiR-29b is negatively regulated by DNMT3A-mediated DNA methylation. Moreover, Klotho expression was downregulated and the Klotho promoter methylation level was increased in lung tissues of NSCLC cases with COPD (with smoking). The negative feedback between miR-29b and DNMT3A modulates CSE-induced M1 polarization and inflammation in macrophages as well as Klotho promoter methylation in CSE-mediated MH-S. Collectively, these findings indicate that the miR-29b level in COPD controls Klotho methylation via DNMT3, which maybe a promising target for the treatment of COPD.

DNA methylation subtypes guiding prognostic assessment and linking to responses the DNA methyltransferase inhibitor SGI-110 in urothelial carcinoma.

BACKGROUND: At present, the extent and clinical relevance of epigenetic differences between upper tract urothelial carcinoma (UTUC) and urothelial carcinoma of the bladder (UCB) remain largely unknown. Here, we conducted a study to describe the global DNA methylation landscape of UTUC and UCB and to address the prognostic value of DNA methylation subtype and responses to the DNA methyltransferase inhibitor SGI-110 in urothelial carcinoma (UC). METHODS: Using whole-genome bisulfite sequencing (n = 49 samples), we analyzed epigenomic features and profiles of UTUC (n = 36) and UCB (n = 9). Next, we characterized potential links between DNA methylation, gene expression (n = 9 samples), and clinical outcomes. Then, we integrated an independent UTUC cohort (Fujii et al., n = 86) and UCB cohort (TCGA, n = 411) to validate the prognostic significance. Furthermore, we performed an integrative analysis of genome-wide DNA methylation and gene expression in two UC cell lines following transient DNA methyltransferase inhibitor SGI-110 treatment to identify potential epigenetic driver events that contribute to drug efficacy. RESULTS: We showed that UTUC and UCB have very similar DNA methylation profiles. Unsupervised DNA methylation classification identified two epi-clusters, Methy-High and Methy-Low, associated with distinct muscle-invasive statuses and patient outcomes. Methy-High samples were hypermethylated, immune-infiltrated, and enriched for exhausted T cells, with poor clinical outcome. SGI-110 inhibited the migration and invasion of Methy-High UC cell lines (UMUC-3 and T24) by upregulating multiple antitumor immune pathways. CONCLUSIONS: DNA methylation subtypes pave the way for predicting patient prognosis in UC. Our results provide mechanistic rationale for evaluating SGI-110 in treating UC patients in the clinic.

Identification and classification of antiviral defence systems in bacteria and archaea with PADLOC reveals new system types.

To provide protection against viral infection and limit the uptake of mobile genetic elements, bacteria and archaea have evolved many diverse defence systems. The discovery and application of CRISPR-Cas adaptive immune systems has spurred recent interest in the identification and classification of new types of defence systems. Many new defence systems have recently been reported but there is a lack of accessible tools available to identify homologs of these systems in different genomes. Here, we report the Prokaryotic Antiviral Defence LOCator (PADLOC), a flexible and scalable open-source tool for defence system identification. With PADLOC, defence system genes are identified using HMM-based homologue searches, followed by validation of system completeness using gene presence/absence and synteny criteria specified by customisable system classifications. We show that PADLOC identifies defence systems with high accuracy and sensitivity. Our modular approach to organising the HMMs and system classifications allows additional defence systems to be easily integrated into the PADLOC database. To demonstrate application of PADLOC to biological questions, we used PADLOC to identify six new subtypes of known defence systems and a putative novel defence system comprised of a helicase, methylase and ATPase. PADLOC is available as a standalone package (https://github.com/padlocbio/padloc) and as a webserver (https://padloc.otago.ac.nz).

Noninvasive Assessment of O(6)-Methylguanine-DNA Methyltransferase Promoter Methylation Status in World Health Organization Grade II-IV Glioma Using Histogram Analysis of Inflow-Based Vascular-Space-Occupancy Combined with Structural Magnetic Resonance Imaging.

BACKGROUND: O(6)-methylguanine-DNA methyltransferase (MGMT) promoter methylation is an important prognostic factor for gliomas and is associated with tumor angiogenesis. Arteriolar cerebral blood volume (CBVa) obtained from inflow-based vascular-space-occupancy (iVASO) magnetic resonance imaging (MRI) is assumed to be an indicator of tumor microvasculature. Its preoperative predictive ability for MGMT promoter methylation remains unclear. PURPOSE: To investigate the role of iVASO-CBVa histogram features in determining MGMT promoter methylation status of grade II-IV gliomas. STUDY TYPE: Retrospective SUBJECTS: Forty-six patients consisting of 20 MGMT methylated and 26 unmethylated gliomas. FIELD STRENGTH/SEQUENCE: 3.0 T magnetic resonance images containing iVASO MRI, T1 -weighted image (T1 WI), T2 -weighted image, T2 -weighted fluid attenuated inversion recovery image images, and enhanced T1 WI. ASSESSMENT: Sixteen structural imaging features were visually evaluated on structural MRI and 14 CBVa histogram features were extracted from iVASO-CBVa maps. STATISTICAL TESTS: Imaging features were screened and ranked using Fisher's exact test, Mann-Whitney U-test, and randomforest algorithm. Features with higher importance were selected to develop logistic regression models to determine MGMT methylation status. Receiver operating characteristics (ROC) curve with the area under the curve (AUC) and leave-one-out cross-validation (LOOCV) were used to assess effectiveness and stability. RESULTS: The top two CBVa histogram features were root mean squared (RMS) and variance. The top two structural imaging features were contrast-enhancing component of the tumor (CET) location and tumor location. Both the CBVa model of RMS and variance (ROC, AUC = 0.867; LOOCV, AUC = 0.819) and the model of structural features (ROC, AUC = 0.882; LOOCV, AUC = 0.802) accurately identified MGMT methylation. The fusion model of CBVa RMS and CET location improved diagnostic performance (ROC, AUC = 0.931; LOOCV, AUC =0.906). DATA CONCLUSION: iVASO-CBVa has potential in evaluating MGMT methylation status in grade II-IV gliomas. LEVEL OF EVIDENCE: 4 TECHNICAL EFFICACY: Stage 2.

Assessment of MGMT methylation status using high-performance liquid chromatography in newly diagnosed glioblastoma.

BACKGROUND: The utility of O6-methylguanine-DNA methyltransferase (MGMT) gene promoter methylation status as a prognostic marker in patients with glioblastoma (GBM) has been established. However, the number of CpG sites that must be methylated to cause transcriptional silencing remains unclear, and no significant consensus exists on the optimal method of assessing MGMT methylation. We developed a new high-performance liquid chromatography (HPLC) method that enables accurate analysis of DNA methylation levels using long PCR products. In the present study, we analyzed the MGMT methylation status of 28 isocitrate dehydrogenase-wild-type GBMs treated with temozolomide using ion-exchange HPLC and set the optimal cutoff values. RESULTS: We designed three primers for separate regions (regions 1-3) that had 21 to 38 CpGs for PCR and validated the MGMT promoter methylation status using frozen samples. There was a strong correlation between HPLC and bisulfite sequencing results (R = 0.794). The optimal cutoff values for MGMT methylation in HPLC were determined to allow differentiation of patient prognosis by receiver operating characteristic curve analysis. The cutoff values were 34.15% for region 1, 8.84% for region 2, and 36.72% for region 3. Kaplan-Meyer curve analysis estimated that the most differentiated prognosis was enabled in the setting of 8.84% methylation of MGMT in region 2. Progression-free survival and overall survival were significantly longer for patients in this setting of region 2 methylation (p = 0.00365 and p = 0.00258, respectively). CONCLUSIONS: The combination of our HPLC method and the original primer setting provides a new standard method for determination of MGMT methylation status in patients with GBM and is useful for refining MGMT-based drug selection.

Preconditioning with INC280 and LDK378 drugs sensitizes MGMT-unmethylated glioblastoma to temozolomide: Pre-clinical assessment.

Temozolomide (TMZ) therapy is the standard of care for patients with glioblastoma (GBM). Clinical studies have shown that elevated levels of DNA repair protein O (6)-methylguanine-DNA methyltransferase (MGMT) or deficiency/defect of DNA mismatch repair (MMR) genes is associated with TMZ resistance in some, but not all, GBM tumors. Another reason for GBM treatment failure is signal redundancy due to coactivation of several functionally linked receptor tyrosine kinases (RTKs), including anaplastic lymphoma kinase (ALK) and c-Met (hepatocyte growth factor receptor). As such, these tyrosine kinases serve as potential targets for GBM therapy. Thus, we tested two novel drugs: INC280 (Capmatinib: a highly selective c-Met receptor tyrosine kinase-RTK inhibitor) and LDK378 (Ceritinib: a highly selective anaplastic lymphoma kinase-ALK inhibitor), aiming to overcome TMZ resistance in MGMT-unmethylated GBM cells in in vitro cell culture models. Treatments were examined using MTT (3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide) assay, caspase-3 assay and western blot analysis. Results obtained from our experiments demonstrated that preconditioning with INC280 and LDK378 drugs exhibit increased MMR protein expression, specifically MMR protein MLH1 (MutL Homolog 1) and MSH6 (MutS Homolog 6) and sensitized TMZ in MGMT-unmethylated GBM cells via suppression of ALK and c-Met expression. INC280 and LDK378 plus TMZ also induced apoptosis by modulating downstream signaling of PI3K/AKT/STAT3. Taken together, this data indicates that co-inhibition of ALK and c-MET can enhance growth inhibitory effects in MGMT-unmethylated cells and enhance TMZ sensitivity in-vitro, suggesting c-Met inhibitors combined with ALK-targeting provide a therapeutic benefit in MGMT-unmethylated GBM patients.

Identifying Disparities in Care in Treating Glioblastoma: A Retrospective Cohort Study of Patients Treated at a Safety-net Versus Private Hospital Setting.

BACKGROUND: Patients of lower socioeconomic status (SES) may experience barriers to their oncologic care, but current data conflict over whether SES affects the prognosis of patients with glioblastoma (GB). OBJECTIVE: We sought to determine whether SES disparities impaired delivery of neuro-oncologic care and affected the prognosis of GB patients. METHODS: The records of GB patients treated from 2010 to 2014 at a safety-net hospital (SNH) or private hospital (PH), both served by 1 academic medical institution, were retrospectively reviewed and compared. Overall survival (OS) and progression-free survival (PFS) were estimated using the Kaplan-Meier method. RESULTS: A total of 55 SNH and 39 PH GB patients were analyzed with median 11-month follow-up. SNH patients were predominantly Hispanic, low income, enrolled in Medicaid, were less likely to receive radiation (89% vs. 100%), took longer to start radiation (41 vs. 29 days), and were less likely to complete radiation treatment (80% vs. 95%). Concurrent and adjuvant temozolomide use were also lower (85% vs. 94% and 60% vs. 71%, respectively). OS and PFS were not significantly different (15 vs. 16 months and 8 vs. 11 months, respectively). On multivariate analysis, adjuvant chemotherapy and RT completion predicted for better OS, whereas hospital type, income, and insurance did not. CONCLUSION: Although GB patients at our SNH received less adjuvant treatment compared with PH, outcomes were similar. Access to multidisciplinary care staffed by academic physicians may play an important role in overcoming socioeconomic barriers to treatment availability and quality at SNHs.

MGMT Gene Promoter Methylation Status - Assessment of Two Pyrosequencing Kits and Three Methylation-specific PCR Methods for their Predictive Capacity in Glioblastomas.

BACKGROUND: Although methylation of the O6-methylguanine-DNA methyltransferase (MGMT) gene promoter predicts response to temozolomide in patients with glioblastoma, no consensus exists as to which assay is best for its detection. MATERIALS AND METHODS: Methylation of MGMT promoter was examined by methylation-specific polymerase chain reaction (MSP), quantitative real-time MSP, methylation-sensitive high-resolution melting analysis, and two commercial pyrosequencing (PSQ) kits. Survival was compared among 48 patients with glioblastoma according to assay results. RESULTS: Only PSQ and MSP significantly separated patients who benefited from temozolomide, with PSQ being the superior method. For PSQ analysis, the cut-off value that best correlated with prognostic outcome was 7% methylation of MGMT. Median survival in patients with MGMT promoter methylation above this cut-off value was 7.8 months longer compared to those with less than 7% methylation. Two-year overall survival for the two groups was 42% and 7.4%, respectively. CONCLUSION: PSQ is the method of choice for MGMT promoter methylation analysis in routine clinical practice.

Rapid Electrochemical Assessment of Tumor Suppressor Gene Methylations in Raw Human Serum and Tumor Cells and Tissues Using Immunomagnetic Beads and Selective DNA Hybridization.

We report a rapid and sensitive electrochemical strategy for the detection of gene-specific 5-methylcytosine DNA methylation. Magnetic beads (MBs) modified with an antibody for 5-methylcytosines (5-mC) are used for the capture of any 5-mC methylated single-stranded (ss)DNA sequence. A flanking region next to the 5-mCs of the captured methylated ssDNA is recognized by hybridization with a synthetic biotinylated DNA sequence. Amperometric transduction at disposable screen-printed carbon electrodes (SPCEs) is employed. The developed biosensor has a dynamic range from 3.9 to 500 pm and a limit of detection of 1.2 pm for the methylated synthetic sequence of the tumor suppressor gene O-6-methylguanine-DNA methyltransferase (MGMT) promoter region. The method is applied in the 45-min analysis of specific methylation in the MGMT promoter region directly in raw spiked human serum samples and in genomic DNA extracted from U-87 glioblastoma cells and paraffin-embedded brain tumor tissues without any amplification and pretreatment step.

Comparative assessment of three methods to analyze MGMT methylation status in a series of 350 gliomas and gangliogliomas.

MGMT promoter methylation is considered as a prognostic and predictive biomarker indicating response to chemotherapy and radiotherapy in glioblastoma. A number of different methods and platforms including pyrosequencing (PSQ), quantitative methylation-specific PCR (qMSP) and immunohistochemistry (IHC), methylation-sensitive high resolution melting (MS-HRM) and NGS (Next Generation Sequencing) have been used to detect MGMT promoter methylation in gliomas. However, controversy remains about the most appropriate method to use for analyzing MGMT status. The MGMT promoter methylation status of a total of 350 gliomas and gangliogliomas was examined using PSQ, qMSP and IHC in parallel. Using PSQ as a recommended standard method, the sensitivity, specificity, positive/negative predictive value and correlation with the other assays were calculated. Among 350 glioma and ganglioglioma cases, the MGMT promoter tested positive for methylation in 53.1%, 55.4%, and 70.3% of the cases by PSQ, qMSP and IHC, respectively. The sensitivity and specificity of qMSP were 97.8% and 92.7%, respectively. Twelve cases that tested positive for methylation using qMSP were negative according to PSQ, and four cases that were negative according to qMSP tested positive according to PSQ. The concordance rate between PSQ and qMSP was 90.8%. The sensitivity and specificity of IHC for the detection of MGMT at the protein level were 84.4% and 45.7%, respectively. The concordance rate between PSQ and IHC was 30.8%. This study demonstrated that qMSP is an effective and rapid detection method for routine use in pathology laboratories for the identification of MGMT promoter methylation. A combination of IHC and qMSP assays can provide high sensitivity and specificity for the prediction of MGMT status. A few cases that tested negative with PSQ did harbor MGMT promoter methylation, as confirmed by qMSP and sequencing, and this subgroup of patients may benefit from temozolomide.

Assessment of molecular markers demonstrates concordance between samples acquired via stereotactic biopsy and open craniotomy in both anaplastic astrocytomas and glioblastomas.

The classification, treatment and prognosis of high-grade gliomas has been shown to correlate with the expression of molecular markers (e.g. MGMT promotor methylation and IDH1 mutations). Acquisition of tumor samples may be obtained via stereotactic biopsy or open craniotomy. Between the years 2009 and 2013, 22 patients initially diagnosed with HGGs via stereotactic biopsy, that ultimately underwent open craniotomy for resection of their tumor were prospectively included in an institutional glioma database. MGMT promotor analysis was performed using methylation-specific (MS)-PCR and IDH1R132H mutation analysis was performed using immunohistochemistry. Three patients (13.7%) exhibited IDH1R132H mutations in samples obtained via stereotactic biopsy. Tissue derived from stereotaxic biopsy was demonstrated to have MGMT promotor methylation in ten patients (45.5%), while a non-methylated MGMT promotor was demonstrated in ten patients (45.5%); inconclusive results were obtained for the remaining two patients (9%) within our cohort. The initial histologic grading, IDH1R132H mutation and MGMT promotor methylation results were confirmed using samples obtained during open craniotomy in all but one patient; here inconclusive MGMT promotor analysis was obtained in contrast to that which was obtained via stereotactic biopsy. Tumor samples acquired via stereotactic biopsy provide accurate information with regard to clinically relevant molecular markers that have been shown to impact patient care decisions. The profile of markers analyzed in our cohort was nearly concordant between those samples obtained via stereotactic biopsy or open craniotomy thereby suggesting that clinical decisions may be based on the molecular profile of the tumor samples obtained via stereotactic biopsy.

Digital PCR assessment of MGMT promoter methylation coupled with reduced protein expression optimises prediction of response to alkylating agents in metastatic colorectal cancer patients.

BACKGROUND: O(6)-methylguanine-DNA-methyltransferase (MGMT) is a repair protein, and its deficiency makes tumours more susceptible to the cytotoxic effect of alkylating agents. Five clinical trials with temozolomide or dacarbazine have been performed in metastatic colorectal cancer (mCRC) with selection based on methyl-specific PCR (MSP) testing with modest results. We hypothesised that mitigated results are consequences of unspecific patient selection and that alternative methodologies for MGMT testing such as immunohistochemistry (IHC) and digital polymerase chain reaction (PCR) could enhance patient enrolment. PATIENTS AND METHODS: Formalin-fixed paraffin embedded archival tumour tissue samples from four phase II studies of temozolomide or dacarbazine in MGMT MSP-positive mCRCs were analysed by IHC for MGMT protein expression and by methyl-BEAMing (MB) for percentage of promoter methylation. Pooled data were then retrospectively analysed according to objective response rate, progression-free survival (PFS) and overall survival (OS). RESULTS: One hundred and five patients were included in the study. Twelve had achieved partial response (PR) (11.4%), 24 stable disease (SD; 22.9%) and 69 progressive disease (PD; 65.7%). Patients with PR/SD had lower IHC scores and higher MB levels than those with PD. MGMT expression by IHC was negatively and MB levels positively associated with PFS (p < 0.001 and 0.004, respectively), but not with OS. By combining both assays, IHC low/MB high patients displayed an 87% reduction in the hazard of progression (p < 0.001) and a 77% in the hazard for death (p = 0.001). CONCLUSION: In mCRC selected for MGMT deficiency by MSP, IHC and MB testing improve clinical outcome to alkylating agents. Their combination could enhance patient selection in this setting.

MGMT promoter methylation determined by HRM in comparison to MSP and pyrosequencing for predicting high-grade glioma response.

BACKGROUND: The DNA repair protein O(6)-methylguanine-DNA methyltransferase (MGMT) causes resistance of cancer cells to alkylating agents and, therefore, is a well-established predictive marker for high-grade gliomas that are routinely treated with alkylating drugs. Since MGMT is highly epigenetically regulated, the MGMT promoter methylation status is taken as an indicator of MGMT silencing, predicting the outcome of glioma therapy. MGMT promoter methylation is usually determined by methylation specific PCR (MSP), which is a labor intensive and error-prone method often used semi-quantitatively. Searching for alternatives, we used closed-tube high resolution melt (HRM) analysis, which is a quantitative method, and compared it with MSP and pyrosequencing regarding its predictive value. RESULTS: We analyzed glioblastoma cell lines with known MGMT activity and formalin-fixed samples from IDH1 wild-type high-grade glioma patients (WHO grade III/IV) treated with radiation and temozolomide by HRM, MSP, and pyrosequencing. The data were compared as to progression-free survival (PFS) and overall survival (OS) of patients exhibiting the methylated and unmethylated MGMT status. A promoter methylation cut-off level relevant for PFS and OS was determined. In a multivariate Cox regression model, methylation of MGMT promoter of high-grade gliomas analyzed by HRM, but not MSP, was found to be an independent predictive marker for OS. Univariate Kaplan-Meier analyses revealed for PFS and OS a significant and better discrimination between methylated and unmethylated tumors when quantitative HRM was used instead of MSP. CONCLUSIONS: Compared to MSP and pyrosequencing, the HRM method is simple, cost effective, highly accurate and fast. HRM is at least equivalent to pyrosequencing in quantifying the methylation level. It is superior in predicting PFS and OS of high-grade glioma patients compared to MSP and, therefore, can be recommended being used routinely for determination of the MGMT status of gliomas.

Assessment of Quantitative and Allelic MGMT Methylation Patterns as a Prognostic Marker in Glioblastoma.

Methylation of the O(6)-methylguanine-DNA methyltransferase (MGMT) gene is a predictive and prognostic marker in newly diagnosed glioblastoma patients treated with temozolomide but how MGMT methylation should be assessed to ensure optimal detection accuracy is debated. We developed a novel quantitative methylation-specific PCR (qMSP) MGMT assay capable of providing allelic methylation data and analyzed 151 glioblastomas from patients receiving standard of care treatment (Stupp protocol). The samples were also analyzed by immunohistochemistry (IHC), standard bisulfite pyrosequencing, and genotyped for the rs1690252 MGMT promoter single nucleotide polymorphism. Monoallelic methylation was observed more frequently than biallelic methylation, and some cases with monoallelic methylation expressed the MGMT protein whereas others did not. The presence of MGMT methylation was associated with better overall survival (p = 0.006; qMSP and p = 0.002; standard pyrosequencing), and the presence of the protein was associated with worse overall survival (p = 0.009). Combined analyses of qMSP and standard pyrosequencing or IHC identified additional patients who benefited from temozolomide treatment. Finally, low methylation levels were also associated with better overall survival (p = 0.061; qMSP and p = 0.02; standard pyrosequencing). These data support the use of both MGMT methylation and MGMT IHC but not allelic methylation data as prognostic markers in patients with temozolomide-treated glioblastoma.

MGMT methylation assessment in glioblastoma: MS-MLPA versus human methylation 450K beadchip array and immunohistochemistry.

PURPOSE: The MGMT gene encodes a DNA repair enzyme that counteracts with chemotherapy efficiency, specifically with alkylating agents such as temozolomide (TMZ). It is well established that MGMT methylation should be screened as a predictive marker for TMZ in glioblastoma, and we thus aimed to determine a reliable and practical diagnostic method of MGMT methylation detection. PATIENTS AND METHODS: 55 glioblastomas were investigated for MGMT methylation status using methylation-specific multiplexed ligation probe amplification (MS-MLPA), illumina human methylation 450K BeadChip array (HM450 K) analysis, and compared to MGMT protein expression by immunohistochemistry (IHC) staining. The methylation status of promoter, intron and all MGMT CpG targeted sites were separately correlated to patient's survival. RESULTS: In addition to MS-MLPA and 450 K concordance, our results showed significantly higher overall survival (OS) of patients receiving TMZ and presenting MGMT methylated promoter (mean OS = 21.5 months, p = 0.046). Including all glioblastoma cases and regardless of chemotherapy, MS-MLPA showed significant survival difference between MGMT methylated and unmethylated cases (mean OS = 13, p = 0.021). CONCLUSION: We concluded that in glioblastoma, MGMT promoter methylation predicts TMZ sensitivity. This current comparative analysis leads to consider that MS-MLPA is a valuable as HM450 K array for MGMT methylation status screening.

Charlson comorbidity index: an additional prognostic parameter for preoperative glioblastoma patient stratification.

PURPOSE: Dismal glioblastoma (GB) patient outcome calls for the elucidation of further reliable predictors of prognosis. Established "biomarkers," age and functional status, employed in today's patient stratification have limits in fingerprinting this heterogeneous tumor entity. We aimed at ascertaining additional prognostic factors that may facilitate patient stratification for surgery. METHODS: A retrospective review of 233 consecutive adult patients operated on for newly diagnosed GB at a single tertiary institution over a 5-year period (2006-2011) was conducted. Modern defined outcome associating factors recorded included demographics (preoperative age, gender, signs, symptoms, comorbidity status quantified by the Charlson comorbidity index (CCI), functional status computed by the Karnofsky performance scale (KPS)), tumor characteristics (size, location, isocitrate dehydrogenase mutation, and O-6-methylguanine-DNA methyltransferase promoter methylation status), and treatment parameters (volumetrically quantified extent of resection and adjuvant therapy). Survival analysis was performed by the Kaplan-Maier method. Influence of variables was evaluated using log-rank test. RESULTS: Median neuroradiographic evidence of tumor progression was 6 months after surgery (range 0-72). The median overall survival was 9.5 months (range 0-72). Age > 65 years, KPS ≤ 70, and CCI > 3 were significantly associated with both poor OS (each p < 0.0001) and PFS (p < 0.0001, p < 0.001 and p < 0.002), respectively. Also, patients older than 65 years significantly had a CCI > 3 (p < 0.0001). CONCLUSIONS: Our data evidence that aside established prognostic parameters (age and KPS) for GB patient outcome, the CCI additionally significantly impacts outcome and may be employed for preoperative patient stratification.

Prognostic prediction of glioblastoma by quantitative assessment of the methylation status of the entire MGMT promoter region.

BACKGROUND: O6-methylguanine-DNA methyltransferase (MGMT) promoter methylation is reported to be a prognostic and predictive factor of alkylating chemotherapy for glioblastoma patients. Methylation specific PCR (MSP) has been most commonly used when the methylation status of MGMT is assessed. However, technical obstacles have hampered the implementation of MSP-based diagnostic tests. We quantitatively analyzed the methylation status of the entire MGMT promoter region and applied this information for prognostic prediction using sequencing technology. METHODS: Between 1998 and 2012, the genomic DNA of 85 tumor samples from newly diagnosed glioblastoma patients was subjected to bisulfite treatment and subdivided into a training set, consisting of fifty-three samples, and a test set, consisting of thirty-two samples. The training set was analyzed by deep Sanger sequencing with a sequencing coverage of up to 96 clones per sample. This analysis quantitatively revealed the degree of methylation of each cytidine phosphate guanosine (CpG) site. Based on these data, we constructed a prognostic prediction system for glioblastoma patients using a supervised learning method. We then validated this prediction system by deep sequencing with a next-generation sequencer using a test set of 32 samples. RESULTS: The methylation status of the MGMT promoter was correlated with progression-free survival (PFS) in our patient population in the training set. The degree of correlation differed among the CpG sites. Using the data from the top twenty CpG sites, we constructed a prediction system for overall survival (OS) and PFS. The system successfully classified patients into good and poor prognosis groups in both the training set (OS, p = 0.0381; PFS, p = 0.00122) and the test set (OS, p = 0.0476; PFS, p = 0.0376). Conventional MSP could not predict the prognosis in either of our sets. (training set: OS; p = 0.993 PFS; p = 0.113, test set: OS; p = 0.326 PFS; p = 0.342). CONCLUSIONS: The prognostic ability of our prediction system using sequencing data was better than that of methylation-specific PCR (MSP). Advances in sequencing technologies will make this approach a plausible option for diagnoses based on MGMT promotor methylation.