Stratified monotherapy approach according to MGMT methylation status in elderly patients with glioblastoma.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. 2050-2050
Author(s):  
Mitsuaki Shirahata ◽  
Junichi Adachi ◽  
Keiichi Kobayashi ◽  
Fumiyuki Yamasaki ◽  
Kaoru Tamura ◽  
...  
Keyword(s):  
Clinical Trial ◽  
Radiation Therapy ◽  
Elderly Patients ◽  
Methylation Status ◽  
Mgmt Methylation ◽  
Age Related ◽  
Mgmt Promoter ◽  
Average Methylation ◽  
Methylated Mgmt Promoter ◽  
Methylation Ratio

2050 Background: The elderly patients with glioblastoma have an extremely poor prognosis. As they often have some degree of age-related vulnerability, it is especially important to minimize a risk of treatment-related adverse events by optimizing treatment intensity for this population. We conducted phaseⅡ clinical trial to investigate the efficacy of stratified monotherapy approach according to O6-methylguanine-DNA methyltransferase (MGMT) methylation status in elderly patients with glioblastoma. Methods: Patients aged 70 years or older with Karnofsky performance status (KPS) of at least 60 were eligible for this study. MGMT methylation status was quantitatively assessed by pyrosequencing based on the average methylation ratio of 16 CpG sites in the MGMT gene promoter. The patients with highly methylated MGMT promoter defined as an average methylation ratio with 30% or higher were treated with temozolomide (TMZ) monotherapy (standard 5/28 regimen), while the others with low or intermediate levels of MGMT promoter methylation were treated with radiation therapy (40Gy/15fr) alone. Results: Between April 2013 and December 2017, 70 patients were enrolled in this study. Median age was 78 years (70-91) and median KPS was 60 (60-100). Of 70 patients, 19 patients with highly methylated MGMT promoter received TMZ monotherapy, while the remaining 51 patients were treated with radiation therapy. Median progression-free survival (PFS) and median overall survival (OS) were 7.5 and 17.4 months in the TMZ group, respectively. Median PFS and median OS were 4.6 and 10.4 months in the radiotherapy group, respectively. Conclusions: For elderly glioblastoma patients with highly methylated MGMT promoter, TMZ monotherapy could be a treatment option. Clinical trial information: UMIN000012172.

MGMT methylation status may predict survival in elderly patients with newly diagnosed glioblastoma (GBM)

2009 ◽  
Vol 27 (15_suppl) ◽  
pp. e13023-e13023
Author(s):  
E. R. Gerstner ◽  
S. Yip ◽  
D. L. Wang ◽  
D. N. Louis ◽  
A. J. Iafrate ◽  
...  
Keyword(s):  
Elderly Patients ◽  
Methylation Status ◽  
Gene Promoter ◽  
Multimodality Treatment ◽  
Promoter Sequence ◽  
The Elderly ◽  
Newly Diagnosed ◽  
Mgmt Methylation ◽  
Logrank Test ◽  
Mgmt Promoter

e13023 Background: Methylation of the MGMT gene promoter is associated with prolonged survival and response to temozolomide in GBM < 70. However, it is unclear if MGMT is a useful prognostic biomarker in the elderly GBM population who traditionally are viewed as less responsive to treatment. Methods: We retrospectively reviewed MGMT promoter methylation status and clinical characteristics in patients 70 years or older with newly diagnosed GBM undergoing resection at our institution from 1998–2008. MGMT analysis was performed by extracting tumor genomic DNA for bisulfite conversion. MGMT methylation specific PCR (MSP) was then performed using PCR primer sets specific for methylated and unmethylated MGMT promoter sequence. The logrank test was used to compare mPFS and mOS in patients who had methylated (ME) MGMT vs. unmethylated (UN) MGMT. Results: Thirty-four patients were included in the analysis. Twenty patients (59%) were ME while 14 (41%) were UN. Patients were treated with multimodality treatment (radiation + chemotherapy), radiation alone, or chemotherapy alone. ME was associated with a significantly prolonged mPFS and mOS as noted in the table below which also summarizes the characteristics of the study population. Conclusions: MGMT methylation status is associated with prolonged PFS and OS in elderly patients with newly diagnosed GBM. Knowledge of MGMT status may help improve prognostication in this patient population. [Table: see text] [Table: see text]

scholarly journals Tim-3 protein expression with MGMT methylation status in glioblastoma and association with survival

2020 ◽  
Author(s):  
ji zhang ◽  
Xiaoli Wang ◽  
Shengquan Ye ◽  
Lijiao Liang ◽  
Yi Zhou ◽  
...  
Keyword(s):  
Protein Expression ◽  
Promoter Methylation ◽  
Immune Checkpoint ◽  
Dna Methyltransferase ◽  
Methylation Status ◽  
Prognostic Significance ◽  
Mgmt Promoter Methylation ◽  
Mgmt Methylation ◽  
Methylguanine Dna Methyltransferase ◽  
Mgmt Promoter

Abstract Background Understanding the molecular landscape of glioblastoma (GBM) is increasingly crucial for its therapy. Immune checkpoint molecules motivated the emergence of immune checkpoint-targeting therapeutic strategies. However, the prognostic significance of the immune checkpoint molecule T cell immunoglobulin mucin-3 (Tim-3) on tumor-infiltrating immune cells (TIICs) and O-6-Methylguanine-DNA methyltransferase (MGMT) methylation status remains to be fully elucidated. We aimed to develop an MGMT methylation status-associated immune prognostic signature for predicting prognosis in GBMs.Patients and Methods: A total of 84 patients with newly diagnosed GBM were involved. MGMT methylation status was retrospectively analyzed and the expression level of Tim-3 protein was investigated using immunohistochemistry (IHC). The correlation between Tim-3 protein expression and MGMT methylation status, and the prognosis was explored.Results The obtained data showed that Tim-3 protein was expressed at different levels in GBMs. Mesenchymal expression of Tim-3 protein in these tissues was 73.81% (62/84), including low 15.48% (13/84), moderate 7.14% (6/84) and strong expression 51.19% (43/84), respectively. Of the 48 patients whose tumors tested positive for MGMT methylation, the remaining 36 patients was negative.Conclusions We profiled the immune status in GBM with MGMT promoter methylation and established a local immune signature for GBM, which could independently identify patients with a favorable prognosis, indicating the relationship between prognosis and immune. MGMT promoter methylation with lower Tim-3 protein expression was statistically significantly associated with better survival.

MGMT methylation testing in RTOG 0525: A phase III trial of newly diagnosed glioblastoma

2009 ◽  
Vol 27 (15_suppl) ◽  
pp. 2051-2051
Author(s):  
K. D. Aldape ◽  
G. Jones ◽  
M. Wang ◽  
M. Hegi ◽  
R. C. Janzer ◽  
...  
Keyword(s):  
Clinical Trial ◽  
Real Time ◽  
Promoter Methylation ◽  
Mgmt Promoter Methylation ◽  
Phase Iii ◽  
Major Advance ◽  
Newly Diagnosed ◽  
Mgmt Methylation ◽  
Mgmt Promoter ◽  
Central Pathology

2051 Background: MGMT promoter methylation has been described as a prognostic marker in glioblastoma (GBM) and may be associated with chemosensitivity to alkylating agents. This study determined the feasibility of real-time determination of MGMT promoter methylation testing in a large international phase III clinical trial. Methods: Paraffin tumor blocks were obtained from patients registered onto RTOG 0525 then distributed to one of two central pathology labs: MD Anderson (Houston TX, K. Aldape) or CHUV (Lausanne, CH, R. Janzer). After histologic confirmation of GBM, unstained slides (40 microns of tumor tissue) were sent to the testing laboratories. Results were used for randomization into a treatment arm. MGMT methylation was assessed using methylation specific real-time PCR (MSP). The assay determined the number of copies of both methylated MGMT and of beta-actin (ACTB) in the sample. The ACTB copy number was used to assess the quality and quantity of the sample DNA. Results: Results were available for 995 samples. Following MSP samples were categorized into one of five possible results: failed (2, 0.2%), methylated (302, 30.2%), non-methylated (602, 60.2%), indeterminate (62, 6.2%), and invalid (27, 2.7%). Among cases that were evaluable as either methylated or unmethylated (n = 904) the MGMT promoter methylation rate in newly diagnosed GBM was approximately 1/3 (33.4%), a rate that is somewhat lower than prior reports. The average time from receipt of sample at the central pathology laboratory to reporting of results was 9.3 days. The time required decreased over the course of the clinical trial. This was due, in part, to training of the sites to deliver samples just before the start of runs. Conclusions: The results demonstrate the feasibility of performing real-time MGMT methylation testing, a tumor based assay, as a stratification factor in a multinational clinical trial. This study confirms that treatment decisions based on the molecular characteristics of the tumor are feasible, thereby providing opportunities to develop more molecularly-based tumor stratification or selection, a major advance in developing personalized treatment regimens. No significant financial relationships to disclose.

The clinical significance of telomerase reverse transcriptase (TERT) promoter mutations, telomere length and O6-methylguanine DNA methyltransferase (MGMT) promoter methylation status in newly diagnosed and recurrent IDH-wildtype glioblastoma (GBM) patients (PTS): A large mono-institutional study.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 2053-2053
Author(s):  
Giuseppe Lombardi ◽  
Silvia Giunco ◽  
Francesco Cavallin ◽  
Chiara Angelini ◽  
Mario Caccese ◽  
...  
Keyword(s):  
Telomere Length ◽  
Methylation Status ◽  
Mgmt Promoter Methylation ◽  
Newly Diagnosed ◽  
Mgmt Methylation ◽  
Tert Promoter ◽  
Tert Promoter Mutations ◽  
Mgmt Promoter ◽  
Promoter Mutations ◽  
Mgmt Promoter Methylation Status

2053 Background: the clinical significance of TERT promoter mutations, telomere length and their interactions with MGMT promoter methylation status in patients with IDH-wildtype GBM patients remain unclear. We performed a large mono-institutional study to better investigate their impact and their interaction on clinical outcomes Methods: TERT promoter mutations (C228T and C250T), relative telomere length (RTL) and MGMT methylation status were assessed in 278 newly diagnosed and in 65 recurrent IDH-wildtype GBM PTS which were treated at Veneto Institute of Oncology (Padua, Italy) from Dec 2016 to Jan 2020. We have retrospectively explored association between gene characteristics and neuroradiological response (RANO criteria), progression-free survival (PFS), overall survival (OS). Telomere length was measured by monochrome multiplex PCR and RTL values were calculated as a telomere/single-copy gene ratio Results: characteristics of newly diagnosed GBM PTS were: median age 63 ys, ECOG PS 0-1 in 71% of PTS, radical surgery in 38%, 78% received radiation therapy plus TMZ, MGMT was methylated in 53%, TERT promoter was mutated in 80% (75% C228T, 25% C250T), median RTL was 1.57 (range 0.4-11.37). Objective response rate was reported in 15% of PTS, median OS was 15ms (95% CI 13-18ms), median PFS was 8ms (95% CI 7-9ms). At multivariable analysis, TERT promoter mutations and RTL were not associated with clinical outcomes; about OS, TERT promoter mutations and RTL reported a HR of 1.05 (95% CI 0.64-1.64) and 0.99 (95% CI 0.89-1.10), respectively; MGMT methylated tumors showed significant improved PFS and OS with a HR of 0.54 (95% CI 0.40-0.71) and 0.47 (95% CI 0.34-0.64), respectively. All interactions among MGMT status, TERT mutation status and RTL were not statistically significant. Characteristics of recurrent GBM PTS were: median age 55 ys, ECOG PS 0-1 in 60% of PTS, MGMTmet in 37%, TERT promoter mutations in 75% (75% C228T, 25% C250T), RTL was 1.67 (range 0.68-8.87). At multivariable analysis, only MGMT methylated tumors resulted significantly associated to prolonged OS (HR 0.16; 95% CI 0.07-0.40). No gene interaction was significant. Conclusions: for the first time worldwide, we analyzed the impact of TERT promoter mutations, RTL and MGMT methylation status in both newly diagnosed and recurrent IDH-wildtype GBM PTS. TERT promoter status and RTL were not associated with clinical outcomes at both diagnosis and relapse. MGMT promoter methylation status was the only prognostic factor in both cases. No significant interaction was demonstrated between TERT promoter mutations, RTL and MGMT methylation status.

scholarly journals XGBoost Improves Classification of MGMT Promoter Methylation Status in IDH1 Wildtype Glioblastoma

2020 ◽  
Vol 10 (3) ◽  
pp. 128 ◽  
Author(s):  
Nguyen Quoc Khanh Le ◽  
Duyen Thi Do ◽  
Fang-Ying Chiu ◽  
Edward Kien Yee Yapp ◽  
Hui-Yuan Yeh ◽  
...  
Keyword(s):  
Promoter Methylation ◽  
Dna Methyltransferase ◽  
Methylation Status ◽  
Mgmt Promoter Methylation ◽  
Gradient Boosting ◽  
Mgmt Methylation ◽  
Promoter Methylation Status ◽  
Extreme Gradient Boosting ◽  
Mgmt Promoter ◽  
Mgmt Promoter Methylation Status

Approximately 96% of patients with glioblastomas (GBM) have IDH1 wildtype GBMs, characterized by extremely poor prognosis, partly due to resistance to standard temozolomide treatment. O6-Methylguanine-DNA methyltransferase (MGMT) promoter methylation status is a crucial prognostic biomarker for alkylating chemotherapy resistance in patients with GBM. However, MGMT methylation status identification methods, where the tumor tissue is often undersampled, are time consuming and expensive. Currently, presurgical noninvasive imaging methods are used to identify biomarkers to predict MGMT methylation status. We evaluated a novel radiomics-based eXtreme Gradient Boosting (XGBoost) model to identify MGMT promoter methylation status in patients with IDH1 wildtype GBM. This retrospective study enrolled 53 patients with pathologically proven GBM and tested MGMT methylation and IDH1 status. Radiomics features were extracted from multimodality MRI and tested by F-score analysis to identify important features to improve our model. We identified nine radiomics features that reached an area under the curve of 0.896, which outperformed other classifiers reported previously. These features could be important biomarkers for identifying MGMT methylation status in IDH1 wildtype GBM. The combination of radiomics feature extraction and F-core feature selection significantly improved the performance of the XGBoost model, which may have implications for patient stratification and therapeutic strategy in GBM.

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