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EntroGen Inc mgmt methylation detection kit
3D Predict Glioma identified those patients with an unmethylated <t>MGMT</t> promoter that still did well with temozolomide treatment. ( a ) Individual patient information and drug response. ( b,c ) Kaplan–Meier survival curves stratified by MGMT promoter <t>methylation</t> in the HGG ( b ) and GBM ( c ) populations. ( d ) Table summarizing the PFS and OS and corresponding statistics for GBM patients with an unmethylated MGMT promoter (GBM, MGMT U ). ( e,f ) Kaplan–Meier survival curves for GBM, MGMT U patients for PFS ( e ) and OS ( f ) separated by test-predicted responders (green) and test-predicted non-responders (red). The dashed black line is the patient population unseparated by test prediction.
Mgmt Methylation Detection Kit, supplied by EntroGen Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/mgmt methylation detection kit/product/EntroGen Inc
Average 90 stars, based on 1 article reviews
mgmt methylation detection kit - by Bioz Stars, 2026-05
90/100 stars

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1) Product Images from "Functional prediction of response to therapy prior to therapeutic intervention is associated with improved survival in patients with high-grade glioma"

Article Title: Functional prediction of response to therapy prior to therapeutic intervention is associated with improved survival in patients with high-grade glioma

Journal: Scientific Reports

doi: 10.1038/s41598-024-68801-0

3D Predict Glioma identified those patients with an unmethylated MGMT promoter that still did well with temozolomide treatment. ( a ) Individual patient information and drug response. ( b,c ) Kaplan–Meier survival curves stratified by MGMT promoter methylation in the HGG ( b ) and GBM ( c ) populations. ( d ) Table summarizing the PFS and OS and corresponding statistics for GBM patients with an unmethylated MGMT promoter (GBM, MGMT U ). ( e,f ) Kaplan–Meier survival curves for GBM, MGMT U patients for PFS ( e ) and OS ( f ) separated by test-predicted responders (green) and test-predicted non-responders (red). The dashed black line is the patient population unseparated by test prediction.
Figure Legend Snippet: 3D Predict Glioma identified those patients with an unmethylated MGMT promoter that still did well with temozolomide treatment. ( a ) Individual patient information and drug response. ( b,c ) Kaplan–Meier survival curves stratified by MGMT promoter methylation in the HGG ( b ) and GBM ( c ) populations. ( d ) Table summarizing the PFS and OS and corresponding statistics for GBM patients with an unmethylated MGMT promoter (GBM, MGMT U ). ( e,f ) Kaplan–Meier survival curves for GBM, MGMT U patients for PFS ( e ) and OS ( f ) separated by test-predicted responders (green) and test-predicted non-responders (red). The dashed black line is the patient population unseparated by test prediction.

Techniques Used: Methylation

3D Predict Glioma stratified patient response regardless of the MGMT promoter methylation test used. ( a ) bar graph indicating the different tests used to clinically determine MGMT promoter methylation, including the number of methylated (light purple), unmethylated (dark purple) and inconclusive (gray) patients identified with each test type. ( b ) Table summarizing the OS for each test and categorization of patients along with the associated statistics. ( c,e ) Kaplan–Meier survival curves of the populations stratified by methylation state for the msPCR ( c ) and pyrosequencing ( e ) tested populations. ( d,f ) Kaplan–Meier survival curves of the populations stratified by 3D Predict Glioma test prediction for the msPCR ( d ) and pyrosequencing ( f ) tested populations.
Figure Legend Snippet: 3D Predict Glioma stratified patient response regardless of the MGMT promoter methylation test used. ( a ) bar graph indicating the different tests used to clinically determine MGMT promoter methylation, including the number of methylated (light purple), unmethylated (dark purple) and inconclusive (gray) patients identified with each test type. ( b ) Table summarizing the OS for each test and categorization of patients along with the associated statistics. ( c,e ) Kaplan–Meier survival curves of the populations stratified by methylation state for the msPCR ( c ) and pyrosequencing ( e ) tested populations. ( d,f ) Kaplan–Meier survival curves of the populations stratified by 3D Predict Glioma test prediction for the msPCR ( d ) and pyrosequencing ( f ) tested populations.

Techniques Used: Methylation

Standardization of MGMT promoter methylation testing affects MGMT promoter methylation categorization. ( a,b ) Kaplan–Meier survival curves stratified by MGMT promoter methylation in the GBM population as a conglomerate of multiple test types ( a ) and tested with Kiyatec’s MGMT methylation test ( b ). ( c ) Bar graph indicating the different tests used to clinically determine MGMT promoter methylation, including the number of methylated (light purple), unmethylated (dark purple) and inconclusive (gray) patients identified with each test type. ( d ) Table summarizing the OS for each test and categorization of patients along with the associated statistics. ( e,g ) Kaplan–Meier survival curves of the populations stratified by methylation state for the msPCR ( e ) and pyrosequencing ( g ) tested populations. ( f,h ) Kaplan–Meier survival curves of the populations stratified by 3D Predict Glioma test prediction for the msPCR ( f ) and pyrosequencing ( h ) tested populations.
Figure Legend Snippet: Standardization of MGMT promoter methylation testing affects MGMT promoter methylation categorization. ( a,b ) Kaplan–Meier survival curves stratified by MGMT promoter methylation in the GBM population as a conglomerate of multiple test types ( a ) and tested with Kiyatec’s MGMT methylation test ( b ). ( c ) Bar graph indicating the different tests used to clinically determine MGMT promoter methylation, including the number of methylated (light purple), unmethylated (dark purple) and inconclusive (gray) patients identified with each test type. ( d ) Table summarizing the OS for each test and categorization of patients along with the associated statistics. ( e,g ) Kaplan–Meier survival curves of the populations stratified by methylation state for the msPCR ( e ) and pyrosequencing ( g ) tested populations. ( f,h ) Kaplan–Meier survival curves of the populations stratified by 3D Predict Glioma test prediction for the msPCR ( f ) and pyrosequencing ( h ) tested populations.

Techniques Used: Methylation

Demographics of patients at clinical correlation, Irrespective of study predicted treatment response.
Figure Legend Snippet: Demographics of patients at clinical correlation, Irrespective of study predicted treatment response.

Techniques Used: Histopathology, Mutagenesis, Methylation



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3D Predict Glioma identified those patients with an unmethylated <t>MGMT</t> promoter that still did well with temozolomide treatment. ( a ) Individual patient information and drug response. ( b,c ) Kaplan–Meier survival curves stratified by MGMT promoter <t>methylation</t> in the HGG ( b ) and GBM ( c ) populations. ( d ) Table summarizing the PFS and OS and corresponding statistics for GBM patients with an unmethylated MGMT promoter (GBM, MGMT U ). ( e,f ) Kaplan–Meier survival curves for GBM, MGMT U patients for PFS ( e ) and OS ( f ) separated by test-predicted responders (green) and test-predicted non-responders (red). The dashed black line is the patient population unseparated by test prediction.
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(A) Cell viability was evaluated via crystal violet in U87MG cells treated with Etifoxine (30μM) and in combination with TMZ (100μM) for 48 and 72 hours. (B) Representative images of U87MG spheroids stained with Dapi, PI and antibody for TSPO at resting conditions, following TMZ alone and combined with Etifoxine (TMZ+Etifoxine). Histograms reporting quantification of spheroids diameter in the conditions of analysis ( C ) and relative changes in fluorescent intensity ( D ). (E) Percentage of <t>MGMT</t> promoter <t>methylation</t> (MGMTp meth%) in t98G and ADF cell lines. (F) Immunoblotting of MGMT and TSPO in ADF total lysates treated with TMZ (100μM) alone or combined with Lovastatin (10μM) and Etifoxine (30μM) for 24 hours. The graph in panel ( G ) shows the relative densitometry of MGMT and TSPO normalized to GAPDH. All data are represented as mean±sem. *p≤0.05; **p≤0.01; ***p≤0.001
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3D Predict Glioma identified those patients with an unmethylated MGMT promoter that still did well with temozolomide treatment. ( a ) Individual patient information and drug response. ( b,c ) Kaplan–Meier survival curves stratified by MGMT promoter methylation in the HGG ( b ) and GBM ( c ) populations. ( d ) Table summarizing the PFS and OS and corresponding statistics for GBM patients with an unmethylated MGMT promoter (GBM, MGMT U ). ( e,f ) Kaplan–Meier survival curves for GBM, MGMT U patients for PFS ( e ) and OS ( f ) separated by test-predicted responders (green) and test-predicted non-responders (red). The dashed black line is the patient population unseparated by test prediction.

Journal: Scientific Reports

Article Title: Functional prediction of response to therapy prior to therapeutic intervention is associated with improved survival in patients with high-grade glioma

doi: 10.1038/s41598-024-68801-0

Figure Lengend Snippet: 3D Predict Glioma identified those patients with an unmethylated MGMT promoter that still did well with temozolomide treatment. ( a ) Individual patient information and drug response. ( b,c ) Kaplan–Meier survival curves stratified by MGMT promoter methylation in the HGG ( b ) and GBM ( c ) populations. ( d ) Table summarizing the PFS and OS and corresponding statistics for GBM patients with an unmethylated MGMT promoter (GBM, MGMT U ). ( e,f ) Kaplan–Meier survival curves for GBM, MGMT U patients for PFS ( e ) and OS ( f ) separated by test-predicted responders (green) and test-predicted non-responders (red). The dashed black line is the patient population unseparated by test prediction.

Article Snippet: The isolated DNA was bisulfite converted using the EZ DNA Methylation-Lightning Kit from Zymo Research and MGMT promoter methylation was measured using the MGMT Methylation Detection Kit from EntroGen using the manufacturer’s instructions for all kits.

Techniques: Methylation

3D Predict Glioma stratified patient response regardless of the MGMT promoter methylation test used. ( a ) bar graph indicating the different tests used to clinically determine MGMT promoter methylation, including the number of methylated (light purple), unmethylated (dark purple) and inconclusive (gray) patients identified with each test type. ( b ) Table summarizing the OS for each test and categorization of patients along with the associated statistics. ( c,e ) Kaplan–Meier survival curves of the populations stratified by methylation state for the msPCR ( c ) and pyrosequencing ( e ) tested populations. ( d,f ) Kaplan–Meier survival curves of the populations stratified by 3D Predict Glioma test prediction for the msPCR ( d ) and pyrosequencing ( f ) tested populations.

Journal: Scientific Reports

Article Title: Functional prediction of response to therapy prior to therapeutic intervention is associated with improved survival in patients with high-grade glioma

doi: 10.1038/s41598-024-68801-0

Figure Lengend Snippet: 3D Predict Glioma stratified patient response regardless of the MGMT promoter methylation test used. ( a ) bar graph indicating the different tests used to clinically determine MGMT promoter methylation, including the number of methylated (light purple), unmethylated (dark purple) and inconclusive (gray) patients identified with each test type. ( b ) Table summarizing the OS for each test and categorization of patients along with the associated statistics. ( c,e ) Kaplan–Meier survival curves of the populations stratified by methylation state for the msPCR ( c ) and pyrosequencing ( e ) tested populations. ( d,f ) Kaplan–Meier survival curves of the populations stratified by 3D Predict Glioma test prediction for the msPCR ( d ) and pyrosequencing ( f ) tested populations.

Article Snippet: The isolated DNA was bisulfite converted using the EZ DNA Methylation-Lightning Kit from Zymo Research and MGMT promoter methylation was measured using the MGMT Methylation Detection Kit from EntroGen using the manufacturer’s instructions for all kits.

Techniques: Methylation

Standardization of MGMT promoter methylation testing affects MGMT promoter methylation categorization. ( a,b ) Kaplan–Meier survival curves stratified by MGMT promoter methylation in the GBM population as a conglomerate of multiple test types ( a ) and tested with Kiyatec’s MGMT methylation test ( b ). ( c ) Bar graph indicating the different tests used to clinically determine MGMT promoter methylation, including the number of methylated (light purple), unmethylated (dark purple) and inconclusive (gray) patients identified with each test type. ( d ) Table summarizing the OS for each test and categorization of patients along with the associated statistics. ( e,g ) Kaplan–Meier survival curves of the populations stratified by methylation state for the msPCR ( e ) and pyrosequencing ( g ) tested populations. ( f,h ) Kaplan–Meier survival curves of the populations stratified by 3D Predict Glioma test prediction for the msPCR ( f ) and pyrosequencing ( h ) tested populations.

Journal: Scientific Reports

Article Title: Functional prediction of response to therapy prior to therapeutic intervention is associated with improved survival in patients with high-grade glioma

doi: 10.1038/s41598-024-68801-0

Figure Lengend Snippet: Standardization of MGMT promoter methylation testing affects MGMT promoter methylation categorization. ( a,b ) Kaplan–Meier survival curves stratified by MGMT promoter methylation in the GBM population as a conglomerate of multiple test types ( a ) and tested with Kiyatec’s MGMT methylation test ( b ). ( c ) Bar graph indicating the different tests used to clinically determine MGMT promoter methylation, including the number of methylated (light purple), unmethylated (dark purple) and inconclusive (gray) patients identified with each test type. ( d ) Table summarizing the OS for each test and categorization of patients along with the associated statistics. ( e,g ) Kaplan–Meier survival curves of the populations stratified by methylation state for the msPCR ( e ) and pyrosequencing ( g ) tested populations. ( f,h ) Kaplan–Meier survival curves of the populations stratified by 3D Predict Glioma test prediction for the msPCR ( f ) and pyrosequencing ( h ) tested populations.

Article Snippet: The isolated DNA was bisulfite converted using the EZ DNA Methylation-Lightning Kit from Zymo Research and MGMT promoter methylation was measured using the MGMT Methylation Detection Kit from EntroGen using the manufacturer’s instructions for all kits.

Techniques: Methylation

Demographics of patients at clinical correlation, Irrespective of study predicted treatment response.

Journal: Scientific Reports

Article Title: Functional prediction of response to therapy prior to therapeutic intervention is associated with improved survival in patients with high-grade glioma

doi: 10.1038/s41598-024-68801-0

Figure Lengend Snippet: Demographics of patients at clinical correlation, Irrespective of study predicted treatment response.

Article Snippet: The isolated DNA was bisulfite converted using the EZ DNA Methylation-Lightning Kit from Zymo Research and MGMT promoter methylation was measured using the MGMT Methylation Detection Kit from EntroGen using the manufacturer’s instructions for all kits.

Techniques: Histopathology, Mutagenesis, Methylation

(A) Cell viability was evaluated via crystal violet in U87MG cells treated with Etifoxine (30μM) and in combination with TMZ (100μM) for 48 and 72 hours. (B) Representative images of U87MG spheroids stained with Dapi, PI and antibody for TSPO at resting conditions, following TMZ alone and combined with Etifoxine (TMZ+Etifoxine). Histograms reporting quantification of spheroids diameter in the conditions of analysis ( C ) and relative changes in fluorescent intensity ( D ). (E) Percentage of MGMT promoter methylation (MGMTp meth%) in t98G and ADF cell lines. (F) Immunoblotting of MGMT and TSPO in ADF total lysates treated with TMZ (100μM) alone or combined with Lovastatin (10μM) and Etifoxine (30μM) for 24 hours. The graph in panel ( G ) shows the relative densitometry of MGMT and TSPO normalized to GAPDH. All data are represented as mean±sem. *p≤0.05; **p≤0.01; ***p≤0.001

Journal: bioRxiv

Article Title: Mitochondrial sites of contact with the nucleus aid in chemotherapy evasion of glioblastoma cells

doi: 10.1101/2024.08.27.608373

Figure Lengend Snippet: (A) Cell viability was evaluated via crystal violet in U87MG cells treated with Etifoxine (30μM) and in combination with TMZ (100μM) for 48 and 72 hours. (B) Representative images of U87MG spheroids stained with Dapi, PI and antibody for TSPO at resting conditions, following TMZ alone and combined with Etifoxine (TMZ+Etifoxine). Histograms reporting quantification of spheroids diameter in the conditions of analysis ( C ) and relative changes in fluorescent intensity ( D ). (E) Percentage of MGMT promoter methylation (MGMTp meth%) in t98G and ADF cell lines. (F) Immunoblotting of MGMT and TSPO in ADF total lysates treated with TMZ (100μM) alone or combined with Lovastatin (10μM) and Etifoxine (30μM) for 24 hours. The graph in panel ( G ) shows the relative densitometry of MGMT and TSPO normalized to GAPDH. All data are represented as mean±sem. *p≤0.05; **p≤0.01; ***p≤0.001

Article Snippet: We used the MGMT Promoter Methylation Detection Kit (EntroGen, CA, USA) following the manufacturer’s instructions.

Techniques: Staining, Methylation, Western Blot

Correlations between  methylation  level of  MGMT  promoter and clinicopathological characteristics in GBM.

Journal: Annals of Medicine

Article Title: Co-expression prognostic-related genes signature base on propofol and sevoflurane anesthesia predict prognosis and immunotherapy response in glioblastoma

doi: 10.1080/07853890.2023.2171109

Figure Lengend Snippet: Correlations between methylation level of MGMT promoter and clinicopathological characteristics in GBM.

Article Snippet: The pyrosequencing instrument (QIAGEN PyroMark Q24, USA) was used for sequencing, and the instructions of Human MGMT Gene Methylation Detection Kit (Qiagen, USA) were strictly followed.

Techniques: Methylation

Serum methylation level of MGMT promoter before and after propofol and sevoflurane anesthesia. The serum methylation level of MGMT promoter in TIVA group and INHA group. (ns: no significant difference).

Journal: Annals of Medicine

Article Title: Co-expression prognostic-related genes signature base on propofol and sevoflurane anesthesia predict prognosis and immunotherapy response in glioblastoma

doi: 10.1080/07853890.2023.2171109

Figure Lengend Snippet: Serum methylation level of MGMT promoter before and after propofol and sevoflurane anesthesia. The serum methylation level of MGMT promoter in TIVA group and INHA group. (ns: no significant difference).

Article Snippet: The pyrosequencing instrument (QIAGEN PyroMark Q24, USA) was used for sequencing, and the instructions of Human MGMT Gene Methylation Detection Kit (Qiagen, USA) were strictly followed.

Techniques: Methylation

Number of patients and label distributions for label-sequence combination.

Journal: Frontiers in Oncology

Article Title: AI and High-Grade Glioma for Diagnosis and Outcome Prediction: Do All Machine Learning Models Perform Equally Well?

doi: 10.3389/fonc.2021.601425

Figure Lengend Snippet: Number of patients and label distributions for label-sequence combination.

Article Snippet: We used EntroGen’s MGMT Methylation Detection Kit (MSPCR, Cat. No. MGMT-RT44), a semiquantitative real-time PCR-based essay for detection of MGMT promoter methylation within the DMR2 locus, distinguishing between methylated and non-methylated cytosines.

Techniques:

 MGMT  best results (reported as mean ± standard deviation).

Journal: Frontiers in Oncology

Article Title: AI and High-Grade Glioma for Diagnosis and Outcome Prediction: Do All Machine Learning Models Perform Equally Well?

doi: 10.3389/fonc.2021.601425

Figure Lengend Snippet: MGMT best results (reported as mean ± standard deviation).

Article Snippet: We used EntroGen’s MGMT Methylation Detection Kit (MSPCR, Cat. No. MGMT-RT44), a semiquantitative real-time PCR-based essay for detection of MGMT promoter methylation within the DMR2 locus, distinguishing between methylated and non-methylated cytosines.

Techniques:

Best ROC curve for MGMT prediction: AB classifier with FLAIR sequence on CET ROI.

Journal: Frontiers in Oncology

Article Title: AI and High-Grade Glioma for Diagnosis and Outcome Prediction: Do All Machine Learning Models Perform Equally Well?

doi: 10.3389/fonc.2021.601425

Figure Lengend Snippet: Best ROC curve for MGMT prediction: AB classifier with FLAIR sequence on CET ROI.

Article Snippet: We used EntroGen’s MGMT Methylation Detection Kit (MSPCR, Cat. No. MGMT-RT44), a semiquantitative real-time PCR-based essay for detection of MGMT promoter methylation within the DMR2 locus, distinguishing between methylated and non-methylated cytosines.

Techniques: Sequencing