mgmt methylation testing Search Results


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MDxHealth mgmt promoter methylation testing
Mgmt Promoter Methylation Testing, supplied by MDxHealth, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Covance mgmt promoter methylation status testing
Mgmt Promoter Methylation Status Testing, supplied by Covance, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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LabCorp mgmt methylation testing
Mutations and copy number variants (CNVs) from WES are shown for core glioma genetic drivers. When available (n=55), patient germline variants were subtracted. Molecular gene expression subtype was determined from RNAseq (14). DNA <t>methylation</t> group was determined from genome wide methylation profiling according to TCGA pan-glioma classification (15). <t>MGMT</t> promoter methylation was assessed by quantitative methylation-specific PCR performed at Mayo Clinic. TERT promoter mutations (C228T and C250T) were detected by Sanger sequencing.
Mgmt Methylation Testing, supplied by LabCorp, 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 testing/product/LabCorp
Average 90 stars, based on 1 article reviews
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Kiyatec Inc mgmt methylation test
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 Test, supplied by Kiyatec 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 test/product/Kiyatec Inc
Average 90 stars, based on 1 article reviews
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Pyrosequencing Inc mgmt methylation testing
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 Testing, supplied by Pyrosequencing 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 testing/product/Pyrosequencing Inc
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Servicebio Inc mgmt methylation tested by methylation-specific pcr (ms-pcr)
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 Tested By Methylation Specific Pcr (Ms Pcr), supplied by Servicebio Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Pyrosequencing Inc mgmt methylation test psq
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 Test Psq, supplied by Pyrosequencing Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Mutations and copy number variants (CNVs) from WES are shown for core glioma genetic drivers. When available (n=55), patient germline variants were subtracted. Molecular gene expression subtype was determined from RNAseq (14). DNA methylation group was determined from genome wide methylation profiling according to TCGA pan-glioma classification (15). MGMT promoter methylation was assessed by quantitative methylation-specific PCR performed at Mayo Clinic. TERT promoter mutations (C228T and C250T) were detected by Sanger sequencing.

Journal: Clinical cancer research : an official journal of the American Association for Cancer Research

Article Title: Genomic and phenotypic characterization of a broad panel of patient derived xenografts reflects the diversity of glioblastoma

doi: 10.1158/1078-0432.CCR-19-0909

Figure Lengend Snippet: Mutations and copy number variants (CNVs) from WES are shown for core glioma genetic drivers. When available (n=55), patient germline variants were subtracted. Molecular gene expression subtype was determined from RNAseq (14). DNA methylation group was determined from genome wide methylation profiling according to TCGA pan-glioma classification (15). MGMT promoter methylation was assessed by quantitative methylation-specific PCR performed at Mayo Clinic. TERT promoter mutations (C228T and C250T) were detected by Sanger sequencing.

Article Snippet: For 22 patients, MGMT methylation was assessed during clinical care; the majority of testing was performed at LabCorp (Burlington, NC).

Techniques: Gene Expression, DNA Methylation Assay, Genome Wide, Methylation, Sequencing

(A) Survival benefit across PDX models treated with RT, TMZ and RT/TMZ. Mice with established orthotopic tumors from 37 PDX lines were randomized to treatment with RT, TMZ, or RT/TMZ. Survival benefit was calculated as a ratio of survival of the treated mice to placebo treated mice. PDXs are grouped by MGMT status: M=MGMT methylated (N=14), U=MGMT unmethylated (N=14) and R=recurrent (N=9). (B) Comparison of patient and PDX survival following standard therapies for 20 matched pairs with xenografts established at initial diagnosis. Patient survival is shown in months and PDX survival in days.

Journal: Clinical cancer research : an official journal of the American Association for Cancer Research

Article Title: Genomic and phenotypic characterization of a broad panel of patient derived xenografts reflects the diversity of glioblastoma

doi: 10.1158/1078-0432.CCR-19-0909

Figure Lengend Snippet: (A) Survival benefit across PDX models treated with RT, TMZ and RT/TMZ. Mice with established orthotopic tumors from 37 PDX lines were randomized to treatment with RT, TMZ, or RT/TMZ. Survival benefit was calculated as a ratio of survival of the treated mice to placebo treated mice. PDXs are grouped by MGMT status: M=MGMT methylated (N=14), U=MGMT unmethylated (N=14) and R=recurrent (N=9). (B) Comparison of patient and PDX survival following standard therapies for 20 matched pairs with xenografts established at initial diagnosis. Patient survival is shown in months and PDX survival in days.

Article Snippet: For 22 patients, MGMT methylation was assessed during clinical care; the majority of testing was performed at LabCorp (Burlington, NC).

Techniques: Methylation, Comparison, Biomarker Discovery

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: When the different testing methodologies were individually compared to the Kiyatec MGMT methylation test, the Kiyatec MGMT methylation test yielded results more similar to previously published data although the differences may still be due to the small sample size.

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: When the different testing methodologies were individually compared to the Kiyatec MGMT methylation test, the Kiyatec MGMT methylation test yielded results more similar to previously published data although the differences may still be due to the small sample size.

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: When the different testing methodologies were individually compared to the Kiyatec MGMT methylation test, the Kiyatec MGMT methylation test yielded results more similar to previously published data although the differences may still be due to the small sample size.

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: When the different testing methodologies were individually compared to the Kiyatec MGMT methylation test, the Kiyatec MGMT methylation test yielded results more similar to previously published data although the differences may still be due to the small sample size.

Techniques: Histopathology, Mutagenesis, Methylation