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Image Search Results
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,
Techniques: Gene Expression, DNA Methylation Assay, Genome Wide, Methylation, 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: (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,
Techniques: Methylation, Comparison, Biomarker Discovery
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
Techniques: Methylation
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
Techniques: Methylation
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
Techniques: Methylation
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
Techniques: Histopathology, Mutagenesis, Methylation