Clinical Impact of IDH1 Mutations and MGMT Methylation in Adult Glioblastoma Multiforme
Mahmoud, M. S.; Khalifa, M. K.; M Nageeb, A. M. N. M.; El-Arab, L. E.; El-Mahdy, M.; Ramadan, A.; Hashim, M.; Bakr, N.; Swellam, M.
Show abstract
BackgroundGenetic aberrations and epigenetic alterations have been reported in different types of cancer. Impact of Isocitrate dehydrogenase1 (IDH1) and O6-methylguanine-DNAmethyltransferase (MGMT) in glioblastoma multiforme (GBM) have been of great interest due to their implications in prediction of prognosis of several types of cancer. Authors aimed to investigate the clinical role of IDH1 mutation and MGMT methylation pattern among GBM patients versus non-neurooncological diseases (NND) patients and their impact on survival criteria. MethodsFormalin-Fixed Paraffin-Embedded (FFPE) tissue sections of 58 GBM and 20 non-onconeurological diseases patients were recruited and IDH1 mutation were detected using Cast-PCR technology and MGMT methylation was detected using Methyl II quantitative PCR approach. Their results were assessed with other clinicopathological criteria and assess its correlation with survival patterns. ResultsIDH1 mutation was detected among 15 GBM cases (15/58) and it was not reported among NND (P=0.011). Receiver operating characteristic (ROC) curve were plotted to discriminate between MGMT methylation among studied groups. Patients with MGMT methylation [≥] 66% was reported as high methylation, which was recorded significantly in 51.7% and 100% of GBM cases and NND, respectively. Both showed significant difference with performance status, while MGMT methylation was significantly related with tumor size and tumor location. IDH1 mutation and MGMT methylation reported significant increase with GBM patients revealed complete response to treatment. Survival pattern was better for IDH1 mutation and MGMT high methylation as compared to IDH1 wild type or MGMT low-moderate methylation, respectively and favorable survival was detected when both were combined than using either of them alone. ConclusionDetection of IDH1 mutation and MGMT methylation among GBM patients could aid in prediction of their response to treatment and their survival patterns, and their combination is better than using any of them alone.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Selection of internal references for transcriptomics and RT-qPCR assays in Neurofibromatosis type 1 (NF1) related Schwann cell lines 95%
- Evaluating soluble Axl as a biomarker for glioblastoma: a pilot study 95%
- Potential biomarker of human papillomavirus 16 L1 methylation for prediction of anal intraepithelial neoplasia in men who have sex with men (MSM) 94%
Similar papers in this journal
- Absence of Glutathione S-Transferase Theta 1 Gene is Significantly Associated with Breast Cancer Susceptibility in Pakistani Population and Poor Overall Survival in Breast Cancer Patients: A Case-Control and Case Series Analysis 95%
- Systems biomedicine of primary and metastatic colorectal cancer reveals potential therapeutic targets 94%
- Patient stratification of clear cell renal cell carcinoma using the global transcription factor activity landscape derived from RNA-seq data 93%
Similar papers in this journal
- Development of a Single Molecule Counting Assay to Differentiate Chromophobe Renal Cancer and Oncocytoma in Clinics 93%
- Loss of CHGA protein as a potential biomarker for colon cancer diagnosis: a study on biomarker discovery by machine learning and confirmation by immunohistochemistry in colorectal cancer tissue microarrays 93%
- Immunotherapy and Cannabis: A Harmful Drug Interaction or Reefer Madness? 93%
Similar papers in this journal
Similar papers in this journal
- MAP Kinase and mammalian target of rapamycin are main pathways of gallbladder carcinogenesis: Results from bioinformatic analysis of Next Generation Sequencing data from a hospital-based cohort. 94%
- A protocol for good quality genomic DNA isolation from formalin-fixed paraffin-embedded tissues without using commercial kits 93%
- A Rapid and Low-Cost protocol for the detection of B.1.1.7 lineage of SARS-CoV-2 by using SYBR Green-Based RT-qPCR 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.