Pseudoprogression is a major diagnostic dilemma in current treatment protocols for malignant gliomas that involve concurrent chemoradiotherapy. We hypothesized that methylation-specific multiplex ligation probe amplification (MS-MLPA), an assay that permits semiquantitative evaluation of promoter methylation, may be used to diagnose pseudoprogression based on the quantification of the methylation status of the O(6)-methylguanine DNA methyltransferase (MGMT) promoter. We examined the methylation ratio of the MGMT promoter with MS-MLPA in 48 samples from glioblastoma patients. The results were compared with those from methylation-specific polymerase chain reaction (MSP), and protein levels were confirmed by immunohistochemical staining. We then evaluated the correlation between those molecular signatures and clinical outcomes. With regard to radiological progression after chemoradiotherapy, the diagnostic accuracy of the MS-MLPA method was 80% (using a cut-off value of 0.2). These results are better than those obtained with MSP (diagnostic accuracy of 68%). Combining the MS-MLPA and MSP methods resulted in a diagnostic accuracy of 93% for the identification of pseudoprogression among patients to whom these results were coherent. These results demonstrate that MS-MLPA is a useful method to predict radiological progression vs pseudoprogression in glioblastoma patients and that the interpretation of these results in combination with MSP results will provide good practical guidelines for clinical decision making in glioblastoma treatment.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3064622 | PMC |
http://dx.doi.org/10.1093/neuonc/noq162 | DOI Listing |
Cancers (Basel)
January 2025
Department of Medical Imaging, Faculty of Health Sciences, University of Pécs, 7621 Pécs, Hungary.
Glioblastoma, the most common and aggressive primary brain tumor in adults, presents a formidable challenge due to its rapid progression, treatment resistance, and poor survival outcomes. Standard care typically involves maximal safe surgical resection, followed by fractionated external beam radiation therapy and concurrent temozolomide chemotherapy. Despite these interventions, median survival remains approximately 12-15 months, with a five-year survival rate below 10%.
View Article and Find Full Text PDFBiomedicines
December 2024
Life and Health Sciences Research Group, Graduate School, CES University, Medellín 050021, Colombia.
Introduction: The treatment for patients with high-grade gliomas includes surgical resection of tumor, radiotherapy, and temozolomide chemotherapy. However, some patients do not respond to temozolomide due to a methylation reversal mechanism by the enzyme O-methylguanine-DNA-methyltransferase (MGMT). In patients receiving treatment with temozolomide, this biomarker has been used as a prognostic factor.
View Article and Find Full Text PDFBiomedicines
November 2024
Cancer Epidemiology and Cancer Services Research, Centre for Cancer, Society & Public Health, Bermondsey Wing, King's College London, 3rd Floor, Guy's Hospital, Great Maze Pond, London SE1 9RT, UK.
Molecular profiles can predict which patients will respond to current standard treatment and new targeted therapy regimens. Using data from a highly diverse population of approximately three million in Southeast London and Kent, this study aims to evaluate the prevalence of IDH1 mutation and MGMT promoter methylation in the gliomas diagnosed in adult patients and to explore correlations with patients' demographic and clinicopathological characteristics. Anonymised data on 749 adult patients diagnosed with a glioma in 2015-2019 at King's College Hospital were extracted.
View Article and Find Full Text PDFBiomedicines
November 2024
Department of Neurosurgery, University of Florida, Gainesville, FL 32608, USA.
Glioblastoma multiforme (GBM), a WHO grade 4 glioma, is the most common and aggressive primary brain tumor, characterized by rapid progression and poor prognosis. The heterogeneity of GBM complicates diagnosis and treatment, driving research into molecular biomarkers that can offer insights into tumor behavior and guide personalized therapies. This review explores recent advances in molecular biomarkers, highlighting their potential to improve diagnosis and treatment outcomes in GBM patients.
View Article and Find Full Text PDFBioinform Biol Insights
January 2025
Department of Pathology & Clinical Bioinformatics, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, The Netherlands.
While deep learning (DL) is used in patients' outcome predictions, the insufficiency of patient samples limits the accuracy. In this study, we investigated how transfer learning (TL) alleviates the small sample size problem. A 2-step TL framework was constructed for a difficult task: predicting the response of the drug temozolomide (TMZ) in glioblastoma (GBM) cell cultures.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!