Over the past few years, new biomarkers have allowed a deeper insight into gliomagenesis and facilitated the identification of possible targets for glioma therapy. Isocitrate dehydrogenase (IDH) 1 and IDH2 mutations have been shown to be promising biomarkers for monitoring disease prognosis and predicting the response to treatment. This review summarizes recent findings in this field. Web of Science, Science Direct, and PubMed online databases were used to search for publications investigating the role of IDH in glioma. References were identified by searching for the keywords "IDH1 or IDH2 and glioma and diagnostic or predictive or prognostic" in papers published from January, 2008, to April, 2014. Only papers in English were reviewed. Publications available only as an abstract were not included. IDH1/2 mutations are tightly associated with grade II and III gliomas and secondary glioblastomas, with better prognosis and production of a recently described oncometabolite, 2-hydroxyglutarate (2HG). Although the contradictory positive effect of IDH mutation on prognosis and negative role of 2HG in tumor transformation remain unresolved, the future direction of personalized treatment strategies targeted to glioma development is likely to focus on IDH1/2 mutations.
Purpose: Current methods for glioma response assessment are limited. This study aimed to assess the technical and clinical feasibility of molecular profiling using longitudinal intracranial CSF from patients with gliomas.
Experimental Design: Adults with gliomas underwent longitudinal intracranial CSF collection via Ommaya reservoirs or ventriculoperitoneal shunts.
A large literature assessed the relationships between the O-methylguanine-DNA methyltransferase (MGMT) promoter methylation status and glioblastoma location with inconsistent results. Studies assessing this association using the percentage of methylation are lacking. This cross-sectional study aimed at investigating relationships between glioblastoma topology and MGMT promoter methylation, both as categorical (presence/absence) and continuous (percentage) status.
Medulloblastoma (MB) is the most prevalent malignant brain tumor in children, exhibiting clinical and genomic heterogeneity. Of the four major subgroups, Group 3 tumors (MYC-MB), display high levels of MYC and metastasis rates. Despite treatment with surgery, radiation, and chemotherapy, patients with Group 3 MB are more likely to develop aggressive recurrent tumors with poor survival.
Outcomes of myeloproliferative neoplasms (MPN)-associated acute leukaemias are dismal with conventional therapy. Approximately 20% of MPN-associated acute leukaemias have mutations in isocitrate dehydrogenase (IDH). Olutasidenib, and inhibitor of IDH1, demonstrates important clinical benefits in MPN-associated leukaemia with IDH1 mutation.
Purpose: To explore the feasibility of Deep learning radiomics nomograms (DLRN) in predicting IDH genotype.
Methods: A total of 402 glioma patients from two independent centers were retrospectively included, and the data from center I was randomly divided into a training cohort (n = 239) and an internal validation cohort (n = 103) on a 7:3 basis. Center II served as an independent external validation cohort (n = 60).
