Dataset Information

Gray Areas in the Gray Matter: IDH1/2 Mutations in Glioma.

ABSTRACT: Since the first discovery of isocitrate dehydrogenase (IDH) mutations in cancer, considerable progress has been made in our understanding of their contribution to cancer development. For glioma, this has helped to identify two diagnostic groups of tumors (oligodendroglioma and astrocytoma IDHmt) with distinct clinical characteristics and that are now diagnosed by the presence of the IDH mutations. The metabolic changes occurring as the consequence of the altered substrate affinity of the mutant IDH protein results in a cascade of intracellular changes, also inducing a relative sensitivity to chemotherapy and radiotherapy compared with IDHwt tumors. Pharmacologic blockade of the mutant enzyme with first-in-class inhibitors has been efficacious for the treatment of IDH-mutant acute myeloid leukemia (AML) and is currently being evaluated in phase III trials for IDH-mutant glioma (INDIGO) and cholangiocarcinoma (ClarIDHy). It seems likely that acquired resistance to mutant IDH inhibitors will eventually emerge, and combination therapies to augment the antitumor activity of mutant IDH inhibitors have already been initiated. Approaches to exploit, rather than inhibit, the unique metabolism of IDH-mutant cancer cells have emerged from laboratory studies and are now also being tested in the clinic. Results of these clinical trials are eagerly awaited and will likely provide new key insights and direction of the treatment of IDH-mutant human cancer.

SUBMITTER: van den Bent MJ

PROVIDER: S-EPMC7673204 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature

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Gray Areas in the Gray Matter: IDH1/2 Mutations in Glioma.

van den Bent Martin J MJ Mellinghoff Ingo K IK Bindra Ranjit S RS

American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting 20200301

Since the first discovery of isocitrate dehydrogenase (IDH) mutations in cancer, considerable progress has been made in our understanding of their contribution to cancer development. For glioma, this has helped to identify two diagnostic groups of tumors (oligodendroglioma and astrocytoma IDHmt) with distinct clinical characteristics and that are now diagnosed by the presence of the IDH mutations. The metabolic changes occurring as the consequence of the altered substrate af ...[more]

PMID: 32186930

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Project description:BackgroundDespite decades of research, there is continued uncertainty regarding whether autism is associated with a specific profile of gray matter (GM) structure. This inconsistency may stem from the widespread use of voxel-based morphometry (VBM) methods that combine indices of GM density and GM volume. If GM density or volume, but not both, prove different in autism, the traditional VBM approach of combining the two indices may obscure the difference. The present study measures GM density and volume separately to examine whether autism is associated with alterations in GM volume, density, or both.MethodsDifferences in MRI-based GM density and volume were examined in 6-25 year-olds with a diagnosis of autism spectrum disorder (n = 213, 80.8% male, IQ 47-154) and a typically developing (TD) sample (n = 190, 71.6% male, IQ 67-155). High-resolution T1-weighted anatomical images were collected on a single MRI scanner. Regional density and volume were estimated via whole-brain parcellation comprised of 1625 parcels. Parcel-wise analyses were conducted using generalized additive models while controlling the false discovery rate (FDR, q < 0.05). Volume differences in the 68-region Desikan-Killiany atlas derived from Freesurfer were also examined, to establish the generalizability of findings across methods.ResultsNo density differences were observed between the autistic and TD groups, either in individual parcels or whole brain mean density. Increased volume was observed in autism compared to the TD group when controlling for Age, Sex, and IQ, both at the level of the whole brain (total volume) and in 45 parcels (2.8% of total parcels). Parcels with greater volume included inferior, middle, and superior temporal gyrus, inferior and superior frontal gyrus, precuneus, and fusiform gyrus. Converging evidence from a standard Freesurfer pipeline also identified greater volume in a number of overlapping regions.LimitationsThe method for determining "density" is not a direct measure of neuronal density, and this study cannot reveal underlying cellular differences. While this study represents possibly the largest single-site sample of its kind, it is underpowered to detect very small differences.ConclusionsThese results provide compelling evidence that autism is associated with regional GM volumetric differences, which are more prominent than density differences. This underscores the importance of examining volume and density separately, and suggests that direct measures of volume (e.g. region-of-interest or tensor-based morphometry approaches) may be more sensitive to autism-relevant differences in neuroanatomy than concentration/density-based approaches.

Project description:IntroductionMutations in isocitrate dehydrogenase genes IDH1 or IDH2 are frequent in glioma, and IDH mutation status is a strong diagnostic and prognostic marker. Current IDH mutation screening is performed with an immunohistochemistry (IHC) assay specific for IDH1 R132H, the most common mutation. Sequencing is recommended as a second-step test for IHC-negative or -equivocal cases. We developed and validated a new real-time quantitative polymerase chain reaction (PCR) assay for single-step detection of IDH1 R132H and 11 rare IDH1/2 mutations in formalin-fixed paraffin-embedded (FFPE) glioma samples. Performance of the IDH1/2 PCR assay was compared to IHC and Sanger sequencing.ResultsThe IDH1/2 PCR assay combines PCR clamping for detection of 7 IDH1 and 5 IDH2 mutations, and Amplification Refractory Mutation System technology for specific identification of the 3 most common mutations (IDH1 R132H, IDH1 R132C, IDH2 R172K). Analytical sensitivity of the PCR assay for mutation detection was <5% for 11/12 mutations (mean: 3.3%), and sensitivity for mutation identification was very high (0.8% for IDH1 R132H; 1.2% for IDH1 R132C; 0.6% for IDH2 R172K). Assay performance was further validated on 171 clinical glioma FFPE samples; of these, 147 samples met the selection criteria and 146 DNA samples were successfully extracted. IDH1/2 status was successfully obtained in 91% of cases. All but one positive IDH1 R132H-IHC cases were concordantly detected by PCR and 3 were not detected by sequencing. Among the IHC-negative cases (n = 72), PCR detected 12 additional rare mutations (10 IDH1, 2 IDH2). All mutations detected by sequencing (n = 67) were concordantly detected by PCR and 5/66 sequencing-negative cases were PCR-positive (overall concordance: 96%). Analysis of synthetic samples representative of the 11 rare IDH1/2 mutations detected by the assay produced 100% correct results.ConclusionsThe new IDH1/2 PCR assay has a high technical success rate and is more sensitive than Sanger sequencing. Positive concordance was 98% with IHC for IDH1 R132H detection and 100% with sequencing. The PCR assay can reliably be performed on FFPE samples and has a faster turnaround time than current IDH mutation detection algorithms. The assay should facilitate implementation of a comprehensive IDH1/2 testing protocol in routine clinical practice.

Dataset Information

Gray Areas in the Gray Matter: IDH1/2 Mutations in Glioma.

Publications

Gray Areas in the Gray Matter: <i>IDH1/2</i> Mutations in Glioma.

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