Prognostic Value of IDH1 Mutations Identified with PCR-RFLP Assay in Glioblastoma Patients

Prognostic analysis and nomogram construction for older patients with IDH-wild-type glioblastoma

As many countries face an ageing population, the number of older patients with glioblastoma (GB) is increasing. Thus, there is an urgent need for prognostic models to aid in treatment decision-making and life planning. A total of 98 patients with isocitrate dehydrogenase (IDH)-wild-type GB aged ≥65 years were analysed from January 2012 to January 2020. Independent prognostic factors were identified by prognostic analysis. Using the independent prognostic factors for overall survival (OS), a nomogram was constructed by R software to predict the prognosis of older patients with IDH-wild-type GB. The concordance index (C-index) and receiver operating characteristic (ROC) curve were used to assess model discrimination, and the calibration curve was used to assess model calibration. Prognostic analysis showed that the extent of resection (EOR), adjusted Charlson comorbidity index (ACCI), O6-methylguanine-DNA methyltransferase (MGMT) methylation status, postoperative radiotherapy, and postoperative temozolomide (TMZ) chemotherapy were independent prognostic factors for OS. MGMT methylation status and subventricular zone (SVZ) involvement were independent prognostic factors for progression-free survival (PFS). A nomogram was constructed based on EOR, ACCI, MGMT methylation status, postoperative radiotherapy and postoperative TMZ chemotherapy to predict the 6-month, 12-month and 18-month OS of older patients with IDH-wild-type GB. The C-index of the nomogram was 0.72, and the ROC curves showed that the areas under the curve (AUCs) at 6, 12 and 18 months were 0.874, 0.739 and 0.779, respectively. The calibration plots showed that the nomogram was in good agreement with the actual observations in predicting the OS of older patients with IDH-wild-type GB. Older patients with IDH-wild-type GB can benefit from gross total resection (GTR), postoperative radiotherapy and postoperative TMZ chemotherapy. A high ACCI score and MGMT nonmethylation are poor prognostic factors. We constructed a nomogram including the ACCI to facilitate clinical decision-making and follow-up interval selection.

Clinical Evaluation of IDH Mutation Status in Formalin-Fixed Paraffin-Embedded Tissue in Gliomas

BACKGROUND AND OBJECTIVE

Determination of isocitrate dehydrogenase (IDH) 1/2 mutational status is crucial for a glioma diagnosis. It is common for IDH mutational status to be determined via a two-step algorithm that utilizes immunohistochemistry studies for IDH1 R132H, the most frequent variant, followed by next-generation sequencing studies for immunohistochemistry-negative or immunohistochemistry-equivocal cases. The objective of this study was to evaluate adding a rapid real-time polymerase chain reaction (RT-PCR) assay to the testing algorithm.  METHODS: We validated a modified, commercial, qualitative, RT-PCR assay with the ability to detect 14 variants in IDH1/2 in formalin-fixed paraffin-embedded glioma tumor specimens. The assay was validated using 51 tumor formalin-fixed paraffin-embedded specimens. During clinical implementation of this assay, 48 brain tumor specimens were assessed for IDH result concordance and turnaround time to result.

RESULTS

Concordance between the RT-PCR and sequencing and IHC studies was 100%. This RT-PCR assay also showed concordant results with IHC for IDH1 R132H for 11 of the 12 (92%) tumor specimens with IDH mutations. The RT-PCR assay yielded faster results (average 2.6 days turnaround time) in comparison to sequencing studies (17.9 days), with complete concordance.

CONCLUSIONS

In summary, we report that this RT-PCR assay can reliably be performed on formalin-fixed paraffin-embedded specimens and has a faster turnaround time than sequencing assays and can be clinically implemented for determination of IDH mutation status for patients with glioma.

Comparison of Polymerase Chain Reaction-Restriction Fragment Length Polymorphism, Immunohistochemistry, and DNA Sequencing for the Detection of IDH1 Mutations in Gliomas

BACKGROUND

IDH1 mutation shows diagnostic, prognostic, and predictive value in gliomas. Direct Sanger sequencing is considered the gold standard to detect IDH1 mutation. However, this technology is not available in most neuropathological centers in developing countries such as Indonesia. Immunohistochemistry (IHC) and polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) have also been used to detect IDH1 mutation. This study aimed to compare DNA sequencing, IHC, and PCR-RFLP in detecting IDH1 mutations in gliomas.

METHODS

Research subjects were recruited from Dr. Sardjito Hospital. Genomic DNA was extracted from fresh or formalin-fixed paraffin-embedded samples of tumor tissue. DNA sequencing, PCR-RFLP and IHC were performed to detect IDH1 mutation. Sensitivity, specificity, and accuracy of PCR-RFLP and IHC were calculated by comparing them to DNA sequencing as the gold standard.

RESULTS

Among 61 recruited patients, 13 (21.3%) of them carried a mutation in codon 132 of the IDH1 gene, as shown by DNA sequencing. PCR-RFLP and DNA sequencing have a concordance value of 100%. Meanwhile, the concordance value between IDH1 R132H IHC and DNA sequencing was 96.7%. The sensitivity, specificity, positive predictive values, negative predictive values, and accuracy for PCR-RFLP were all 100%. On the other hand, the sensitivity, specificity, and accuracy of IHC were 92.3%, 97.9%, and 96.7%, respectively.

CONCLUSION

This study showed that both PCR-RFLP and IHC have high accuracy in detecting IDH1 mutation. We recommend a combination of PCR-RFLP and IHC to detect IDH1 mutation in resource-limited settings.<br />.

Screening prognosis-related genes in glioblastoma by microarray analysis

This study was aimed to explore the prognosis-related biomarkers in glioblastoma and guide the therapy. The gene expression profile of glioblastoma samples with different prognosis outcomes was downloaded from National Center of Biotechnology Information Gene Expression Omnibus. The differently expressed genes (DEGs) among different samples were identified through pairwise comparison via Limma package of R. The DEGs were clustered using the Mfuzz package of R. The clusters with gene expression increasing or decreasing with the prognosis were selected, and functional enrichment of the selected genes was analyzed via the Database for Annotation, Visualization and Integrated Discovery. A protein-protein interaction (PPI) network of the selected genes was constructed through the Search Tool for Retrieval of Interacting Proteins and visualized by Cytoscape. The Cancer Genome Atlas database and IVY-GAP database were used to verify the DEGs. We analyzed the correlation between subtypes and the DEGs. Totally, 2649 DEGs were identified and divided into 10 clusters. Expression value of the genes in clusters 2 and 9 kept increasing and decreasing, respectively, with the improved prognosis. The DEGs of cluster 2/9 were enriched in 23/24 Gene Ontology terms and 6/4 Kyoto Encyclopedia of Genes and Genomes pathways. Annotation of transcription factor binding sites of DEGs revealed that most genes were regulated by transcription factors. In the PPI network, CACNA1D, GNAO1, STAT3 and ERBB3 had 11, 11, 11 and 10 node degree, respectively. Bioinformatics methods could help to identify significant genes and pathways in glioblastoma. CACNA1D, GNAO1, STAT3 and ERBB3 might serve as the prognostic biomarkers in glioblastoma.

Qualitative and Quantitative Analysis of IDH1 Mutation in Progressive Gliomas by Allele-Specific qPCR and Western Blot Analysis

To date, diagnosis of IDH1 mutation is based on DNA sequencing and immunohistochemistry, methods limited in terms of sensitivity and ease of use. Recently, the diagnosis of IDH1 mutation by real-time polymerase chain reaction was introduced as an alternative method. In this study, real-time polymerase chain reaction was validated as a tool for detection of IDH1 mutation, and expression levels were analyzed for correlation with course of the disease. A total of 113 tumor samples were obtained intraoperatively from 84 patients with glioma having a diagnosis of diffuse glioma (World Health Organization II), anaplastic glioma (World Health Organization III), secondary glioblastoma ± chemotherapy, primary glioblastoma ± chemotherapy (World Health Organization IV). Tumor samples were snap frozen and processed for sectioning and RNA and protein isolation. Presence of IDH1 mutation was determined by DNA sequencing. Hereafter, quantitative expression of IDH1 messenger RNA was assessed using real-time polymerase chain reaction with specific primers for IDH1 mutation and -wt; protein expression was verified by Western Blot analysis and immunohistochemistry. Additionally, 19 samples of low-grade glioma and their consecutive high-grade glioma were analyzed at different time points of the disease. IDH1 mutation was identified in 63% of samples by DNA sequencing. In correlation with the real-time polymerase chain reaction results, a cutoff value was determined. Above this threshold, sensitivity and specificity of real-time polymerase chain reaction in detecting IDH1 mutation were 98% and 94%, respectively. Quantitative analysis revealed that IDH1 mutation expression is upregulated in secondary glioblastoma (mean ± standard error of mean: 3.52 ± 0.55) compared to lower grade glioma (II = 1.54 ± 0.22; III = 1.67 ± 0.23). In contrast, IDH1 wt expression is upregulated in all glioma grades (concentration >0.1) compared to control brain tissue (0.007 ± 0.0016). Western Blot analysis showed a high concordance to both sequencing and real-time polymerase chain reaction results in qualitative analysis of IDH1 mutation status (specificity 100% and sensitivity 100%). Moreover, semiquantitative protein expression analysis also showed higher expression levels of mutated IDH1 in secondary glioblastoma. In our study, real-time polymerase chain reaction and Western Blot analysis were found to be highly efficient methods in detecting IDH1 mutation in glioma samples. As cost-effective and time-saving methods, real-time polymerase chain reaction and Western Blot analysis may therefore play an important role in IDH1 mutation analysis in the future. IDH1 mutation expression level was found to correlate with the course of disease to a certain extent. Yet, clinical factors as recurrent disease or prior radiochemotherapy did not alter IDH1 mutation expression level.

MRI texture analysis based on 3D tumor measurement reflects the IDH1 mutations in gliomas - A preliminary study

OBJECTIVE

To evaluate the differentiation efficiency of texture analysis of T1WI, T2WI and contrasted-enhanced T1WI MRI sequences in gliomas with and without IDH1 mutation based on entire tumor region.

MATERIALS AND METHODS

A total of 42 patients with histopathologically confirmed gliomas, including 21 patients carrying IDH1 mutation (IDH1^mutation group) and 21 with wild-type IDH1 (IDH1^wt group) were included in this study. The preoperative MRI and clinical data were collected. The regions of interest (ROIs) covering the entire tumor and edema were manually delineated on axial slices using O.K. (Omni Kinetics, GE Healthcare, China) software; and the histogram and GLCM features based on T1WI, T2WI and contrasted-enhanced T1WI sequences were automatically generated.

RESULTS

Based on contrasted-enhanced T1WI features, the inertia resulted as the best feature for diagnosis, with the AUC of 0.844. Furthermore, the AUC for gliomas prediction with IDH1^mutation was 0.800 for cluster prominence. IDH1-mutation was differentiated on T2WI with the highest AUC of 0.848, which corresponded to GLCM Entropy. After modeling, the accuracy of the contrasted-enhanced T1WI, T1WI, and T2WI features model was 0.952, 0.857, and 0.738, respectively. The AUC of Joint Variable_T1WI+C for predicting IDH1^mutation was 0.984, while the AUC of Joint Variable_T1WI for predicting the same mutation was 0.927. The diagnostic efficiency of Joint Variable_T2WI was also desirable.

CONCLUSION

MRI texture analysis could be used as a new noninvasive method for identification of gliomas with IDH1 mutation. The present results show that the Joint Variable derived from conventional MR imaging histogram and GLCM features is suitable for precise detection of IDH1-mutated gliomas.

Improve Glioblastoma Multiforme Prognosis Prediction by Using Feature Selection and Multiple Kernel Learning

Glioblastoma multiforme (GBM) is a highly aggressive type of brain cancer with very low median survival. In order to predict the patient's prognosis, researchers have proposed rules to classify different glioma cancer cell subtypes. However, survival time of different subtypes of GBM is often various due to different individual basis. Recent development in gene testing has evolved classic subtype rules to more specific classification rules based on single biomolecular features. These classification methods are proven to perform better than traditional simple rules in GBM prognosis prediction. However, the real power behind the massive data is still under covered. We believe a combined prediction model based on more than one data type could perform better, which will contribute further to clinical treatment of GBM. The Cancer Genome Atlas (TCGA) database provides huge dataset with various data types of many cancers that enables us to inspect this aggressive cancer in a new way. In this research, we have improved GBM prognosis prediction accuracy further by taking advantage of the minimum redundancy feature selection method (mRMR) and Multiple Kernel Machine (MKL) learning method. Our goal is to establish an integrated model which could predict GBM prognosis with high accuracy.

Case-Based Review: newly diagnosed glioblastoma

Glioblastoma (WHO grade IV astrocytoma) is the most common and most aggressive primary brain tumor in adults. Optimal treatment of a patient with glioblastoma requires collaborative care across numerous specialties. The diagnosis of glioblastoma may be suggested by the symptomatic presentation and imaging, but it must be pathologically confirmed via surgery, which can have dual diagnostic and therapeutic roles. Standard of care postsurgical treatment for newly diagnosed patients involves radiation therapy and oral temozolomide chemotherapy. Despite numerous recent trials of novel therapeutic approaches, this standard of care has not changed in over a decade. Treatment options under active investigation include molecularly targeted therapies, immunotherapeutic approaches, and the use of alternating electrical field to disrupt tumor cell division. These trials may be aided by new insights into glioblastoma heterogeneity, allowing for focused evaluation of new treatments in the patient subpopulations most likely to benefit from them. Because glioblastoma is incurable by current therapies, frequent clinical and radiographic assessment is needed after initial treatment to allow for early intervention upon progressive tumor when it occurs.

Decreasing GSH and increasing ROS in chemosensitivity gliomas with IDH1 mutation

Gliomas are the most malignant and aggressive primary brain tumor in adults. Despite concerted efforts to improve therapies, their prognosis remains very poor. Isocitrate dehydrogenase 1 (IDH1) mutations have been discovered frequently in glioma patients and are strongly correlated with improved survival. However, the effect of IDH1 mutations on the chemosensitivity of gliomas remains unclear. In this study, we generated clonal U87 and U251 glioma cell lines overexpressing the R132H mutant protein (IDH1-R132H). Compared with control cells and cells overexpressing IDH wild type (IDH1-WT), both types of IDH1-R132H cells were more sensitive to temozolomide (TMZ) and cis-diamminedichloroplatinum (CDDP) in a time- and dose-dependent manner. The IDH1-R132H-induced higher chemosensitivity was associated with nicotine adenine disphosphonucleotide (NADPH), glutathione (GSH) depletion, and reactive oxygen species (ROS) generation. Accordingly, this IDH1-R132H-induced growth inhibition was effectively abrogated by GSH in vitro and in vivo. Our study provides direct evidence that the improved survival in patients with IDH1-R132H tumors may partly result from the effects of the IDH1-R132H protein on chemosensitivity. The primary cellular events associated with improved survival are the GSH depletion and increased ROS generation.

A new sensitive PCR assay for one-step detection of 12 IDH1/2 mutations in glioma

INTRODUCTION

Mutations 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.

RESULTS

The 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.

CONCLUSIONS

The 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.

Clinical and molecular models of glioblastoma multiforme survival

Glioblastoma multiforme (GBM), a highly aggressive form of brain cancer, results in a median survival of 12-15 months. For decades, researchers have explored the effects of clinical and molecular factors on this disease and have identified several candidate prognostic markers. In this study, we evaluated the use of multivariate classification models for differentiating between subsets of patients who survive a relatively long or short time. Data for this study came from The Cancer Genome Atlas (TCGA), a public repository containing clinical, treatment, histological and biomolecular variables for hundreds of patients. We applied variable-selection and classification algorithms in a cross-validated design and observed that predictive performance of the resulting models varied substantially across the algorithms and categories of data. The best-performing models were based on age, treatments and global DNA methylation. In this paper, we summarise our findings, discuss lessons learned in analysing TCGA data and offer recommendations for performing such analyses.

Prognostic value of IDH1 mutations identified with PCR-RFLP assay in acute myeloid leukemia patients

BACKGROUND

Somatic mutations in isocitrate dehydrogenase 1 (IDH1) gene occur frequently in primary brain tumors. Recently theses mutations were demonstrated in acute myeloid leukemia (AML). So far, assessment of these mutations relied on the DNA sequencing technique.

AIM OF THE WORK

The aim of this study was to detect somatic mutations in IDH1 gene using mismatched primers suitable for endonuclease based detection, without the need for DNA sequencing, and to estimate its prognostic value, on patients with de novo AML.

METHODS

Residual DNA extracted from pretreatment bone marrow (BM) samples of 100 patients with de novo AML was used. The polymerase chain reaction-restriction fragment length polymorphism method (PCR-RFLP) was adapted to IDH1gene, codon 132 mutations screening.

RESULTS

The frequency of IDH1 mutations was 13%. In the non-acute promyelocytic leukemia group (non-APL), IDH1 mutations were significantly associated with FLT3-ITD negative patients (p=0.03). Patients with IDH1 mutations did not achieve complete remission (CR). There was a trend for shorter overall survival (OS) in patients with IDH1 mutation compared to those with wild type (p=0.08).

CONCLUSION

IDH1 mutations are recurring genetic alterations in AML and they may have unfavorable impact on clinical outcome in adult AML. The PCR-RFLP method allows for a fast, inexpensive, and sensitive method for the detection of IDH1 mutations in AML.

Novel multiplex bead-based assay for detection of IDH1 and IDH2 mutations in myeloid malignancies

Isocitrate dehydrogenase 1 and 2 (IDH) mutations are frequently found in various cancer types such as gliomas, chondrosarcomas and myeloid malignancies. Their molecular detection has recently gained wide recognition in the diagnosis and prognosis of these neoplasms. For that purpose various molecular approaches have been used but a universally accepted method is still lacking. In this study we aimed to develop a novel bead-based liquid assay using Locked nucleic acids (LNA)-modified oligonucleotide probes for multiplexed detection of the most frequent IDH1 (p.R132C, p.R132G, p.R132H, p.R132L, p.R132S) and IDH2 (p.R140Q, p.R172K) mutations. The method includes four steps: 1) PCR amplification of the targeted fragments with biotinylated primers; 2) Direct hybridization to barcoded microbeads with specific LNA-modified oligonucleotide probes; 3) Incubation with phycoerythrin coupled streptavidin; 4) Acquisition of fluorescent intensities of each set of beads on a flow platform (LuminexCorp., USA). We tested the performance of the assay on both artificial plasmid constructs and on clinical samples from 114 patients with known or suspected myeloid malignancies. The method appeared to be superior to direct sequencing having a much higher sensitivity of 2.5% mutant alleles. Applying this method to patients' samples we identified a total of 9 mutations (one IDH1 p.R132C, seven IDH2 p.R140Q and one IDH2 p.R172K). In conclusion, this method could be successfully implemented in the diagnostic work-up for various tumors known to harbor IDH1/2 mutations (e.g. myeloid malignancies, gliomas, etc.). International initiatives are needed to validate the different existing methods for detection of IDH1/2 mutations in clinical settings.

Expanding the spectrum of IDH1 mutations in gliomas

Mutations in isocitrate dehydrogenase -1 or -2 (IDH1 or IDH2) are found in the majority of WHO grade II and III diffuse gliomas and secondary glioblastomas. IDH mutation screening is rapidly becoming part of the routine pathological work up of human brain tumors, providing both diagnostic and prognostic information. Here, we characterize four rare and novel IDH1 mutations identified in surgical human glioma samples: two instances of an IDH1 p.R132S mutation caused by a previously undescribed dinucleotide deletion/insertion mutation, a novel homozygous somatic IDH1 p.R132L mutation, and an IDH1 p.R100Q mutation. Characterization of novel and rare IDH mutations may provide additional insight into the mechanisms of mutant IDH in neoplasia. Furthermore, given the clinical import of IDH status, these results highlight the need for comprehensive mutation screening, beyond the targeted identification of common pathogenic variants.

Comparative study of IDH1 mutations in gliomas by immunohistochemistry and DNA sequencing

BACKGROUND

Mutations involving isocitrate dehydrogenase 1 (IDH 1) occur in a high proportion of diffuse gliomas, with implications on diagnosis and prognosis. About 90% involve exon 4 at codon 132, replacing amino acid arginine with histidine (R132H). Rarer ones include R132C, R132S, R132G, R132L, R132V, and R132P. Most authors have used DNA-based methods to assess IDH1 status. Preliminary studies comparing imunohistochemistry (IHC) with IDH1-R132H mutation-specific antibodies have shown concordance with DNA sequencing and no cross-reactivity with wild-type IDH1 or other mutant proteins. The present study compares results of IHC with DNA sequencing in diffuse gliomas.

MATERIALS AND METHODS

Fifty diffuse gliomas with frozen tissue samples for DNA sequencing and adequate tissue in paraffin blocks for IHC using IDH1-R132H specific antibody were assessed for IDH1 mutations.

RESULTS

Concordance of findings between IHC and DNA sequencing was noted in 88% (44/50) cases. All 6 cases with discrepancy were immunopositive with DIA-H09 antibody. While in 3 of these 6 cases, DNA sequencing failed to reveal any mutations, R132L (arginine replaced by leucine) mutation was found in the rest 3 cases. Interestingly, of the immunopositive cases, 46.6% (14/30) showed immunostaining in only a fraction of tumor cells.

CONCLUSIONS

IHC is an easy and quick method of detecting IDH1-R132H mutations, but there may be some discrepancies between IHC and DNA sequencing. Although there were no false-negative cases, cross-reactivity with IDH1-R132L was seen in 3, a finding not reported thus far. Because of more universal availability of IHC over genetic testing, cross-reactivity and staining heterogeneity may have bearing over its use in detecting IDH1-R132H mutation in gliomas.

IDH1 mutation of gliomas with long-term survival analysis

A recurrent mutation affecting codon 132 of the isocitrate dehydrogenase 1 (IDH1) gene has been found in ~5% of primary glioblastomas (GBMs), but in >70% of secondary GBMs or oligodendroglial and astrocytic tumors. We investigated IDH1 mutations in a series of 134 brain tumors to determine the prevalence and prognostic impact of IDH1 mutations. We also examined the correlations among histology, p53 and PTEN immunoexpression, MGMT methylation status, 1p 19q co-deletion and EGFR gene amplification. The 134 brain tumors included 41 low-grade oligodendrogliomas (LOs), 47 anaplastic oligodendrogliomas (AOs) and 46 primary GBMs. Data showed that 53.7% (72/134) of cases showed mutations affecting codon 132 of IDH1, including 73.2% of LOs, 82.9% of AOs and three primary GBMs (6.5%). All IDH1 mutations were Arg132His. In a survival analysis, patients with IDH1 mutations had better survival compared to those with wild-type IDH1 (p<0.05) in LOs and AOs, but not in primary GBMs (p=0.587). In addition, in patients with both IDH1 mutation and MGMT methylation, p53 overexpression was a significant poor prognostic factor both in LOs and AOs. However, IDH1 mutation was not correlated with common genetic profiles that affect patient prognosis, including MGMT methylation, 1p 19q co-deletion, PTEN loss and EGFR amplification in LOs, AOs and GBMs. From our results, IDH1 mutation was an independent positive prognostic factor in LOs and AOs, especially in the absence of p53 overexpression.

Isocitrate dehydrogenase mutations in gliomas: mechanisms, biomarkers and therapeutic target

PURPOSE OF REVIEW

Isocitrate dehydrogenases, IDH1 and IDH2, decarboxylate isocitrate to α-ketoglutarate (α-KG) and reduce NADP to NADPH. Point mutations of IDH1 and IDH2 have been discovered in gliomas. IDH mutations cause loss of native enzymatic activities and confer novel activity of converting α-KG to 2-hydroxyglutarate (2-HG). The mechanisms of IDH mutations in gliomagenesis, and their value as diagnostic, prognostic marker and therapeutic target have been extensively studied. This review is to summarize the findings of these studies.

RECENT FINDINGS

Crystal structural studies revealed conformation changes in mutant IDHs, which may explain the gain of function by mutant IDHs. The product of mutant IDHs, 2-HG, is an inhibitor of α-KG-dependent dioxygenases, which may cause genome-wide epigenetic changes in human gliomas. IDH mutations are a favorable prognostic factor for human glioma and can be used as biomarker for differential diagnosis and subclassification rather than predictor of response to treatment. Preliminary data suggested that inhibiting production of the substrate of mutant IDH enzymes caused slow-down of glioma cell growth.

SUMMARY

As valuable diagnostic and prognostic markers of human gliomas, there is still a lack of knowledge on biological functions of mutant IDHs, making targeting IDHs in glioma both difficult and unsecured.

Glioblastoma biomarkers from bench to bedside: advances and challenges

Glioblastoma multiforme (GBM) is the most common and aggressive primary brain tumour, with few available therapies providing significant improvements in mortality. Biomarkers, which are defined by the National Institutes of Health as 'characteristics that are objectively measured and evaluated as indicators of normal biologic processes, pathogenic processes, or pharmacologic responses to a therapeutic intervention', have the potential to play valuable roles in the diagnosis and treatment of GBM. Although GBM biomarker research is still in its early stages because of the tumour's complex pathophysiology, a number of potential markers have been identified which can be measured in either brain tissue or blood serum. In conjunction with other clinical data, particularly neuroimaging modalities such as MRI, these proteins could contribute to the clinical management of GBM by helping to classify tumours, predict prognosis and assess treatment response. In this article, we review the current understanding of GBM pathophysiology and recent advances in GBM biomarker research, and discuss the potential clinical implications of promising biomarkers. A better understanding of GBM pathophysiology will allow researchers and clinicians to identify optimal biomarkers and methods of interpretation, leading to advances in tumour classification, prognosis prediction and treatment assessment.

Isocitrate dehydrogenase mutations in diffuse gliomas: clinical and aetiological implications

The discovery of isocitrate dehydrogenase (IDH) mutations in gliomas is one example of the large impact that next-generation sequencing is having on the understanding of tumour biology and human disease in general. IDH mutations are early and common events in the development of astrocytomas, oligodendrogliomas and oligoastrocytomas. IDH mutations are also found in some myeloid malignancies and soft tissue tumours, but are rare in other malignancies. IDH mutation detection can be incorporated into routine pathology practice via immunohistochemistry and/or standard sequencing techniques and has great diagnostic value. An emerging theme is that IDH mutation status in gliomas is of great prognostic relevance, and there are proposals to include IDH mutation status in the next iteration of the WHO classification of gliomas. The mechanisms of action(s) of mutant IDH are not fully understood, but the understanding is progressing rapidly, and may provide a mechanism to link diverse proneoplastic processes such as oxidative damage and epigenetic dysregulation. There are exciting prospects of novel therapies for glioma patients emerging from the elucidation of these mechanisms. Given the diagnostic and prognostic implications of IDH mutation, and the potential for new therapies, all gliomas should be assessed for IDH mutation status in the future.

Rapid and reliable detection of IDH1 R132 mutations in acute myeloid leukemia using high-resolution melting curve analysis

OBJECTIVE

The mutations of isocitrate dehydrogenase 1 (IDH1) gene have been identified in a proportion of hematologic malignancies including acute myeloid leukemia (AML). The aim of the present study was to explore the reliability of the high-resolution melting analysis (HRMA) for the identification of IDH1 R132 mutations in AML.

DESIGNS AND METHODS

We evaluated the sensitivity of HRMA in the detection of IDH1 R132 mutation and screened IDH1 mutations in 110 AML patients using HRMA. The results of HRMA were validated by direct DNA sequencing.

RESULTS

The reproducible sensitivity of HRMA was 5% for the detection of IDH1 R132 mutation, higher than 10% of direct DNA sequencing. Heterozygous IDH1 mutations were identified in 4 (3.6%) AML cases, which were R132H in 3 cases and R132S in 1 case confirmed by DNA sequencing.

CONCLUSION

The HRMA is a rapid, accurate, reliable, high-throughput method to screen IDH1 gene mutations.

Molecular diagnostics of gliomas: state of the art

Modern neuropathology serves a key function in the multidisciplinary management of brain tumor patients. Owing to the recent advancements in molecular neurooncology, the neuropathological assessment of brain tumors is no longer restricted to provide information on a tumor's histological type and malignancy grade, but may be complemented by a growing number of molecular tests for clinically relevant tissue-based biomarkers. This article provides an overview and critical appraisal of the types of genetic and epigenetic aberrations that have gained significance in the molecular diagnostics of gliomas, namely deletions of chromosome arms 1p and 19q, promoter hypermethylation of the O6-methylguanine-methyl-transferase (MGMT) gene, and the mutation status of the IDH1 and IDH2 genes. In addition, the frequent oncogenic aberration of BRAF in pilocytic astrocytomas may serve as a novel diagnostic marker and therapeutic target. Finally, this review will summarize recent mechanistic insights into the molecular alterations underlying treatment resistance in malignant gliomas and outline the potential of genome-wide profiling approaches for increasing our repertoire of clinically useful glioma markers.