IDH1/2 gene status defines the prognosis and molecular profiles in patients with grade III gliomas

Background

The discovery of isocitrate dehydrogenase 1 and 2 gene (IDH1/2) mutations has enabled grade III glioma to be divided into mutated and wild-type IDH1/2 groups, which are known to carry different prognosis and molecular features. However, detailed subgroup analysis of grade III glioma is limited. To address this, we investigated molecular and prognostic features of grade III glioma with and without IDH1/2 mutation.

Methods

We retrospectively analyzed 115 grade III glioma patients. Clinical parameters were obtained from medical records. The mutation of IDH1/2 and TP53 was analyzed by direct sequencing. O⁶-methylguanine methyltransferase gene (MGMT) gene promoter methylation status was determined by methylation-specific polymerase chain reaction. Detection of chromosome copy number changes of 1p, 7p (EGFR), 9p (CDKN2A), 10q (PTEN), and 19q was carried out by multiple ligation-dependent probe amplification. Patients were divided into two groups, mutated IDH1/2 and wild-type IDH1/2, for correlation with the factors analyzed.

Results

In our series, as previously reported, IDH1/2 mutation was an independent prognostic marker for improved progression-free and overall survival (OS) (P < 0.0001 and P < 0.0001, respectively) in patients with grade III gliomas. Subgroup analysis found that incomplete resection, 7p gain, and TP53 mutation were independent prognostic factors of poor outcome in grade III glioma patients with mutated IDH1/2 (P = 0.0092, P = 0.015 and P = 0.026, respectively), while there were none in patients with wild-type IDH1/2.

Conclusions

IDH1/2 gene status was significantly associated with prognosis in grade III gliomas. Subgroup analysis found that poor prognostic factors existed even in patients with IDH1/2 mutation.     

IDH mutation, 1p19q codeletion and ATRX loss in WHO grade II gliomas

Background

Epigenetic, genetic, and molecular studies have identified several diagnostic and prognostic markers in diffuse gliomas. Their importance for evaluating WHO grade II gliomas has yet to be specifically delineated.

Methods

We analyzed markers, including IDH mutation(IDHmut), 1p19q codeletion(1p19qcodel), ATRX expression loss(ATRX loss) and p53 overexpression, and outcomes in 159 patients with WHO grade II oligodendroglioma, oligoastrocytoma, and astrocytoma (2003–2012).

Results

IDHmut was found in 141(91%) and ATRX loss in 64(87%) of IDHmut-noncodel tumors (p = 0.003). All codeleted tumors (n = 66) were IDHmut. Four subgroups were identified: IDHmut-codel, 66(43%); IDHmut-noncodel-ATRX loss, 60(39%); IDHmut-noncodel-ATRXwt, 9(6%); IDHwt, 14(9%). Median survival among 4 groups was significantly different (p = 0.038), particularly in IDHmut-codel (median survival 15.6 years) compared to the remaining 3 groups (p = 0.025). Survival by histology was not significant. Overall (OS), but not progression-free (PFS), survival was significantly longer with gross total resection vs. biopsy only (p = 0.042). Outcomes for patients with subtotal resection were not significantly different from those with biopsy only. Among these uniformly treated patients, OS far exceeds PFS, particularly in those with 1p/19q codeletion.

Conclusions

For WHO grade II diffuse glioma, molecular classification using 1p/19qcodel, IDHmut, and ATRX loss more accurately predicts outcome and should be incorporated in the neuropathologic evaluation.     

Molecular signatures classify astrocytic gliomas by IDH1 mutation status

To identify novel glioma‐associated pathomechanisms and molecular markers, we performed an array‐based comparative genomic hybridization analysis of 131 diffuse astrocytic gliomas, including 87 primary glioblastomas (pGBIV), 13 secondary glioblastomas (sGBIV), 19 anaplastic astrocytomas (AAIII) and 12 diffuse astrocytomas (AII). All tumors were additionally screened for IDH1 and IDH2 mutations. Expression profiling was performed for 74 tumors (42 pGBIV, 11 sGBIV, 13 AAIII, 8 AII). Unsupervised and supervised bioinformatic analyses revealed distinct genomic and expression profiles separating pGBIV from the other entities. Classifier expression signatures were strongly associated with the IDH1 gene mutation status. Within pGBIV, the rare subtype of IDH1 mutant tumors shared expression profiles with IDH1 mutant sGBIV and was associated with longer overall survival compared with IDH1 wild‐type tumors. In patients with IDH1 wild‐type pGBIV, PDGFRA gain or amplification as well as 19q gain were associated with patient outcome. Array‐CGH analysis additionally revealed homozygous deletions of the FGFR2 gene at 10q26.13 in 2 pGBIV, with reduced FGFR2 mRNA levels being frequent in pGBIV and linked to poor outcome. In conclusion, we report that diffuse astrocytic gliomas can be separated into 2 major molecular groups with distinct genomic and mRNA profiles as well as IDH1 gene mutation status. In addition, our results suggest FGFR2 as a novel glioma‐associated candidate tumor suppressor gene on the long arm of chromosome 10.     

Invasion and proliferation kinetics in enhancing gliomas predict IDH1 mutation status

Background

Glioblastomas with a specific mutation in the isocitrate dehydrogenase 1 (IDH1) gene have a better prognosis than gliomas with wild-type IDH1.

Methods

Here we compare the IDH1 mutational status in 172 contrast-enhancing glioma patients with the invasion profile generated by a patient-specific mathematical model we developed based on MR imaging.

Results

We show that IDH1-mutated contrast-enhancing gliomas were relatively more invasive than wild-type IDH1 for all 172 contrast-enhancing gliomas as well as the subset of 158 histologically confirmed glioblastomas. The appearance of this relatively increased, model-predicted invasive profile appears to be determined more by a lower model-predicted net proliferation rate rather than an increased model-predicted dispersal rate of the glioma cells. Receiver operator curve analysis of the model-predicted MRI-based invasion profile revealed an area under the curve of 0.91, indicative of a predictive relationship. The robustness of this relationship was tested by cross-validation analysis of the invasion profile as a predictive metric for IDH1 status.

Conclusions

The strong correlation between IDH1 mutation status and the MRI-based invasion profile suggests that use of our tumor growth model may lead to noninvasive clinical detection of IDH1 mutation status and thus lead to better treatment planning, particularly prior to surgical resection, for contrast-enhancing 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.     

Imaging correlates for the 2016 update on WHO classification of grade II/III gliomas: implications for IDH, 1p/19q and ATRX status

The 2016 World Health Organization Classification of Tumors of the Central Nervous System incorporates the use of molecular information into the classification of brain tumors, including grade II and III gliomas, providing new prognostic information that cannot be delineated based on histopathology alone. We hypothesized that these genomic subgroups may also have distinct imaging features. A retrospective single institution study was performed on 40 patients with pathologically proven infiltrating WHO grade II/III gliomas with a pre-treatment MRI and molecular data on IDH, chromosomes 1p/19q and ATRX status. Two blinded Neuroradiologists qualitatively assessed MR features. The relationship between each parameter and molecular subgroup (IDH-wildtype; IDH-mutant-1p/19q codeleted-ATRX intact; IDH-mutant-1p/19q intact-ATRX loss) was evaluated with Fisher’s exact test. Progression free survival (PFS) was also analyzed. A border that could not be defined on FLAIR was most characteristic of IDH-wildtype tumors, whereas IDH-mutant tumors demonstrated either well-defined or slightly ill-defined borders (p?=?0.019). Degree of contrast enhancement and presence of restricted diffusion did not distinguish molecular subgroups. Frontal lobe predominance was associated with IDH-mutant tumors (p?=?0.006). The IDH-wildtype subgroup had significantly shorter PFS than the IDH-mutant groups (p?<?0.001). No differences in PFS were present when separating by tumor grade. FLAIR border patterns and tumor location were associated with distinct molecular subgroups of grade II/III gliomas. These imaging features may provide fundamental prognostic and predictive information at time of initial diagnostic imaging.     

2-Hydroxyglutarate concentration in serum from patients with gliomas does not correlate with IDH1/2 mutation status or tumor size

IDH1/2 mutations occur at high frequency in diffusely infiltrating gliomas of the WHO grades II and III and were identified as a strong prognostic marker in all WHO grades of gliomas. Mutated IDH1 or IDH2 protein leads to the generation of excessive amounts of the metabolite 2-hydroxyglutarate (2HG) in tumor cells. Here, we evaluated whether 2HG levels in preoperative serum samples from patients with gliomas correlate with the IDH1/2 mutation status and whether there is an association between 2HG levels and glioma size. In contrast to the strong accumulation of 2HG in the serum of patients with IDH1/2 mutated acute myeloid leukaemia, no accumulation was observed in this series of IDH1/2 mutated gliomas. Furthermore, we found no association between glioma size measured by magnetic resonance imaging and 2HG levels. We conclude that 2HG levels in preoperative sera from patients with diffusely infiltrating gliomas of the WHO grades II and III cannot be used as a marker to differentiate between tumors with versus without IDH1/2 mutation. Furthermore, the observation that there is no correlation between 2HG levels and tumor volume may indicate that 2HG cannot be utilized as marker to monitor tumor growth in gliomas.     

Erratum to: Imaging correlates for the 2016 update on WHO classification of grade II/III gliomas: implications for IDH, 1p/19q and ATRX status

Journal of Neuro-Oncology - In the initial online publication, the values in the last two rows in Table&;nbsp;1 were in the wrong rows. The original article has been corrected.     

Phase II study of imatinib mesylate and hydroxyurea for recurrent grade III malignant gliomas

Purpose Recent reports demonstrate the activity of imatinib mesylate, an ATP-mimetic, tyrosine kinase inhibitor, plus hydroxyurea, a ribonucleotide reductase inhibitor, in patients with recurrent glioblastoma multiforme. We performed the current phase 2 study to evaluate this regimen among patients with recurrent WHO grade III malignant glioma (MG). Patients and method Patients with grade III MG at any recurrence, received imatinib mesylate plus hydroxyurea (500 mg twice a day) orally on a continuous, daily schedule. The imatinib mesylate dose was 500 mg twice a day for patients on enzyme inducing anti-epileptic drugs (EIAEDs) and 400 mg once a day for those not on EIAEDs. Clinical assessments were performed monthly and radiographic assessments were obtained at least every 2 months. The primary endpoint was 6-month progression-free survival (PFS) rate. Results Thirty-nine patients were enrolled. All patients had progressive disease after prior radiotherapy and at least temozolomide-based chemotherapy. The median number of episodes of prior progression was 2 (range, 1–7) and the median number of prior treatment regimens was 3 (range, 1–8). With a median follow-up of 82.9 weeks, 24% of patients were progression-free at 6 months. The radiographic response rate was 10%, while 33% achieved stable disease. Among patients who achieved at least stable disease at first evaluation, the 6-month and 12-month PFS rates were 53% and 29%, respectively. The most common grade 3 or greater toxicities were hematologic and complicated less than 4% of administered courses. Conclusion Imatinib mesylate plus hydroxyurea, is well tolerated and associated with anti-tumor activity in some patients with recurrent grade 3 MG. Supported by National Institutes of Health grant nos. 1-P50-CA108786-01, NS20023 and CA11898 and by grant no. MO1 RR 30 through the General Clinical Research Centers Program, National Center for Research Resources, National Institutes of Health.     

Overexpression of CD44 is associated with a poor prognosis in grade II/III gliomas

Journal of Neuro-Oncology - Overexpression of CD44 has been detected in many types of tumor tissues. Moreover, CD44 is recognized as a cancer stem cell marker for many cancers. However, the...     

IDH1/2 mutation status combined with Ki-67 labeling index defines distinct prognostic groups in glioma

The current World Health Organization (WHO) classification of human gliomas is mainly based on morphology. However, it has limitations in prognostic prediction. We examined whether combining isocitrate dehydrogenase (IDH) 1/2 mutation status with the Ki-67 labeling index would improve the definition of prognostically distinct entities. We investigated the correlation of Ki-67 expression with IDH1/2 mutation status and their impact on clinical outcome in 703 gliomas. Low Ki-67 expression closely overlapped with IDH1/2 mutation in our cohort (P < 0.0001). Patients with IDH1/2 mutation survived significantly longer than patients with wild-type IDH1/2 did (P < 0.0001); higher Ki-67 expression was associated with shorter progression-free survival and overall survival (OS) (P < 0.0001). IDH1/2 combined with Ki-67 was used to re-classify glioma patients into five groups. IDH1/2 mutant patients with low and moderate Ki-67 expression (Group1) had the best prognosis, whereas patients with wild-type IDH1/2 and high Ki-67 expression (Group5) had the worst prognosis (Median OS = 1527 vs. 355 days, P < 0.0001). To summarize, our new classification model distinguishes biologically distinct subgroups and provides prognostic information regardless of the conventional WHO grade. Classification based on IDH1/2 mutation status and Ki-67 expression level could be more convenient for clinical application and guide personalized treatment in malignant gliomas.     

Immunohistochemistry on IDH 1/2, ATRX,p53 and Ki-67 substitute molecular genetic testing and predict patient prognosis in grade III adult diffuse gliomas

The molecular subgrouping of diffuse gliomas was recently found to stratify patients into prognostically distinct groups better than histological classification. Among several molecular parameters, the key molecules for the subtype diagnosis of diffuse gliomas are IDH mutation, 1p/19q co-deletion, and ATRX mutation; 1p/19q co-deletion is undetectable by immunohistochemistry, but is mutually exclusive with ATRX and p53 mutation in IDH mutant gliomas. Therefore, we applied ATRX and p53 immunohistochemistry instead of 1p/19q co-deletion analysis. The prognostic value of immunohistochemical diagnosis for Grade III gliomas was subsequently investigated. Then, the same immunohistochmical diagnostic approach was expanded for the evaluation of Grade II and IV diffuse glioma prognosis. The results indicate immunohistochemical analysis including IDH1/2, ATRX, p53, and Ki-67 index is valuable for the classification of diffuse gliomas, which is useful for the evaluation of prognosis, especially Grade III gliomas and lower-grade gliomas (i.e., Grade II and III).     

Detection of IDH1 mutation in human gliomas: comparison of immunohistochemistry and sequencing

Isocitrate dehydrogenase 1 (IDH1) mutations have recently been identified as early and frequent genetic alterations in astrocytomas, oligodendrogliomas, and oligoastrocytomas, as well as secondary glioblastomas, whereas primary glioblastomas very rarely contain IDH1 mutations. Furthermore, a specific monoclonal antibody, IMab-1, which recognizes IDH1-R132H—the most frequent IDH1 mutation—has been generated. IMab-1 has been reported to react with the IDH1-R132H protein, but not the wild-type IDH1 or the other IDH1 mutant proteins in Western-blot analysis. However, the importance of immunohistochemistry using IMab-1 has not yet been elucidated. In this study, we compared the findings from IMab-1 immunohistochemistry and direct DNA sequencing using 49 glioma samples. IMab-1 detected 12 out of 49 cases; however, only nine cases were found to be IDH1-R132H by direct DNA sequencing because of a small population of IDH1-R132H mutation-possessing tumor cells, indicating that IMab-1 immunohistochemistry is useful for detecting IDH1-R132H. We conducted immunohistochemical detection in 52 cases of grade III astrocytomas. The median time to progression (TTP) was significantly longer in the cases with the IDH1 mutation (86.7 months) compared to the cases without the IDH1 mutation (wild type, 10.4 months) (p < 0.01). In conclusion, the anti-IDH1-R132H-specific monoclonal antibody IMab-1 is very useful for detecting IDH1-R132H in immunohistochemistry, and predicting the time to progression in grade III anaplastic astrocytomas. Therefore, IMab-1 is likely to be useful for the diagnosis of mutation-bearing gliomas and for determining the treatment strategy of grade III gliomas.