Hideyuki Arita

Revisiting TP53 Mutations and Immunohistochemistry—A Comparative Study in 157 Diffuse Gliomas

The association between p53 immunohistochemistry and TP53 mutation status has been controversial. The present study aims to re‐evaluate the efficacy of p53 immunohistochemistry to predict the mutational status of TP53. A total of 157 diffuse gliomas (World Health Organization grades II–IV) were assessed by exon‐by‐exon DNA sequencing from exon 4 through 10 of TP53 using frozen tissue samples. Immunohistochemistry with a p53 antibody (DO‐7) on paired formalin‐fixed paraffin‐embedded materials was assessed for the extent and intensity of reactivity in all cases. A total of 72 mutations were detected in 66 samples. They included 60 missense mutations, five nonsense mutations, four deletions and three alterations in the splicing sites. A receiver operating characteristic curve analysis revealed that strong p53 immunoreactivity in more than 10% of cells provided the most accurate prediction of mutation. Using this cutoff value, 52 of 55 immunopositive cases harbored a mutation, whereas only 14 of 102 immunonegative cases showed mutations, sensitivity and specificity being 78.8% and 96.7%. Tumors with frameshift mutations frequently showed negative immunostaining. Staining interpretation by an independent observer yielded comparable accuracy. We thus propose p53 immunohistochemistry as a moderately sensitive and highly specific marker to predict TP53 mutation.

Recurrent mutations of CD79B and MYD88 are the hallmark of primary central nervous system lymphomas

Primary central nervous system lymphoma (PCNSL) manifest aggressive clinical behaviour and have poor prognosis. Although constitutive activation of the nuclear factor‐κB (NF‐κB) pathway has been documented, knowledge about the genetic alterations leading to the impairment of the NF‐κB pathway in PCNSLs is still limited. This study was aimed to unravel the underlying genetic profiles of PCNSL.

A combination of TERT promoter mutation and MGMT methylation status predicts clinically relevant subgroups of newly diagnosed glioblastomas

The prognostic impact of TERT mutations has been controversial in IDH-wild tumors, particularly in glioblastomas (GBM). The controversy may be attributable to presence of potential confounding factors such as MGMT methylation status or patients’ treatment. This study aimed to evaluate the impact of TERT status on patient outcome in association with various factors in a large series of adult diffuse gliomas. We analyzed a total of 951 adult diffuse gliomas from two cohorts (Cohort 1, n = 758; Cohort 2, n = 193) for IDH1/2, 1p/19q, and TERT promoter status. The combined IDH/TERT classification divided Cohort 1 into four molecular groups with distinct outcomes. The overall survival (OS) was the shortest in IDH wild-type/TERT mutated groups, which mostly consisted of GBMs (P < 0.0001). To investigate the association between TERT mutations and MGMT methylation on survival of patients with GBM, samples from a combined cohort of 453 IDH-wild-type GBM cases treated with radiation and temozolomide were analyzed. A multivariate Cox regression model revealed that the interaction between TERT and MGMT was significant for OS (P = 0.0064). Compared with TERT mutant-MGMT unmethylated GBMs, the hazard ratio (HR) for OS incorporating the interaction was the lowest in the TERT mutant-MGMT methylated GBM (HR, 0.266), followed by the TERT wild-type-MGMT methylated (HR, 0.317) and the TERT wild-type-MGMT unmethylated GBMs (HR, 0.542). Thus, patients with TERT mutant-MGMT unmethylated GBM have the poorest prognosis. Our findings suggest that a combination of IDH, TERT, and MGMT refines the classification of grade II-IV diffuse gliomas.

TERT promoter mutations rather than methylation are the main mechanism for TERT upregulation in adult gliomas

observed TERT upregulation in some tumors without mutations in the hotspots. A small subset of tumors had neither TERT nor ATRX mutations [9]. Recently, it has been reported that DNA hypermethylation of the TERT promoter is a common finding in pediatric brain tumors and associated with TERT upregulation [2]. Hypermethylation of the TERT CpG island has been linked to increased expression levels in other cancers [2, 4, 5]. We, therefore, studied the association between TERT methylation and TERT mRNA levels to investigate the possibility that DNA methylation serves as an alternative mechanism for TERT upregulation in adult gliomas. Eighty-eight adult gliomas samples with known TERT promoter mutation status suitable for mRNA expression analysis, 43 of which had mutations, were examined in this study. TERT mRNA expression of 88 tumors including 48 primary glioblastomas that have previously been investigated was analyzed as described [1]. The methylation status of three regions within the CpG island (Regions 1–3; Fig. 1a), including the region methylated in pediatric tumors (Region 1) and the region that contains the two mutation hotspots (Region 3), was assessed by pyrosequencing of the PCR products amplified from bisulfitemodified genomic DNA. The methylation status was represented either as the mean methylation levels of all CpGs in each region or as a dichotomous variable (hypermethylated or unmethylated) at each region using the cut-off value of 15 % according to Castelo-Branco et al. [2]. More detailed information is available in Supplementary Materials and Methods. There was no significant difference in the mean methylation levels or the frequency of hypermethylated tumors in any of the regions between tumors of the different histological subtypes (astrocytic tumor, oligodendroglial tumor and glioblastoma), or between those with and without Telomere lengthening (TL) is mandatory for infinite proliferation of many cancer cells. This is generally achieved either by telomerase activation or in some cases by telomerase-independent alternative lengthening of telomeres (ALT) [3]. Recently, recurrent mutations at two hotspots termed C228T and C250T in the promoter region of TERT, a catalytic subunit of telomerase, have been reported in various types of cancers [1, 6, 7, 9, 12]. These mutations result in upregulation of TERT expression [1, 7], which is required for telomerase activation [11]. TERT promoter mutations are particularly common in adult gliomas [1, 9]. It is also known that a subset of astrocytomas harbors mutations of ATRX, which could lead to ALT [10]. We have previously shown that glioblastomas with TERT mutation had TERT mRNA upregulation [1]. We have also

IDH1/2 mutation detection in gliomas

Somatic mutations of isocitrate dehydrogenase 1 and 2 (IDH1/2) are strongly associated with pathological subtypes, genetic profiles, and clinical features in gliomas. The IDH1/2 status is currently regarded as one of the most important molecular markers in gliomas and should be assessed accurately and robustly. However, the methods used for IDH1/2 testing are not fully standardized. The purpose of this paper is to review the clinical significance of IDH1/2 mutations and the methods used for IDH1/2 testing. The optimal method for IDH1/2 testing varies depending on a number of factors, including the purpose, sample types, sample number, or laboratory equipment. It is therefore important to acknowledge the advantages and disadvantages of each method.

11C‐methionine uptake and intraoperative 5‐aminolevulinic acid‐induced fluorescence as separate index markers of cell density in glioma

The extent of tumor resection is acknowledged as 1 of the prognostic factors for glioma. 5‐Aminolevulinic acid (5‐ALA)‐induced fluorescence guidance and neuronavigation integrated with 11C‐methionine positron emission tomography (PET) are widely utilized under the expectation of improving the extent of resection. These 2 novel approaches are beneficial for glioma resections, and the combination of these approaches appears rational. However, biological characteristics reflecting 5‐ALA‐induced fluorescence and 11C‐methionine uptake have not been clearly elucidated, and studies about the relationship between 5‐ALA‐induced fluorescence and 11C‐methionine uptake have been limited. The present study aimed to clarify this issue.

A Novel PET Index, 18F-FDG–11C-Methionine Uptake Decoupling Score, Reflects Glioma Cell Infiltration

The linear correlation between 11C-methionine PET and tumor cell density is not well conserved at the tumor border in glioma. A novel imaging analysis method, voxelwise 18F-FDG–11C-methionine PET decoupling analysis (decoupling score), was evaluated to determine whether it could be used to quantitatively assess glioma cell infiltration in MRI-nonenhancing T2 hyperintense lesions. Methods: Data collection was performed in a prospective fashion. Fifty-four MRI-nonenhancing T2 hyperintense specimens were stereotactically obtained from 23 glioma patients by intraoperative navigation guidance. The decoupling score and tumor–to–normal tissue (T/N) ratio of 11C-methionine PET were calculated at each location. Correlations between the tumor cell density at these lesions, decoupling score, and T/N ratio of 11C-methionine PET were then evaluated. Results: Both the decoupling score and the T/N ratio showed a linear correlation with tumor cell density at these specimens (R2 = 0.52 and 0.53, respectively). Use of the decoupling score (cutoff = 3.0) allowed the detection of specimens with a tumor cell density of more than 1,000/mm2, with a sensitivity and specificity of 93.5% and 87.5%, respectively, whereas conventional 11C-methionine PET (cutoff = 1.2 in T/N ratio) was able to detect with a sensitivity and specificity of 87.0% and 87.5%, respectively. Reconstructed images (decoupling map) using the decoupling score enabled the visualization of glioma lesions that were difficult to visualize by 11C-methionine PET alone. Conclusion: The decoupling score showed better performance in detecting glioma cell infiltration than 11C-methionine uptake alone, thus suggesting that 18F-FDG–11C-methionine uptake decoupling analysis is a powerful imaging modality for assessing glioma invasion.

Multinodular and vacuolating neuronal tumor of the cerebrum

Multinodular and vacuolating neuronal tumors of the cerebrum (MVNT) are superficial neuronal tumors in adults that were first documented in 2013. Herein, we report a case of MNVT involving a 37-year-old man who presented with an epileptogenic, superficial solid lesion in the left parietal lobe. Histomorphology of the resected specimen was characterized by nodular lesions with vacuolation. Nodules comprised irregular proliferation of neuronal cells, which ranged from ganglion-like forms to those with indistinct lineage. Immunohistochemical analysis showed that the lesional cells stained positively for HuC/HuD, synaptophysin, and Olig2, and negatively for NeuN, neurofilament, chromogranin A, GFAP, CD34, IDH1R132H, and BRAFV600E. Eighteen months following surgery, the patient is well and without neurological deficits. MVNTs are distinctive tumors that should be differentiated from ganglion cell tumors, dysembryoplastic neuroepithelial tumors, and malformation of cortical development.

Diagnostic and Prognostic Value of 11C-Methionine PET for Nonenhancing Gliomas

BACKGROUND AND PURPOSE: Noninvasive radiologic evaluation of glioma can facilitate correct diagnosis and detection of malignant transformation. Although positron-emission tomography is considered valuable in the care of patients with gliomas, 18F-fluorodeoxyglucose and 11C-methionine have reportedly shown ambiguous results in terms of grading and prognostication. The present study compared the diagnostic and prognostic capabilities of diffusion tensor imaging, FDG, and 11C-methionine PET in nonenhancing gliomas. MATERIALS AND METHODS: Thirty-five consecutive newly diagnosed, histologically confirmed nonenhancing gliomas that underwent both FDG and 11C-methionine PET were retrospectively investigated (23 grade II and 12 grade III gliomas). Apparent diffusion coefficient, fractional anisotropy, and tumor-to-normal tissue ratios of both FDG and 11C-methionine PET were compared between grade II and III gliomas. Prognostic values of these parameters were also tested by using progression-free survival. RESULTS: Grade III gliomas showed significantly higher average tumor-to-normal tissue and maximum tumor2-to-normal tissue than grade II gliomas in 11C-methionine (P = .013, P = .0017, respectively), but not in FDG-PET imaging. There was no significant difference in average ADC, minimum ADC, average fractional anisotropy, and maximum fractional anisotropy. 11C-methionine PET maximum tumor-to-normal tissue ratio of 2.0 was most suitable for detecting grade III gliomas among nonenhancing gliomas (sensitivity, 83.3%; specificity, 73.9%). Among patients not receiving any adjuvant therapy, median progression-free survival was 64.2 ± 7.2 months in patients with maximum tumor-to-normal tissue ratio of <2.0 for 11C-methionine PET and 18.6 ± 6.9 months in patients with maximum tumor-to-normal tissue ratio of >2.0 (P = .0044). CONCLUSIONS: 11C-methionine PET holds promise for World Health Organization grading and could offer a prognostic imaging biomarker for nonenhancing gliomas.

Introduction of High Throughput Magnetic Resonance T2-Weighted Image Texture Analysis for WHO Grade 2 and 3 Gliomas.

Reports have suggested that tumor textures presented on T2-weighted images correlate with the genetic status of glioma. Therefore, development of an image analyzing framework that is capable of objective and high throughput image texture analysis for large scale image data collection is needed. The current study aimed to address the development of such a framework by introducing two novel parameters for image textures on T2-weighted images, i.e., Shannon entropy and Prewitt filtering. Twenty-two WHO grade 2 and 28 grade 3 glioma patients were collected whose pre-surgical MRI and IDH1 mutation status were available. Heterogeneous lesions showed statistically higher Shannon entropy than homogenous lesions (p = 0.006) and ROC curve analysis proved that Shannon entropy on T2WI was a reliable indicator for discrimination of homogenous and heterogeneous lesions (p = 0.015, AUC = 0.73). Lesions with well-defined borders exhibited statistically higher Edge mean and Edge median values using Prewitt filtering than those with vague lesion borders (p = 0.0003 and p = 0.0005 respectively). ROC curve analysis also proved that both Edge mean and median values were promising indicators for discrimination of lesions with vague and well defined borders and both Edge mean and median values performed in a comparable manner (p = 0.0002, AUC = 0.81 and p < 0.0001, AUC = 0.83, respectively). Finally, IDH1 wild type gliomas showed statistically lower Shannon entropy on T2WI than IDH1 mutated gliomas (p = 0.007) but no difference was observed between IDH1 wild type and mutated gliomas in Edge median values using Prewitt filtering. The current study introduced two image metrics that reflect lesion texture described on T2WI. These two metrics were validated by readings of a neuro-radiologist who was blinded to the results. This observation will facilitate further use of this technique in future large scale image analysis of glioma.