IDH-wildtype Gliomas Research Articles

Multi-pool chemical exchange saturation transfer MRI in glioma grading, molecular subtyping and evaluating tumor proliferation.

To evaluate the performance of multi-pool Chemical exchange saturation transfer (CEST) MRI in prediction of glioma grade, isocitrate dehydrogenase (IDH) mutation, alpha-thalassemia/mental retardation syndrome X-linked (ATRX) loss and Ki-67 labeling index (LI), based on the fifth edition of the World Health Organization classification of central nervous system tumors (WHO CNS5). 95 patients with adult-type diffuse gliomas were analyzed. The amide, direct water saturation (DS), nuclear Overhauser enhancement (NOE), semi-solid magnetization transfer (MT) and amine signals were derived using Lorentzian fitting, and asymmetry-based amide proton transfer-weighted (APTwasym) signal was calculated. The mean value of tumor region was measured and intergroup differences were estimated using student-t test. The receiver operating curve (ROC) and area under the curve (AUC) analysis were used to evaluate the diagnostic performance of signals and their combinations. Spearman correlation analysis was performed to evaluate tumor proliferation. The amide and DS signals were significantly higher in high-grade gliomas compared to low-grade gliomas, as well as in IDH-wildtype gliomas compared to IDH-mutant gliomas (all p < 0.001). The DS, MT and amine signals showed significantly differences between ATRX loss and retention in grade 2/3 IDH-mutant gliomas (all p < 0.05). The combination of signals showed the highest AUC in prediction of grade (0.857), IDH mutation (0.814) and ATRX loss (0.769). Additionally, the amide and DS signals were positively correlated with Ki-67 LI (both p < 0.001). Multi-pool CEST MRI demonstrated good potential to predict glioma grade, IDH mutation, ATRX loss and Ki-67 LI.

When do I ask for a DNA methylation array for primary brain tumor diagnosis?

Despite remarkable advances in molecular characterization, the diagnosis of brain tumors remains challenging, particularly in cases with ambiguous histology or contradictory molecular features. In this context, DNA methylation profiling plays an important role in improving diagnostic and prognostic accuracy. This review aims to provide diagnostic guidance regarding when DNA methylation arrays represent a useful tool for the diagnosis of primary brain tumors. Large-scale profiling has revealed that DNA methylation profiles of brain tumors are highly reproducible and stable. Therefore, DNA methylation profiling has been successfully used to classify brain tumors and identify new entities. This approach seems to be particularly promising for heterogeneous groups of tumors, such as IDH-wildtype gliomas, and glioneuronal and embryonal tumors, which include a variety of entities that are still under characterization. As underlined in the fifth edition of the WHO classification of central nervous system tumors, the diagnosis of brain tumors requires the integration of histological, molecular, clinical, and radiological features. Although advanced imaging and histological examination remain the standard diagnostic tools, DNA methylation analysis can significantly improve diagnostic accuracy, with a substantial impact on patient management.

Assessment the Impact of IDH Mutation Status on MRI Assessments of White Matter Integrity in Glioma Patients: Insights From Peak Width of Skeletonized Mean Diffusivity and Free Water Metrics.

Gliomas are highly invasive brain tumors that evade accurate geographic assessment by conventional MRI due to microscopic invasion along white matter (WM) tracts. Advanced diffusion MRI techniques are needed to assess occult WM involvement. To evaluate peak width of skeletonized mean diffusivity (PSMD) and peak width of skeletonized free water (PSFW), and axonal water fraction (AWF) for assessing glioma-induced alterations in normal-appearing WM and their relationship with isocitrate dehydrogenase 1 (IDH1) mutation. Retrospective. One hundred five glioma patients (46 ± 13 years), 53 healthy controls (HCs) (46 ± 9 years). 3.0 T, T1WI, T1-CE, T2WI, T2FLAIR, and DKI. PSMD and PSFW were compared between lesion and contralateral sides in glioma patients and between patients and HCs. The associations between these metrics and clinical variables, including IDH1 mutation, was assessed. Corpus callosum (CC) injury, quantified by the AWF, was evaluated for its mediated effect of IDH1 mutation on contralesional PSMD and PSFW. Paired-t tests, ANCOVA, univariate and multivariate linear regression, and mediation analysis with significance set at P < 0.05. Contralateral PSMD and PSFW were significantly higher in left-sided gliomas (PSMD: 0.206 ± 0.027 vs. 0.193 ± 0.023; PSFW: 0.119 ± 0.019 vs. 0.106 ± 0.020) than in HCs, with similar increases in right-sided gliomas (PSMD: 0.219 ± 0.036 vs. 0.195 ± 0.023; PSFW: 0.129 ± 0.031 vs. 0.109 ± 0.020). IDH1 wild-type gliomas were associated with higher contralateral PSMD and PSFW (β = -0.302 and -0.412). AWF of CC mediated the impact of IDH1 mutations on contralesional PSMD and PSFW (mediated proportion: 42.7% and 53.7%). PSMD and PSFW are effective biomarkers for assessing WM integrity in gliomas, significantly associated with IDH1 mutation status. AWF of CC mediates the relationship between IDH1 mutation and contralesional PSMD and PSFW. 4 TECHNICAL EFFICACY: Stage 2.

Clinical utility of a blood based assay for the detection of IDH1.R132H-mutant gliomas

Glioma represents the most common central nervous system neoplasm in adults. Current classification scheme utilizes molecular alterations, particularly IDH1.R132H, to stratify lesions into distinct prognostic groups. Identification of the single nucleotide variant through traditional tissue biopsy assessment poses procedural risks and does not fully reflect the heterogeneous and evolving tumor landscape. Here, we introduce a liquid biopsy assay, mt-IDH1dx. The blood-based test allows minimally invasive detection of tumor-derived extracellular vesicle RNA using only 2 ml plasma volume. We perform rigorous, blinded validation testing across the study population (n = 133), comprising of IDH1.R132H patients (n = 80), IDH1 wild-type gliomas (n = 44), and age matched healthy controls (n = 9). Results from our plasma testing demonstrate an overall sensitivity of 75.0% (95% CI: 64.1%–84.0%), specificity 88.7% (95% CI: 77.0%–95.7%), positive predictive value 90.9%, and negative predictive value 70.1% compared to the tissue gold standard. In addition to fundamental diagnostic applications, the study also highlights the utility of mt-IDH1dx platform for blood-based monitoring and surveillance, offering valuable prognostic information. Finally, the optimized workflow enables rapid and efficient completion of both tumor tissue and plasma testing in under 4 hours from the time of sampling.

Unveiling hierarchy and spatial distribution of O6-methylguanine-DNA methyltransferase promoter methylation in World Health Organization grade 2-3 gliomas.

This study investigated the role of O6-methylguanine-DNA methyltransferase promoter (MGMTp) methylation hierarchy and heterogeneity in grade 2-3 gliomas, focusing on variations in chemotherapy benefits and resection dependency. A cohort of 668 newly diagnosed grade 2-3 gliomas, with comprehensive clinical, radiological, and molecular data, formed the basis of this analysis. The extent of resection was categorized into gross total resection (GTR ≥100%), subtotal resection (STR >90%), and partial resection (PR ≤90%). MGMTp methylation levels were examined using quantitative pyrosequencing. Our findings highlighted the critical role of GTR in improving the prognosis for astrocytomas (IDH1/2-mutant and 1p/19q non-codeleted), contrasting with its lesser significance for oligodendrogliomas (IDH1/2 mutation and 1p/19q codeletion). Oligodendrogliomas demonstrated the highest average MGMTp methylation levels (median: 28%), with a predominant percentage of methylated cases (average methylation levels >20%). Astrocytomas were more common in the low-methylated group (10%-20%), while IDH wild-type gliomas were mostly unmethylated (<10%). Spatial distribution analysis revealed a decrement in frontal lobe involvement from methylated, low-methylated to unmethylated cases (72.8%, 59.3%, and 47.8%, respectively). In contrast, low-methylated and unmethylated cases were more likely to invade the temporal-insular region (19.7%, 34.3%, and 40.4%, respectively). Astrocytomas with intermediate MGMTp methylation were notably associated with temporal-insular involvement, potentially indicating a moderate response to temozolomide and underscoring the importance of aggressive resection strategies. In conclusion, our study elucidates the complex interplay of MGMTp methylation hierarchy and heterogeneity among grade 2-3 gliomas, providing insights into why astrocytomas and IDH wild-type lower-grade glioma might derive less benefit from chemotherapy.

Histopathological Spectrum of Gliomas and Its Immunohistochemical Correlation in a Tertiary Care Setup.

Introduction Central nervous system (CNS) tumors pose significant diagnostic challenges due to their varied morphological and differentiating characteristics. Modern advancements in immunohistochemistry (IHC) and molecular pathology have greatly enhanced prognostication, screening, and therapeutic management. Gliomas, a type of tumor originating from glial cells in the CNS, can develop from astrocytes, oligodendrocytes, or ependymal cells. According to the 2021 update, the classification of diffuse gliomas is primarily based on the presence or absence of isocitrate dehydrogenase (IDH1/2) mutations. IDH-wildtype gliomas (glioblastomas) have a significantly poorer prognosis compared to IDH-mutant gliomas (astrocytomas and oligodendrogliomas). Gliomas are highly infiltrative and resistant to treatment, making them largely incurable regardless of their grade and prognosis. Objective This study aimed to determine the histopathological diversity of gliomas and its correlation with protein expressions of IDH, ATRX gene (α-thalassemia/mental retardation syndrome X-linked), Ki-67, and p53 mutations (tumor suppressor gene-53), according to the 2021 World Health Organization (WHO) Classification of CNS Tumors, Fifth Edition. Methods This descriptive cross-sectional study was carried out in the Department of Pathology at a tertiary care center, focusing on various types of gliomas received over a two-year period. A total of 54 specimens of gliomas received from the Department of Neurosurgery were subjected to histopathological examination. Sections were stained using hematoxylin and eosin (H&E), and IHC was performed using four markers (IDH, ATRX, p53, Ki-67) in each case. Results were analyzed according to the 2021 WHO Classification of CNS Tumors, Fifth Edition. Results The majority of individuals were between the age group of 40 and 60 years, showing a male predominance (65%). The most common site was the frontal lobe. Glioblastoma constituted the largest proportion (46.2%) of the total cases, followed by astrocytoma (20.3%), oligodendroglioma (18.5%), pilocytic astrocytoma (7.4%), and ependymoma (7.4%). All 11 cases of astrocytoma exhibited IDH mutation and ATRX loss, with p53 positive in the majority of cases. Strong nuclear p53 immunohistochemical positivity in >10% of tumor nuclei correlates with TP53 mutations. Among 25 cases of glioblastoma, IDH was negative, ATRX was retained in all cases, and 11 cases were positive for p53 mutation. For oligodendroglioma, out of 10 cases, IDH mutation was positive, and ATRX was retained in all cases. p53 mutation was not seen in any case. All cases of pilocytic astrocytoma were negative for IDH and p53 mutations, with ATRX retained in all cases. In all cases of ependymoma, IDH and p53 mutations were negative, and ATRX was retained in all cases. Glioblastomas exhibited the highest Ki-67 expression. Conclusion The 2021 WHO Classification of CNS Tumors, Fifth Edition, was updated, building on previously established concepts and continuing to evolve. The final diagnosis of gliomas relies on a comprehensive combination of clinical evaluation, neuroimaging, pathological examination, and molecular analysis. Nonetheless, histopathological examination, along with IHC, remains the cornerstone of diagnosis.

Combination of MRI-based prediction and CRISPR/Cas12a-based detection for IDH genotyping in glioma

Early identification of IDH mutation status is of great significance in clinical therapeutic decision-making in the treatment of glioma. We demonstrate a technological solution to improve the accuracy and reliability of IDH mutation detection by combining MRI-based prediction and a CRISPR-based automatic integrated gene detection system (AIGS). A model was constructed to predict the IDH mutation status using whole slices in MRI scans with a Transformer neural network, and the predictive model achieved accuracies of 0.93, 0.87, and 0.84 using the internal and two external test sets, respectively. Additionally, CRISPR/Cas12a-based AIGS was constructed, and AIGS achieved 100% diagnostic accuracy in terms of IDH detection using both frozen tissue and FFPE samples in one hour. Moreover, the feature attribution of our predictive model was assessed using GradCAM, and the highest correlations with tumor cell percentages in enhancing and IDH-wildtype gliomas were found to have GradCAM importance (0.65 and 0.5, respectively). This MRI-based predictive model could, therefore, guide biopsy for tumor-enriched, which would ensure the veracity and stability of the rapid detection results. The combination of our predictive model and AIGS improved the early determination of IDH mutation status in glioma patients. This combined system of MRI-based prediction and CRISPR/Cas12a-based detection can be used to guide biopsy, resection, and radiation for glioma patients to improve patient outcomes.

Evaluation of frailty, cognitive function, and age as prognostic factors for survival in patients with IDH1wild-type high-grade glioma

Abstract INTRODUCTION: High-grade gliomas without isocitrate dehydrogenase (IDH) mutations are associated with poor survival and have been poorly studied. Our aim was to investigate the prognostic factors for survival in this group, focusing on frailty, age, and cognition. METHODS: This study included Slovenian patients with high-grade IDH1 wild-type gliomas. Frailty and cognitive functioning were measured postoperatively using the Clinical Frailty Scale and neuropsychological test battery. Descriptive statistics were used to analyze the demographic and clinical data. Univariate and multivariate Cox proportional hazard regression models were used to examine the clinical predictors and prognostic value of the cognitive test scores. Kaplan-Meier curves were generated, and the log-rank test was used. RESULTS: Data from 75 patients were analyzed. The median time to progression was 11.0 months, and the median survival was 12.8 months. Multivariate analysis revealed that frailty, sex, O6-methylguanine-DNA methyltransferase methylation, and verbal fluency, but not the global cognitive functioning, were significant prognostic factors for survival. Age was a statistically significant prognostic factor in the univariate regression model; when other factors were controlled for in the multivariate model, age lost its prognostic value. CONCLUSION: Frailty is an important prognostic factor for survival of patients with high-grade IDH1 wild-type gliomas. Cognitive functioning in the domain of verbal fluency remained an independent prognostic factor for survival after controlling for other factors.

HGG-04. MALIGNANT GLIOMA IN L-2-HYDROXY GLUTARIC ACIDURIA; THOROUGH MOLECULAR CHARACTERIZATION OF A CASE AND LITERATURE REVIEW

Abstract L-2-hydroxyglutaric aciduria (L-2-HGA) is a rare neurometabolic disorder characterized by accumulation of L2-hydroxyglutarate (L-2-HG) due to mutations in the L2HGDH gene. L-2-HGA patients have a significantly increased lifetime risk of central nervous system (CNS) tumors. Here, we present a 16-year-old girl with L-2-HGA who developed a tumor in the right cerebral hemisphere, which was discovered after left-sided neurological deficits of the patient. Histologically, the tumor had a high-grade diffuse glioma phenotype. DNA sequencing revealed the germline L2HGDH mutation as well as inactivating mutations in TP53, BCOR and NF1. Genome-wide DNA-methylation analysis was unable to classify the tumor with high confidence. More detailed analysis revealed that this tumor clustered amongst IDH-wildtype gliomas by methylation profiling and did not show the glioma CpG island methylator phenotype (G-CIMP) (in contrast to IDH-mutant diffuse gliomas with accumulated levels of D-2-HG). These findings were against all our expectations given the inhibitory potential of 2-HG on DNA-demethylation enzymes. Our final integrated histomolecular diagnosis was diffuse pediatric-type high-grade glioma, H3-wildtype and IDH-wildtype. Due to rapid tumor progression the patient died nine months after initial diagnosis. In this manuscript we provide extensive molecular characterization of the tumor as well as a literature review focusing on oncogenetic considerations of L-2-HGA-associated CNS tumors.

LGG-08. DIFFUSE ASTROCYTOMA IN A PATIENT WITH POSSIBLE MBD4-ASSOCIATED NEOPLASIA SYNDROME (MANS)- EXPANDING THE SPECTRUM OF MANS-ASSOCIATED NEOPLASM

Abstract BACKGROUND MBD4-associated neoplasia syndrome (MANS) is a recently identified genetic syndrome characterized by the development of colorectal polyps, acute myeloid leukemia, and uveal melanoma, with an elevated mutation burden. MANS is attributed to bi-allelic germline variations in the MBD4 gene. METHOD We present a case of a pediatric patient with diffuse astrocytoma WHO-grade II and bi-allelic germline variations in the MBD4 gene. CASE REPORT A previously healthy 10-year-old female with a significant family history of high-grade IDH wild type-glioma in the deceased older brother presented with vague symptoms and was found to have abnormal brain MRI with multiple foci of subcortical FLAIR/T2 hyperintensity involving the right frontotemporal lobe, left frontal lobe, and left thalamus. She had intact neurologic exam findings and was followed with serial brain MRIs. Over the next 2 years, she continued to be asymptomatic, but her MRI showed an increase in the size of her brain lesions. Following a stereotactic biopsy of the right temporal lesion, a diagnosis of diffuse astrocytoma (WHO-grade II) was confirmed. Molecular analysis showed point mutations in IDH1, TP53, and PTEN genes, along with LOH at 17p (including TP53 gene), and outline gene expressions for NTRK2, OLIG2, GRM3, FGF1, SOX8, MBP, MGMT genes. Given the low grade of the tumor and the absence of tumor-related symptoms, a decision was made to continue monitoring with serial MRIs. Whole exome sequencing identified germline bi-allelic missense variations in the MBD4 gene, specifically C.1405A&amp;gt;G and C.1573A&amp;gt;C. Both parents were found to be heterozygous for one of these mutations. CONCLUSION The significance of MBD4 mutation remains unknown in our patient, but bi-allelic variations coupled with the presence of a brain tumor and positive family history raise concerns about MANS in our patient. Additional studies are needed to elucidate the potential association between brain tumors and MANS.

Clinical outcome, radiological findings, and genetic features of IDH-mutant brainstem glioma in adults.

With the recent advent of genetic testing, IDH-mutant glioma has been found among adult brainstem gliomas. However, the clinical outcome and prognosis of IDH-mutant brainstem gliomas in adults have not been elucidated. This study aimed to investigate the clinical outcome, radiological findings, and genetic features of adult patients with IDH-mutant diffuse brainstem gliomas. Data from adult patients with brainstem glioma at Hokkaido University Hospital between 2006 and 2022 were retrospectively analyzed. Patient characteristics, treatment methods, genetic features, and prognosis were evaluated. Of 12 patients with brainstem glioma with proven histopathology, 4 were identified with IDH mutation. All patients underwent local radiotherapy with 54 Gray in 27 fractions combined with chemotherapy with temozolomide. Three patients had IDH1 R132H mutation and one had IDH2 R172G mutation. The median progression-free survival and overall survival were 68.4months and 85.2months, respectively, longer than that for IDH-wildtype gliomas (5.6months and 12.0months, respectively). At the time of initial onset, contrast-enhanced lesions were observed in two of the four cases in magnetic resonance imaging. As some adult brainstem gliomas have IDH mutations, and a clearly different prognosis from those with IDH-wildtype, biopsies are proactively considered to confirm the genotype.

Survival implications and radiographic predictors of prognosis in patients with IDH-mutant astrocytoma with CDKN2A/b homozygous deletion: An international, multi-centered study.

e14035 Background: Isocitrate Dehydrogenase (IDH) 1 or 2 mutations are associated with improved prognosis in glioma patients. Despite their less aggressive clinical course when compared to IDH-wild type gliomas, molecularly-defined IDH-mutant glioma subtypes with poor prognosis have been identified. Among these, CDKN2A/B homozygous deletion represents the strongest negative genetic predictor of prognosis yet identified in IDH-mutant astrocytoma. With the WHO 2021 classification recognizing CDKN2A/B homozygous deletion as sufficient for the designation of astrocytoma, IDH-mutant, WHO Grade 4, the translational implications and potential for therapies targeting CDKN2A/B homozygous deletion are an area of active investigation. We sought to further characterize overall (OS) and progression-free survival (PFS) of CDKN2A/B deleted patients within a large, multi-centered, international cohort and identify clinical characteristics that predict survival for patients with CDKN2A/B deletion. Methods: Patients with IDH-mutant glioma with CDKN2A/B homozygous deletion were retrospectively identified across four institutions (Massachusetts General Hospital, USA; University Hospital Heidelberg, Germany; University Hospital Dresden, Germany, and Foudan-Shanghai, China). IDH-mutation status was determined by immunohistochemistry or next-generation sequencing. CDKN2A/B status was determined by hybridized DNA capture or FISH. Results: We identified 75 patients with IDH-mutant astrocytoma with CDKN2A/B homozygous deletion. The cohort had a median follow-up time of 5.0 years, was 56% male, and had an average age of 38.8 years. Patients were treated with chemotherapy and radiation following initial surgery in 77% of cases. Preoperative contrast enhancement and T2 FLAIR mismatch were identified in 56 and 44% of cases, respectively. Compared to a cohort of 51 patients with CDKN2A/B intact, grade 4, IDH-mutant astrocytoma, those with CDKN2A/B-deleted tumors had significantly shorter median OS and PFS (OS: 4 vs 13.5 years, HR = 6.8, HR 95% CI = 3.1, 14.6, p &lt; 0.0001; PFS: 2.8 vs 5.9 years, HR = 3.0, HR 95% CI = 1.7, 5.2, p = 0.0001). Within the CDKN2A/B deleted cohort, preoperative contrast enhancement predicted worse OS, but not PFS (OS: HR = 2.7, 95% CI = 1.1, 7.4, p = 0.04; PFS: HR = 1.17, 95% CI = 0.7, 3.7, p = 0.24). Conclusions: These data reinforce the strong negative prognostic impact of CDKN2A/B homozygous deletion on OS and PFS and identify a novel association between preoperative contrast enhancement and shorter OS in patients with CDKN2A/Bdeleted, IDH-mutant astrocytoma.

Comprehensive analysis of the REST transcription factor regulatory networks in IDH mutant and IDH wild-type glioma cell lines and tumors

The RE1-silencing transcription factor (REST) acts either as a repressor or activator of transcription depending on the genomic and cellular context. REST is a key player in brain cell differentiation by inducing chromatin modifications, including DNA methylation, in a proximity of its binding sites. Its dysfunction may contribute to oncogenesis. Mutations in IDH1/2 significantly change the epigenome contributing to blockade of cell differentiation and glioma development. We aimed at defining how REST modulates gene activation and repression in the context of the IDH mutation-related phenotype in gliomas. We studied the effects of REST knockdown, genome wide occurrence of REST binding sites, and DNA methylation of REST motifs in IDH wild type and IDH mutant gliomas. We found that REST target genes, REST binding patterns, and TF motif occurrence proximal to REST binding sites differed in IDH wild-type and mutant gliomas. Among differentially expressed REST targets were genes involved in glial cell differentiation and extracellular matrix organization, some of which were differentially methylated at promoters or gene bodies. REST knockdown differently impacted invasion of the parental or IDH1 mutant glioma cells. The canonical REST-repressed gene targets showed significant correlation with the GBM NPC-like cellular state. Interestingly, results of REST or KAISO silencing suggested the interplay between these TFs in regulation of REST-activated and repressed targets. The identified gene regulatory networks and putative REST cooperativity with other TFs, such as KAISO, show distinct REST target regulatory networks in IDH-WT and IDH-MUT gliomas, without concomitant DNA methylation changes. We conclude that REST could be an important therapeutic target in gliomas.

Clinical and imaging characteristics of supratentorial glioma with IDH2 mutation.

The rarity of IDH2 mutations in supratentorial gliomas has led to gaps in understanding their radiological characteristics, potentially resulting in misdiagnosis based solely on negative IDH1 immunohistochemical staining. We aimed to investigate the clinical and imaging characteristics of IDH2-mutant gliomas. We analyzed imaging data from adult patients with pathologically confirmed diffuse lower-grade gliomas and known IDH1/2 alteration and 1p/19q codeletion statuses obtained from the records of our institute (January 2011 to August 2022, Cohort 1) and The Cancer Imaging Archive (TCIA, Cohort 2). Two radiologists evaluated clinical information and radiological findings using standardized methods. Furthermore, we compared the data for IDH2-mutant and IDH-wildtype gliomas. Multivariate logistic regression was used to identify the predictors of IDH2 mutation status, and receiver operating characteristic curve analysis was employed to assess the predictive performance of the model. Of the 20 IDH2-mutant supratentorial gliomas, 95% were in the frontal lobes, with 75% classified as oligodendrogliomas. Age and the T2-FLAIR discordance were independent predictors of IDH2 mutations. Receiver operating characteristic curve analysis for the model using age and T2-FLAIR discordance demonstrated a strong potential for discriminating between IDH2-mutant and IDH-wildtype gliomas, with an area under the curve of 0.96 (95% CI, 0.91-0.98, P = .02). A high frequency of oligodendrogliomas with 1p/19q codeletion was observed in IDH2-mutated gliomas. Younger age and the presence of the T2-FLAIR discordance were associated with IDH2 mutations and these findings may help with precise diagnoses and treatment decisions in clinical practice.

Latest Developments in Magnetic Resonance Imaging for Evaluating the Molecular Microenvironment of Gliomas.

The 2021 World Health Organization (WHO) Classification of Tumors of the Central Nervous System has brought a transformative shift in the categorization of adult gliomas. Departing from traditional histological subtypes, the new classification system is guided by molecular genotypes, particularly the Isocitrate Dehydrogenase (IDH) mutation. This alteration reflects a pivotal change in understanding tumor behavior, emphasizing the importance of molecular profiles over morphological characteristics. Gliomas are now categorized into IDH-mutant and IDH wildtype, with significant prognostic implications. For IDH-mutant gliomas, the concurrent presence of Alpha-Thalassemia/mental retardation syndrome X-linked (ATRX) gene expression and co-deletion of 1p19q genes further refine classification. In the absence of 1p19q co-deletion, further categorization depends on the phenotypic expression of CDKN2A/B. Notably, IDH wildtype gliomas exhibit a poorer prognosis, particularly when associated with TERT promoter mutations, EGFR amplification, and +7/-10 co-deletion. Although not part of the new guidelines, the methylation status of the MGMT gene is crucial for guiding alkylating agent treatment. The integration of structural and functional Magnetic Resonance Imaging (MRI) techniques may play a vital role in evaluating these genetic phenotypes, offering insights into tumor microenvironment changes. This multimodal approach may enhance diagnostic precision, aid in treatment planning, and facilitate effective prognosis evaluation of glioma patients.

384 BOLD Asynchrony Reveals Tumor Burden in IDH-Wildtype Gliomas

INTRODUCTION: IDH-wildtype gliomas are aggressive, highly invasive, and invariably fatal. Maximal safe resection of tumors is the primary goal in glioma surgery, as it has been associated with improved survival and better outcomes. However, there is no clinically accepted method for identifying the extent of tumor burden in these neoplasms. This uncertainty poses a challenge for clinicians who must balance tumor removal with the sparing of healthy brain. METHODS: Forty stereotactically-localized biopsies were obtained during open surgical resection from twenty treatment-naÏve patients with IDH-wildtype gliomas who received standard-of-care preoperative imaging as well as echo-planar resting-state BOLD fMRI. Signal intensity for BOLD asynchrony and standard-of-care imaging was compared to cell counts of total cellularity (H&amp;E), tumor density (Sox2), cellular proliferation (Ki67), and neuronal density (NeuN), for each corresponding sample. RESULTS: BOLD asynchrony was directly related to tumor density as well as cellular proliferation and inversely related to neuronal density. Peritumoral regions that appeared normal on standard-of-care imaging but with elevated BOLD asynchrony showed elevated tumor burden on histology. CONCLUSIONS: BOLD asynchrony is a novel imaging technique that can elucidate tumor burden that is not observable on standard-of-care imaging. Including BOLD asynchrony in preoperative planning can provide more accurate margins for tumor resection, which may improve patient outcomes and overall survival.

Hypoxia drives shared and distinct transcriptomic changes in two invasive glioma stem cell lines

Glioblastoma (GBM) is the most common primary malignant cancer of the central nervous system. Insufficient oxygenation (hypoxia) has been linked to GBM invasion and aggression, leading to poor patient outcomes. Hypoxia induces gene expression for cellular adaptations. However, GBM is characterized by high intertumoral (molecular subtypes) and intratumoral heterogeneity (cell states), and it is not well understood to what extent hypoxia triggers patient-specific gene responses and cellular diversity in GBM. Here, we surveyed eight patient-derived GBM stem cell lines for invasion phenotypes in 3D culture, which identified two GBM lines showing increased invasiveness in response to hypoxia. RNA-seq analysis of the two patient GBM lines revealed a set of shared hypoxia response genes concerning glucose metabolism, angiogenesis, and autophagy, but also a large set of patient-specific hypoxia-induced genes featuring cell migration and anti-inflammation, highlighting intertumoral diversity of hypoxia responses in GBM. We further applied the Shared GBM Hypoxia gene signature to single cell RNA-seq datasets of glioma patients, which showed that hypoxic cells displayed a shift towards mesenchymal-like (MES) and astrocyte-like (AC) states. Interestingly, in response to hypoxia, tumor cells in IDH-mutant gliomas displayed a strong shift to the AC state, whereas tumor cells in IDH-wildtype gliomas mainly shifted to the MES state. This distinct hypoxia response of IDH-mutant gliomas may contribute to its more favorable prognosis. Our transcriptomic studies provide a basis for future approaches to better understand the diversity of hypoxic niches in gliomas.

Ultra-high b-value DWI accurately identifies isocitrate dehydrogenase genotypes and tumor subtypes of adult-type diffuse gliomas.

To distinguish isocitrate dehydrogenase (IDH) genotypes and tumor subtypes of adult-type diffuse gliomas based on the fifth edition of the World Health Organization classification of central nervous system tumors (WHO CNS5) in 2021 using standard, high, and ultra-high b-value diffusion-weighted imaging (DWI). This prospective study enrolled 70 patients with adult-type diffuse gliomas who underwent multiple b-value DWI. Apparent diffusion coefficient (ADC) values including ADCb500/b1000, ADCb500/b2000, ADCb500/b3000, ADCb500/b4000, ADCb500/b6000, ADCb500/b8000, and ADCb500/b10000 in tumor parenchyma (TP) and contralateral normal-appearing white matter (NAWM) were calculated. The ADC ratios of TP/NAWM were assessed for correlations with IDH genotypes, tumor subtypes, and Ki-67 status; diagnostic performances were compared. All ADCs were significantly higher in IDHmutant gliomas than in IDH wild-type gliomas (p < 0.01 for all); ADCb500/b8000 had the highest area under the curve (AUC) of 0.866. All ADCs were significantly lower in glioblastoma than in astrocytoma (p < 0.01 for all). ADCs other than ADCb500/b1000 were significantly lower in glioblastoma than in oligodendroglioma (p < 0.05 for all). ADCb500/b8000 and ADCb500/b10000 were significantly higher in oligodendroglioma than in astrocytoma (p = 0.034 and 0.023). The highest AUCs were 0.818 for ADCb500/b6000 when distinguishing glioblastoma from astrocytoma, 0.979 for ADCb500/b8000 and ADCb500/b10000 when distinguishing glioblastoma from oligodendroglioma, and 0.773 for ADCb500/b10000 when distinguishing astrocytoma from oligodendroglioma. Additionally, all ADCs were negatively correlated with Ki-67 status (p < 0.05 for all). Ultra-high b-value DWI can reliably separate IDH genotypes and tumor subtypes of adult-type diffuse gliomas using WHO CNS5 criteria. Ultra-high b-value diffusion-weighted imaging can accurately distinguish isocitrate dehydrogenase genotypes and tumor subtypes of adult-type diffuse gliomas, which may facilitate personalized treatment and prognostic assessment for patients with glioma. • Ultra-high b-value diffusion-weighted imaging can accurately distinguish subtle differences in water diffusion among biological tissues. • Ultra-high b-value diffusion-weighted imaging can reliably separate isocitrate dehydrogenase genotypes and tumor subtypes of adult-type diffuse gliomas. • Compared with standard b-value diffusion-weighted imaging, high and ultra-high b-value diffusion-weighted imaging demonstrate better diagnostic performances.

Abstract 6304: Seizure self-report and monitoring: Agreement between patient and clinician report and implications for care in patients with IDH-mutant and IDH-wild type gliomas

Abstract Primary brain tumor (PBT) patients commonly experience seizures, which can be measured and monitored by a variety of tools. Here, we explore the concordance between 2 tools and their use in reporting seizures over time among PBT patients enrolled in a natural history study (NCT02851706, PI: T. Armstrong). Patients complete the M.D. Anderson Symptom Inventory - Brain Tumor (MDASI-BT), which measures symptom severity (including seizure) within the last 24 hours from 0-10; and, as part of the same visit, pairs of clinicians and patients complete the Seizure Control Composite Index (RANO-SCCI), which includes the questions ‘Have you ever had a seizure’ (RANO-SCCIQ1) and ‘Have you had a seizure since your last clinic visit’ (RANO-SCCIQ2). Responses to each measure are reported in aggregate and by IDH status. Participants included 89 patients with gliomas who were primarily white (84%) males (62%) with a median age of 48 years (range: 27-78) and KPS ≥ 90 (85%). Based on patient reports, 65% endorsed ever having a seizure (RANO-SCCIQ1), 17% had a recent seizure (RANO-SCCIQ2), and 12% had a seizure within the last 24 hours (MDASI-BT). For the RANO-SCCIQ1 data, patients and clinicians generally agreed except for 6 pairs (7%) where clinicians indicated a seizure but patients did not. Of the 59 who reported recent seizures (RANO-SCCIQ2), two pairs (3%) disagreed, with patients indicating a recent seizure but clinicians not endorsing a seizure had occurred. Good overall agreement (86%) was observed between the RANO-SCCIQ2 and MDASI-BT for both clinician and patient responses, with 3 and 2 paired disagreements respectively, in which seizures were indicated in the last 24 hours but not recorded as a recent seizure on the (RANO-SCCIQ2). Comparing clinician report of seizures in those with IDH-mutated (n=39) to IDH-wildtype (n=15) tumors, 85% (33/39) versus 47% (7/15) reported ever having a seizure and 7 of 33 (21%) with IDH-mutant and 1 of 7 (14%) with IDH-wild type (IDH-WT) tumors respectively reported a seizure since the last visit. Disparities in recognition of seizures between patient and clinician highlights a need for patient education to increase awareness of events and recognition of ongoing risk. Although those with IDH-mutated tumors are at higher risk of having seizures, nearly half of those with IDH-WT reported ever having seizures, underscoring the need for all patients to be educated on recognizing and assessing seizure symptoms. Citation Format: Hope Miller, Ewa Grajkowska, Alvina Acquaye-Mallory, Anna Choi, Jennifer Reyes, Mark R. Gilbert, Edward K. Avila, Terri S. Armstrong, Elizabeth Vera. Seizure self-report and monitoring: Agreement between patient and clinician report and implications for care in patients with IDH-mutant and IDH-wild type gliomas [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 6304.

The diagnostic efficiency of integration of 2HG MRS and IVIM versus individual parameters for predicting IDH mutation status in gliomas in clinical scenarios: A retrospective study.

Currently, there remains a scarcity of established preoperative tests to accurately predict the isocitrate dehydrogenase (IDH) mutation status in clinical scenarios, with limited research has explored the potential synergistic diagnostic performance among metabolite, perfusion, and diffusion parameters. To address this issue, we aimed to develop an imaging protocol that integrated 2-hydroxyglutarate (2HG) magnetic resonance spectroscopy (MRS) and intravoxel incoherent motion (IVIM) by comprehensively assessing metabolic, cellular, and angiogenic changes caused by IDH mutations, and explored the diagnostic efficiency of this imaging protocol for predicting IDH mutation status in clinical scenarios. Patients who met the inclusion criteria were categorized into two groups: IDH-wild type (IDH-WT) group and IDH-mutant (IDH-MT) group. Subsequently, we quantified the 2HG concentration, the relative apparent diffusion coefficient (rADC), the relative true diffusion coefficient value (rD), the relative pseudo-diffusion coefficient (rD*) and the relative perfusion fraction value (rf). Intergroup differences were estimated using t-test and Mann-Whitney U test. Finally, we performed receiver operating characteristic (ROC) curve and DeLong's test to evaluate and compare the diagnostic performance of individual parameters and their combinations. 64 patients (female, 21; male, 43; age, 47.0 ± 13.7years) were enrolled. Compared with IDH-WT gliomas, IDH-MT gliomas had higher 2HG concentration, rADC and rD (P < 0.001), and lower rD* (P = 0.013). The ROC curve demonstrated that 2HG + rD + rD* exhibited the highest areas under curve (AUC) value (0.967, 95%CI 0.889-0.996) for discriminating IDH mutation status. Compared with each individual parameter, the predictive efficiency of 2HG + rADC + rD* and 2HG + rD + rD* shows a statistically significant enhancement (DeLong's test: P < 0.05). The integration of 2HG MRS and IVIM significantly improves the diagnostic efficiency for predicting IDH mutation status in clinical scenarios.