Alterations In Gliomas Research Articles

Forms of Non-Apoptotic Cell Death and Their Role in Gliomas-Presentation of the Current State of Knowledge.

In addition to necrosis and apoptosis, the two forms of cell death that have been known for many decades, other non-apoptotic forms of cell death have been discovered, many of which also play a role in tumors. Starting with the description of autophagy more than 60 years ago, newer forms of cell death have become important for the biology of tumors, such as ferroptosis, pyroptosis, necroptosis, and paraptosis. In this review, all non-apoptotic and oncologically relevant forms of programmed cell death are presented, starting with their first descriptions, their molecular characteristics, and their role and their interactions in cell physiology and pathophysiology. Based on these descriptions, the current state of knowledge about their alterations and their role in gliomas will be presented. In addition, current efforts to therapeutically influence the molecular components of these forms of cell death will be discussed. Although research into their exact role in gliomas is still at a rather early stage, our review clarifies that all these non-apoptotic forms of cell death show significant alterations in gliomas and that important insight into understanding them has already been gained.

Identification of IDH and TERTp mutations using dynamic susceptibility contrast MRI with deep learning in 162 gliomas

PurposeIsocitrate dehydrogenase (IDH) and telomerase reverse transcriptase gene promoter (TERTp) mutations play crucial roles in glioma biology. Such genetic information is typically obtained invasively from excised tumor tissue; however, these mutations need to be identified preoperatively for better treatment planning. The relative cerebral blood volume (rCBV) information derived from dynamic susceptibility contrast MRI (DSC-MRI) has been demonstrated to correlate with tumor vascularity, functionality, and biology, and might provide some information about the genetic alterations in gliomas before surgery. Therefore, this study aims to predict IDH and TERTp mutational subgroups in gliomas using deep learning applied to rCBV images. MethodAfter the generation of rCBV images from DSC-MRI data, classical machine learning algorithms were applied to the features obtained from the segmented tumor volumes to classify IDH and TERTp mutation subgroups. Furthermore, pre-trained convolutional neural networks (CNNs) and CNNs enhanced with attention gates were trained using rCBV images or a combination of rCBV and anatomical images to classify the mutational subgroups. ResultsThe best accuracies obtained with classical machine learning algorithms were 83 %, 68 %, and 76 % for the identification of IDH mutational, TERTp mutational, and TERTp-only subgroups, respectively. On the other hand, the best-performing CNN model achieved 88 % accuracy (86 % sensitivity, 91 % specificity) for the IDH-mutational subgroups, 70 % accuracy (73 % sensitivity and 67 % specificity) for the TERTp-mutational subgroups, and 84 % accuracy (86 % sensitivity, 81 % specificity) for the TERTp-only subgroup using attention gates. ConclusionsDSC-MRI can be utilized to noninvasively classify IDH- and TERTp-based molecular subgroups of gliomas, facilitating preoperative identification of these genetic alterations.

PATH-35. SHIFTS IN GLIOMA PROGNOSTIC MOLECULAR FEATURES ACROSS THE LIFESPAN

Abstract INTRODUCTION Epidemiological studies examining glioma prognostic features have consistently identified older age as a negative predictor of survival. Accumulation and co-occurrence of favorable or deleterious molecular alterations across the lifespan likely plays a role in the age-dependent variability seen in glioma patient outcomes. METHODS We assembled 4,297 molecularly and clinically annotated glioma patients from multi-institutional datasets and TCGA, with IDH1/2-mutation, MGMT-methylation, and chromosome 1p19q codeletion status assayed. Patient age was stratified: pediatric (< 20 years), young adult (20-39 years), middle aged (40-64 years), and older adults ( >65 years). Pairwise proportions were tested to study distribution of alterations across age as well as variability in assaying for MGMT-methylation. RESULTS 4,297 patients with glioma were identified with molecular annotation of IDH1/2-mutation status (40.1% IDH1/2-mutant). Of assayed gliomas, 44.3% were MGMT-methylated and 13.9% had chromosome 1p19q codeletion. IDH1/2-mutation incidence decreased with age across all gliomas (85% in young adults, 35% middle aged, and 8% older adults) and in grade 4 gliomas (64% IDH1/2-mutation in young adults, 9% middle aged, and 2% older adults). 1p19q codeletion also decreased in incidence with increasing age (young adult 22%, middle aged 15%, older adults 6%). MGMT-methylation remained consistent across adult patients, between 43-50% across all gliomas. Interestingly, amongst the few patients >65 years old with IDH1/2-mutation or 1p19q codeletion, 87% possessed co-occurring MGMT-methylation, significantly greater than young adults (54%, p< 0.001). Consistent with this, 82% of patients >65yrs with grade 4 IDH1/2-mutant gliomas had co-occurring MGMT-methylation. Despite the treatment response implication of MGMT-methylation, 72.2% of low-grade gliomas were not assayed for MGMT. CONCLUSIONS There is an age-dependent pattern of molecular alterations in gliomas, with the incidence of certain favorable prognostic signatures decreasing over time. Given the stability of MGMT-methylation across the age spectrum and grade, more widespread MGMT profiling may be beneficial to guide treatment decisions.

CircRNF10 triggers a positive feedback loop to facilitate progression of glioblastoma via redeploying the ferroptosis defense in GSCs

BackgroundGlioma exhibit heterogeneous susceptibility for targeted ferroptosis. How circRNAs alterations in glioma promote iron metabolism and ferroptosis defense remains unclarified.MethodsThe highly enriched circRNAs in glioblastoma (GBM) were obtained through analysis of sequencing datasets. Quantitative real-time PCR (qRT–PCR) was used to determine the expression of circRNF10 in glioma and normal brain tissue. Both gain-of-function and loss-of-function studies were used to assess the effects of circRNF10 on ferroptosis using in vitro and in vivo assays. The hypothesis that ZBTB48 promotes ferroptosis defense was established using bioinformatics analysis and functional assays. RNA pull-down and RNA immunoprecipitation (RIP) assays were performed to examine the interaction between circRNF10 and target proteins including ZBTB48, MKRN3 and IGF2BP3. The posttranslational modification mechanism of ZBTB48 was verified using coimmunoprecipitation (co-IP) and ubiquitination assays. The transcription activation of HSPB1 and IGF2BP3 by ZBTB48 was confirmed through luciferase reporter gene and chromatin immunoprecipitation (ChIP) assays. The stabilizing effect of IGF2BP3 on circRNF10 was explored by actinomycin D assay. Finally, a series of in vivo experiments were performed to explore the influences of circRNF10 on the glioma progression.ResultsA novel circular RNA, hsa_circ_0028912 (named circRNF10), which is significantly upregulated in glioblastoma tissues and correlated with patients’ poor prognosis. Through integrated analysis of the circRNA-proteins interaction datasets and sequencing results, we reveal ZBTB48 as a transcriptional factor binding with circRNF10, notably promoting upregulation of HSPB1 and IGF2BP3 expression to remodel iron metabolism and facilitates the launch of a circRNF10/ZBTB48/IGF2BP3 positive feedback loop in GSCs. Additionally, circRNF10 can competitively bind to MKRN3 and block E3 ubiquitin ligase activity to enhance ZBTB48 expression. Consequently, circRNF10-overexpressed glioma stem cells (GSCs) display lower Fe2+ accumulation, selectively priming tumors for ferroptosis evading.ConclusionOur research presents abnormal circRNAs expression causing a molecular and metabolic change of glioma, which we leverage to discover a therapeutically exploitable vulnerability to target ferroptosis.

Efficient diagnosis of IDH-mutant gliomas: 1p/19qNET assesses 1p/19q codeletion status using weakly-supervised learning

Accurate identification of molecular alterations in gliomas is crucial for their diagnosis and treatment. Although, fluorescence in situ hybridization (FISH) allows for the observation of diverse and heterogeneous alterations, it is inherently time-consuming and challenging due to the limitations of the molecular method. Here, we report the development of 1p/19qNET, an advanced deep-learning network designed to predict fold change values of 1p and 19q chromosomes and classify isocitrate dehydrogenase (IDH)-mutant gliomas from whole-slide images. We trained 1p/19qNET on next-generation sequencing data from a discovery set (DS) of 288 patients and utilized a weakly-supervised approach with slide-level labels to reduce bias and workload. We then performed validation on an independent validation set (IVS) comprising 385 samples from The Cancer Genome Atlas, a comprehensive cancer genomics resource. 1p/19qNET outperformed traditional FISH, achieving R2 values of 0.589 and 0.547 for the 1p and 19q arms, respectively. As an IDH-mutant glioma classifier, 1p/19qNET attained AUCs of 0.930 and 0.837 in the DS and IVS, respectively. The weakly-supervised nature of 1p/19qNET provides explainable heatmaps for the results. This study demonstrates the successful use of deep learning for precise determination of 1p/19q codeletion status and classification of IDH-mutant gliomas as astrocytoma or oligodendroglioma. 1p/19qNET offers comparable results to FISH and provides informative spatial information. This approach has broader applications in tumor classification.

The Spectrum of Molecular Pathways in Gliomas-An Up-to-Date Review.

During the last 20 years, molecular alterations have gained increasing significance in the diagnosis and biological assessment of tumors. Gliomas represent the largest group of tumors of the central nervous system, and the main aim of this review is to present the current knowledge on molecular pathways and their alterations in gliomas. A wide range of new insights has been gained, including evidence for the involvement of the WNT pathway or the hippo pathway in the pathobiology of gliomas, indicating a broad involvement of different pathways formerly not considered to play a central role in gliomas. Even new aspects of angiogenic, apoptotic, and metabolic pathways are presented, as well as the rapidly growing field of epigenetic processes, including non-coding RNAs. The two major conclusions drawn from the present review are the distinct interconnectivity of the whole spectrum of molecular pathways and the prominent role of non-coding RNAs, especially circular RNAs, in the regulation of specific targets. All these new insights are discussed, even considering the topic of the resistance to therapy of gliomas, along with aspects that are still incompletely understood, like the role of hydroxymethylation, or even ferroptosis, in the pathobiology of gliomas.

Global analysis of iron metabolism-related genes identifies potential mechanisms of gliomagenesis and reveals novel targets.

This study aimed to investigate key regulators of aberrant iron metabolism in gliomas, and evaluate their effect on biological functions and clinical translational relevance. We used transcriptomic data from multiple cross-platform glioma cohorts to identify key iron metabolism-related genes (IMRGs) based on a series of bioinformatic and machine learning methods. The associations between IMRGs and prognosis, mesenchymal phenotype, and genomic alterations were analyzed in silico. The performance of the IMRGs-based signature in predicting temozolomide (TMZ) treatment sensitivity was evaluated. In vitro and in vivo experiments were used to explore the biological functions of these key IMRGs. HMOX1, LTF, and STEAP3 were identified as the most essential IMRGs in gliomas. The expression levels of these genes were strongly related to clinicopathological and molecular features. The robust IMRG-based gene signature could be used for prognosis prediction. These genes facilitate mesenchymal transformation, driver gene mutations, and oncogenic alterations in gliomas. The gene signature was also associated with TMZ resistance. HMOX1, LTF, and STEAP3 knockdown in glioma cells significantly reduced cell proliferation, colony formation, migration, and malignant invasion. The study presented a comprehensive view of key regulators underpinning iron metabolism in gliomas and provided new insights into novel therapeutic approaches.

THE CLINICAL AND MOLECULAR LANDSCAPE OF GLIOMAS IN ADOLESCENTS AND YOUNG ADULTS

Abstract Molecular alterations in gliomas in adolescents and young adults (AYA) have not been comprehensively described to date. To determine the impact of mutation, we performed a population based study of gliomas in AYA. METHODS: Patients diagnosed from 2000-2019 with glioma between 15-39.9 years were eligible. Comprehensive molecular analysis was performed. Therapeutic and outcome data was collected. For comparison, analysis included patients aged 0-39.9 years. RESULTS: A total of 876 AYA gliomas were included. Genetic alterations were found in 95% of available tumours. Pediatric-type mutations were found in 33% of AYA tumours. The most common paediatric alterations included BRAF p.V600E (11%) and FGFR alterations (7%) while BRAF fusions (4%), H3 p.K27M (4%) and H3.3 p.G34R (1%) were rare. IDH mutation was found in 57% of tumours. Molecular GBM accounted for 7%. Paediatric-type alterations had different outcomes in AYA than children. Ten-year OS of 100%, 90% and 95% was seen for BRAF fused, BRAF-V600E and FGFR-altered AYA low grade glioma (LGG), compared to 14% and 25% for BRAF- V600E and FGFR-altered high grade glioma (HGG) respectively. BRAF and FGFR mutant tumours had higher proportion of HGG versus LGG in AYA compared to children (OR 2.6, 95% CI 1.2-5.6) while outcome was improved in LGG in AYA compared to children with a 10 year PFS of 76.8% vs 51.6% respectively (p=0.0009) suggesting a transition phase occurring during adolescence and early adulthood. CONCLUSIONS: AYA gliomas are enriched for paediatric-type alterations with distinct outcomes. Routine analysis is required given the role for targeted inhibitors.

P16 Immunohistochemical Expression as a Surrogate Assessment of CDKN2A Alteration in Gliomas Leading to Prognostic Significances.

CDKN2A is a tumor suppressor gene encoding the p16 protein, a key regulator of the cell cycle. CDKN2A homozygous deletion is a central prognostic factor for numerous tumors and can be detected by several techniques. This study aims to evaluate the extent to which immunohistochemical levels of p16 expression may provide information about CDKN2A deletion. A retrospective study was conducted in 173 gliomas of all types, using p16 IHC and CDKN2A fluorescent in situ hybridization. Survival analyses were performed to assess the prognostic impact of p16 expression and CDKN2A deletion on patient outcomes. Three patterns of p16 expression were observed: absence of expression, focal expression, and overexpression. Absence of p16 expression was correlated with worse outcomes. p16 overexpression was associated with better prognoses in MAPK-induced tumors, but with worse survival in IDH-wt glioblastomas. CDKN2A homozygous deletion predicted worse outcomes in the overall patient population, particularly in IDH-mutant 1p/19q oligodendrogliomas (grade 3). Finally, we observed a significant correlation between p16 immunohistochemical loss of expression and CDKN2A homozygosity. IHC has strong sensitivity and high negative predictive value, suggesting that p16 IHC might be a pertinent test to detect cases most likely harboring CDKN2A homozygous deletion.

Implications of BRAF V600E mutation in gliomas: Molecular considerations, prognostic value and treatment evolution.

Gliomas are molecularly heterogeneous brain tumors responsible for the most years of life lost by any cancer. High-grade gliomas have a poor prognosis and despite multimodal treatment including surgery, radiotherapy, and chemotherapy, exhibit a high recurrence rate. There is a need for new therapeutic approaches based on precision medicine informed by biomarker assessment and BRAF, a key regulator of MAPK signaling pathway, influencing cell differentiation, proliferation, migration and pro-tumorigenic activity, is emerging as a promising molecular target. V600E, is the most frequent BRAF alteration in gliomas, especially in pediatric low-grade astrocytomas, pleomorphic xanthoastrocytoma, papillary craniopharyngioma, epithelioid glioblastoma and ganglioglioma. The possible application of BRAF-targeted therapy in gliomas is continuously growing and there is preliminary evidence of prolonged disease control obtained by BRAF inhibitors in tumors harboring BRAF V600E mutation. The possibility of introducing targeted therapies into the treatment algorithm represents a paradigm shift for patients with BRAF V600E mutant recurrent high-grade and low-grade glioma and BRAF routine testing should be considered in clinical practice. The focus of this review is to summarize the molecular landscape of BRAF across glioma subtypes and the novel therapeutic strategies for BRAF V600E mutated tumors.

Lipid Alterations in Glioma: A Systematic Review.

Gliomas are highly lethal tumours characterised by heterogeneous molecular features, producing various metabolic phenotypes leading to therapeutic resistance. Lipid metabolism reprogramming is predominant and has contributed to the metabolic plasticity in glioma. This systematic review aims to discover lipids alteration and their biological roles in glioma and the identification of potential lipids biomarker. This systematic review was conducted using the preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines. Extensive research articles search for the last 10 years, from 2011 to 2021, were conducted using four electronic databases, including PubMed, Web of Science, CINAHL and ScienceDirect. A total of 158 research articles were included in this study. All studies reported significant lipid alteration between glioma and control groups, impacting glioma cell growth, proliferation, drug resistance, patients' survival and metastasis. Different lipids demonstrated different biological roles, either beneficial or detrimental effects on glioma. Notably, prostaglandin (PGE2), triacylglycerol (TG), phosphatidylcholine (PC), and sphingosine-1-phosphate play significant roles in glioma development. Conversely, the most prominent anti-carcinogenic lipids include docosahexaenoic acid (DHA), eicosapentaenoic acid (EPA), and vitamin D3 have been reported to have detrimental effects on glioma cells. Furthermore, high lipid signals were detected at 0.9 and 1.3 ppm in high-grade glioma relative to low-grade glioma. This evidence shows that lipid metabolisms were significantly dysregulated in glioma. Concurrent with this knowledge, the discovery of specific lipid classes altered in glioma will accelerate the development of potential lipid biomarkers and enhance future glioma therapeutics.

Glioma Shapes Blood-Brain Barrier Integrity and Remodels the Tumor Microenvironment: Links with Clinical Features and Prognosis.

Background: The presence of the blood–brain barrier (BBB) uniquely distinguishes the brain from other organs, and various brain pathologies, including cancer, can disrupt or breach the BBB. The specific implications of BBB alterations in glioma have not been sufficiently clarified. Methods: In this study, statistical analysis of the TCGA pan-glioma dataset and four other validation cohorts was used to investigate the infiltration of BBB constituent cells (endothelial cells, pericytes and astrocytes) in the glioma tumor microenvironment (TME). Results: We found that the infiltration proportions of the three BBB constituent cell types were highly collinear, which implied alteration of the BBB. Hence, we developed an index, the BBB score, which is calculated based on the infiltration proportion of BBB constituent cells. Furthermore, we observed that patients with higher BBB scores were more likely to be diagnosed with more malignant entities in the TCGA database according to significant molecular features, such as IDH mutation status and 1p/19q deletion. The BBB score was also strikingly positively correlated with WHO grade in other cohorts. More importantly, a higher BBB score correlated with shorter survival time and unfavorable prognosis in glioma patients. Finally, we showed that TME-related pathways may regulate BBB alterations and that coinhibitory immune checkpoints were enriched in samples with higher BBB scores. Conclusions: We showed that TME-related pathways may regulate BBB alterations and that coinhibitory immune checkpoints were enriched in samples with higher BBB scores. Assessing BBB alterations may help elucidate the complex role of the glioma TME and suggest new combination treatment strategies.

P14.04.A TrackingTERTpromoter andIDH1mutations in liquid biopsies - suitable biomarkers for disease monitoring in glioma patients?

Abstract Background Mutations within the telomerase reverse transcriptase promoter (TERTprom) and isocitrate dehydrogenase (IDH) account for the most common genetic alterations in gliomas. Each of these mutations impact clinicopathologic diagnosis and course of diseases. While TERTprom mutations are frequently detected in glioblastoma, IHD mutations are assigned to astrocytoma of grade 2-4, thus mostly associated with better prognosis. In the era of precision oncology, molecular profiling and continuous monitoring of treatment response or relapse are of increasing importance. Accordingly, this study aims to detect TERTprom and IDH mutations in plasma-derived cell-free (cf)DNA of gliomas. The mutant allele frequencies (MAF) will be compared retrospectively to clinico-pathological parameters including extent of resection and tumor progression. Material and Methods Digital droplet PCR (ddPCR) analyses were performed using the QX200TM Digital Droplet System from BioRad. First, to evaluate probes for ddPCR, genomic DNA of several brain tumor cell models (n=6) and tumor tissue (n=1), as well as cfDNA of plasma (n=3) from samples with known TERTprom and IDH mutation status was investigated. For detection of IDH mutations, the unique assay ID dHSaMDV2010055 (IDH1p.R132H) and for TERTprom mutations the TaqMan dPCR Liquid Biopsy Assays for C228T (Hs000000092) and C250T (Hs000000093) were used. The results of ddPCR were analyzed with QuantaSoftTM software and the MAF was calculated Results To validate the detection method for IDH1R132H, we analyzed the MAF in one tissue and corresponding plasma sample of a confirmed IDH1-mutated astrocytoma. In addition, plasma from one astrocytoma grade 2-3 as well as from an IDH1-mutated glioblastoma was tested. Interestingly, both astrocytoma cases exhibited undetectable or very low MAF ranging from 0.1 to 1% in tissue as well as in plasma samples, while in plasma from the high-grade glioblastoma case, IDH1R132H was detected with a frequency of 1.9%. Due to the high GC content of the TERT promoter region, amplification steps are challenging. Accordingly, we first optimized ddPCR conditions for C228T and C250T probes by adding 7-deaza-2-deoxyguanosine-5-triphosphate (7-ddGTP) in varying concentrations to each ddPCR reaction. When using 4µM of 7-ddGTP per sample, a clear separation between mutant and wild-type droplets was reached, detecting MAF between 36-63% in DNA from cell culture models. Conclusion Within this pilot study we optimized the ddPCR method for the detection of IDH1R132H and TERTprom mutations in plasma and tissue samples. Subsequently, we hypothesize that these mutations are suitable liquid biomarkers correlating with extent of resection and tumor progression in gliomas.

DNA methylation-based epigenetic signatures predict somatic genomic alterations in gliomas

Molecular classification has improved diagnosis and treatment for patients with malignant gliomas. However, classification has relied on individual assays that are both costly and slow, leading to frequent delays in treatment. Here, we propose the use of DNA methylation, as an emerging clinical diagnostic platform, to classify gliomas based on major genomic alterations and provide insight into subtype characteristics. We show that using machine learning models, DNA methylation signatures can accurately predict somatic alterations and show improvement over existing classifiers. The established Unified Diagnostic Pipeline (UniD) we develop is rapid and cost-effective for genomic alterations and gene expression subtypes diagnostic at early clinical phase and improves over individual assays currently in clinical use. The significant relationship between genetic alteration and epigenetic signature indicates broad applicability of our approach to other malignancies.

Abstract 5875: Germline gene alterations in high grade and low grade gliomas: A multi-center, large scale study in China

Abstract Backgrounds: Germline gene alterations in gliomas play a significant role during malignant transformation of progenitor glial cells. Previous pan-caner studies suggested 6-10% of gliomas patients harboring germline gene mutations. However, these studies are limited to only known cancer predisposition genes and a small scale of gliomas patients. In this study, we performed a multi-canter, large scale study to investigate the contribution of germline gene alterations to LGG and HGG. Methods: Genomic DNA was extracted from white blood cells from 1006 LGG patients and 1578 HGG patients and was subjected to Next-generation sequencing with Onco PanScan. Pathogenic or likely pathogenic germline variants (PGVs) were identified in 150 putative cancer-predisposition genes according to ACGM guideline. Fisher’s exact test was used for the statistics analysis (two-sided). Results: We identified 54 PGVs in LGG patients and 112 PGVs in HGG patients which were located in 31 and 40 unique genes, respectively (Table 1). There was a significant difference between HGG and LGG in younger patients with germline gene mutations (A group, p < 0.001), while not in B and C group. The results indicated that the incidence rate of TP53 or MSH2 germline mutations in HGG patients was much higher than in LGG patient (p < 0.01), while a lower incidence rate of ERCC5 germline mutations was observed in HGG patients in comparison with LGG patients (p < 0.05). Conclusions: This study indicated a higher PGVs frequency in HGG than in LGG, especially in younger group. In addition, there is different contribution of germline gene alterations to risk the formation of LGG or HGG. It might aid in the early diagnosis of these patients and genetic counseling of their families. Informations of PGVs in LGG and HGG LGG HGG Numbers of mutation carriers Numbers of LGG Mutation rate Numbers of mutation carriers Numbers of HGG Mutation rate Age A: 0-30 years 14 a*** 292 4.1% 29 b*** 189 15.3% B: 31-55 years 30 554 5.4% 41 639 6.4% C: >55 years 10 160 6.3% 42 c*** 750 5.6% Total 54 1006 5.4% 112 1578 7.1% Gender Male 35 567 6.2% 65 935 7.0% Female 19 439 4.3% 50 643 7.8% Total 54 1006 5.4% 112 1578 7.1% Top ten of high mutation rate ERCC5*, MUTYH, BRCA2, CHEK2, WRN, PRSS1, MSH6, FANCD2, ERCC2, FANCA TP53**, MSH2**, BRCA2, NF1, RAD51D, MSH6, PRSS1, BUB1B, PDE11A, BLM Note: LGG 1, Low Grade Glioma; HGG 2, High Grade Glioma; aNumbers of mutation carriers in A group were statistical different in LGG and HGG patients; bNumbers of mutation carriers in A group and B group were statistical different in HGG patients; cNumbers of mutation carriers in A group and C group were statistical different in HGG patients; * p < 0.05; ** p < 0.01; *** p < 0.001 Citation Format: Jie Wang, Bella Guo, Xiang Zhang, Ximeng Zhao, Dongsheng Wang, Fei Sun, Tonghui Ma. Germline gene alterations in high grade and low grade gliomas: A multi-center, large scale study in China [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 5875.

Characterizing malignant transformation in patients with IDH-mutant glioma.

2065 Background: Gliomas, which constitute the majority of primary brain cancers in adults, are assigned to a particular grade based on histological and molecular criteria set forth by the World Health Organization (WHO). A subset of initially low grade glioma patients transition to a higher grade at recurrence through a process known as malignant transformation (MT). Despite its significant implications on clinical prognosis, MT remains a poorly understood phenomenon in regards to its incidence rates, effects on survival, and potential prognostic factors. Our study aims to elucidate MT in patients that possess a mutation in the isocitrate dehydrogenase ( IDH) gene, one of the most common genetic alterations in gliomas. Methods: All known IDH mutant glioma patients, seen at UCLA between 1986 and 2022, who received at least 1 repeat resection for presumed recurrent disease were included. Based on surgical pathology reports, patients were categorized into MT and non-transforming progression groups, and further stratified by diagnosis in compliance with the 2016 WHO Classification of Tumors of the Central Nervous System. Relevant clinical information, including patient demographics, survival data, tumor microscopic descriptions, and magnetic resonance imaging, was accessed via electronic medical records. Kaplan Meier analyses were conducted to evaluate the predictive power of various clinical, pathological, and radiological markers. Results: Of 724 total IDH mutant patients screened, 253 received a second surgery and were thus incorporated in this study. Among the 196 patients with lower grade pathologies capable of MT, 129 (65.8%) progressed to a higher grade at recurrence while 71 (36.2%) did not. By diagnosis, the incidence rates of MT for initial grade 2 astrocytomas, grade 3 astrocytomas, and grade 2 oligodendrogliomas were determined to be 74.7%, 48.9%, and 66.1%, respectively. MT was associated with worse overall survival and post-recurrence survival compared to non-transformation in astrocytomas, a trend not seen in oligodendrogliomas. Across all relevant diagnoses, a subset of 36 MT patients did not receive treatment in the interval between initial and recurrent surgery, demonstrating the existence of spontaneously occurring MT. Furthermore, consolidating data from pathology and MRI reports revealed that a greater extent of abnormal molecular characteristics at initial diagnosis and earlier post-operative contrast enhancement may predict MT. Conclusions: These results highlight the distinct nature of gliomas that undergo MT, particularly in tumors of astrocytic differentiation. Considering its adverse impact on clinical outcome, understanding and anticipating this phenomenon is instrumental for the determination of optimal treatment among glioma patients.

Crosstalk of Epigenetic and Metabolic Signaling Underpinning Glioblastoma Pathogenesis.

Simple SummaryEpigenetic mechanisms can modulate key genes involved in the cellular metabolism of glioblastomas and participate in their pathogenesis by increasing their heterogeneity, plasticity, and malignancy. Although most epigenetic modifications can primarily promote the activity of metabolic pathways, they may also exert an inhibitory role. The detection of key metabolic alterations in gliomas regulated by epigenetic mechanisms will enable drug development and effective molecular targeting, improvement of therapeutic schemes, and patients’ management.Metabolic alterations in neoplastic cells have recently gained increasing attention as a main topic of research, playing a crucial regulatory role in the development and progression of tumors. The interplay between epigenetic modifications and metabolic pathways in glioblastoma cells has emerged as a key pathogenic area with great potential for targeted therapy. Epigenetic mechanisms have been demonstrated to affect main metabolic pathways, such as glycolysis, pentose phosphate pathway, gluconeogenesis, oxidative phosphorylation, TCA cycle, lipid, and glutamine metabolism by modifying key regulatory genes. Although epigenetic modifications can primarily promote the activity of metabolic pathways, they may also exert an inhibitory role. In this way, they participate in a complex network of interactions that regulate the metabolic behavior of malignant cells, increasing their heterogeneity and plasticity. Herein, we discuss the main epigenetic mechanisms that regulate the metabolic pathways in glioblastoma cells and highlight their targeting potential against tumor progression.

ITGA5 Is a Novel Oncogenic Biomarker and Correlates With Tumor Immune Microenvironment in Gliomas.

Gliomas are the most aggressive primary intracranial malignancies with poor overall survival. ITGA5 is one member of the integrin adhesion molecule family and is implicated in cancer metastasis and oncogenesis. However, few studies have explored the association between tumor immune microenvironment and ITGA5 expression level in gliomas. Firstly, we analyzed 3,047 glioma patient samples collected from the TCGA, the CGGA, and the GEO databases, proving that high ITGA5 expression positively related to aggressive clinicopathological features and poor survival in glioma patients. Then, based on the ITGA5 level, immunological characteristics and genomic alteration were explored through multiple algorithms. We observed that ITGA5 was involved in pivotal oncological pathways, immune-related processes, and distinct typical genomic alterations in gliomas. Notably, ITGA5 was found to engage in remolding glioma immune infiltration and immune microenvironment, manifested by higher immune cell infiltration when ITGA5 is highly expressed. We also demonstrated a strong correlation between ITGA5 and immune checkpoint molecules that may be beneficial from immune checkpoint blockade strategies. In addition, ITGA5 was found to be a robust and sensitive indicator for plenty of chemotherapy drugs through drug sensitivity prediction. Altogether, our comprehensive analyses deciphered the prognostic, immunological, and therapeutic value of ITGA5 in glioma, thus improving individual and precise therapy for combating gliomas.

Application of Cluster Analysis of Time Evolution for Magnetic Resonance Imaging -Derived Oxygen Extraction Fraction Mapping: A Promising Strategy for the Genetic Profile Prediction and Grading of Glioma.

Background: The intratumoral heterogeneity of oxygen metabolism and angiogenesis are core hallmarks of glioma, unveiling that genetic aberrations associated with magnetic resonance imaging (MRI) phenotypes may aid in the diagnosis and treatment of glioma.Objective: To explore the predictability of MRI-based oxygen extraction fraction (OEF) mapping using cluster analysis of time evolution (CAT) for genetic profiling and glioma grading.Methods: Ninety-one patients with histopathologically confirmed glioma were examined with CAT for quantitative susceptibility mapping and quantitative blood oxygen level–dependent magnitude-based OEF mapping and dynamic contrast-enhanced (DCE) MRI. Imaging biomarkers, including oxygen metabolism (OEF) and angiogenesis [volume transfer constant, cerebral blood volume (CBV), and cerebral blood flow], were investigated to predict IDH mutation, O6-methylguanine-DNA-methyltransferase (MGMT) promoter methylation status, receptor tyrosine kinase (RTK) subgroup, and differentiation of glioblastoma (GBM) vs. lower-grade glioma (LGG). The corresponding DNA sequencing was also obtained. Results were compared with DCE-MRI using receiver operating characteristic (ROC) analysis.Results: IDH1-mutated LGGs exhibited significantly lower OEF and hypoperfusion than IDH wild-type tumors (all p < 0.01). OEF and perfusion metrics showed a tendency toward higher values in MGMT unmethylated GBM, but only OEF retained significance (p = 0.01). Relative prevalence of RTK alterations was associated with increased OEF (p = 0.003) and perfusion values (p < 0.05). ROC analysis suggested OEF achieved best performance for IDH mutation detection [area under the curve (AUC) = 0.828]. None of the investigated parameters enabled prediction of MGMT status except OEF with a moderate AUC of 0.784. Predictive value for RTK subgroup was acceptable by using OEF (AUC = 0.764) and CBV (AUC = 0.754). OEF and perfusion metrics demonstrated excellent performance in glioma grading. Moreover, mutational landscape revealed hypoxia or angiogenesis-relevant gene signatures were associated with specific imaging phenotypes.Conclusion: CAT for MRI-based OEF mapping is a promising technology for oxygen measurement and along with perfusion MRI can predict genetic profiles and tumor grade in a non-invasive and clinically relevant manner.Clinical Impact: Physiological imaging provides an in vivo portrait of genetic alterations in glioma and offers a potential strategy for non-invasively selecting patients for individualized therapies.

365P The analysis of FGFR-gene family alterations in glioma

Fibroblast growth factor (FGFR) alterations are implicated across a range of solid tumors, promoting oncogenesis as a result of amplification, mutations, and structural variations. The FGFR gene family consists of four highly conserved transmembrane tyrosine kinase receptors (FGFR1–4). FGFR signaling influences angiogenesis and tumor cell migration, differentiation, proliferation, and survival. Recently, the cIMPACT-NOW released update 4 and update research, which considered FGFR alterations as a marker in brain tumor classification and prognosis.