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Journal articles on the topic 'Gliomas classification'

Author: Grafiati

Published: 25 May 2024

Last updated: 31 July 2025

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1

Faraji-Rad, Mohammad. "Epidemiological Study of Molecular and Genetic Classification in Adult Diffuse Glioma." International Journal of Surgery & Surgical Techniques 6, no. 2 (2022): 1–5. http://dx.doi.org/10.23880/ijsst-16000171.

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Background: Mutations in isocitrate dehydrogenase 1 (IDH1) and isocitrate dehydrogenase 2 (IDH2) are frequent in lowgrade and high-grade gliomas. However, the diagnostic criteria, in particular for gliomas, are highly various. The aim of our study was to establish genetic profiles for mutation and calcification of diffuse gliomas and to evaluate their predictive factors. Methods: We estimate the different clinical and molecular characterization between IDH1, IDH2 mutant gliomas, p53, ATRX and 1p19q. In addition, whole-transcriptome sequencing and DNA extraction data were used to evaluate the d

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Kwikima, Ugumba. "GLIOMA-04 BRIDGING THE GAP ON ADULT GLIOMA IMAGING, DIAGNOSIS AND FOLLOW UP IN SUB-SAHARAN AFRICA." Neuro-Oncology Advances 5, Supplement_4 (2023): iv1. http://dx.doi.org/10.1093/noajnl/vdad121.003.

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Abstract Cerebral Gliomas are the most common and devastating primary brain tumors. Prior to 2016 WHO CNS tumor classification update, the grading of gliomas, mainly relied on histological features, including cellularity, nuclear atypia, mitotic activity, vascularity, and necrosis, observed on light microscopy with the aid of immunohistochemistry. A number of studies confirmed that diffuse gliomas demonstrates different growth pattern, clinical behavior, and prognostication based on their genomic alterations, these findings necessitated incorporation of molecular subtypes in glioma classificat

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Kalidindi, Navya, Rosemarylin Or, Sam Babak, and Warren Mason. "Molecular Classification of Diffuse Gliomas." Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques 47, no. 4 (2020): 464–73. http://dx.doi.org/10.1017/cjn.2020.10.

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ABSTRACT:Technological advances in the field of molecular genetics have improved the ability to classify brain tumors into subgroups with distinct clinical features and important therapeutic implications. The World Health Organization’s newest update on classification of gliomas (2016) incorporated isocitrate dehydrogenase 1 and 2 mutations, ATRX loss, 1p/19q codeletion status, and TP53 mutations to allow for improved classification of glioblastomas, low-grade and anaplastic gliomas. This paper reviews current advances in the understanding of diffuse glioma classification and the impact of mol

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Hauser, Peter. "Classification and Treatment of Pediatric Gliomas in the Molecular Era." Children 8, no. 9 (2021): 739. http://dx.doi.org/10.3390/children8090739.

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The overall survival of pediatric gliomas varies over a wide spectrum depending on the tumor grade. Low-grade gliomas have an excellent long-term survival, with a possible burden of surgery, irradiation, and chemotherapy; in contrast, high-grade gliomas generally have a short-term, devastating lethal outcome. Recent advances in understanding their molecular background will transform the classification and therapeutic approaches of pediatric gliomas. Molecularly targeted treatments may acquire a leading role in the primary treatment of low-grade gliomas and may provide alternative therapeutic s

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Hervey-Jumper, Shawn L., Jing Li, Joseph A. Osorio, et al. "Surgical assessment of the insula. Part 2: validation of the Berger-Sanai zone classification system for predicting extent of glioma resection." Journal of Neurosurgery 124, no. 2 (2016): 482–88. http://dx.doi.org/10.3171/2015.4.jns1521.

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OBJECT Though challenging, maximal safe resection of insular gliomas enhances overall and progression-free survival and deters malignant transformation. Previously published reports have shown that surgery can be performed with low morbidity. The authors previously described a Berger-Sanai zone classification system for insular gliomas. Using a subsequent dataset, they undertook this study to validate this zone classification system for predictability of extent of resection (EOR) in patients with insular gliomas. METHODS The study population included adults who had undergone resection of WHO G

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Billard, P., C. Guerriau, C. Carpentier, et al. "OS02.6.A The TeloDIAG: How telomeric parameters can help in glioma rapid diagnosis and liquid biopsies approaches." Neuro-Oncology 23, Supplement_2 (2021): ii5—ii6. http://dx.doi.org/10.1093/neuonc/noab180.015.

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Abstract BACKGROUND The integration of molecular markers into the WHO 2016 classification has clarified the complex diagnosis of gliomas. Among these biomarkers, the TERT promoter mutation and the loss of ATRX (ATRX loss) are mutually exclusive alterations associated with re-activation of telomerase or alternative lengthening of telomeres (ALT), respectively. Strangely, 25% of gliomas display neither or both these alterations, a situation referred to as abnormal telomere maintenance mechanism (aTMM). MATERIAL AND METHODS To investigate the TMM actually involved in gliomas, the C-circle (CC) as

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Cinarer, Gokalp, and Bulent Gursel Emiroglu. "Classification of brain tumours using radiomic features on MRI." New Trends and Issues Proceedings on Advances in Pure and Applied Sciences, no. 12 (April 30, 2020): 80–90. http://dx.doi.org/10.18844/gjpaas.v0i12.4989.

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Glioma is one of the most common brain tumours among the diagnoses of existing brain tumours. Glioma grades are important factors that should be known in the treatment of brain tumours. In this study, the radiomic features of gliomas were analysed and glioma grades were classified by Gaussian Naive Bayes algorithm. Glioma tumours of 121 patients of Grade II and Grade III were examined. The glioma tumours were segmented with the Grow Cut Algorithm and the 3D feature of tumour magnetic resonance imaging images were obtained with the 3D Slicer programme. The obtained quantitative values were stat

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Im, Sanghyuk, Jonghwan Hyeon, Eunyoung Rha, et al. "Classification of Diffuse Glioma Subtype from Clinical-Grade Pathological Images Using Deep Transfer Learning." Sensors 21, no. 10 (2021): 3500. http://dx.doi.org/10.3390/s21103500.

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Diffuse gliomas are the most common primary brain tumors and they vary considerably in their morphology, location, genetic alterations, and response to therapy. In 2016, the World Health Organization (WHO) provided new guidelines for making an integrated diagnosis that incorporates both morphologic and molecular features to diffuse gliomas. In this study, we demonstrate how deep learning approaches can be used for an automatic classification of glioma subtypes and grading using whole-slide images that were obtained from routine clinical practice. A deep transfer learning method using the ResNe

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Chen, Jiaqi, Jin Yang, Jinyu Wang, et al. "Study on an Automatic Classification Method for Determining the Malignancy Grade of Glioma Pathological Sections Based on Hyperspectral Multi-Scale Spatial–Spectral Fusion Features." Sensors 24, no. 12 (2024): 3803. http://dx.doi.org/10.3390/s24123803.

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This study describes a novel method for grading pathological sections of gliomas. Our own integrated hyperspectral imaging system was employed to characterize 270 bands of cancerous tissue samples from microarray slides of gliomas. These samples were then classified according to the guidelines developed by the World Health Organization, which define the subtypes and grades of diffuse gliomas. We explored a hyperspectral feature extraction model called SMLMER-ResNet using microscopic hyperspectral images of brain gliomas of different malignancy grades. The model combines the channel attention m

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Yuan, Feng, Yingshuai Wang, Lei Yuan, et al. "Machine learning–based new classification for immune infiltration of gliomas." PLOS ONE 19, no. 10 (2024): e0312071. http://dx.doi.org/10.1371/journal.pone.0312071.

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Background Glioma is a highly heterogeneous and poorly immunogenic malignant tumor, with limited efficacy of immunotherapy. The characteristics of the immunosuppressive tumor microenvironment (TME) are one of the important factors hindering the effectiveness of immunotherapy. Therefore, this study aims to reveal the immune microenvironment (IME) characteristics of glioma and predict different immune subtypes using machine learning methods, providing guidance for immune therapy in glioma. Methods We first performed unsupervised cluster analysis on the genes and arrays of 693 gliomas in CGGA dat

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Pisapia, David J. "The Updated World Health Organization Glioma Classification: Cellular and Molecular Origins of Adult Infiltrating Gliomas." Archives of Pathology & Laboratory Medicine 141, no. 12 (2017): 1633–45. http://dx.doi.org/10.5858/arpa.2016-0493-ra.

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Context.— In the recently updated World Health Organization (WHO) classification of central nervous system tumors, our concept of infiltrating gliomas as a molecular dichotomy between oligodendroglial and astrocytic tumors has been codified. Advances in animal models of glioma and a wealth of sophisticated molecular analyses of human glioma tissue have led to a greater understanding of some of the biologic underpinnings of gliomagenesis. Objective.— To review our understanding of gliomagenesis in the setting of the recently updated WHO classification of central nervous system tumors. Topics ad

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Tom, Martin C., Daniel P. Cahill, Jan C. Buckner, Jörg Dietrich, Michael W. Parsons, and Jennifer S. Yu. "Management for Different Glioma Subtypes: Are All Low-Grade Gliomas Created Equal?" American Society of Clinical Oncology Educational Book, no. 39 (May 2019): 133–45. http://dx.doi.org/10.1200/edbk_238353.

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Following the identification of key molecular alterations that provided superior prognostication and led to the updated 2016 World Health Organization (WHO) Central Nervous System (CNS) Tumor Classification, the understanding of glioma behavior has rapidly evolved. Mutations in isocitrate dehydrogenase (IDH) 1 and 2 are present in the majority of adult grade 2 and 3 gliomas, and when used in conjunction with 1p/19q codeletion for classification, the prognostic distinction between grade 2 versus grade 3 is diminished. As such, the previously often used term of “low-grade glioma,” which referred

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Lewis, Paul D. "Classification of gliomas." Current Diagnostic Pathology 2, no. 3 (1995): 175–80. http://dx.doi.org/10.1016/s0968-6053(05)80056-0.

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Sanai, Nader, Juan Martino, and Mitchel S. Berger. "Morbidity profile following aggressive resection of parietal lobe gliomas." Journal of Neurosurgery 116, no. 6 (2012): 1182–86. http://dx.doi.org/10.3171/2012.2.jns111228.

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Object The impact of parietal lobe gliomas is typically studied in the context of parietal lobe syndromes. However, critical language pathways traverse the parietal lobe and are susceptible during tumor resection. The authors of this study reviewed their experience with parietal gliomas to characterize the impact of resection and the morbidity associated with language. Methods The study population included adults who had undergone resection of parietal gliomas of all grades. Tumor location was identified according to a proposed classification system for parietal region gliomas. Low- and high-g

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Qin, Yan, Wei You, Yulong Wang, et al. "Magnetic Resonance Imaging Radiomics-Driven Artificial Neural Network Model for Advanced Glioma Grading Assessment." Medicina 61, no. 6 (2025): 1034. https://doi.org/10.3390/medicina61061034.

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Background and Objectives: Gliomas are characterized by high disability rates, frequent recurrence, and low survival rates, posing a significant threat to human health. Accurate grading of gliomas is crucial for treatment plan selection and prognostic assessment. Previous studies have primarily focused on the binary classification (i.e., high grade vs. low grade) of gliomas. In order to perform the four-grade (grades I, II, III, and IV) glioma classification preoperatively, we constructed an artificial neural network (ANN) model using magnetic resonance imaging data. Materials and Methods: We

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Yoel, Abigail, Shazia Adjumain, Yuqing Liang, Paul Daniel, Ron Firestein, and Vanessa Tsui. "Emerging and Biological Concepts in Pediatric High-Grade Gliomas." Cells 13, no. 17 (2024): 1492. http://dx.doi.org/10.3390/cells13171492.

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Primary central nervous system tumors are the most frequent solid tumors in children, accounting for over 40% of all childhood brain tumor deaths, specifically high-grade gliomas. Compared with pediatric low-grade gliomas (pLGGs), pediatric high-grade gliomas (pHGGs) have an abysmal survival rate. The WHO CNS classification identifies four subtypes of pHGGs, including Grade 4 Diffuse midline glioma H3K27-altered, Grade 4 Diffuse hemispheric gliomas H3-G34-mutant, Grade 4 pediatric-type high-grade glioma H3-wildtype and IDH-wildtype, and infant-type hemispheric gliomas. In recent years, we have

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Luhovskyi, Serhii P., and Tetiana Y. Kvitnytska-Ryzhova. "Age-related aspects of glioma: current understanding. Literature review." Ukrainian Neurosurgical Journal 30, no. 4 (2024): 11–22. https://doi.org/10.25305/unj.310442.

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The updated 2021 WHO Classification of Central Nervous System (CNS) Tumors introduces, for the first time, an age-based approach to glioma classification, leveraging advances in molecular biology and epigenetics of CNS tumors. This classification groups gliomas within the category "Gliomas, glioneuronal tumors, and neuronal tumors," distinguishing between adult-type and pediatric-type diffuse gliomas, corresponding to low-grade and high-grade malignancies (LGG and HGG), highlighting the fundamental role of age in gliomagenesis. A review of current literature deepens the understanding of age-re

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Gisina, Alisa, Irina Kholodenko, Yan Kim, Maxim Abakumov, Alexey Lupatov, and Konstantin Yarygin. "Glioma Stem Cells: Novel Data Obtained by Single-Cell Sequencing." International Journal of Molecular Sciences 23, no. 22 (2022): 14224. http://dx.doi.org/10.3390/ijms232214224.

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Glioma is the most common type of primary CNS tumor, composed of cells that resemble normal glial cells. Recent genetic studies have provided insight into the inter-tumoral heterogeneity of gliomas, resulting in the updated 2021 WHO classification of gliomas. Thorough understanding of inter-tumoral heterogeneity has already improved the prognosis and treatment outcomes of some types of gliomas. Currently, the challenge for researchers is to study the intratumoral cell heterogeneity of newly defined glioma subtypes. Cancer stem cells (CSCs) present in gliomas and many other tumors are an exampl

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Mohamed, Ali Ahmed, Rakan Alshaibi, Steven Faragalla, Youssef Mohamed, and Brandon Lucke-Wold. "Updates on management of gliomas in the molecular age." World Journal of Clinical Oncology 15, no. 2 (2024): 178–94. http://dx.doi.org/10.5306/wjco.v15.i2.178.

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Gliomas are primary brain tumors derived from glial cells of the central nervous system, afflicting both adults and children with distinct characteristics and therapeutic challenges. Recent developments have ushered in novel clinical and molecular prognostic factors, reshaping treatment paradigms based on classification and grading, determined by histological attributes and cellular lineage. This review article delves into the diverse treatment modalities tailored to the specific grades and molecular classifications of gliomas that are currently being discussed and used clinically in the year

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Tran, Paul Minh Huy, Lynn Kim Hoang Tran, Khaled bin Satter, et al. "Retrospective Validation of a 168-Gene Expression Signature for Glioma Classification on a Single Molecule Counting Platform." Cancers 13, no. 3 (2021): 439. http://dx.doi.org/10.3390/cancers13030439.

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Gene expression profiling has been shown to be comparable to other molecular methods for glioma classification. We sought to validate a gene-expression based glioma classification method. Formalin-fixed paraffin embedded tissue and flash frozen tissue collected at the Augusta University (AU) Pathology Department between 2000–2019 were identified and 2 mm cores were taken. The RNA was extracted from these cores after deparaffinization and bead homogenization. One hundred sixty-eight genes were evaluated in the RNA samples on the nCounter instrument. Forty-eight gliomas were classified using a s

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Arcella, Antonietta, Fiona Limanaqi, Rosangela Ferese, et al. "Dissecting Molecular Features of Gliomas: Genetic Loci and Validated Biomarkers." International Journal of Molecular Sciences 21, no. 2 (2020): 685. http://dx.doi.org/10.3390/ijms21020685.

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Recently, several studies focused on the genetics of gliomas. This allowed identifying several germline loci that contribute to individual risk for tumor development, as well as various somatic mutations that are key for disease classification. Unfortunately, none of the germline loci clearly confers increased risk per se. Contrariwise, somatic mutations identified within the glioma tissue define tumor genotype, thus representing valid diagnostic and prognostic markers. Thus, genetic features can be used in glioma classification and guided therapy. Such copious genomic variabilities are screen

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Pitarch, Carla, Vicent Ribas, and Alfredo Vellido. "AI-Based Glioma Grading for a Trustworthy Diagnosis: An Analytical Pipeline for Improved Reliability." Cancers 15, no. 13 (2023): 3369. http://dx.doi.org/10.3390/cancers15133369.

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Glioma is the most common type of tumor in humans originating in the brain. According to the World Health Organization, gliomas can be graded on a four-stage scale, ranging from the most benign to the most malignant. The grading of these tumors from image information is a far from trivial task for radiologists and one in which they could be assisted by machine-learning-based decision support. However, the machine learning analytical pipeline is also fraught with perils stemming from different sources, such as inadvertent data leakage, adequacy of 2D image sampling, or classifier assessment bia

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Wang, Yongheng, Yinyan Wang, Xing Fan, et al. "Putamen involvement and survival outcomes in patients with insular low-grade gliomas." Journal of Neurosurgery 126, no. 6 (2016): 1788–94. http://dx.doi.org/10.3171/2016.5.jns1685.

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OBJECTIVEInsular glioma has a unique origin and biological behavior; however, the associations between its anatomical features and prognosis have not been well established. The object of this study was to propose a classification system of insular low-grade gliomas based on preoperative MRI findings and to assess the system's association with survival outcome.METHODSA total of 211 consecutively collected patients diagnosed with low-grade insular gliomas was analyzed. All patients were classified according to whether tumor involved the putamen on MR images. The prognostic role of this novel put

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Chouleur, T., C. Etchegaray, L. Villain, O. Saut, and A. Bikfalvi. "P10.04.A A STRATEGY FOR MULTIMODAL INTEGRATION OF TRANSCRIPTOMICS, PROTEOMICS, AND RADIOMICS DATA FOR THE PREDICTION OF RECURRENCE IN PATIENTS WITH IDH-MUTANT GLIOMAS." Neuro-Oncology 26, Supplement_5 (2024): v55. http://dx.doi.org/10.1093/neuonc/noae144.180.

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Abstract BACKGROUND Isocitrate dehydrogenase-mutant gliomas are lethal brain cancers that impair quality of life in young adults. Although less aggressive than glioblastomas, IDH-mutant gliomas invariably progress to incurable disease with unpredictable recurrence. A better classification of patient risk of recurrence is needed. MATERIAL AND METHODS We describe a multimodal analytical pipeline integrating imaging, transcriptomic, and proteomic profiles using machine learning. RESULTS 1) description of the biological characteristics of IDH-mutant glioma subtypes categorized by positron emission

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Skvortsova, T. Yu, Zh I. Savintseva, A. F. Gurchin, and A. I. Kholyavin. "Can the metabolic characteristics of diffuse glioma on <sup>11</sup>C-methionine PET/CT serve as a marker of its IDH status? Cross sectional study." Diagnostic radiology and radiotherapy 15, no. 1 (2024): 35–45. http://dx.doi.org/10.22328/2079-5343-2024-15-1-35-45.

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INTRODUCTION: Since 2016, molecular markers, in particular, mutations in isocitrate dehydrogenase (IDH) 1 and 2, have been introduced as a classifying feature of cerebral gliomas that provided superior prognostication. The search for non-invasive biomarkers of the molecular profile of gliomas is necessary to improve the quality of preoperative diagnostics, identify patients with good and poor prognosis and determine treatment tactics.OBJECTIVE: Was to study the relationship between the IDH genotype of diffuse cerebral gliomas and metabolic biomarkers according to the results of PET/CT with [11

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Fernandes, Renata Tarraf, Gustavo Ramos Teixeira, Esther Cecin Mamere, Gabriela Alencar Bandeira, and Augusto Elias Mamere. "The 2021 World Health Organization classification of gliomas: an imaging approach." Radiologia Brasileira 56, no. 3 (2023): 157–61. http://dx.doi.org/10.1590/0100-3984.2022.0089-en.

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Abstract The purpose of this pictorial essay is to describe the recommendations of the 2021 World Health Organization classification for adult-type and pediatric-type gliomas and to discuss the main modifications in relation to the previous (2016) classification, exemplified by imaging, histological, and molecular findings in nine patients followed at our institutions. In recent years, molecular biomarkers have gained importance in the diagnosis and classification of gliomas, mainly because they have been shown to correlate with the biological behavior and prognosis of such tumors. It is impor

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Jo, Jasmin, Mark Mondia, Josephine Arewa, et al. "PATH-07. CLINICAL AND RADIOGRAPHIC FEATURES OF DIFFUSE GLIOMA MOLECULAR SUBTYPES IN ACCORDANCE WITH THE 2021 CNS5 WHO CLASSIFICATION." Neuro-Oncology 26, Supplement_8 (2024): viii179. http://dx.doi.org/10.1093/neuonc/noae165.0706.

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Abstract BACKGROUND The incorporation of molecular parameters into WHO CNS5 has led to reclassification of many gliomas. We undertook to describe presenting clinical and radiographic features of diffuse adult gliomas according to CNS5 category. METHODS We reviewed pathology reports, clinical and MRI data at presentation of 972 adult patients with glioma diagnosed between 1/2010-2/2022. Continuous variables were presented as median; categorical variables as numbers and percentages, and comparison were performed using chi-square test. RESULTS 736 patients had sufficient data for CNS5 re-classifi

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Zhang, Lu, Sabrina Fritah, Petr V. Nazarov, Tony Kaoma, and Eric Van Dyck. "Impact of IDH Mutations, the 1p/19q Co-Deletion and the G-CIMP Status on Alternative Splicing in Diffuse Gliomas." International Journal of Molecular Sciences 24, no. 12 (2023): 9825. http://dx.doi.org/10.3390/ijms24129825.

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By generating protein diversity, alternative splicing provides an important oncogenic pathway. Isocitrate dehydrogenase (IDH) 1 and 2 mutations and 1p/19q co-deletion have become crucial for the novel molecular classification of diffuse gliomas, which also incorporates DNA methylation profiling. In this study, we have carried out a bioinformatics analysis to examine the impact of the IDH mutation, as well as the 1p/19q co-deletion and the glioma CpG island methylator phenotype (G-CIMP) status on alternative splicing in a cohort of 662 diffuse gliomas from The Cancer Genome Atlas (TCGA). We ide

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Chen, Daiwen, Ziqian Chen, Shanwen Xu, and Hui Li. "Classification of Benign and Malignant Features of Glioma and Prediction of Early Metastasis and Recurrence Based on Enhanced MRI Imaging." Scientific Programming 2022 (March 4, 2022): 1–8. http://dx.doi.org/10.1155/2022/1955512.

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This work was aimed to establish a feature model for glioma grading and early metastasis and recurrence risk prediction based on contrast-enhanced magnetic resonance imaging (MRI). A total of 145 patients diagnosed with glioma by pathological examination were selected as the research subjects (training cohort: nasty 80; validation cohort: nasty 65). The imaging parameters T1-weighted (CET1WI), axial T2-weighted (T2WI), and apparent diffusion coefficient (ADC) were selected for the extraction of size and shape, intensity, histogram, and texture features. Image dimensionality reduction, feature

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Saluja, Sonam, Munesh Chandra Trivedi, and Shiv S. Sarangdevot. "Advancing glioma diagnosis: Integrating custom U-Net and VGG-16 for improved grading in MR imaging." Mathematical Biosciences and Engineering 21, no. 3 (2024): 4328–50. http://dx.doi.org/10.3934/mbe.2024191.

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<abstract> <p>In the realm of medical imaging, the precise segmentation and classification of gliomas represent fundamental challenges with profound clinical implications. Leveraging the BraTS 2018 dataset as a standard benchmark, this study delves into the potential of advanced deep learning models for addressing these challenges. We propose a novel approach that integrates a customized U-Net for segmentation and VGG-16 for classification. The U-Net, with its tailored encoder-decoder pathways, accurately identifies glioma regions, thus improving tumor localization. The fine-tuned

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Romi, Fadillah Rahmat, Faris Pratama Mhd, Purnamawati Sarah, et al. "Astrocytoma, ependymoma, and oligodendroglioma classification with deep convolutional neural network." International Journal of Artificial Intelligence (IJ-AI) 11, no. 4 (2022): 1306–13. https://doi.org/10.11591/ijai.v11.i4.pp1306-1313.

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Glioma as one of the most common types of brain tumor in the world has three different classes based on its cell types. They are astrocytoma, ependymoma, oligodendroglioma, each has different characteristics depending on the location and malignance level. Radiological examination by medical personnel is still carried out manually using magnetic resonance imaging (MRI) medical imaging. Brain structure, size, and various forms of tumors increase the level of difficulty in classifying gliomas. It is advisable to apply a method that can conduct gliomas classification through medical images. The pr

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de la Fuente, Macarena I. "Adult-type Diffuse Gliomas." CONTINUUM: Lifelong Learning in Neurology 29, no. 6 (2023): 1662–79. http://dx.doi.org/10.1212/con.0000000000001352.

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ABSTRACT OBJECTIVE This article highlights key aspects of the diagnosis and management of adult-type diffuse gliomas, including glioblastomas and IDH-mutant gliomas relevant to the daily practice of the general neurologist. LATEST DEVELOPMENTS The advances in molecular characterization of gliomas have translated into more accurate prognostication and tumor classification. Gliomas previously categorized by histological appearance solely as astrocytomas or oligodendrogliomas are now also defined by molecular features. Furthermore, ongoing clinical trials have incorporated these advances to tailo

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Takei, H., J. Shinoda, S. Ikuta, et al. "P14.01 Differential diagnosis of IDH mutant/IDH wildtype of glioma by using 11C-methionine, 11C-choline, and18F-fluorodeoxyglucose positron emission tomography." Neuro-Oncology 21, Supplement_3 (2019): iii66. http://dx.doi.org/10.1093/neuonc/noz126.237.

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Abstract BACKGROUND Positron emission tomography (PET) is important in noninvasive diagnostic imaging of gliomas. There are many PET studies on glioma diagnosis based on the 2007 World Health Organization (WHO) classification; however, there are no studies on glioma diagnosis using the new classification (the 2016 WHO classification).Here we investigated the relationship between PET imaging using 11C-methionine (MET), 11C-choline (CHO), and 18F-fluorodeoxyglucose (FDG) and wildtype isocitrate dehydrogenase (IDH) (IDH-wt)/mutant IDH (IDH-mut) in astrocytic and oligodendroglial tumors according

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Hölzl, Dorothee, Georg Hutarew, Barbara Zellinger, et al. "EGFR Amplification Is a Phenomenon of IDH Wildtype and TERT Mutated High-Grade Glioma: An Integrated Analysis Using Fluorescence In Situ Hybridization and DNA Methylome Profiling." Biomedicines 10, no. 4 (2022): 794. http://dx.doi.org/10.3390/biomedicines10040794.

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Gliomas are the most common intrinsic brain tumors in adults, and in accordance with their clinical behavior and patients’ outcome, they are graded by the World Health Organization (WHO) classification of brain tumors. One very interesting candidate for targeted tumor therapy may be epidermal growth factor receptor (EGFR) amplification. Here, we performed an integrated comparative analysis of EGFR amplification in 34 glioma samples using standard fluorescence in situ hybridization (FISH) and Illumina EPIC Infinium Methylation Bead Chip and correlated results with molecular glioma hallmarks. We

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Cheng, Chuandong, Ying Ji, Tiantian Han, et al. "MAPK pathway alteration may be a new integrated diagnosis term." Journal of Clinical Oncology 39, no. 15_suppl (2021): e14022-e14022. http://dx.doi.org/10.1200/jco.2021.39.15_suppl.e14022.

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e14022 Background: The 2016 CNS WHO classification is the first to include molecular factors to classify in glioma. We are in the age of glioma subgroups, in which the category depended on the histological and molecular composition, providing more clinical behavior, prognosis, and therapeutic targets hints. The most well-known molecular modifications are IDH1/2 mutation, ATRX variant, TP53 variant, BRAF mutation or fusion, 1p/19q co-deletions. However, there is a diagnostic term“NOS” in the 2016 CNS WHO classification，which indicates that a tumor could not be placed into a more specific WHO ca

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Rahmat, Romi Fadillah, Mhd Faris Pratama, Sarah Purnamawati, et al. "Astrocytoma, ependymoma, and oligodendroglioma classification with deep convolutional neural network." IAES International Journal of Artificial Intelligence (IJ-AI) 11, no. 4 (2022): 1306. http://dx.doi.org/10.11591/ijai.v11.i4.pp1306-1313.

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Glioma as one of the most common types of brain tumor in the world has three different classes based on its cell types. They are astrocytoma, ependymoma, oligodendroglioma, each has different characteristics depending on the location and malignance level. Radiological examination by medical personnel is still carried out manually using magnetic resonance imaging (MRI) medical imaging. Brain structure, size, and various forms of tumors increase the level of difficulty in classifying gliomas. It is advisable to apply a method that can conduct gliomas classification through medical images. The pr

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Vallée, Alexandre, Yves Lecarpentier та Jean-Noël Vallée. "Opposed Interplay between IDH1 Mutations and the WNT/β-Catenin Pathway: Added Information for Glioma Classification". Biomedicines 9, № 6 (2021): 619. http://dx.doi.org/10.3390/biomedicines9060619.

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Gliomas are the main common primary intraparenchymal brain tumor in the central nervous system (CNS), with approximately 7% of the death caused by cancers. In the WHO 2016 classification, molecular dysregulations are part of the definition of particular brain tumor entities for the first time. Nevertheless, the underlying molecular mechanisms remain unclear. Several studies have shown that 75% to 80% of secondary glioblastoma (GBM) showed IDH1 mutations, whereas only 5% of primary GBM have IDH1 mutations. IDH1 mutations lead to better overall survival in gliomas patients. IDH1 mutations are as

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Brito, C., A. Azevedo, S. Esteves, et al. "P03.13 Evaluation of PIK3CA mutational status in glioma molecular subgroups." Neuro-Oncology 21, Supplement_3 (2019): iii27—iii28. http://dx.doi.org/10.1093/neuonc/noz126.094.

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Abstract BACKGROUND Gliomas are the most common and lethal malignant tumors of central nervous system. In 2016, World Health Organization (WHO) classification included IDH mutations and 1p/19q codeletion as diagnostic criteria to define glioma entities. However, new biomarkers for diagnosis, prognosis and response to therapy are needed. In this context, PIK3CA mutations have been described as constitutive mutations, which highlights their relevance in gliomas. Here we clarified the clinical relevance of PIK3CA mutations according to the 2016 WHO classification, the potential impact on diagnosi

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Nguyen, Anthony V., Jose M. Soto, Sarah-Marie Gonzalez, et al. "H3G34-Mutant Gliomas—A Review of Molecular Pathogenesis and Therapeutic Options." Biomedicines 11, no. 7 (2023): 2002. http://dx.doi.org/10.3390/biomedicines11072002.

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The 2021 World Health Organization Classification of Tumors of the Central Nervous System reflected advances in understanding of the roles of oncohistones in gliomagenesis with the introduction of the H3.3-G34R/V mutant glioma to the already recognized H3-K27M altered glioma, which represent the diagnoses of pediatric-type diffuse hemispheric glioma and diffuse midline glioma, respectively. Despite advances in research regarding these disease entities, the prognosis remains poor. While many studies and clinical trials focus on H3-K27M-altered-glioma patients, those with H3.3-G34R/V mutant glio

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Gargini, Ricardo, Berta Segura-Collar, and Pilar Sánchez-Gómez. "Cellular Plasticity and Tumor Microenvironment in Gliomas: The Struggle to Hit a Moving Target." Cancers 12, no. 6 (2020): 1622. http://dx.doi.org/10.3390/cancers12061622.

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Brain tumors encompass a diverse group of neoplasias arising from different cell lineages. Tumors of glial origin have been the subject of intense research because of their rapid and fatal progression. From a clinical point of view, complete surgical resection of gliomas is highly difficult. Moreover, the remaining tumor cells are resistant to traditional therapies such as radio- or chemotherapy and tumors always recur. Here we have revised the new genetic and epigenetic classification of gliomas and the description of the different transcriptional subtypes. In order to understand the progress

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Ogawa, Tomoya, Keisuke Miyake, Takeshi Fujimori, et al. "NI-15 THE USEFULNESS OF PET IMAGING IN MOLECULAR DIAGNOSIS OF GLIOMA." Neuro-Oncology Advances 1, Supplement_2 (2019): ii28. http://dx.doi.org/10.1093/noajnl/vdz039.127.

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Abstract OBJECTIVE After WHO 2016 Classification of Tumors of the Central Nervous System have published, molecular diagnosis became part of the diagnostic criteria. In this study, we investigated the correlation between PET images and molecular diagnosis of glioma. METHODS We performed retrospective review of newly diagnosed supratentorial glioma patients who preoperatively underwent all four PET examinations (18F-FDG, 11C-MET, 18F-FLT and 18F-FMISO) from April 2009 to March 2019. The standardized uptake value (SUV) from the accumulation of each PET tracers, TNR (tumor to contralateral normal

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Hadad, Sara, Gayathri Warrier, Lucie Mccoy, et al. "EPID-02. BLOOD-BASED CLASSIFICATION OF IDH-STATUS OF NON-ENHANCING GLIOMAS: A MACHINE LEARNING APPROACH." Neuro-Oncology 26, Supplement_8 (2024): viii137—viii138. http://dx.doi.org/10.1093/neuonc/noae165.0538.

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Abstract BACKGROUND Non-invasive determination of IDH mutational status in patients with glioma could offer significant therapeutic opportunities. While IDH wildtype (WT) tumors typically show enhancement on MRI, IDH mutant (MUT) tumors often lack this enhancement. However, relying solely on anatomic radiology may lead to misclassification, and currently, tissue acquisition is the primary method for assessing IDH-status in gliomas. These limitations hamper the development of neoadjuvant or intraoperative therapeutic strategies based on IDH-status; thus, more minimally invasive methods to deter

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Hadad, S., G. Warrier, L. McCoy, et al. "P10.09.A BLOOD-BASED CLASSIFICATION OF IDH-STATUS OF NON-ENHANCING GLIOMAS: A MACHINE LEARNING APPROACH." Neuro-Oncology 26, Supplement_5 (2024): v56—v57. http://dx.doi.org/10.1093/neuonc/noae144.185.

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Abstract BACKGROUND Non-invasive determination of IDH mutational status in patients with glioma could offer significant therapeutic opportunities. While IDH wildtype tumors (e.g., GBM) typically show enhancement on MRI, IDH mutant tumors often lack this enhancement. However, relying solely on anatomic radiology may lead to misclassification, and currently, tissue acquisition is the primary method for assessing IDH status in gliomas. This limitation hampers the development of neoadjuvant or intraoperative therapeutic strategies based on IDH status; thus, more minimally invasive methods to deter

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Wang, Lei, Zhengtao Yu, Shaiqi Sun, et al. "Long non-coding RNAs: potential molecular biomarkers for gliomas diagnosis and prognosis." Reviews in the Neurosciences 28, no. 4 (2017): 375–80. http://dx.doi.org/10.1515/revneuro-2016-0066.

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AbstractThe current grade classification system of gliomas is based on the histopathological features of these tumors and has great significance in defining groups of patients for clinical assessment. However, this classification system is also associated with a number of limitations, and as such, additional clinical assessment criteria are required. Long non-coding RNAs (lncRNAs) play a critical role in cellular functions and are currently regarded as potential biomarkers for glioma diagnosis and prognosis. Therefore, the molecular classification of glioma based on lncRNA expression may provi

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Alejandro, Arias Mendoza, Aldonza Rios López Giovanna, Montserrat Ballesteros Solís Gladys, Cruz Islas Gabriela, Antonio Soto Sánchez José, and Yoana Cervantes Ramírez Laura. "Astrocytoma, Diagnosis and Treatment. Literature Review." International Journal Of Medical Science And Clinical Research Studies 03, no. 01 (2023): 16–21. https://doi.org/10.5281/zenodo.7512265.

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Most primary CNS tumors are astrocytic tumors. Glial tumors are classified according to histological criteria. The WHO classification for primary malignant gliomas in adults includes grades II through IV. Terms for tumors that classify in grade II are astrocytomas (A), oligodendrogliomas (ODG), or mixed gliomas (GM). Grade III tumors are named similarly, and preceded by the word anaplastic, for example, anaplastic astrocytoma (AA), anaplastic oligodendroglioma (ODGA), or mixed anaplastic glioma (GAM). The most malignant form, the grade IV tumor, is designated glioblastoma or GBM. GBMs are diag

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Wang, Daoying, Haiyang Li, and Jingjing Niu. "Study on the Diagnostic Value of Magnetic Resonance Imaging in Patients with Malignant Glioma." Journal of Medical Imaging and Health Informatics 11, no. 1 (2021): 186–91. http://dx.doi.org/10.1166/jmihi.2021.3442.

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Objective: To explore the value of multi-voxel-based monomer 1H-MRS (magnetic resonance imaging) in the classification of gliomas. Methods: 26 gliomas confirmed by surgery and pathology were examined by conventional MRI, multi-voxel 2D, and monomer 1H-MRS before surgery. Three types of regions of interest (ROI) were used to measure Cho/NAA (Choline hydroxide solution/N-acetyl aspartic acid) values in the tumor. Methods: In the multi-voxel 2D hydrogen proton spectrum, the solid part of the tumor or the most intensive region of the tumor was selected to determine the Cho/NAA value. At the same t

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Choi, Seonah, In-Ho Jung, Jaejoon Lim, et al. "PATH-06. SURVIVAL ANALYSIS FOR ADULT MIDLINE GLIOMA: DO ADULT MIDLINE GLIOMAS WITH THE H3 K27M MUTATION REALLY HAVE POOR PROGNOSIS?" Neuro-Oncology 24, Supplement_7 (2022): vii150—vii151. http://dx.doi.org/10.1093/neuonc/noac209.579.

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Abstract PURPOSE Since it is known that midline located glioma with H3K27 mutation in children has a disastrous prognosis, in 2016 WHO classification, these tumors were defined as diffuse midline glioma (DMG) and classified as grade IV. A lot of papers about pediatric DMG have been published, but there are not many papers about adult DMG. In this study, we aimed to identify factors affecting the prognosis of adult midline glioma. This is the first paper to study the prognosis of adult DMG according to histological grade and is the largest study to investigate the survival of adult DMG. METHODS

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Takei, Hiroaki, Jun Shinoda, Soko Ikuta, et al. "Usefulness of positron emission tomography for differentiating gliomas according to the 2016 World Health Organization classification of tumors of the central nervous system." Journal of Neurosurgery 133, no. 4 (2020): 1010–19. http://dx.doi.org/10.3171/2019.5.jns19780.

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OBJECTIVEPositron emission tomography (PET) is important in the noninvasive diagnostic imaging of gliomas. There are many PET studies on glioma diagnosis based on the 2007 WHO classification; however, there are no studies on glioma diagnosis using the new classification (the 2016 WHO classification). Here, the authors investigated the relationship between uptake of 11C-methionine (MET), 11C-choline (CHO), and 18F-fluorodeoxyglucose (FDG) on PET imaging and isocitrate dehydrogenase (IDH) status (wild-type [IDH-wt] or mutant [IDH-mut]) in astrocytic and oligodendroglial tumors according to the 2

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Debreczeni-Máté, Zsanett, Omar Freihat, Imre Törő, Mihály Simon, Árpád Kovács, and David Sipos. "Value of 11C-Methionine PET Imaging in High-Grade Gliomas: A Narrative Review." Cancers 16, no. 18 (2024): 3200. http://dx.doi.org/10.3390/cancers16183200.

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11C-Methionine (MET) is a widely utilized amino acid tracer in positron emission tomography (PET) imaging of primary brain tumors. 11C-MET PET offers valuable insights for tumor classification, facilitates treatment planning, and aids in monitoring therapeutic response. Its tracer properties allow better delineation of the active tumor volume, even in regions that show no contrast enhancement on conventional magnetic resonance imaging (MRI). This review focuses on the role of MET-PET in brain glioma imaging. The introduction provides a brief clinical overview of the problems of high-grade and

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Fritah, S., A. Cano-Galiano, R. Toth, et al. "P02.18.B INTEGRATIVE OMICS ANALYSIS OF IDH1 MUTANT GLIOMA PATIENTS REVEALS ALTERATIONS IN BUTYRATE METABOLISM." Neuro-Oncology 25, Supplement_2 (2023): ii33—ii34. http://dx.doi.org/10.1093/neuonc/noad137.103.

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Abstract BACKGROUND Mutations in isocitrate dehydrogenase (IDH) 1 or 2 define glioma classification and determine the biology of these tumors. Although IDH is an essential enzyme in the cellular metabolism, powerful genome-wide analyses focus mostly at the genetic and epigenetic levels, while differences between distinct glioma entities at the proteomics, metabolomics, and functional levels are still poorly understood. Here, we provide an integrative multi-omics analysis of glioma patients to reveal metabolomic vulnerabilities of gliomas stratified by IDH mutation. MATERIAL AND METHODS We perf

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