Glioma: interaction of acquired and germline genetics

Eckel‐Passow, Jeanette E.; Lachance, Daniel H.; Jenkins, Robert B.

doi:10.18632/aging.203428

Cited by 2 publications

(2 citation statements)

References 8 publications

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“…In 2016, the WHO classification included genomic analysis as a novel approach for newly diagnosed glioma patients. Therefore, an increasing number of studies [ 4 , 5 , 6 ] have attempted to identify genetic risk factors for brain cancer through genome-wide association study (GWAS) approaches in which single-nucleotide polymorphisms (SNPs) have been found to have associations with brain malignancy, especially in malignant glioma [ 7 , 8 ]. An SNP is a variation at a single base pair among individuals, which may indicate a risk locus.…”

Section: Introductionmentioning

confidence: 99%

Genome-Wide Association Study Identifies Multiple Susceptibility Loci for Malignant Neoplasms of the Brain in Taiwan

Lin

Yang

et al. 2022

JPM

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Primary brain malignancy is a rare tumor with a global incidence of less than 10 per 100,000 people. Hence, there is limited power for identifying risk loci in individual studies, especially for Han Chinese. We performed a genome-wide association study (GWAS) in Taiwan, including 195 cases and 195 controls. We identified five new genes for malignant neoplasms of the brain: EDARADD (rs645507, 1p31.3, p = 7.71 × 10−5, odds ratio (OR) = 1.893), RBFOX1 (rs8044700, p = 2.35 × 10−5, OR = 2.36), LMF1 (rs3751667, p = 7.24 × 10−7, OR = 2.17), DPP6 (rs67433368, p = 8.32 × 10−5, OR = 3.94), and NDUFB9 (rs7827791, p = 9.73 × 10−6, OR = 4.42). These data support that genetic susceptibility toward GBM or non-GBM tumors is highly distinct, likely reflecting different etiologies. Combined with signaling analysis, we found that RNA modification may be related to major risk factors in primary malignant neoplasms of the brain.

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Section: Introductionmentioning

confidence: 99%

Genome-Wide Association Study Identifies Multiple Susceptibility Loci for Malignant Neoplasms of the Brain in Taiwan

Lin

Yang

et al. 2022

JPM

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“…Gliomas are classified based on histopathological distribution into low-grade (LGG) and high-grade (HGG) gliomas. LGGs are generally well differentiated, while HGGs are characterized by low differentiation and the resulting worse prognosis [2]. However, recent studies emphasize the limitations of traditional histopathological classification that highlight the significant heterogenicity of gliomas.…”

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confidence: 99%

Modern Imaging Techniques in the Assessment of Malignancy in Glial Brain Tumors: Literature Review

Toleshbaev,

Ainakulova,

Zhakenova

et al. 2024

Onkol. radiol. Kaz.

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Relevance: Gliomas represent a major group of primary central nervous system tumors, accounting for approximately 80% of all malignant brain neoplasms. Recent advances in molecular diagnostics, including the identification of mutations in the isocitrate dehydrogenase (IDH) gene, offer new opportunities to improve the classification of gliomas and to understand the mechanisms of their development. IDH mutations, which are found in a large proportion of gliomas, are associated with a better prognosis and represent an important biomarker for the development of targeted therapeutic strategies. Diagnostic techniques, particularly magnetic resonance imaging (MRI), also play an important role, providing additional ways to assess the morphological and biological characteristics of gliomas, contributing to a more accurate determination of tumor malignancy and molecular profile, which is key to treatment decisions. The study aimed to To study the possibilities of magnetic resonance imaging in assessing the degree of malignancy of glial brain tumors. Methods: A literature review was performed using the keywords: glioma, IDH mutation, IDH wild-type, MRI, magnetic resonance spectroscopy (MRS), apparent diffusion coefficient (ADC), diffusion-weighted imaging (DWI), diffusion tensor imaging (DTI), diffusion kurtosis image (DKI), Susceptibility Weighted Imaging (SWI) in PubMed, BMC Medicine, and Google Scholar databases. The review includes the results of an analysis of 45 literature reviews on the diagnostic capabilities of molecular diagnostics and MRI to assess the malignancy of gliomas. Results: This review highlights the importance of current approaches to the diagnosis of gliomas, demonstrating that different grades of malignancy and IDH mutation status are associated with unique features on MR imaging, including differences in localization, signal, and enhancement patterns. DTI and DWI extend the ability of MRI to assess tissue microstructure, allowing for more precise tumor characterization. Studies combining MRI morphologic features, ADC and DTI parameters offer a non-invasive approach to glioma prognosis, highlighting the importance of integrated use of imaging modalities to improve diagnosis and therapy. Conclusion: The use of magnetic resonance imaging allows for more accurate morphologic and metabolic characterization of gliomas in assessing the degree of malignancy, allowing physicians to make more accurate prognostic assessments and select the most appropriate treatment strategy.

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Glioma: interaction of acquired and germline genetics

Cited by 2 publications

References 8 publications

Genome-Wide Association Study Identifies Multiple Susceptibility Loci for Malignant Neoplasms of the Brain in Taiwan

Genome-Wide Association Study Identifies Multiple Susceptibility Loci for Malignant Neoplasms of the Brain in Taiwan

Modern Imaging Techniques in the Assessment of Malignancy in Glial Brain Tumors: Literature Review

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