Comparison of Low-Grade Gliomas Molecular Features and Survival by 1p/19q Codeletion in The Cancer Genome Atlas

Author:

Ma Jun1ORCID,Su Xi1,Tang Mingjun1,Sa Yu1,Huang Xian1,Zhang Ning1

Affiliation:

1. Tianjin University

Abstract

Abstract In patients with low-grade gliomas (LGG), the prognosis is significantly favorable in those with 1p/19q codeletion than in those with 1p/19q intact. Although 1p/19q codeletion has emerged as an accepted indicator for molecular typing of gliomas, numerous studies point to the need to further investigate the overall transcriptomic molecular changes associated with it. To explore the genome-wide effects of 1p/19q codeletion, we evaluated multiple omics profiles from The Cancer Genome Atlas LGG cohort. After systematic analysis, we identified a modest number of genomic features, including gene expression (n = 14), protein expression (n = 8), DNA methylation (n = 9), somatic mutation (n = 7) and copy number variation (n = 35). These features were highly corelated with 1p/19q codeletion status of patients. These features are then used to construct support vector machine classifiers and identify survival-related markers. It is helpful from this research to generate fresh insights into the alterations occurring behind the 1p/19q codeletion and to elucidate the mechanisms of LGG histological typing.

Publisher

Research Square Platform LLC

Reference32 articles.

1. The 2016 World Health Organization Classification of Tumors of the Central Nervous System: a summary;Louis DN;Acta Neuropathol,2016

2. An independently validated survival nomogram for lower-grade glioma;Gittleman H;Neurooncology,2020

3. [Single-cell transcriptome analysis of multigrade glioma heterogeneity and immune microenvironment revealed potential prognostic biomarkers]. Sheng wu gong cheng xue bao = Chinese;Liu J;J Biotechnol,2022

4. Establishment of three heterogeneous subtypes and a risk model of low-grade gliomas based on cell senescence-related genes;Chen J;Front Immunol,2022

5. Analysis of Clinical Characteristics and Risk Factors of Postoperative Recurrence and Malignant Transformation of Low-Grade Glioma;Luo C;J Oncol,2022

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