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
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