Integrative analysis of somatic mutations and differential expression profiles in glioblastoma based on aging acceleration

xlomafota13 shared this article with you from Inoreader Integrative analysis of somatic mutations and differential expression profiles in glioblastoma based on aging acceleration Via International Journal of Clinical and Experimental Pathology Int J Clin Exp Pathol. 2021 May 15;14(5):582-595. eCollection 2021. ABSTRACT BACKGROUND: Glioblastoma (GBM) is an aggressive brain tumor and the mechanisms of progression are very complex. Accelerated aging is a driving factor of GBM. However, there has not been thorough research about the mechanisms of GBM progression based on aging acceleration. METHODS: The aging predictor was modeled based on normal brain samples. Then an aging acceleration background network was constructed to explore GBM mechanisms. RESULTS: The accelerated aging-related mechanisms provided an innovative way to study GBM, wherein integrative analysis of somatic mutations and differential expression revealed key pathologic characteristics. Moreover, the influence of the immune system, the nervous system and other critical factors on GBM were identified. The survival analysis also disclosed crucial GBM markers. CONCLUSION: An integrative analysis of multi-omics data based on aging acceleration identified new driving factors for GBM. PMID:34093944 | PMC:PMC8167488 View on the web Inoreader. Take back control of your news feed. Follow us on Twitter and Facebook.