Integrative analysis of somatic mutations and differential expression profiles in glioblastoma based on aging acceleration.
Year: 2021
Type: article
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.
Source: PubMed Central
Authors: Huize Wang, Shiyan Li, Hongxin Liu, Shiyu Bian, Wanjiang Huang, Chengzhong Xing, Yin Wang
Language: English
Subfield: Oncology
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W3173136455