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Abstract #3063

Radiomics Molecular Mechanism and Candidate Prognostic Biomarker Investigation for Glioblastoma Multiforme Utilizing WGCNA

Jixin Luan1, Jun Chen1, Hua Fan1, Di Zhang1, Peng Wu2, and Chuanchen Zhang1
1Department of Radiology, Liaocheng People's Hospital, Shandong First Medical University & Shandong Academy of Medical Sciences, Liaocheng, China, 2Philips Healthcare, Shanghai, China


In this study, we aimed to explore the deeper molecular mechanism of radiomics features, and uncover new GBM prognostic biomarker. We extracted radiomics features out of 57 patients with MRI data obtained from TCIA database and corresponding clinical and transcription information from TCGA database. WGCNA revealed that the radiomics features are correlated with numerous cancer-associated biological processes, including regulation of vasculature development and so on. HMGA2 as the hub gene was screened by Cytoscape software. There was significant difference in survival analysis between the high and low expression groups, indicating that HMGA2 may be a new prognostic biomarker for GBM.

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