Four specific biomarkers associated with the progression of glioblastoma multiforme in older adults identified using weighted gene co-expression network analysis. Issue 1 (1st January 2021)

• Record Type: Journal Article
• Authors: Yang, Yushi; Chu, Liangzhao; Zeng, Zhirui; Xu, Shu; Yang, Hua; Zhang, Xuelin; Jia, Jun; Long, Niya; Hu, Yaxin; Liu, Jian
• Is Part Of: Bioengineered. Volume 12:Issue 1(2021)
• Page Start: 6643
• Page End: 6654
• Publication Date: 2021-01-01
• Subjects: Glioblastoma -- elder -- biomarkers -- WGCNA; Biomedical engineering -- Periodicals; Biotechnology -- Periodicals; Microbiology -- Periodicals; 660.6
• DOI: 10.1080/21655979.2021.1975980
• Languages: English
• ISSNs: 2165-5987

Abstract

ABSTRACT: Glioblastoma multiforme (GBM) is the most common primary intracranial malignancy in adults. Owing to individual tolerance and tumor heterogeneity, the therapy methods for young adults do not apply to older adults. The present study aimed to identify specific biomarkers for GBM in older adults using weighted gene co-expression network analysis (WGCNA). Gene expression profiles of older adults with GBM were downloaded from The Cancer Genome Atlas (TCGA) and set as a discovery cohort to construct WGCNA. Core genes of clinically significant modules were used to perform functional enrichment, protein-protein interaction, and Pearson correlation analyses. Gene expression profiles of young in TCGA and older GBM patients from our research group were set as verification cohorts for hub gene expression and diagnostic value. Four significant gene modules associated clinically with older adults with GBM were identified, whereas 251 genes were core genes with module membership>0.8 and gene significance>0.2. Ermin ( ERMN ), myelin-associated oligodendrocyte basic protein ( MOBP ), proteolipid protein 1 ( PLP1 ), and oligodendrocytic myelin paranodal and inner loop protein ( OPALIN ) genes had significant relationships with the Karnofsky score (KPS) in older GBM patients. ERMN, MOBP, PLP1, and OPALIN had no relationship with KPS in young GBM patients. These genes were upregulated in GBM tissues from older patients with low but not high KPS and had high diagnostic value. In conclusion, ERMN, MOBP, PLP1, and OPALIN may serve as specific biomarkers for the progression of GBM in older adults.