| Literature DB >> 32229069 |
Wen Wang1, Junsheng Li1, Fa Lin1, Jia Guo2, Jizong Zhao3.
Abstract
Due to the varied overall survival (OS), limited studies focus on the factors that affect the prognosis for lower grade glioma patients (LGGs) with MGMT promoter methylated. A total of 579 samples (TCGA LGGs 456; CGGA LGGs 123) were included to identify potential genes for LGGs with MGMT promoter methylated. All bioinformatics analyses were conducted using SPSS software and GraphPad Prism 6. Based on COX regression analysis, we established a four-gene signature (ALDOC, APOBEC3C, ANXA1 and ARPP21) and divided LGGs into two groups based on median risk score. The OS of LGGs in high risk group was shorter than low risk group (P < 0.0001). Furthermore, the OS in high risk group were shorter than low risk group in Grade II and III, respectively (P = 0.0003; P = 0.0104). It showed that the signature was an independent prognosis factor on multivariate Cox regression analysis (P = 0.033). Patients in high group tended to displayed high grade (GIII), IDH1 wild type and mesenchymal subtype preference. Four-gene signature was discovered for LGGs with MGMT promoter methylated. Our findings suggested that the four genes could serve as prognostic biomarkers.Entities:
Keywords: Glioma; MGMT; Prognosis; RNA sequencing; Signature
Year: 2020 PMID: 32229069 DOI: 10.1016/j.jocn.2020.03.037
Source DB: PubMed Journal: J Clin Neurosci ISSN: 0967-5868 Impact factor: 1.961