Identification of an 8-miRNA signature as a potential prognostic biomarker for glioma

Abstract

Background Glioma is the most common form of primary malignant intracranial tumor. Methods In the current study, miRNA matrix were obtained from the Chinese Glioma Genome Atlas (CGGA), and then univariate Cox regression analysis and Lasso regression analysis were utilized to select candidate miRNAs and multivariate Cox regression analysis was applied to establish a miRNA signature for predicting overall survival (OS) of glioma. The signature was assessed with the area under the curve (AUC) of the receiver operating characteristic curve (ROC) and validated by data from Gene Expression Omnibus (GEO). Results Eight miRNAs (miR-1246, miR-148a, miR-150, miR-196a, miR-338-3p, miR-342-5p, miR-548h and miR-645) were included in the miRNA signature. The AUC of ROC analysis for 1- and 3-year OS in the CGGA dataset was 0.747 and 0.905, respectively. In the GEO dataset, The AUC for 1- and 3-year was 0.736 and 0.809, respectively. The AUC in both the CGGA and GEO datasets was similar to that based on WHO 2007 classification (0.736 and 0.799) and WHO 2016 classification (0.663 and 0.807). Additionally, Kaplan–Meier plot revealed that high-risk score patients had a poorer clinical outcome. Multivariate Cox regression analysis suggested that the miRNA signature was an independent prognosis-related factor [HR: 6.579, 95% CI [1.227−35.268], p = 0.028]. Conclusion On the whole, in the present study, based on eight miRNAs, a novel prognostic signature was developed for predicting the 1- and 3- year survival rate in glioma. The results may be conducive to predict the precise prognosis of glioma and to elucidate the underlying molecular mechanisms. However, further experimental researches of miRNAs are needed to validate the findings of this study.

Serum microRNAs targeting ACE2 and RAB14 genes distinguish asymptomatic from critical COVID-19 patients

“…51,52 Finally, as regards Rhas4, hsa-miR-1246 has been also described as a potential prognostic biomarker for glioma, being predicted as one of its target genes. 53 In addition to ACE2 and RAB14, another 2,810 target genes were predicted for our 4 miRNAs. Overall, our in silico analysis indicated that these miRNAs are much more than simple post-transcriptional regulators since, besides, they have been involved in several biological processes related to the pathogenesis of SARS-CoV-2.…”

Differential gene expression analysis and weighted gene co-expression network analysis reveal mechanism behind the development of duodenal carcinoma in familial adenomatous polyposis

“…Bene t from the rapid development of microarray and high-throughput sequencing technology, increasing potential biomarkers that contributed to disease progression have been identi ed (Ni et al, 2018;Zhou, Tang, Liu, An, & Zhang, 2017). Several large and free public transcriptome databases, including GEO, TCGA, and CGGA databases, provide valuable gene expression data for the identi cation of potential biomarkers that related to diagnosis, prognosis or phenotype, and the construction of genome-wide coexpression networks, and the study of molecular mechanisms of pathogenesis (Hu et al, 2019;Ji et al, 2020). The weighted gene co-expression network analysis (WGCNA) is widely used in disease and other traits and gene association analysis, as it has the capacity of clustering genes with similar expression patterns and analyzing the relationship between modules and speci c traits or phenotypes (Langfelder & Horvath, 2008).…”

Weighted miRNA co-expression network reveals potential roles of apoptosis related pathways and crucial genes in thoracic aortic aneurysm

“…Over the past decade, miRNAs have been accepted as potential diagnostic markers or prognostic biomarkers for diseases of different organs. For example, a recent study developed a novel prognostic signature that excellently predicted the 1-and 3-year survival rate of patients with glioma (45). Another study on pancreatic cancer established a risk score system using 7 miRNAs to predict overall survival and recurrencefree survival, which showed reliable performance with a high C-index (46).…”