Abstract
BACKGROUND: Mitochondrial transcription elongation factor (TEFM) is a key molecule for mitochondrial DNA (mtDNA) replication-transcription switch. TEFM regulates both transcription elongation and RNA processing in mitochondria. However, the expression level and prognostic value of TEFM in low grade glioma (LGG) remain unclear. Therefore, in this study, we aimed to evaluate the clinical significance and the prognostic value of TEFM in LGG based on publicly available data. METHODS: The relative mRNA expression level of TEFM in non-tumor brain tissues and LGG tissues were retrieved from Gene Expression Profiling Interactive Analysis (GEPIA). The RNA-Seq expression of TEFM and clinical information in LGG patients were collected from the updated the Cancer Genome Atlas (TCGA) database by using R3.6.1 software. Next, the relationship between the mRNA expression of TEFM and clinicopathological characteristics were analyzed. Kaplan-Meier survival curves of overall survival (OS) and disease-free survival (DFS) were implemented for the relationship between the mRNA expression of TEFM and the prognosis of LGG patients. A Cox regression model was performed for the multivariate analysis of the factors affected the prognosis of LGG patients. GEPIA online tool was used to analyze the correlation between TEFM gene expression level and other related mitochondrial regulatory genes in LGG. Finally, The Gene Set Enrichment Analysis (GSEA) was performed to identify cell processes and molecular signaling cascades affected by TEFM. RESULTS: GEPIA analysis showed that the mRNA expression levels of TEFM in LGG were significantly higher than that of non-tumor tissue. Moreover, the mRNA expression of TEFM is significantly correlated with age, World Health Organization (WHO) grade, pathological types, headache history and supratentorial location (P<0.05). Kaplan-Meier analysis showed that a high expression level of TEFM mRNA indicated a poor prognosis in OS rate (log-rank, P<0.01). Multivariate Cox regression analysis showed that age, WHO grade, pathological types and supratentorial location were the independent prognostic factors of LGG patients. The mRNA expression levels of TEFM gene were positively correlated with the TFAM, TFB1M, TFB2M, MTERF1-F4 and NRF1 gene (P<0.01, R>0), but negatively correlated with the POLRMT gene (P<0.01, R=-0.18) in LGG. The GSEA revealed that genes associated with the cell cycle, RNA degradation, spliceosome, and ubiquitin mediated proteolysis signaling pathway were remarkably enriched in higher-TEFM versus lower-TEFM tumors. CONCLUSIONS: Our findings disclosed that the expression of TEFM mRNA was significantly upregulated in human LGG tissues compared to non-tumor brain tissues. More importantly, the elevated expression of TEFM mRNA may potentially predict poor OS in LGG patients.