Bibliographic Details
| Title: |
Fam20C Overexpression Predicts Poor Outcomes and is a Diagnostic Biomarker in Lower-Grade Glioma |
| Authors: |
Jing Feng, Jinping Zhou, Lin Zhao, Xinpeng Wang, Danyu Ma, Baoqing Xu, Feilai Xie, Xingfeng Qi, Gang Chen, Hu Zhao, Junxin Wu |
| Source: |
Frontiers in Genetics, Vol 12 (2021) |
| Publisher Information: |
Frontiers Media S.A., 2021. |
| Publication Year: |
2021 |
| Collection: |
LCC:Genetics |
| Subject Terms: |
FAM20C, lower-grade gliomas, LGG, biomarker, prognosis, bioinformatics, Genetics, QH426-470 |
| More Details: |
Glioma is a relatively low aggressive brain tumor. Although the median survival time of patients for lower-grade glioma (LGG) was longer than that of patients for glioblastoma, the overall survival was still short. Therefore, it is urgent to find out more effective molecular prognostic markers. The role of the Fam20 kinase family in different tumors was an emerging research field. However, the biological function of Fam20C and its prognostic value in brain tumors have rarely been reported. This study aimed to evaluate the value of Fam20C as a potential prognostic marker for LGG. A total of 761 LGG samples (our cohort, TCGA and CGGA) were included to investigate the expression and role of Fam20C in LGG. We found that Fam20C was drastically overexpressed in LGG and was positively associated with its clinical progression. Kaplan-Meier analysis and a Cox regression model were employed to evaluate its prognostic value, and Fam20C was found as an independent risk factor in LGG patients. Gene set enrichment analysis also revealed the potential signaling pathways associated with Fam20C gene expression in LGG; these pathways were mainly enriched in extracellular matrix receptor interactions, cell adhesion, cell apoptosis, NOTCH signaling, cell cycle, etc. In summary, our findings provide insights for understanding the potential role of Fam20C and its application as a new prognostic biomarker for LGG. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
1664-8021 |
| Relation: |
https://www.frontiersin.org/articles/10.3389/fgene.2021.757014/full; https://doaj.org/toc/1664-8021 |
| DOI: |
10.3389/fgene.2021.757014 |
| Access URL: |
https://doaj.org/article/5feda54977c14a198ee9550f65a3a66f |
| Accession Number: |
edsdoj.5feda54977c14a198ee9550f65a3a66f |
| Database: |
Directory of Open Access Journals |
