Early 2 factor (E2F) transcription factors contribute to malignant progression and have clinical prognostic value in lower-grade glioma

Bioengineered

Haitao Luo¹  Xingen Zhu²  Kai Huang²  Chuming Tao³  Xiaoyan Long⁴ 

[1] Department of Neurosurgery, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province, Chin;Department of Neurosurgery, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province, Chin;Institute of Neuroscience, Nanchang University, Nanchang, Jiangxi Province, Chin;Department of Neurosurgery, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province, Chin;Scientific Research Center, East China Institute of Digital Medical Engineering, Shangrao, Jiangxi Province, Chin;Scientific Research Center, East China Institute of Digital Medical Engineering, Shangrao, Jiangxi Province, Chin;

关键词: E2F transcription factors;    lower-grade glioma;    risk model;    overall survival;    gene expression profile;   

DOI  :  10.1080/21655979.2021.1985340

来源: Taylor & Francis

【 摘 要 】

Early 2 factor (E2F) genes encoding a family of transcription factors are significantly associated with apoptosis, metabolism, and angiogenesis in several tumor types. However, the biological functions of E2F transcription factors (E2Fs) and their potential involvement in the malignancy of lower-grade glioma (LGG) remain unclear. We explored the effects of the expression of eight E2F family members on the clinical characteristics of LGG based on the Chinese Glioma Genome Atlas (CGGA), The Cancer Genome Atlas (TCGA), and GSE16011 datasets. Two LGG subgroups were identified according to the consensus clustering of the eight E2Fs. We employed the least absolute shrinkage and selection operator (LASSO) Cox regression algorithm for further functional experiments and the development of a potential risk score. Two categories of patients with LGG were identified based on the median risk scores. We then developed a nomogram based on the results of the multivariate analysis. Real-time quantitative polymerase chain reaction (RT-qPCR) and immunohistochemistry were performed to validate the bioinformatics results. Our results indicated that E2F family members were significantly involved in the malignancy of LGG and might serve as effective prognostic biomarkers of the disease.

【 授权许可】

CC BY