Early 2 factor (E2F) transcription factors contribute to malignant progression and have clinical prognostic value in lower-grade glioma
| Autor: | Kai Huang, Xiaoyan Long, Haitao Luo, Xingen Zhu, Chuming Tao |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Oncology
medicine.medical_specialty overall survival Bioengineering Disease Malignancy e2f transcription factors Applied Microbiology and Biotechnology risk model Internal medicine Glioma medicine Humans Transcription factor lower-grade glioma Brain Neoplasms Proportional hazards model business.industry Brain General Medicine Nomogram Prognosis medicine.disease Real-time polymerase chain reaction ROC Curve gene expression profile Transcriptome business E2F Transcription Factors TP248.13-248.65 Research Article Research Paper Biotechnology |
| Zdroj: | Bioengineered, Vol 12, Iss 1, Pp 7765-7779 (2021) Bioengineered article-version (VoR) Version of Record |
| ISSN: | 2165-5987 2165-5979 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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