Clinical Implication of E2F Transcription Factor 1 in Hepatocellular Carcinoma Tissues.
Wang-Yang YeHui-Ping LuJian-Di LiGang ChenRong-Quan HeHua-Yu WuXian-Guo ZhouMin-Hua RongLi-Hua YangWei-Ying HeQiu-Yu PangShang-Ling PanYu-Yan PangYi-Wu DangPublished in: Cancer biotherapy & radiopharmaceuticals (2021)
Background: To date, the clinical management of advanced hepatocellular carcinoma (HCC) patients remains tough and the mechanisms of E2F transcription factor 1 (E2F1) underlying HCC are obscure. Materials and Methods: Our study integrated datasets mined from several public databases to comprehensively understand the deregulated expression status of E2F1. Tissue microarrays and immunohistochemistry staining was used to validate E2F1 expression level. The prognostic value of E2F1 was assessed. In-depth subgroup analyses were implemented to compare the differentially expressed levels of E2F1 in HCC patients with various tumor stages. Functional enrichments were used to address the predominant targets of E2F1 and shedding light on their potential roles in HCC. Results: We confirmed the elevated expression of E2F1 in HCC. Subgroup analyses indicated that elevated E2F1 level was independent of various stages in HCC. E2F1 possessed moderate discriminatory capability in differentiating HCC patients from non-HCC controls. Elevated E2F1 correlated with Asian race, tumor classification, neoplasm histologic grade, eastern cancer oncology group, and plasma AFP levels. Furthermore, high E2F1 correlated with poor survival condition and pooled HR signified E2F1 as a risk factor for HCC. Enrichment analysis of differentially expressed genes, coexpressed genes, and putative targets of E2F1 emphasized the importance of cell cycle pathway, where CCNE1 and CCNA2 served as hub genes. Conclusions: We confirmed the upregulation of E2F1 and explored the prognostic value of E2F1 in HCC patients. Two putative targeted genes (CCNE1 and CCNA2) of E2F1 were identified for their potential roles in regulating cell cycle and promote antiapoptotic activity in HCC patients.
Keyphrases
- cell cycle
- end stage renal disease
- transcription factor
- ejection fraction
- newly diagnosed
- cell proliferation
- peritoneal dialysis
- poor prognosis
- machine learning
- healthcare
- young adults
- palliative care
- mental health
- gene expression
- signaling pathway
- open label
- patient reported outcomes
- emergency department
- deep learning
- adverse drug
- randomized controlled trial
- single cell
- high intensity
- contrast enhanced
- low grade