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. 2018 May 11;10(5):973-987.
doi: 10.18632/aging.101441.

Transcriptional E2F1/2/5/8 as potential targets and transcriptional E2F3/6/7 as new biomarkers for the prognosis of human lung carcinoma

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Transcriptional E2F1/2/5/8 as potential targets and transcriptional E2F3/6/7 as new biomarkers for the prognosis of human lung carcinoma

Cheng-Cao Sun et al. Aging (Albany NY). .

Abstract

E2F is a group of genes that encode a family of transcription factors (TFs) in higher eukaryotes and participate in cell cycle regulation and DNA synthesis in mammalian cells. Evidence from cell lines, mouse models, and human tissues indicates that TFs are implicated in lung cancer (LC) tumorigenesis. However, the diverse expression patterns and prognostic values of eight E2Fs have yet to be elucidated. In the current study, we examined the transcriptional and survival data of E2Fs in patients with LC from ONCOMINE, GEPIA, Kaplan-Meier Plotter, and cBioPortal databases. We found that the expression levels of E2F1/2/3/5/6/7/8 were higher in lung adenocarcinoma and squamous cell lung carcinoma tissues than in lung tissues, whereas the expression level of E2F4 was lower in the former than in the latter. The expression levels of E2F2/4/5/7/8 were correlated with advanced tumor stage. Survival analysis using the Kaplan-Meier Plotter database revealed that the high transcription levels of E2F1/2/4/5/7/8 were associated with low relapse-free survival (RFS) in all of the patients with LC. Conversely, high E2F3/6 levels predicted high RFS in these patients. This study implied that E2F3/6/7 are potential targets of precision therapy for patients with LC and that E2F1/2/4/5/8 are new biomarkers for the prognosis of LC.

Keywords: E2F translational factors; Kaplan-Meier plot; lung carcinoma; prognosis.

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Conflict of interest statement

CONFLICTS OF INTEREST: The authors declare that they have no competing interests.

Figures

Figure 1
Figure 1. The transcription levels of E2F factors in different types of cancers (ONCOMINE).
Figure 2
Figure 2. The expression of E2Fs in LC (GEPIA).
Figure 3
Figure 3. Correlation between E2Fs expression and tumor stage in LC patients (GEPIA).
Figure 4
Figure 4. The expression of E2Fs in LC (IHC).
Figure 5
Figure 5. The prognostic value of mRNA level of E2F factors in LC patients (Kaplan-Meier plotter).
Figure 6
Figure 6. E2F genes expression and mutation analysis in lung adenocarcinoma (cBioPortal).
Figure 7
Figure 7
The functions of E2Fs and genes significant associated with E2Fs alterations were predicted by analysis of Gene Ontology (GO) by DAVID (Database for Annotation, Visualization, and Integrated Discovery) tools (https://david.ncifcrf.gov/summary.jsp). GO enrichment analysis predicted the functional roles of target host genes based on three aspects including biological processes (A), cellular components (B), and molecular functions (C).
Figure 8
Figure 8. The functions of E2Fs and genes significant associated with E2Fs alterations were predicted by analysis of Kyoto Encyclopedia of Genes and Genomes (KEGG) by DAVID (Database for Annotation, Visualization, and Integrated Discovery) tools (https://david.ncifcrf.gov/summary.jsp).
Figure 9
Figure 9. Non-small cell lung cancer and Small cell lung cancer signal pathways regulated by the E2Fs alteration in lung adenocarcinoma (cBioPortal).

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