E2F transcription factors associated with up-regulated genes in glioblastoma

Donaires, Flávia S.; Godoy, Paulo R. D. V.; Leandro, Giovana da Silva; Puthier, Denis; Sakamoto-Hojo, Elza T.

doi:10.3233/cbm-161628

Cited by 17 publications

(16 citation statements)

References 57 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…LncRNA HOTAIR could also down‐regulate EZH2 promoting cell cycle, cell proliferation and cell invasion. E2F4 was increased in GBM, which stimulated the GBM growth 55 . FOXM1 could also interact with E2F4 in this study.…”

Section: Discussionsupporting

confidence: 57%

Gene regulation network analysis reveals core genes associated with survival in glioblastoma multiforme

Jiang

Zhong

Chen

et al. 2020

J Cellular Molecular Medi

View full text Add to dashboard Cite

Glioblastoma multiforme (GBM) is a very serious mortality of central nervous system cancer. The microarray data from http://GSE2223, http://GSE4058, http://GSE4290, http://GSE13276, http://GSE68848 and http://GSE70231 (389 GBM tumour and 67 normal tissues) and the RNA‐seq data from TCGA‐GBM dataset (169 GBM and five normal samples) were chosen to find differentially expressed genes (DEGs). RRA (Robust rank aggregation) method was used to integrate seven datasets and calculate 133 DEGs (82 up‐regulated and 51 down‐regulated genes). Subsequently, through the PPI (protein‐protein interaction) network and MCODE/ cytoHubba methods, we finally filtered out ten hub genes, including FOXM1, CDK4, TOP2A, RRM2, MYBL2, MCM2, CDC20, CCNB2, MYC and EZH2, from the whole network. Functional enrichment analyses of DEGs were conducted to show that these hub genes were enriched in various cancer‐related functions and pathways significantly. We also selected CCNB2, CDC20 and MYBL2 as core biomarkers, and further validated them in CGGA, HPA and CCLE database, suggesting that these three core hub genes may be involved in the origin of GBM. All these potential biomarkers for GBM might be helpful for illustrating the important role of molecular mechanisms of tumorigenesis in the diagnosis, prognosis and targeted therapy of GBM cancer.

show abstract

Section: Discussionsupporting

confidence: 57%

Gene regulation network analysis reveals core genes associated with survival in glioblastoma multiforme

Jiang

Zhong

Chen

et al. 2020

J Cellular Molecular Medi

View full text Add to dashboard Cite

show abstract

“…It has been shown to cause senescence of gastric cancer cells 53 , and to reduce proliferation and survival of melanocytic cells and lung cancer cells in vitro 54,55 . E2F4 expression in glioblastoma tissue has been shown 56 . To our knowledge, our work provides the first description of its importance in GSCs.…”

Section: Progenitor Cancer Cells Drive Chemoresistance and Growthmentioning

confidence: 99%

Single-cell RNA-seq reveals that glioblastoma recapitulates a normal neurodevelopmental hierarchy

et al. 2020

View full text Add to dashboard Cite

Cancer stem cells are critical for cancer initiation, development, and treatment resistance. Our understanding of these processes, and how they relate to glioblastoma heterogeneity, is limited. To overcome these limitations, we performed single-cell RNA sequencing on 53586 adult glioblastoma cells and 22637 normal human fetal brain cells, and compared the lineage hierarchy of the developing human brain to the transcriptome of cancer cells. We find a conserved neural tri-lineage cancer hierarchy centered around glial progenitor-like cells. We also find that this progenitor population contains the majority of the cancer’s cycling cells, and, using RNA velocity, is often the originator of the other cell types. Finally, we show that this hierarchal map can be used to identify therapeutic targets specific to progenitor cancer stem cells. Our analyses show that normal brain development reconciles glioblastoma development, suggests a possible origin for glioblastoma hierarchy, and helps to identify cancer stem cell-specific targets.

show abstract

“…Alterations in E2F genes have been linked to poor patient survival and can induce tumor formation in mice [47][48][49][50]. A bioinformatic study defined the E2F family as the main contributor to the expression of up-regulated genes in glioblastoma [90]. In a recent study to evaluate early changes in expression in glioblastoma cells after radiation, we determined that down-regulation of genes implicated in the cell cycle, DNA repair and DNA replication is likely the result of decreased expression of FOXM1, E2F1, E2F2 and E2F8 [91].…”

Section: E2f2 and E2f8 Are Critical Mediators Of Msi1 Impact On Cell Cycle And Dna Replicationmentioning

confidence: 99%

Musashi1 Contribution to Glioblastoma Development via Regulation of a Network of DNA Replication, Cell Cycle and Division Genes

Baroni

Choudhary

et al. 2021

Cancers

View full text Add to dashboard Cite

RNA-binding proteins (RBPs) function as master regulators of gene expression. Alterations in their levels are often observed in tumors with numerous oncogenic RBPs identified in recent years. Musashi1 (Msi1) is an RBP and stem cell gene that controls the balance between self-renewal and differentiation. High Msi1 levels have been observed in multiple tumors including glioblastoma and are often associated with poor patient outcomes and tumor growth. A comprehensive genomic analysis identified a network of cell cycle/division and DNA replication genes and established these processes as Msi1’s core regulatory functions in glioblastoma. Msi1 controls this gene network via two mechanisms: direct interaction and indirect regulation mediated by the transcription factors E2F2 and E2F8. Moreover, glioblastoma lines with Msi1 knockout (KO) displayed increased sensitivity to cell cycle and DNA replication inhibitors. Our results suggest that a drug combination strategy (Msi1 + cell cycle/DNA replication inhibitors) could be a viable route to treat glioblastoma.

show abstract

E2F transcription factors associated with up-regulated genes in glioblastoma

Abstract: E2F1 is a potential common regulator of differentially expressed genes in glioblastoma, despite the genetic heterogeneity of tumor cells.

Cited by 17 publications

References 57 publications

Gene regulation network analysis reveals core genes associated with survival in glioblastoma multiforme

Gene regulation network analysis reveals core genes associated with survival in glioblastoma multiforme

Single-cell RNA-seq reveals that glioblastoma recapitulates a normal neurodevelopmental hierarchy

Musashi1 Contribution to Glioblastoma Development via Regulation of a Network of DNA Replication, Cell Cycle and Division Genes

Contact Info

Product

Resources

About