Involvement of RB gene family in tumor angiogenesis
Open accessAbstract
Angiogenesis, the development of new blood vessels from pre-existing vessels, represents a fundamental step in tumor progression and metastatization. The induction of vasculature is required for growth of the tumor mass, to ensure an adequate supply of oxygen and metabolites to the tumor beyond a critical size. Tumor angiogenesis is a highly regulated process that is controlled physiologically by the tumor microenvironment and genetically by alteration of several oncogenes or tumor suppressor genes. We will focus on recent demonstrations regarding the involvement of the retinoblastoma family proteins (phosphorylated retinoblastoma (pRb), p107 and pRb2/p130) at different levels of the angiogenic process. pRb and its homologs can regulate the expression of pro- and antiangiogenic factors, such as the vascular endothelial growth factor, through an E2F-dependent mechanism. Moreover, pRb is able to modulate also the transcriptional activity of several angiogenesis-related factors like HIF-1, Id2 and Oct-1. pRb2/p130 is required for both differentiation and mobilization of bone marrow-derived endothelial cell precursors and endothelial sprouting from neighboring vessels. The involvement of the pRb pathway in the angiogenesis process has also been demonstrated by different cellular models expressing viral oncoproteins, like human papilloma virus. Moreover, some natural and synthetic compounds demonstrate their antiangiogenetic activity with a mechanism of action involving pRb. Finally, the possible prognostic value of immunohistochemical evaluation of pRb and/or pRb2/p130 expression can represent a useful tool for the characterization of the angiogenic phenotype of specific tumor histotypes.
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The RB-E2F pathway transcriptionally targets VEGF and other angiogenic factors that tumours secrete to attract endothelial cells.
“Emerging evidence shows that vascular endothelial growth factor (VEGF) and other angiogenic factors that are secreted by tumour cells to recruit endothelial cells are transcriptional targets of the RB–E2F pathway130.”
From Cellular mechanisms of tumour suppression by the retinoblastoma gene (2008) · cites this paper as [130]
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D'Silva, C. N. (2010)
Disruptive chemicals, senescence and immortality
Almagro, F., & Kyoto, S.-K. (2015)
- Authors
- Gabellini, C., Del Bufalo, D., & Zupi, G.
- Affiliations
- Instituto Nazionale Tumori Regina Elena (IT)
- Corresponding author
- Zupi, G
- ORCID
- Gabellini, C
- Venue
- Oncogene
- Published
- 2006-08-28
- Volume
- 25
- Issue
- 38
- Pages
- 5326-5332
- ISSN
- 0950-9232 (ISSN-L)
- 1476-5594
- OpenAlex
- W2029323847
- Cited by
- 47
- References
- 98
- Citations by year
- 2020: 1 · 2019: 1 · 2017: 2 · 2016: 4 · 2015: 6 · 2014: 2 · 2013: 4 · 2012: 4
- FWCI
- 0.34
- Type
- journal article
- Language
- en
- Open access
- Licence
- Locations
- Oncogene (publishedVersion)
- PubMed (publishedVersion)
- CINECA IRIS Institutial research information system (University of Pisa) (submittedVersion)
- INFM-OAR (INFN Catania) (submittedVersion, other-oa)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Angiogenesis and VEGF in Cancer
- Health Sciences › Medicine › Oncology › Cancer-related Molecular Pathways
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › TGF-β signaling in diseases
- Keywords
- tumor angiogenesis, retinoblastoma protein, p107, pRb2/p130, vascular endothelial growth factor, HIF-1, Id2, Oct-1, anti-angiogenic compounds, prognostic factors, tumor microenvironment
- MeSH terms
- Multigene Family, Humans, Neoplasms, Neovascularization, Pathologic, Retinoblastoma, Transcription Factors, Genes, Retinoblastoma, Retinal Neoplasms, Angiogenesis Inducing Agents
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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