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RHO Family GTPases in the Biology of Lymphoma
Abstract
RHO GTPases are a class of small molecules involved in the regulation of several cellular processes that belong to the RAS GTPase superfamily. The RHO family of GTPases includes several members that are further divided into two different groups: typical and atypical. Both typical and atypical RHO GTPases are critical transducers of intracellular signaling and have been linked to human cancer. Significantly, both gain-of-function and loss-of-function mutations have been described in human tumors with contradicting roles depending on the cell context. The RAS family of GTPases that also belong to the RAS GTPase superfamily like the RHO GTPases, includes arguably the most frequently mutated genes in human cancers (K-RAS, N-RAS, and H-RAS) but has been extensively described elsewhere. This review focuses on the role of RHO family GTPases in human lymphoma initiation and progression.
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“However, 46% of cases are observed in diffuse large B cell lymphoma (DLBCL) and are found to be related to somatic hypermutations in the noncoding region, rather than chromosomal rearrangements [41].”
From The Role of RhoH in TCR Signalling and Its Involvement in Diseases (2021) · cites this paper as [41]
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Metadata
- Authors
- Voena, C., & Chiarle, R.
- Affiliations
- Department of Molecular Biotechnology and Health Sciences, University of Torino, 10126 Torino, Italy
- ORCID
- Voena, Claudia
- Venue
- Cells
- Publisher
- MDPI AG
- Published
- 2019-06-26
- Volume
- 8
- Issue
- 7
- Pages
- 646
- ISSN
- 2073-4409
- PMC
- PMC6678807
- Cited by
- 35
- References
- 115
- Language
- en
- Funders
- National Cancer Institute (R01 CA196703-01)
- H2020 Marie Skłodowska-Curie Actions (675712)
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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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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.