| Literature DB >> 31027363 |
Pradip De1,2, Jennifer Carlson Aske3, Nandini Dey4,5.
Abstract
Three GTPases, RAC, RHO, and Cdc42, play essential roles in coordinating many cellular functions during embryonic development, both in healthy cells and in disease conditions like cancers. We have presented patterns of distribution of the frequency of RAC1-alteration(s) in cancers as obtained from cBioPortal. With this background data, we have interrogated the various functions of RAC1 in tumors, including proliferation, metastasis-associated phenotypes, and drug-resistance with a special emphasis on solid tumors in adults. We have reviewed the activation and regulation of RAC1 functions on the basis of its sub-cellular localization in tumor cells. Our review focuses on the role of RAC1 in cancers and summarizes the regulatory mechanisms, inhibitory efficacy, and the anticancer potential of RAC1-PAK targeting agents.Entities:
Keywords: RAC1; resistance; solid tumors; sub-cellular signaling
Mesh:
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Year: 2019 PMID: 31027363 PMCID: PMC6562738 DOI: 10.3390/cells8050382
Source DB: PubMed Journal: Cells ISSN: 2073-4409 Impact factor: 6.600
Figure 1Alterations of RAC1 Gene: Data has been queried from cBioPortal. Figure 1 shows the alteration frequency of RAC1 gene in different cancer types: Data obtained from c-BioPortal (January 2019) representing a combined study of 74247 samples, querying 71857 patients/74247 samples in 240 studies (http://www.cbioportal.org). Y-axis represents alteration frequency of RAC1 gene (colors represent the type of alterations as shown in the figure). The frequency of alterations is sorted on X-axis according to cancer types. Inset shows the entire distribution of the frequency of alterations of the RAC1 gene while the boxed portion of the inset represents only the cancers where the frequency of alterations occurred (boxed in the inset).
Figure 2The frequency of alteration of RAC1 gene in melanomas: The oncoprint presents data obtained from c-BioPortal (February 2019) representing a combined study of 1315 samples (http://www.cbioportal.org), querying 1273 patients/1315 samples in 12 studies, as shown in the different color codes of the oncoprint (upper panel) under “Study of origin” in the figure. The percentage (5%*) represents the alteration of the RAC1 gene in patients with melanomas. The lower panel of the oncoprint represents the types of alterations of RAC1 gene in samples as shown under “Genetic Alteration” in the figure. Unaltered cases (RAC1 gene) were not included in the oncoprint. The bar diagram (figure on the right panel) represents the frequency of alterations in RAC1 gene in a few individual melanoma studies where alterations were identified. The Y-axis of the bar diagram represents the alteration frequency of the RAC1 gene (colors represent the types of alterations as shown in the figure). The frequencies of the alterations are sorted on the X-axis according to “Cancer Study”. MSS Mixed Solid Tumors (Van Allen, 2018) is not represented in the bar-diagram.
Figure 3The frequency of alteration of the RAC1 gene in lung cancers: The oncoprint presents data obtained from c-BioPortal (February 2019) representing a combined study of 1933 samples (http://www.cbioportal.org), querying 1933 patients/samples in six studies as shown in the different color codes of the oncoprint (upper panel) under “Study of origin” in the figure. The percentage (3%*) represents the alteration of the RAC1 gene in patients with lung cancers. The lower panel of the oncoprint represents the types of alterations of RAC1 gene in samples as shown under “Genetic Alteration” in the figure. The middle panel of the oncoprint presents distribution of metastatic stage (M Stage as shown in the figure) of the patients where alteration of the RAC1 gene was identified. Unaltered cases (RAC1 gene) were not included in the oncoprint. The bar diagram (figure on the right panel) represents the frequency of alterations in the RAC1 gene in a few individual lung cancer studies where alteration was identified. The Y-axis of the bar diagram represents alteration frequency of the RAC1 gene (colors represent the type of alteration as shown in the figure). The frequencies of alterations are sorted on the X-axis according to “Cancer Study”.
Figure 4The frequency of alteration of RAC1 gene in uterine cancers: The oncoprint presents data obtained from c-BioPortal (February 2019) representing a combined study of 792 samples (http://www.cbioportal.org), querying 784 patients/792 samples in five studies as shown in different color codes of the oncoprint (upper panel) under “Study of origin” in the figure. The percentage (1.2%*) represents the alteration of the RAC1 gene in patients with uterine cancers. The lower panel of the oncoprint represents the types of alterations of RAC1 gene in samples as shown under “Genetic Alteration” in the figure. Unaltered (RAC1 gene) cases were not included in the oncoprint. The bar diagram (figure on the right panel) represents the frequency of alterations in the RAC1 gene in a few individual uterine cancer studies where alteration was identified. The Y-axis of the bar diagram represents alteration frequency of the RAC1 gene (colors represent the type of alteration as shown in the figure). The frequencies of alterations are sorted on X-axis according to “Cancer Study”.
Figure 5RAC1 signaling in tumor cells: RAC1 signaling in tumors cells and the involvement of the RAC1 protein in tumorigenesis and drug-resistance as presented in the review. (A) represents the RAC1 signaling pathway. RAC1 cycles between an inactive-GDP-bound form, and an active-GTP-bound form. Signals from cell surface receptors, for example, G-protein coupled receptors (GPCRs), receptor tyrosine kinases (RTKs), and integrins (alpha, beta) converge on the guanine nucleotide exchange factors (GEFS: VAV, TIAM, PREX), which converts RAC1 into its active state. Once activated, RAC1 can bind to a wide range of effectors, which in turn influence both a variety of oncogenic phenotypes like proliferation/survival, actin remodeling/migration, metastasis, and angiogenesis in tumor cells. In the process of functions mentioned above within tumor cells, RAC1 signals are closely knit to both the PI3K-AKT and the RAS-MAPK pathways integrating extracellular stimulations with oncogenic alterations. Other mechanisms, such as the stabilization of the active form of RAC1 by sumoylation or sequestration of the inactive form by guanine nucleotide dissociation factors (GDIs), can also influence the level of RAC1 signaling. Schematic illustration of RAC1 signaling pathways and functions of its effectors are presented. Green font represents signaling events following phosphorylation-mediated activation of the protein. The red font represents signaling events following phosphorylation-mediated inactivation of the protein. The blue border represents adaptor protein, the orange border represents GDP state/inactivating phosphorylation, the green border represents activated phosphorylation, the yellow border represents metastatic pathway, the yellow arrows represent metastatic pathway network, the green arrows represent proliferation/survival network, and the red line represents inhibition of signals. (B) illustrates the involvement of RAC1 in tumorigenesis and drug-resistance: RAS signaling-mediated tumorigenesis and the RAC1-PAK1 pathway-mediated resistance against RAS–RAF-MEK pathway-targeted drugs in cancers has been illustrated. RAC1 plays a cardinal role in the development of drug-resistance, especially in BRAF-mediated cancers like melanoma in which the development of resistance to BRAF inhibitors like vemurafenib, debrafenib, and encorafenib for a certain time leads to the hyper-activation of RAC1. The hyper-activation of RAC1 may either occur in the presence of upstream RTK-activation or due to the accompanying amplification or hot-stop mutation of RAC1. Under hyper-activation of RAC1, the RAC1-GTP activates PAK1, leading to the downstream activation of MEK and bypassing the upstream BRAF inhibition.