RhoA and Rac1 in liver cancer cells: Induction of overexpression using mechanical stimulation
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Kashaninejad, N
Nguyen, NT
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Abstract
Liver cancer, especially hepatocellular carcinoma (HCC), is an aggressive disease with an extremely high mortality rate. Unfortunately, no promising markers are currently available for the early diagnosis of this disease. Thus, a reliable biomarker reflecting the early behaviour of the tumour will be valuable for diagnosis and treatment. The Ras homologous (Rho) GTPases, which belong to the small guanosine triphosphate (GTP) binding proteins, have been reported to play an important role in mediating liver cancer based on their important function in cytoskeletal reorganisation. These proteins can be either oncogenic or tumour suppressors. They are also associated with the acquirement of malignant features by cancer cells. The overexpression of RhoA and Rac1, members of the Rho GTPases, have been linked with carcinogenesis and the progression of dierent types of cancer. In the quest of elucidating the role of mechanical stimulation in the mechanobiology of liver cancer cells, this paper evaluates the eect of stretching on the expression levels of RhoA and Rac1 in dierent types of liver cancers. It is shown that that stretching liver cancer cells significantly increases the expression levels of RhoA and Rac1 in HCC and cholangiocarcinoma cell lines. We hypothesise that this relatively simple and sensitive method could be helpful for screening biological features and provide suitable treatment guidance for liver cancer patients.
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Micromachines
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11
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8
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© 2020 The Authors. Licensee MDPI, Basel, Switzerland. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Nanotechnology
HCC
Rac1
Rho GTPase
RhoA
cell-stretching
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Yadav, S; Kashaninejad, N; Nguyen, NT, RhoA and Rac1 in liver cancer cells: Induction of overexpression using mechanical stimulation, Micromachines, 2020, 11 (8), pp. 729-729