(2020) Cancer and SOX proteins: New insight into their role in ovarian cancer progression/inhibition. Pharmacological Research. p. 12. ISSN 1043-6618
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Abstract
Transcription factors are potential targets in disease therapy, particularly in cancer. This is due to the fact that transcription factors regulate a variety of cellular events, and their modulation has opened a new window in cancer therapy. Sex-determining region Y (SRY)-related high-mobility group (HMG) box (SOX) proteins are potential transcription factors that are involved in developmental processes such as embryogenesis. It has been reported that abnormal expression of SOX proteins is associated with development of different cancers, particularly ovarian cancer (OC). In the present review, our aim is to provide a mechanistic review of involvement of SOX members in OC. SOX members may suppress and/or promote aggressiveness and proliferation of OC cells. Clinical studies have also confirmed the potential of transcription factors as diagnostic and prognostic factors in OC. Notably, studies have demonstrated the relationship between SOX members and other molecular pathways such as ST6Ga1-I, PI3K, ERK and so on, leading to more complexity. Furthermore, SOX members can be affected by upstream mediators such as microRNAs, long non-coding RNAs, and so on. It is worth mentioning that the expression of each member of SOX proteins is corelated with different stages of OC. Furthermore, their expression determines the response of OC cells to chemotherapy. These topics are discussed in this review to shed some light on role of SOX transcription factors in OC.
Item Type: | Article |
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Keywords: | SOX Transcription factor Ovarian cancer Cancer therapy Chemotherapy MicroRNA squamous-cell carcinoma sex-determining region epithelial-mesenchymal transition transcription factor sox10 breast-cancer poor-prognosis promotes proliferation cervical-cancer gene-expression down-regulation Pharmacology & Pharmacy |
Page Range: | p. 12 |
Journal or Publication Title: | Pharmacological Research |
Journal Index: | ISI |
Volume: | 161 |
Identification Number: | https://doi.org/10.1016/j.phrs.2020.105159 |
ISSN: | 1043-6618 |
Depositing User: | مهندس مهدی شریفی |
URI: | http://eprints.bmsu.ac.ir/id/eprint/8513 |
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