SOX9: Advances in Gynecological Malignancies
Overview
Affiliations
Transcription factors of the SOX family were first discovered in mammals in 1990. The sex-determining region Y box 9 belongs to the SOX transcription factor family. It plays an important role in inducing tissue and cell morphogenesis, survival, and many developmental processes. Furthermore, it has been shown to be an oncogene in many tumors. Gynecological malignancies are tumors that occur in the female reproductive system and seriously threaten the lives of patients. Common gynecological malignancies include ovarian cancer, cervical cancer, and endometrial cancer. So far, the molecular mechanisms related to the incidence and development of gynecological malignancies remain unclear. This makes it particularly important to discover their common causative molecule and thus provide an effective therapeutic target. In recent years, studies have found that multiple mechanisms are involved in regulating the expression of the sex-determining region Y box 9, leading to the occurrence and development of gynecological malignancies. In this review, we discuss the prognostic value of expression and the potential of targeting for gynecological malignancy treatment. We also discuss progress regarding the role of in gynecological malignancy pathogenesis through its mediation of important mechanisms, including tumor initiation and proliferation, apoptosis, migration, invasion, chemoresistance, and stem cell maintenance.
Sun J, Zhang Y, Li A, Yu H Int J Genomics. 2024; 2024:6683202.
PMID: 38529261 PMC: 10963101. DOI: 10.1155/2024/6683202.
Role of SOX9 and Hif-1α expression in placentas of patients with HELLP.
Akalin S, Ocal E, Deveci E Acta Cir Bras. 2023; 38:e388023.
PMID: 37878989 PMC: 10592703. DOI: 10.1590/acb388023.
New insights into KLFs and SOXs in cancer pathogenesis, stemness, and therapy.
Zeng L, Zhu Y, Moreno C, Wan Y Semin Cancer Biol. 2023; 90:29-44.
PMID: 36806560 PMC: 10023514. DOI: 10.1016/j.semcancer.2023.02.003.
Prognostic value of in cervical cancer: Bioinformatics and experimental approaches.
Chen H, Chen X, Zeng F, Fu A, Huang M Front Genet. 2022; 13:939328.
PMID: 36003340 PMC: 9394184. DOI: 10.3389/fgene.2022.939328.