SMAGP a novel biomarker of cervical cancer development and progression
Authors Jia Y, Li H, Liu G, Song F
Received 30 May 2018
Accepted for publication 18 July 2018
Published 15 October 2018 Volume 2018:11 Pages 6925—6935
Checked for plagiarism Yes
Review by Single-blind
Peer reviewer comments 2
Editor who approved publication: Dr Cho
Yongqin Jia, 1,2 Haiyu Li, 1,3 Geli Liu, 1,2 Fangzhou Song 1,2
1Molecular Medicine and Cancer Research Center, Chongqing Medical University, Chongqing 400016, China; 2Department of Biochemistry and Molecular Biology, Chongqing Medical University, Chongqing 400016, China; 3Department of Infectious Disease, Chongqing Infectious Disease Medical Center, Chongqing 400030, China
Introduction: Cervical cancer, one of the most common malignant gynecological tumors, is a significant burden on the health of females worldwide. The purpose of this study was to investigate genes associated with lymph node metastasis in cervical cancer.
Methods: We report on the lymph node metastasis-associated gene, small cell adhesion glycoprotein (SMAGP), as a key regulator of cervical cancer development and progression. SMAGP expression levels were investigated in 70 cervical squamous cell carcinoma samples and 10 normal cervical squamous epithelium samples.
Results: Immunohistochemistry analysis revealed that SMAGP protein levels were significantly elevated in cervical cancer tissue compared with normal cervical squamous epithelium. Silencing of SMAGP induced cell cycle arrest, inhibited the cell proliferation and colony formation ability of cervical cancer cells in vitro and suppressed their tumorigenic potential in nude mice. In addition, SMAGP knockdown reduced expression of epithelial mesenchymal transition-related proteins, including vimentin, β-cadherin, MMP2, and Twist.
Conclusion: Together, our findings demonstrate that SMAGP plays a critical role in cell proliferation and tumorigenesis and could be a new therapeutic target in cervical cancer.
Keywords: cervical cancer, small cell adhesion glycoprotein, bioinformatics, cell cycle
Erratum for this paper has been published
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