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eISSN: 1643-3750

Upregulated CDK16 Expression in Serous Epithelial Ovarian Cancer Cells

Qi Zhou, Yanni Yu

Department of Gynecology and Obstetrics, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China (mainland)

Med Sci Monit 2015; 21:3409-3414

DOI: 10.12659/MSM.894990

Available online:

Published: 2015-11-07


BACKGROUND: As CDK-16 has been shown to be upregulated in several transformed cancer lines, we hypothesized that the cyclin-dependent kinase 16 (CDK-16) may be upregulated in serous epithelial ovarian cancer (EOC) cells. Therefore, we comparatively examined the mRNA and protein expression of CDK-16 in samples resected from serous EOC patients and normal controls.
MATERIAL AND METHODS: Tissue samples were collected from 70 serous EOC patients and 40 normal controls. Quantitative real-time reverse transcription polymerase chain reaction (qRT-PCR) was conducted to assess mRNA expression. CDK-16 protein expression was assessed by semi-quantitative immunohistochemical staining. Differences in mRNA and protein expression between serous EOC cells and normal tissue cells were tested with the Kruskal-Wallis test and analysis of variance (ANOVA).
RESULTS: Both CDK-16 mRNA and protein expression were significantly higher in serous EOC tumor cells as compared to normal control ovarian cells (p<0.01). Although there was no significant correlation between CDK-16 mRNA expression and serous EOC stage (p=0.0794), there was a significant correlation between CDK-16 mRNA expression and serous EOC grade (p<0.0001). Moreover, there were significant correlations between CDK-16 protein expression and serous EOC stage (p<0.0001) and grade (p<0.0001).
CONCLUSIONS: CDK-16 upregulation in serous EOC cells may represent a negative feedback loop to promote ovarian cell differentiation in malignantly-transformed serous EOC cells. Further in-depth investigation on CDK-16’s role in serous EOC is needed

Keywords: Analysis of Variance, Adult, Case-Control Studies, Cyclin-Dependent Kinases - metabolism, Gene Expression Profiling, Gene Expression Regulation, Gene Expression Regulation, Neoplastic, Neoplasms, Glandular and Epithelial - metabolism, Ovarian Neoplasms - metabolism, Ovary - metabolism, RNA, Messenger - metabolism, Real-Time Polymerase Chain Reaction, Reverse Transcriptase Polymerase Chain Reaction, Sample Size, Up-Regulation



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