Title |
Insights into the clinical value of cyclin-dependent kinase 5 in glioma: a retrospective study
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Published in |
World Journal of Surgical Oncology, July 2015
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DOI | 10.1186/s12957-015-0629-z |
Pubmed ID | |
Authors |
Ruan Yushan, Chen Wenjie, Huang Suning, Dang Yiwu, Zhong Tengfei, Wickramaarachchi Mihiranganee Madushi, Luo Feifei, Zhang Changwen, Wen Xin, Gopaul Roodrajeetsing, Li Zuyun, Chen Gang |
Abstract |
Previous studies suggested that expression of cyclin-dependent kinase 5 (CDK5) may promote the migration and invasion of human glioma cells. In this study, we aimed to evaluate the clinical value of CDK5 in different grades of glioma in relation to Ki-67 labeling index (LI). We firstly assessed by immunohistochemistry the expression of CDK5 in 152 glioma tissues and 16 normal brain tissues and further explored the relationship between CDK5 expression and other clinical features. The positive ratio of CDK5 in gliomas (57.2 %) was higher than that in normal brain tissues (12.5 %, P = 0.001). Difference of CDK5 expression among four World Health Organization (WHO) grades was statistically significant (P = 0.001). The significant differences of CDK5 expression were also observed between WHO I glioma (34.8 %) and WHO III glioma (62.5 %), as well as WHO IV glioma (82.8 %; P = 0.026, P < 0.001, respectively). Furthermore, Spearman's rank correlation confirmed that CDK5 was positively correlated with the pathological grade of glioma (r = 0.831, P < 0.001). The CDK5 expression was also positively correlated with Ki-67 LI (r = 0.347, P < 0.001). The current result suggests that CDK5 may play an essential role in the tumorigenesis and aggressiveness of gliomas. |
X Demographics
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Portugal | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 19 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Bachelor | 3 | 16% |
Other | 2 | 11% |
Professor | 2 | 11% |
Researcher | 2 | 11% |
Student > Master | 2 | 11% |
Other | 3 | 16% |
Unknown | 5 | 26% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 5 | 26% |
Agricultural and Biological Sciences | 4 | 21% |
Medicine and Dentistry | 3 | 16% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 5% |
Neuroscience | 1 | 5% |
Other | 0 | 0% |
Unknown | 5 | 26% |