H-Index
79
Scimago Lab
powered by Scopus
JCR
Clarivate
Analytics
15%
Acceptance
Rate
call: +1.631.470.9640
Mon-Fri 10 am - 2 pm EST

Logo

Medical Science Monitor Basic Research
AmJCaseRep

Annals
ISI-Home

eISSN: 1643-3750

Correlations Between mRNA Levels of Centrosomal Protein 55 (CEP55) and Clinical Features of Patients with Lung Cancer

Xue-Ping Ma, Wenping Zhang, Bu-Qiang Wu, Jun Qin

Department of General Surgery, Peace Hospital of Changzhi Medical College, Changzhi, Shanxi, China (mainland)

Med Sci Monit 2018; 24: LBR3093-3097

DOI: 10.12659/MSM.907266

Available online:

Published: 2018-05-11


#907266

BACKGROUND: The aim of this study was to investigate the prognostic relevance of CEP55 in lung cancer (LC).
MATERIAL AND METHODS: LC microarray profile GSE30219 was obtained from the GEO database. The 2-sample t test was performed to clarify the difference in CEP55 expression between LC and normal lung tissue. The chi-square test and logistic regression analysis were preformed to investigate the relationship between CEP55 expression and the clinical features of LC patients. Log-rank test and Cox proportional hazards regression analysis were conducted to evaluate the disease-free survival (DFS) and overall survival (OS) of LC patients. Gene set enrichment analysis was conducted to investigate the related mechanisms.
RESULTS: CEP55 was significantly increased in LC cells relative to normal lung tissues (P<0.0001). Univariate and multivariate correlation analyses demonstrated that CEP55 expression was associated with advanced T and N staging of LC (P<0.0001). Survival analyses indicated that CEP55 expression was an independent risk factor for DFS (HR: 1.515, 95% CI: 1.277–1.797, P<0.0001) and OS (HR: 1.436, 95% CI: 1.278–1.615). CEP55 might affect the proliferation of LC cells through Myc signaling, DNA repair, and G2M checkpoint.
CONCLUSIONS: Our results indicated that CEP55 was increased in LC cells and was associated with poor clinical outcomes of LC patients, and could be a prognostic biomarker for LC.

Keywords: Data Collection, Lung Neoplasms, Prognosis, Survival Analysis



Back