Prognostic Impact of Cell Division Cycle Associated 2 Expression on Pancreatic Ductal Adenocarcinom

Meng yi Wang, Zhe yu Niu, Xiang-Gao, Li Zhou, Quan Liao, Yu pei Zhao

Research output: Contribution to journalArticlepeer-review

3 Scopus citations


Objective To examine the expression of cell division cycle associated 2 (CDCA 2) in pancreatic ductal adenocarcinoma (PDAC) and investigate its role in prognosis of PDAC patients. Methods This retrospective study included 155 PDAC patients who underwent surgical treatment and complete post-operative follow-up. Clinicopathologic data were collected through clinical database. Tissue microarray was constructed and immunohistochemistry was performed to detect CDCA2 expression in the PDAC tumor tissues and adjacent non-tumor tissues. Clinicopathological characteristics between high and low CDCA2 expression were compared. Correlation of CDCA2 expressions with patients’ survival was analyzed using Kaplan-Meier method and Cox regression analysis. Results Expression of CDCA2 in PDAC cells was significantly higher than that in adjacent non-tumor tissues (U=4056.5, P<0.001). Univariate analysis showed that CDCA2 expression [hazard ratio (HR) = 1.574, 95% confidence interval (CI)=1.014-2.443, P=0.043] and node metastasis (HR=1.704, 95%CI=1.183-2.454, P=0.004) were significantly associated with prognosis. Cox regression analysis showed CDCA2 expression was not an independent prognostic risk factor (HR=1.418, 95%CI=0.897-2.242, P=0.135) for PDCA patients. Stratification survival analysis demonstrated CDCA2 expression as an independent prognostic risk factor in male patients (HR=2.554, 95%CI=1.446-4.511, P=0.003) or in non-perineural invasion patients (HR=2.290, 95%CI=1.146-4.577, P=0.012). Conclusions CDCA2 is highly expressed in PDAC tumor tissue. Although CDCA2 is not an independent prognostic risk factor for PDAC patients, it might be used to help predict prognosis of male or non-perineural invasion patients of PDAC.

Original languageEnglish (US)
Pages (from-to)149-154
Number of pages6
JournalChinese Medical Sciences Journal
Issue number3
StatePublished - Sep 1 2016

All Science Journal Classification (ASJC) codes

  • General Medicine


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