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[Ki67 in the prognosis of prostate cancer]
Ting Huang1, Jia-Jia Liu1, Jia-Wei Zhang1
1School of Clinical Medicine, Ningxia Medical University, General Hospital of Ningxia Medical University, Yinchuan, Ningxia 750004, China.
Objective:
To investigate the influencing factors and the role of Ki67 in the prognosis of PCa.
Methods:
We collected the clinical and follow-up data on 141 cases of PCa pathologically confirmed in the General Hospital of Ningxia Medical University from January 2008 to December 2014. We analyzed the factors possibly influencing the prognosis of PCa, including age, PSA level, Gleason score, clinical stage and Ki67, using the Kaplan-Meier method for univariate analysis, the Cox proportional hazards regression model for multivariate analysis and the multivariate Cox proportional hazards regression model for multiplicative interaction analysis.
Results:
Kaplan-Meier univariate analysis indicated that the main factors influencing the prognosis of PCa included Ki67 (χ2 = 38.507, P < 0.01), clinical stage (χ2 = 59.486, P < 0.01) and Gleason score (χ2 = 9.062, P < 0.05); Cox multivariate analysis showed Ki67 (HR = 1.88, P < 0.01) and clinical stage (HR = 1.92, P < 0.01) to be the risk factors; and interaction analysis demonstrated that Ki67 was not correlated with either the clinical stage or Gleason score.
Conclusions:
Ki67 is a risk factor in the prognosis of PCa.
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