Correlation between the Expression of Topo IIα and Ki67 in Breast Cancer and its clinical Pathological characteristics
Objective: To investigate the expression of Topo IIα and Ki67 and its clinical significance.
Methods: The clinical pathological data of one hundred and sixteen invasive breast cancer patients who were admitted into our hospital from July 2013 to December 2015 and underwent radical mastectomy were retrospectively analyzed. The expression of topoisomerase (Topo) IIα and Ki67 was detected using immunohistochemical method, and the correlation between the two kinds of proteins and the general clinical pathological characteristics of the patients was analyzed.
Results: The positive expression rates of Topo IIα and Ki67 in breast cancer were 58.6% and 75% respectively. The expression of Topo IIα was in no apparent correlation with the age, tumor size, estrogen receptor (ER), progesterone receptor (PR) and human epidermal growth factor receptor 2 (HER-2) (P>0.05), but in a correlation with the number of metastatic lymph glands (P<0.05). The expression of Ki67 was in no apparent correlation with the age, tumor size, EP and HER-2, but in a correlation with the number of metastatic lymph glands and PR (P<0.05). The multi-factor logistic regression analysis results suggested that the number of metastatic lymph glands was the independent predictive factor of Topo IIα positive expression and the number of metastatic lymph glands and PR protein expression state are the independent predictive factors of Ki67 positive expression.
Conclusion: Topo IIα and Ki67 can be regarded as the indicators for reflecting the proliferation activity of tumor cells, and the detection of Topo IIα and Ki67 expression is of great significance to the prognosis evaluation of breast cancer patients and clinical treatment.
How to cite this:Jin J, Zheng D, Liu Y. Correlation between the Expression of Topo IIα and Ki67 in Breast Cancer and its clinical Pathological characteristics. Pak J Med Sci. 2017;33(4):844-848. doi: https://doi.org/10.12669/pjms.334.13143
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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