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J Cancer Res Ther ; 19(2): 208-213, 2023.
Article in English | MEDLINE | ID: mdl-37006059

ABSTRACT

Background: ">ki67 may be used as a proliferative index in addition to estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2) negative status. p53 gene expression is a well-known biomarker in breast cancer and its role in predicting clinical outcome remains unclear. The current study aimed to determine the relationship between p53 gene mutation and ki67 expression, their clinical characteristics, and overall survival (OS), and to differentiate the significance of p53 and ki67 as the prognostic value in breast cancer patients. Methods: ">In this study, 135 patients were enrolled in the study from December 2015 to May 2017. Medical records for all patients were reviewed prospectively. The inclusion criteria included age more than 18 years with histologically proven breast cancer and willingness to be enrolled in p53 genetic study. Exclusion criteria included dual malignancy, male breast cancer, with a loss to follow-up during the study. Results: ">The mean survival of patients with ki67 ≤20 index was 42.7 months (95% confidence interval [CI] 38.7-46.7) and 129 months (95% CI 101.3-157.2) in patients with ki67 >20. The mean OS was 145 months (95% CI 105.6-185.5) in the p53 wild-type group and 106 months (95% CI 78.0-133.0) in the p53 mutated group, as illustrated. Conclusion: ">Our results indicated that p53 mutational status and high ki67 might have an essential impact on overall survival, with p53 mutated patients having a poorer outcome than p53 wild type patients.


Subject(s)
Breast Neoplasms , Tumor Suppressor Protein p53 , Humans , Male , Adolescent , Ki-67 Antigen/genetics , Ki-67 Antigen/metabolism , Tumor Suppressor Protein p53/genetics , Tumor Suppressor Protein p53/metabolism , Breast Neoplasms/metabolism , Receptor, ErbB-2/genetics , Receptor, ErbB-2/metabolism , Prognosis , Receptors, Progesterone/genetics , Receptors, Progesterone/metabolism , Biomarkers, Tumor/genetics , Biomarkers, Tumor/metabolism
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