The importance of Prognostic factors (ER, PR, P53) in breast cancer and their relationship with stage of disease

Document Type : Research Paper

Authors

1 Assistant Professor of Radiation Oncology / Solid Tumor Treatment Research Center, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran

2 Master degrees in Statistics / Mashhad University of Medical Sciences, Mashhad, Iran

3 Associate professor of Radiation Oncology / Solid Tumor Treatment Research Center, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran

Abstract

Introduction: Breast cancer is the most common malignancy in Iranian women. Several factors such as estrogen and progesterone receptors and P53 mutation can influence the prognosis in these patients. In the present study, the frequency of these prognostic factors and their correlation with patient age, tumor size and  lymph nodes involvement were evaluated.
Materials and Methods: In this retrospective cohort study, over a 8-year period, 1022 cases of female breast cancer, referred to Mashhad Omid Hospital, entered for analysis.
Results: Frequency of estrogen receptor (ER), progesterone receptor (PR) and P53 mutation were 45.5% , 43.1%, and 18.7%, respectively. There was a significant negative correlation between PR and lymph node involvement (P = 0.006) and more axillary involvement was seen in PR negative patients. Metastasis had significant correlation with P53 mutation (P = 0.005). Patients age significantly associated with ER, PR (P = 0.00 and 0.01 respectively), such that the presence of ER,PR increased with age, but, P53 mutation had no significant correlation with age . There was a direct correlation between ER and PR (P = 0.000) and also a reverse correlation between hormonal receptors and P53 (P = 0.001).
Conclusion: P53 mutation was correlated with further metastasis and poor prognosis. Hormonal receptors could also predict axillary involvement.Evaluation of such biomarkers aided in estimation of disease prognosis.

Keywords

medical journal of mashhad university of medical sciences
Volume 57, Issue 2 - Serial Number 2
May and June 2014
Pages 457-463

Files

Share

How to cite

Statistics