Solmaz Sohrabi - MSc of Medical Informatics, Faculty of Paramedical Sciences Shahid Beheshti University of Medical Sciences
Alireza Atashi - Student Research Committee, Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran; Cancer Informatics Department, Breast Cancer Research Center, ACECR, Iran

Introduction & Aim: Various predictive and prognostic factors could affect breast carcinoma behavior, but to date no definitive correlation has been established between them and breast carcinoma subtypes. The present study was conducted to examine the interrelationships of these predictive and prognostic factors as well as their effects on breast carcinoma. Methods: we used the archives of all patients with breast carcinoma from Cancer Research Center Shahid Beheshti were studied. Patients’ data were that included age, histology type, size and grade and stage of tumor, estrogen receptor (ER) and progesterone receptor (PR) status, along with the overexpression of human epidermal growth factor receptor (HER2/neu) and the rate of p53 mutations. All data were analyzed by SPSS-22 software with χ2 tests. Results: A total of 811 patients’ records were included in this study. The mean age of patients was 46 ± 12.9 with an age range of 20 to 70 years. A meaningful correlation was found between age and the grade oftumor (P = 0.001). In addition, a meaningful correlation was detected between the stage and grade of tumor (P = 0.001). No meaningful relationship was observed between the stage and HER2/neu overexpression. Meaningful correlation was found between the grade of tumor and P53 (P = 0.005) and also with HER2/neu overexpression (P = 0.002). Higher grades had greater positivity in p53 mutation rates (P = 0.01). Meaningful correlation was found between the grade of tumor and ER (P = 0.004) and also with PRoverexpression (P = 0.002). Conclusion: Young age, higher tumor grade and higher lymph node stage are associated with more unfavorable receptor expression and adverse prognosis. Hence, early diagnosis of breast cancers will help detection at lower tumor grade and stage and improve patient survival. Moreover, in young patients withbreast carcinoma, with the overexpression of HER2/neu and p53 mutations are higher grade, and it shows a more aggressive behavior than other tumors assessed in this age group