International Journal of Hematology and Oncology 2019, Vol 29, Num 4 Page(s): 001-013
CHARACTERISTICS AND SURVIVAL OF FEMALE BREAST CANCER PATIENTS, FOLLOWED AT THE GÜLHANE MILITARY MEDICAL ACADEMY, DEPARTMENT OF MEDICAL ONCOLOGY, BETWEEN 1992-2002

SELİM KILIÇ1, SABAHAT TEZCAN1, ŞEREF KÖMÜRCÜ1, AHMET ÖZET1, BANU ÇAKIR1, FİKRET ARPACI1, OSMAN SARAÇBAŞI1, BEKİR ÖZTÜRK1, BİLAL BAKIR1, SELMİN ATAERGİN1, OKAN KUZHAN1, METİN HASDE1

Gülhane Askeri Tıp Akademisi Halk Sağlığı AD

Keywords: breast Cancer, Survival
This retrospective cohort study investigated personal and disease characteristics and survival of 712 female breast cancer patients, treated at Gülhane Military Medical Academy Medical Oncology Department, between 1992-2002. The mean age of patients is 50.0± 12.1 (median = 49) years. Frequency of female patients with a positive family history for breast cancer was 18.5%. The average tumor size was 3.1 cm. Invasive ductal carcinomas and grade II tumors were the most common findings regarding tumor histology and grade. At the time of first diagnosis, no metastatic lymph node was detected in 39.9% of cases at the time of diagnosis, whereas bone was determined as the most common site involved in patients with metastases. Estrogen and progesterone receptor positivity were detected in 62.2%, and 51.3% of women, respectively. Of the patients, 62.1% were at stage II and 4.5% at stage IV at the time of diagnosis. Only 13.5% of the patients were diagnosed at stage I. The survival of the patients were estimated by using Kaplan Meier method. The mean follow up time was 48.6± 30.4 (median 46.3) months. The overall survival of the patients at the end of the first, fifth and tenth years were 98.4%, 74.2%,48.8% respectively. In univariate analysis; stage, tumor size, number of metastatic lymph nodes, grade, and status of progesteron hormone receptor were found to have statistically significant effects on overall survival (p<0.05). In Cox proportional hazards modelling, tumor size, number of metastatic lymph nodes, and status of progesteron hormone receptor remained in the models as significant predictors of survival.