Cyprus Journal of Medical Sciences
Original Article

Potential Predictive Factors for Breast Cancer Subtypes from a North Cyprus Cohort Analysis


Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, USA


Girne American University, School of Medicine, Kyrenia, Cyprus


Department of Oncology, Dr Burhan Nalbantoğlu State Hospital, Nicosia, Cyprus


The Robert S. Boas Center for Genomics and Human Genetics, The Feinstein Institutes for Medical Research, Northwell Health, NY, USA

Cyprus J Med Sci 2020; 5: 339-349
DOI: 10.5152/cjms.2020.2291
Read: 39 Downloads: 108 Published: 13 January 2021


We present the first epidemiological survey from North Cyprus to determine the predictive factors for breast cancer subtypes.


More than 300 patients with breast cancer, with 90% of them having the cancer subtype information, were examined at the State Hospital in Nicosia between 2006 and 2015 for their demographic, reproductive, genetic, and epidemiological factors. The breast cancer subtypes and the estrogen receptor (ER) +/- progesterone receptor (PR) +/- and human epidermal growth factor 2 (HER2) +/- status were determined. Single and multiple variable regularized regressions, with predictive factors as independent variables and breast cancer subtypes as dependent variables, were conducted.


Our cohort differed significantly from larger cohorts (e.g., the Breast Cancer Family Registry) in terms of age, menopause status, age at menarche, parity, education, oral contraceptive use, and breastfeeding, but the distribution of breast cancer subtypes was not significantly different. The subtype distribution in our cohort was also not different from that of another Turkish cohort. We found that the ER+ subtype was positively related to age/postmenopause, ER+/PR+ subtype was associated positively with age but negatively with cancer stage, and HER2+ subtype that negatively correlated with ER+ and ER+/PR+ was associated positively with cancer stage but negatively with age/postmenopause.


Assuming ER+ and ER+/PR+ to have better prognostic, HER+ to have worse prognostic, then older age and postmenopause seem to be beneficial, smoking and family history of cancer seem to be detrimental. Further steps include exploring potential biomarkers and using cure models to determine long-term breast cancer survivors.

Cite this article as: Ulgen A, Gürkut Ö, Li W. Potential Predictive Factors for Breast Cancer Subtypes from a North Cyprus Cohort Analysis. Cyprus J Med Sci 2020; 5(4): 339-49.

ISSN 2149-7893 EISSN 2536-507X