Cancer Management and Research · 2018 · 29 citations · 20 references
MedicineOncologyPathologyBreast OncologyCancer EpidemiologyMolecular OncologyBreast PathologyDuctal Carcinoma In SituBreast Cancer HistologyBreast Cancer HistopathologyBreast Cancer Molecular SubtypesBreast Cancer Prevalence
BACKGROUND: To investigate the epidemiological features of breast cancer laterality and molecular subtypes in southern China. MATERIALS AND METHODS: A total of 2,049 cases who were diagnosed with unilateral breast cancer in the past 5 years were classified based on laterality and molecular subtypes. Molecular subtypes were defined in accordance with the 2013 St. Gallen recommendations. RESULTS: Breast cancer was more likely to be diagnosed in the left breast than in the right at a rate of around 5%. In the case of invasive carcinomas, the right breast was more commonly affected than the left in young (<40 years old) patients (left-to-right [L:R] ratio 0.80, 95% CI 0.65, 0.98), whereas the opposite trend was found in old (≥40 years old) patients (L:R ratio 1.06, 95% CI 1.02, 1.73). Except for invasive mucinous and invasive medullary breast cancers, the other histological types occurred more frequently on the left side than on the right. In situ cancer with a defined subtype was likely to be diagnosed as luminal B(HER-2+). Except for invasive medullary and invasive nonspecific cancers, other invasive carcinomas with a defined subtype were most likely to be diagnosed as luminal B(HER-2-). The age of ≥40 years was a risk factor for luminal B(HER-2+), and a significant correlation was present between the right breast and luminal B(HER-2+). CONCLUSION: We explored the risk factors of breast cancer laterality and various molecular subtypes and found that age may be a predictor of breast cancer laterality. We found that age and laterality are the probable risk factors of the luminal B(HER-2+) type of breast cancer. These results provide a basis for the epidemiological characterization of breast cancer.
20
Race, Breast Cancer Subtypes, and Survival in the Carolina Breast Cancer Study
Lisa A. Carey, Charles M. Perou, Chad Livasy et al. · JAMA · 2006 · 3.8K citations
Medicine, Biostatistics, Oncology +14