Abstract
Background: Breast cancer is diverse regarding its natural history and treatment responses. The traditional histopathological classification is unable to confine this diverse clinical heterogeneity. Classically, prognosis and treatment response are influenced by factors as histological grade, lymph node status, type and size of tumor. Recently, research has diverted from histological classification towards molecular classification.
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