title: Association Between Imaging Characteristics and Different Molecular Subtypes of Breast Cancer.
abstract: Breast cancer can be divided into four major molecular subtypes based on the expression of hormone receptor (estrogen receptor and progesterone receptor), human epidermal growth factor receptor 2, HER2 status, and molecular proliferation rate (Ki67). In this study, we sought to investigate the association between breast cancer subtype and radiological findings in the Chinese population.
  
  
  
  Medical records of 300 consecutive invasive breast cancer patients were reviewed from the database: the Breast Imaging Reporting and Data System. The imaging characteristics of the lesions were evaluated. The molecular subtypes of breast cancer were classified into four types: luminal A, luminal B, HER2 overexpressed (HER2), and basal-like breast cancer (BLBC). Univariate and multivariate logistic regression analyses were performed to assess the association between the subtype (dependent variable) and mammography or 15 magnetic resonance imaging (MRI) indicators (independent variables).
  
  
  
  Luminal A and B subtypes were commonly associated with "clustered calcification distribution," "nipple invasion," or "skin invasion" (P <0.05). The BLBC subtype was more commonly associated with "rim enhancement" and persistent inflow type enhancement in delayed phase (P <0.05). HER2 overexpressed cancers showed association with persistent enhancement in the delayed phase on MRI and "clustered calcification distribution" on mammography (P <0.05).
  
  
  
  Certain radiological features are strongly associated with the molecular subtype and hormone receptor status of breast tumor, which are potentially useful tools in the diagnosis and subtyping of breast cancer.
authors.affiliation: Department of Radiology, Shenzhen People's Hospital, No.1017 Dongmen North Road, Luohu District, Shenzhen 518020, China.
authors.forename: Mingxiang
authors.initials: M
authors.lastname: Wu
authors.affiliation: Department of Radiology, Shenzhen People's Hospital, No.1017 Dongmen North Road, Luohu District, Shenzhen 518020, China. Electronic address: 1798045437@qq.com.
authors.forename: Jie
authors.initials: J
authors.lastname: Ma
mesh_terms: D000328:Adult; D000368:Aged; D001940:Breast / Q000000981:diagnostic imaging / Q000473:pathology; D001943:Breast Neoplasms / Q000145:classification / Q000453:epidemiology / Q000378:metabolism / Q000473:pathology; D002681:China / Q000453:epidemiology; D005260:Female; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008327:Mammography / Q000379:methods*; D008875:Middle Aged; D009361:Neoplasm Invasiveness; D009367:Neoplasm Staging; D018719:Erb-b2 Receptor Tyrosine Kinases / Q000032:analysis / Q000378:metabolism; D011960:Receptors, Estrogen / Q000032:analysis / Q000378:metabolism; D011980:Receptors, Progesterone / Q000032:analysis / Q000378:metabolism; D013223:Statistics as Topic
chemical_list: D018719:Erb-b2 Receptor Tyrosine Kinases; D011960:Receptors, Estrogen; D011980:Receptors, Progesterone; C508053:ERBB2 protein, human
keywords: MRI; Subtype; multivariate logistic regression analysis