Association between digital breast tomosynthesis and molecular subtypes of breast cancer

• Published in: Oncology letters Vol. 17; no. 3; pp. 2669 - 2676
• Main Authors: Cai, Siqing, Yao, Miaomiao, Cai, Donglu, Yan, Jianxiang, Huang, Meiling, Yan, Lisheng, Huang, Huirong
• Format: Journal Article
• Language: English
• Published: Greece Spandidos Publications 01-03-2019; Spandidos Publications UK Ltd; D.A. Spandidos
• Subjects: Analysis; Breast cancer; Calcification; Calcification (Physiology); Cancer patients; Cancer research; Classification; Diagnosis; Diagnostic imaging; Epidermal growth factor; Epidermal growth factors; Estrogens; Gene expression; Genetic aspects; Hormones; Immunohistochemistry; Lymphatic system; Mammography; Medical diagnosis; Medical imaging; Medical prognosis; Medical schools; Metastasis; Patients; Phenols (Class of compounds); Prevalence studies (Epidemiology); Progesterone; Sex hormones; Software; Standard deviation; Statistical analysis; Surgery; Tomosynthesis; Tumors; China; breast cancer molecular subtype; digital breast three-dimensional tomosynthesis; calcification; assistant diagnostic marker; lymph node
• ISSN: 1792-1074; 1792-1082
• DOI: 10.3892/ol.2019.9918

In recent years, with increasing prevalence, particularly in young patients, breast cancer is considered to be one of the most common malignancies. The aim of the present study was to evaluate the clinical value of digital breast tomosynthesis (DBT) in diagnosing molecular subtypes of breast cancer. The present study retrospectively analyzed 134 cases of breast cancer with data regarding surgery, complete pathology and immunohistochemistry, which were collected at The Second Clinical College of Fujian Medical University (Quanzhou, China) between May 2013 and October 2014. The patients were divided into the four following molecular subtypes: Luminal A, luminal B, triple-negative and human epidermal growth factor receptor 2 (HER-2) overexpression, according to the expression of estrogen receptor, progesterone hormone receptor, HER-2 and Ki67. The association between clinical characteristics of each molecular subtype and characteristics of DBT were assessed. Calcification scores and lymph node size were the indicators that exhibited a significant difference following comparison between the four molecular subtypes. The subgroup analysis based on tumor size, calcification scores and lymph node size identified a significant difference in the distribution between patients with breast cancer with lymph node size of ≥1.5 and <1.5 cm. The analysis also revealed that the molecular subtypes of breast cancer were significantly associated with variables of calcification scores and lymph node size. In conclusion, the diagnostic imaging features, including calcification score and lymph node size, determined using DBT could be used as assistant diagnostic markers of breast cancer molecular subtypes.