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Correlation analysis between mammographic features and different molecular subtypes of breast cancer / 实用放射学杂志
Journal of Practical Radiology ; (12): 1851-1854,1862, 2017.
Artigo em Chinês | WPRIM (Pacífico Ocidental) | ID: wpr-664056
Biblioteca responsável: WPRO
ABSTRACT
Objective To investigate the correlation between mammographic findings and different molecular subtypes of breast cancer.Methods Totally 84 patients with breast cancer proved pathologically who underwent digital mammography examination before operation were enrolled.All cases were examined by immunohistochemical staining,the expression levels of estrogen receptor(ER),progesterone receptor (PR)and human epidermal growth factor receptor-2(HER-2)in tumor cells were analyzed.They were classified into four molecular subtypesLuminal A,Luminal B,HER-2 + and Basal-like tumors according to their expression levels.The correlation between mammographic findings and different molecular subtypes of breast cancer were analyzed.Results Among the 84 cases of breast cancer,there were significant differences between mass shadow and mass shape in the four subtypes of tumors(P<0.05).Luminal A,Luminal B breast cancer showed more irregular edge of the tumor;HER-2 + breast cancer with more malignant calcifications,of which simple calcifications of breast cancer were more;Basal-like breast cancer with regular shape,clear border shadow,rarely accompanied by malignant calcifications.Conclusion Mammographic features of breast cancer can predict its molecular subtypes to some extent,which can provide objective basis for the selection of clinical preoperative treatment protocols.

Texto completo: Disponível Base de dados: WPRIM (Pacífico Ocidental) Tipo de estudo: Guia de prática clínica / Estudo prognóstico Idioma: Chinês Revista: Journal of Practical Radiology Ano de publicação: 2017 Tipo de documento: Artigo
Texto completo: Disponível Base de dados: WPRIM (Pacífico Ocidental) Tipo de estudo: Guia de prática clínica / Estudo prognóstico Idioma: Chinês Revista: Journal of Practical Radiology Ano de publicação: 2017 Tipo de documento: Artigo
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