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The Expression, Clinicopathologic Characteristics, and Prognostic Value of Androgen Receptor in Breast Cancer: A Bioinformatics Analysis Using Public Databases.
Fu, Wen-Fen; Li, Juan-Juan; Kang, Shao-Hong; Song, Chuan-Gui.
Afiliação
  • Fu WF; Department of Breast Surgery, Affiliated Union Hospital, Fujian Medical University, Fuzhou, China.
  • Li JJ; Department of Breast and Thyroid Surgery, Renmin Hospital of Wuhan University, Wuhan, China.
  • Kang SH; Department of Breast Surgery, Affiliated Union Hospital, Fujian Medical University, Fuzhou, China.
  • Song CG; Department of Breast Surgery, Affiliated Union Hospital, Fujian Medical University, Fuzhou, China.
DNA Cell Biol ; 39(5): 864-874, 2020 May.
Article em En | MEDLINE | ID: mdl-32181676
The role of androgen receptor (AR) in breast cancer has been unveiled in succession for the past few years. In this study, we conducted a comprehensive analysis based on four online public databases of data from many previous studies. We found that the expression of AR is significantly related to age, histological grade, and subtype but not to lymph node status. The low expression level of AR is strongly associated with poor recurrence-free survival, especially with poor distance metastasis-free survival in luminal A patients, but inverse in HER2 (human epidermal growth factor receptor-2) enriched patients. AR might be a biomarker of chemosensitivity in the basal subtype. Besides, the expression of melanophilin (MLPH) is distinctly in accordance with that of AR. AR could play diverse roles in different subtypes of breast cancer.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Receptores Androgênicos / Biologia Computacional / Bases de Dados Genéticas Tipo de estudo: Prognostic_studies Limite: Female / Humans / Middle aged Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Receptores Androgênicos / Biologia Computacional / Bases de Dados Genéticas Tipo de estudo: Prognostic_studies Limite: Female / Humans / Middle aged Idioma: En Ano de publicação: 2020 Tipo de documento: Article