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Estrogen receptor-positive breast cancer molecular signatures and therapeutic potentials (Review).
Zhang, Mei Hong; Man, Hong Tao; Zhao, Xiao Dan; Dong, Ni; Ma, Shi Liang.
Afiliação
  • Zhang MH; College of Biological Science and Biotechnology, Shenyang Agricultural University, Shenyang, Liaoning 110866, P.R. China.
  • Man HT; College of Biological Science and Biotechnology, Shenyang Agricultural University, Shenyang, Liaoning 110866, P.R. China.
  • Zhao XD; College of Biological Science and Biotechnology, Shenyang Agricultural University, Shenyang, Liaoning 110866, P.R. China.
  • Dong N; College of Biological Science and Biotechnology, Shenyang Agricultural University, Shenyang, Liaoning 110866, P.R. China.
  • Ma SL; College of Biological Science and Biotechnology, Shenyang Agricultural University, Shenyang, Liaoning 110866, P.R. China.
Biomed Rep ; 2(1): 41-52, 2014 Jan.
Article em En | MEDLINE | ID: mdl-24649067
In this review, the advances in the study of breast cancer molecular classifications and the molecular signatures of the luminal subtypes A and B of breast cancer were summarized. Effective clinical outcomes depend mainly on successful preclinical diagnosis and therapeutic decisions. Over the last few years, the ever-expanding investigations focusing on breast cancer diagnosis and the clinical trials have provided accumulating information on the molecular characteristics of breast cancer. Specifically, among the estrogen receptor (ER)-positive types of breast cancer, the luminal subtype A breast cancer has been shown to exhibit good clinical outcomes with endocrine therapy, whereas the luminal subtype B breast cancer represents the more complicated type, diagnostically as well as therapeutically. Furthermore, even in luminal subtype A breast cancer, the resistance to treatment has become the major limitation for endocrine-based therapy. Accumulating molecular data and further clinical trials may enable more accurate diagnostic and therapeutic decisions. The molecular signatures have emerged as a powerful tool for future diagnosis and therapeutic decisions, although currently available data are limited.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2014 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2014 Tipo de documento: Article