Your browser doesn't support javascript.
loading
Biological markers of invasive breast cancer.
Matsumoto, Akiko; Jinno, Hiromitsu; Ando, Tomofumi; Fujii, Taku; Nakamura, Tetsuya; Saito, Junichi; Takahashi, Maiko; Hayashida, Tetsu; Kitagawa, Yuko.
Afiliação
  • Matsumoto A; Department of Surgery, Keio University School of Medicine, Tokyo Department of Surgery, Inagi Municipal Hospital, Tokyo.
  • Jinno H; Department of Surgery, Teikyo University School of Medicine, Tokyo, Japan jinnoh@dd.iij4u.or.jp.
  • Ando T; Department of Surgery, Inagi Municipal Hospital, Tokyo.
  • Fujii T; Department of Surgery, Inagi Municipal Hospital, Tokyo.
  • Nakamura T; Department of Surgery, Inagi Municipal Hospital, Tokyo.
  • Saito J; Department of Surgery, Inagi Municipal Hospital, Tokyo.
  • Takahashi M; Department of Surgery, Keio University School of Medicine, Tokyo.
  • Hayashida T; Department of Surgery, Keio University School of Medicine, Tokyo.
  • Kitagawa Y; Department of Surgery, Keio University School of Medicine, Tokyo.
Jpn J Clin Oncol ; 46(2): 99-105, 2016 Feb.
Article em En | MEDLINE | ID: mdl-26486826
ABSTRACT
Biological markers for breast cancer are biomolecules that result from cancer-related processes and are associated with particular clinical outcomes; they thus help predict responses to therapy. In recent years, gene expression profiling has made the molecular classification of breast cancer possible. Classification of breast cancer by immunohistochemical expression of estrogen receptor, progesterone receptor, human epidermal growth factor receptor 2 and Ki-67 is standard practice for clinical decision-making. Assessments of hormone receptor expression and human epidermal growth factor receptor 2 overexpression help estimate benefits from targeted therapies and have greatly improved prognoses for women with these breast cancer types. Although Ki-67 positivity is associated with an adverse outcome, its clear identification is an aid to optimal disease management. Standardization of testing methodology to minimize inter-laboratory measurement variations is a remaining issue. Multi-gene assays provide prognostic information and identify those most likely to benefit from systemic chemotherapy. Incorporating molecular profiles with conventional pathological classification would be more precise, and could enhance the clinical development of personalized therapy in breast cancer.
Assuntos
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Biomarcadores Tumorais / Carcinoma Ductal de Mama / Perfilação da Expressão Gênica Tipo de estudo: Prognostic_studies Limite: Female / Humans Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Biomarcadores Tumorais / Carcinoma Ductal de Mama / Perfilação da Expressão Gênica Tipo de estudo: Prognostic_studies Limite: Female / Humans Idioma: En Ano de publicação: 2016 Tipo de documento: Article