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Identification and evaluation of a risk model predicting the prognosis of breast cancer based on characteristic signatures.
Ying, Yu; Yang, Meifeng; Chen, Jiaying; Yao, Chang; Bian, Weihe; Wang, Cong; Ye, Bei; Shen, Tong; Guo, Mengmeng; Zhang, Xiping; Cao, Sihan; Ma, Chaoqun.
Afiliação
  • Ying Y; Department of Breast Surgery, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, China.
  • Yang M; The First Clinical School, Nanjing University of Chinese Medicine, Nanjing, China.
  • Chen J; Department of Rehabilitation, Children's Hospital of Nanjing Medical University, Nanjing, China.
  • Yao C; The First Clinical School, Nanjing University of Chinese Medicine, Nanjing, China.
  • Bian W; Department of Breast Surgery, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, China.
  • Wang C; Department of Breast Surgery, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, China.
  • Ye B; Department of Breast Surgery, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, China.
  • Shen T; Department of Breast Surgery, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, China.
  • Guo M; Department of General Surgery, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, China.
  • Zhang X; Department of Breast Surgery, Nantong Hospital of Traditional Chinese Medicine, Nantong, China.
  • Cao S; The First Clinical School, Nanjing University of Chinese Medicine, Nanjing, China.
  • Ma C; The First Clinical School, Nanjing University of Chinese Medicine, Nanjing, China.
Transl Cancer Res ; 12(6): 1441-1451, 2023 Jun 30.
Article em En | MEDLINE | ID: mdl-37434687

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Transl Cancer Res Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Transl Cancer Res Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China