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Gene signatures predict biochemical recurrence-free survival in primary prostate cancer patients after radical therapy.
Su, Qiang; Liu, Zhenyu; Chen, Chi; Gao, Han; Zhu, Yongbei; Wang, Liusu; Pan, Meiqing; Liu, Jiangang; Yang, Xin; Tian, Jie.
Afiliação
  • Su Q; Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medicine and Engineering, Beihang University, Beijing, China.
  • Liu Z; Clinical Laboratory Medicine, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
  • Chen C; Beijing Key Laboratory of Urinary Cellular Molecular Diagnostics, Beijing, China.
  • Gao H; Key Laboratory of Big Data-Based Precision Medicine (Beihang University), Ministry of Industry and Information Technology, Beijing, China.
  • Zhu Y; CAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, the State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
  • Wang L; CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
  • Pan M; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China.
  • Liu J; Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medicine and Engineering, Beihang University, Beijing, China.
  • Yang X; Key Laboratory of Big Data-Based Precision Medicine (Beihang University), Ministry of Industry and Information Technology, Beijing, China.
  • Tian J; Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medicine and Engineering, Beihang University, Beijing, China.
Cancer Med ; 10(18): 6492-6502, 2021 09.
Article em En | MEDLINE | ID: mdl-34453418
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Próstata / Biomarcadores Tumorais / Nomogramas / Transcriptoma / Recidiva Local de Neoplasia Tipo de estudo: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans / Male Idioma: En Revista: Cancer Med Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China País de publicação: Estados Unidos
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Próstata / Biomarcadores Tumorais / Nomogramas / Transcriptoma / Recidiva Local de Neoplasia Tipo de estudo: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans / Male Idioma: En Revista: Cancer Med Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China País de publicação: Estados Unidos