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Personalized Management of Pancreatic Ductal Adenocarcinoma Patients through Computational Modeling.
Yamamoto, Kimiyo N; Yachida, Shinichi; Nakamura, Akira; Niida, Atsushi; Oshima, Minoru; De, Subhajyoti; Rosati, Lauren M; Herman, Joseph M; Iacobuzio-Donahue, Christine A; Haeno, Hiroshi.
Afiliação
  • Yamamoto KN; Department of Biology, Kyushu University, Fukuoka, Japan. kimiyo@jimmy.harvard.edu kyamamoto@kyushu-u.org haeno@kyushu-u.org.
  • Yachida S; Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, Massachusetts.
  • Nakamura A; Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.
  • Niida A; Departments of General and Gastroenterological Surgery, Osaka Medical College Hospital, Osaka, Japan.
  • Oshima M; Division of Cancer Genomics, National Cancer Center Research Institute, Tokyo, Japan.
  • De S; Department of Radiation Oncology, Massachusetts General Hospital, Boston, Massachusetts.
  • Rosati LM; Division of Health Medical Computational Science, Health Intelligence Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan.
  • Herman JM; Department of Gastroenterological Surgery, Kagawa University, Kagawa, Japan.
  • Iacobuzio-Donahue CA; Department of Biostatistics and Informatics, University of Colorado School of Medicine, Colorado.
  • Haeno H; Department of Radiation Oncology & Molecular Radiation Sciences, The Johns Hopkins University School of Medicine, Baltimore, Maryland.
Cancer Res ; 77(12): 3325-3335, 2017 06 15.
Article em En | MEDLINE | ID: mdl-28381541

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Pancreáticas / Carcinoma Ductal Pancreático / Medicina de Precisão / Transcriptoma / Modelos Teóricos Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Pancreáticas / Carcinoma Ductal Pancreático / Medicina de Precisão / Transcriptoma / Modelos Teóricos Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2017 Tipo de documento: Article