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Leveraging big data of immune checkpoint blockade response identifies novel potential targets.
Bareche, Y; Kelly, D; Abbas-Aghababazadeh, F; Nakano, M; Esfahani, P N; Tkachuk, D; Mohammad, H; Samstein, R; Lee, C-H; Morris, L G T; Bedard, P L; Haibe-Kains, B; Stagg, J.
Afiliação
  • Bareche Y; Faculty of Pharmacy, Université de Montréal, Montreal, Canada; Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Institut du Cancer de Montréal, Montreal, Canada.
  • Kelly D; Princess Margaret Cancer Centre, University Health Network, Division of Medical Oncology and Hematology, Toronto, Canada.
  • Abbas-Aghababazadeh F; Princess Margaret Bioinformatics and Computational Genomics Laboratory, University Health Network, Toronto, Canada.
  • Nakano M; Princess Margaret Bioinformatics and Computational Genomics Laboratory, University Health Network, Toronto, Canada.
  • Esfahani PN; Princess Margaret Bioinformatics and Computational Genomics Laboratory, University Health Network, Toronto, Canada.
  • Tkachuk D; Princess Margaret Bioinformatics and Computational Genomics Laboratory, University Health Network, Toronto, Canada.
  • Mohammad H; Princess Margaret Bioinformatics and Computational Genomics Laboratory, University Health Network, Toronto, Canada.
  • Samstein R; Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, USA.
  • Lee CH; Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, USA.
  • Morris LGT; Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, USA.
  • Bedard PL; Princess Margaret Cancer Centre, University Health Network, Division of Medical Oncology and Hematology, Toronto, Canada.
  • Haibe-Kains B; Princess Margaret Bioinformatics and Computational Genomics Laboratory, University Health Network, Toronto, Canada; Princess Margaret Cancer Centre, University Health Network, Toronto, Canada; Department of Medical Biophysics, University of Toronto, Toronto, Canada; Department ofComputer Science, Un
  • Stagg J; Faculty of Pharmacy, Université de Montréal, Montreal, Canada; Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Institut du Cancer de Montréal, Montreal, Canada. Electronic address: john.stagg@umontreal.ca.
Ann Oncol ; 33(12): 1304-1317, 2022 12.
Article em En | MEDLINE | ID: mdl-36055464
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Receptor de Morte Celular Programada 1 / Neoplasias Tipo de estudo: Prognostic_studies / Systematic_reviews Limite: Animals / Humans Idioma: En Revista: Ann Oncol Assunto da revista: NEOPLASIAS Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Canadá
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Receptor de Morte Celular Programada 1 / Neoplasias Tipo de estudo: Prognostic_studies / Systematic_reviews Limite: Animals / Humans Idioma: En Revista: Ann Oncol Assunto da revista: NEOPLASIAS Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Canadá