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Inflamed immune phenotype predicts favorable clinical outcomes of immune checkpoint inhibitor therapy across multiple cancer types.
Shen, Jeanne; Choi, Yoon-La; Lee, Taebum; Kim, Hyojin; Chae, Young Kwang; Dulken, Ben W; Bogdan, Stephanie; Huang, Maggie; Fisher, George A; Park, Sehhoon; Lee, Se-Hoon; Hwang, Jun-Eul; Chung, Jin-Haeng; Kim, Leeseul; Song, Heon; Pereira, Sergio; Shin, Seunghwan; Lim, Yoojoo; Ahn, Chang Ho; Kim, Seulki; Oum, Chiyoon; Kim, Sukjun; Park, Gahee; Song, Sanghoon; Jung, Wonkyung; Kim, Seokhwi; Bang, Yung-Jue; Mok, Tony S K; Ali, Siraj M; Ock, Chan-Young.
Afiliação
  • Shen J; Department of Pathology, Stanford University School of Medicine, Stanford, California, USA jeannes@stanford.edu ock.chanyoung@lunit.io.
  • Choi YL; Center for Artificial Intelligence in Medicine & Imaging, Stanford University, Stanford, California, USA.
  • Lee T; Department of Pathology and Translational Genomics, Sungkyunkwan University School of Medicine, Suwon, Korea (the Republic of).
  • Kim H; Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Korea (the Republic of).
  • Chae YK; Department of Pathology, Chonnam National University Medical School, Gwangju, Korea (the Republic of).
  • Dulken BW; Department of Pathology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Korea (the Republic of).
  • Bogdan S; Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
  • Huang M; Department of Pathology, Stanford University School of Medicine, Stanford, California, USA.
  • Fisher GA; Center for Artificial Intelligence in Medicine & Imaging, Stanford University, Stanford, California, USA.
  • Park S; UCLA Health, University of California, Los Angeles, Los Angeles, California, USA.
  • Lee SH; Department of Medicine, Stanford University School of Medicine, Stanford, California, USA.
  • Hwang JE; Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea (the Republic of).
  • Chung JH; Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea (the Republic of).
  • Kim L; Department of Internal Medicine, Chonnam National University Medical School, Gwangju, Korea (the Republic of).
  • Song H; Department of Pathology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Korea (the Republic of).
  • Pereira S; AMITA Health Saint Francis Hospital Evanston, Evanston, Illinois, USA.
  • Shin S; Lunit, Seoul, Korea (the Republic of).
  • Lim Y; Lunit, Seoul, Korea (the Republic of).
  • Ahn CH; Lunit, Seoul, Korea (the Republic of).
  • Kim S; Lunit, Seoul, Korea (the Republic of).
  • Oum C; Lunit, Seoul, Korea (the Republic of).
  • Kim S; Lunit, Seoul, Korea (the Republic of).
  • Park G; Lunit, Seoul, Korea (the Republic of).
  • Song S; Lunit, Seoul, Korea (the Republic of).
  • Jung W; Lunit, Seoul, Korea (the Republic of).
  • Kim S; Lunit, Seoul, Korea (the Republic of).
  • Bang YJ; Lunit, Seoul, Korea (the Republic of).
  • Mok TSK; Department of Pathology, Ajou University School of Medicine, Suwon, Korea (the Republic of).
  • Ali SM; Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea (the Republic of).
  • Ock CY; Department of Clinical Oncology, The Chinese University of Hong Kong, New Territories, Hong Kong.
J Immunother Cancer ; 12(2)2024 Feb 14.
Article em En | MEDLINE | ID: mdl-38355279
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Encefálicas / Inteligência Artificial Tipo de estudo: Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: J Immunother Cancer Ano de publicação: 2024 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Encefálicas / Inteligência Artificial Tipo de estudo: Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: J Immunother Cancer Ano de publicação: 2024 Tipo de documento: Article