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Predictive mutation signature of immunotherapy benefits in NSCLC based on machine learning algorithms.
Liu, Zhichao; Lin, Guo; Yan, Zeping; Li, Linduo; Wu, Xingchen; Shi, Jingrong; He, Jianxing; Zhao, Lei; Liang, Hengrui; Wang, Wei.
Afiliação
  • Liu Z; Department of Thoracic Oncology, The First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China.
  • Lin G; Department of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Yan Z; Department of Thoracic Oncology, The First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China.
  • Li L; Department of Thoracic Oncology, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China.
  • Wu X; Department of Thoracic Oncology, The First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China.
  • Shi J; College of Engineering, Northeastern University, Boston, MA, United States.
  • He J; Department of Thoracic Oncology, The First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China.
  • Zhao L; Tianpeng Technology Co. Ltd, Guangzhou, China.
  • Liang H; Department of Thoracic Oncology, The First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China.
  • Wang W; Department of Physiology, School of Basic Medical Sciences, Guangzhou Medical University, Guangzhou, China.
Front Immunol ; 13: 989275, 2022.
Article em En | MEDLINE | ID: mdl-36238300

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Carcinoma Pulmonar de Células não Pequenas / Neoplasias Pulmonares Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Front Immunol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Carcinoma Pulmonar de Células não Pequenas / Neoplasias Pulmonares Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Front Immunol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China