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Robust prognostic model based on immune infiltration-related genes and clinical information in ovarian cancer.
Zhang, Xi; Kong, Weikaixin; Gao, Miaomiao; Huang, Weiran; Peng, Chao; Huang, Zhuo; Xie, Zhengwei; Guo, Hongyan.
Afiliación
  • Zhang X; Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China.
  • Kong W; Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland.
  • Gao M; Institute Sanqu Technology (Hangzhou) Co., Ltd., Hangzhou, China.
  • Huang W; Department of Pharmacology, School of Basic Medical Sciences, Peking University, Beijing, China.
  • Peng C; Department of Molecular and Cellular Pharmacology, School of Pharmaceutical Sciences, Peking University Health Science Center, Beijing, China.
  • Huang Z; Department of Molecular and Cellular Pharmacology, School of Pharmaceutical Sciences, Peking University Health Science Center, Beijing, China.
  • Xie Z; Department of Molecular and Cellular Pharmacology, School of Pharmaceutical Sciences, Peking University Health Science Center, Beijing, China.
  • Guo H; Peking University International Cancer Institute and Department of Pharmacology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China.
J Cell Mol Med ; 26(13): 3659-3674, 2022 07.
Article en En | MEDLINE | ID: mdl-35735060
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Neoplasias Ováricas / Biomarcadores de Tumor Tipo de estudio: Prognostic_studies Idioma: En Revista: J Cell Mol Med Asunto de la revista: BIOLOGIA MOLECULAR Año: 2022 Tipo del documento: Article
Texto completo
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Neoplasias Ováricas / Biomarcadores de Tumor Tipo de estudio: Prognostic_studies Idioma: En Revista: J Cell Mol Med Asunto de la revista: BIOLOGIA MOLECULAR Año: 2022 Tipo del documento: Article