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Breast cancer patient-derived whole-tumor cell culture model for efficient drug profiling and treatment response prediction.
Chen, Xinsong; Sifakis, Emmanouil G; Robertson, Stephanie; Neo, Shi Yong; Jun, Seong-Hwan; Tong, Le; Hui Min, Apple Tay; Lövrot, John; Hellgren, Roxanna; Margolin, Sara; Bergh, Jonas; Foukakis, Theodoros; Lagergren, Jens; Lundqvist, Andreas; Ma, Ran; Hartman, Johan.
Afiliación
  • Chen X; Department of Oncology-Pathology, Karolinska Institutet, Stockholm 17164, Sweden.
  • Sifakis EG; Department of Oncology-Pathology, Karolinska Institutet, Stockholm 17164, Sweden.
  • Robertson S; Department of Oncology-Pathology, Karolinska Institutet, Stockholm 17164, Sweden.
  • Neo SY; Department of Clinical Pathology and Cancer Diagnostics, Karolinska University Hospital, Stockholm 17176, Sweden.
  • Jun SH; Department of Oncology-Pathology, Karolinska Institutet, Stockholm 17164, Sweden.
  • Tong L; Department of Computational Biology, Royal Institute of Technology, Science for Life Laboratory, Stockholm 17165, Sweden.
  • Hui Min AT; Department of Oncology-Pathology, Karolinska Institutet, Stockholm 17164, Sweden.
  • Lövrot J; Department of Oncology-Pathology, Karolinska Institutet, Stockholm 17164, Sweden.
  • Hellgren R; School of Biological Sciences, Nanyang Technological University, Singapore 637551.
  • Margolin S; Department of Oncology-Pathology, Karolinska Institutet, Stockholm 17164, Sweden.
  • Bergh J; Department of Breast Imaging, Södersjukhuset, Stockholm 11828, Sweden.
  • Foukakis T; Department of Clinical Science and Education, Södersjukhuset, Karolinska Institutet, Stockholm 11883, Sweden.
  • Lagergren J; Department of Oncology-Pathology, Karolinska Institutet, Stockholm 17164, Sweden.
  • Lundqvist A; Breast Center, Theme Cancer, Karolinska University Hospital, Stockholm 17176, Sweden.
  • Ma R; Department of Oncology-Pathology, Karolinska Institutet, Stockholm 17164, Sweden.
  • Hartman J; Breast Center, Theme Cancer, Karolinska University Hospital, Stockholm 17176, Sweden.
Proc Natl Acad Sci U S A ; 120(1): e2209856120, 2023 01 03.
Article en En | MEDLINE | ID: mdl-36574653
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Antineoplásicos Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Female / Humans Idioma: En Revista: Proc Natl Acad Sci U S A Año: 2023 Tipo del documento: Article País de afiliación: Suecia
Texto completo
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Antineoplásicos Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Female / Humans Idioma: En Revista: Proc Natl Acad Sci U S A Año: 2023 Tipo del documento: Article País de afiliación: Suecia