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B-Cell Lymphoma Patient-Derived Xenograft Models Enable Drug Discovery and Are a Platform for Personalized Therapy.
Zhang, Leo; Nomie, Krystle; Zhang, Hui; Bell, Taylor; Pham, Lan; Kadri, Sabah; Segal, Jeremy; Li, Shaoying; Zhou, Shouhao; Santos, David; Richard, Shawana; Sharma, Shruti; Chen, Wendy; Oriabure, Onyekachukwu; Liu, Yang; Huang, Shengjian; Guo, Hui; Chen, Zhihong; Tao, Wenjing; Li, Carrie; Wang, Jack; Fang, Bingliang; Wang, Jacqueline; Li, Lei; Badillo, Maria; Ahmed, Makhdum; Thirumurthi, Selvi; Huang, Steven Y; Shao, Yiping; Lam, Laura; Yi, Qing; Wang, Y Lynn; Wang, Michael.
Afiliação
  • Zhang L; Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Nomie K; Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Zhang H; Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Bell T; Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Pham L; Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Kadri S; Divison of Genomic and Molecular Pathology, Department of Pathology, The University of Chicago, Chicago, Illinois.
  • Segal J; Divison of Genomic and Molecular Pathology, Department of Pathology, The University of Chicago, Chicago, Illinois.
  • Li S; Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Zhou S; Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Santos D; Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Richard S; Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Sharma S; Divison of Genomic and Molecular Pathology, Department of Pathology, The University of Chicago, Chicago, Illinois.
  • Chen W; Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Oriabure O; Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Liu Y; Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Huang S; Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Guo H; Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Chen Z; Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Tao W; Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Li C; Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Wang J; Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Fang B; Department of Thoracic Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Wang J; Department of Thoracic Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Li L; Department of Experimental Radiation Oncology, Division of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Badillo M; Department of Genetics, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Ahmed M; Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Thirumurthi S; Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Huang SY; Department of Gastroenterology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Shao Y; Department of Interventional Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Lam L; Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Yi Q; Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Wang YL; Department of Cancer Biology, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio.
  • Wang M; Divison of Genomic and Molecular Pathology, Department of Pathology, The University of Chicago, Chicago, Illinois.
Clin Cancer Res ; 23(15): 4212-4223, 2017 Aug 01.
Article em En | MEDLINE | ID: mdl-28348046
Purpose: Patients with B-cell lymphomas often relapse after frontline therapy, and novel therapies are urgently needed to provide long-term remission. We established B-cell lymphoma patient-derived xenograft (PDX) models to assess their ability to mimic tumor biology and to identify B-cell lymphoma patient treatment options.Experimental Design: We established the PDX models from 16 patients with diffuse large B-cell lymphoma, mantle cell lymphoma, follicular lymphoma, marginal zone lymphoma, or Burkitt lymphoma by inoculating the patient tumor cells into a human bone chip implanted into mice. We subjected the PDX models to histopathologic and phenotypical examination, sequencing, and drug efficacy analysis. Primary and acquired resistance to ibrutinib, an oral covalent inhibitor of Bruton tyrosine kinase, were investigated to elucidate the mechanisms underlying ibrutinib resistance and to identify drug treatments to overcome resistance.Results: The PDXs maintained the same biological, histopathologic, and immunophenotypical features, retained similar genetic mutations, and produced comparable drug responses with the original patient tumors. In the acquired ibrutinib-resistant PDXs, PLC-γ2, p65, and Src were downregulated; however, a PI3K signaling pathway member was upregulated. Inactivation of the PI3K pathway with the inhibitor idelalisib in combination with ibrutinib significantly inhibited the growth of the ibrutinib-resistant tumors. Furthermore, we used a PDX model derived from a clinically ibrutinib-relapsed patient to evaluate various therapeutic choices, ultimately eliminating the tumor cells in the patient's peripheral blood.Conclusions: Our results demonstrate that the B-cell lymphoma PDX model is an effective system to predict and personalize therapies and address therapeutic resistance in B-cell lymphoma patients. Clin Cancer Res; 23(15); 4212-23. ©2017 AACR.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Pirazóis / Pirimidinas / Proteínas Tirosina Quinases / Linfoma Difuso de Grandes Células B / Inibidores de Proteínas Quinases Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Pirazóis / Pirimidinas / Proteínas Tirosina Quinases / Linfoma Difuso de Grandes Células B / Inibidores de Proteínas Quinases Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2017 Tipo de documento: Article