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Animal Models and Their Role in Imaging-Assisted Co-Clinical Trials.
Peehl, Donna M; Badea, Cristian T; Chenevert, Thomas L; Daldrup-Link, Heike E; Ding, Li; Dobrolecki, Lacey E; Houghton, A McGarry; Kinahan, Paul E; Kurhanewicz, John; Lewis, Michael T; Li, Shunqiang; Luker, Gary D; Ma, Cynthia X; Manning, H Charles; Mowery, Yvonne M; O'Dwyer, Peter J; Pautler, Robia G; Rosen, Mark A; Roudi, Raheleh; Ross, Brian D; Shoghi, Kooresh I; Sriram, Renuka; Talpaz, Moshe; Wahl, Richard L; Zhou, Rong.
Afiliação
  • Peehl DM; Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, USA.
  • Badea CT; Department of Radiology, Duke University Medical Center, Durham, NC 27710, USA.
  • Chenevert TL; Department of Radiology and the Center for Molecular Imaging, University of Michigan School of Medicine, Ann Arbor, MI 48109, USA.
  • Daldrup-Link HE; Molecular Imaging Program at Stanford (MIPS), Department of Radiology, Stanford University, Stanford, CA 94305, USA.
  • Ding L; Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA.
  • Dobrolecki LE; Advanced Technology Cores, Baylor College of Medicine, Houston, TX 77030, USA.
  • Houghton AM; Fred Hutchinson Cancer Center, Seattle, WA 98109, USA.
  • Kinahan PE; Department of Radiology, University of Washington, Seattle, WA 98105, USA.
  • Kurhanewicz J; Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, USA.
  • Lewis MT; Departments of Molecular and Cellular Biology and Radiology, Baylor College of Medicine, Houston, TX 77030, USA.
  • Li S; Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA.
  • Luker GD; Department of Radiology and the Center for Molecular Imaging, University of Michigan School of Medicine, Ann Arbor, MI 48109, USA.
  • Ma CX; Department of Microbiology and Immunology, University of Michigan School of Medicine, Ann Arbor, MI 48109, USA.
  • Manning HC; Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA.
  • Mowery YM; Department of Cancer Systems Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
  • O'Dwyer PJ; Department of Radiation Oncology, Duke University School of Medicine, Durham, NC 27708, USA.
  • Pautler RG; Department of Head and Neck Surgery & Communication Sciences, Duke University School of Medicine, Durham, NC 27708, USA.
  • Rosen MA; Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA 19104, USA.
  • Roudi R; Department of Integrative Physiology, Baylor College of Medicine, Houston, TX 77030, USA.
  • Ross BD; Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA 19104, USA.
  • Shoghi KI; Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA.
  • Sriram R; Molecular Imaging Program at Stanford (MIPS), Department of Radiology, Stanford University, Stanford, CA 94305, USA.
  • Talpaz M; Department of Radiology and the Center for Molecular Imaging, University of Michigan School of Medicine, Ann Arbor, MI 48109, USA.
  • Wahl RL; Department of Biological Chemistry, University of Michigan School of Medicine, Ann Arbor, MI 48109, USA.
  • Zhou R; Mallinckrodt Institute of Radiology (MIR), Washington University School of Medicine, St. Louis, MO 63110, USA.
Tomography ; 9(2): 657-680, 2023 03 16.
Article em En | MEDLINE | ID: mdl-36961012
The availability of high-fidelity animal models for oncology research has grown enormously in recent years, enabling preclinical studies relevant to prevention, diagnosis, and treatment of cancer to be undertaken. This has led to increased opportunities to conduct co-clinical trials, which are studies on patients that are carried out parallel to or sequentially with animal models of cancer that mirror the biology of the patients' tumors. Patient-derived xenografts (PDX) and genetically engineered mouse models (GEMM) are considered to be the models that best represent human disease and have high translational value. Notably, one element of co-clinical trials that still needs significant optimization is quantitative imaging. The National Cancer Institute has organized a Co-Clinical Imaging Resource Program (CIRP) network to establish best practices for co-clinical imaging and to optimize translational quantitative imaging methodologies. This overview describes the ten co-clinical trials of investigators from eleven institutions who are currently supported by the CIRP initiative and are members of the Animal Models and Co-clinical Trials (AMCT) Working Group. Each team describes their corresponding clinical trial, type of cancer targeted, rationale for choice of animal models, therapy, and imaging modalities. The strengths and weaknesses of the co-clinical trial design and the challenges encountered are considered. The rich research resources generated by the members of the AMCT Working Group will benefit the broad research community and improve the quality and translational impact of imaging in co-clinical trials.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Tipo de estudo: Diagnostic_studies / Guideline Limite: Animals / Humans Idioma: En Revista: Tomography Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Tipo de estudo: Diagnostic_studies / Guideline Limite: Animals / Humans Idioma: En Revista: Tomography Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos