PDX-MI: Minimal Information for Patient-Derived Tumor Xenograft Models. Academic Article uri icon

Overview

abstract

  • Patient-derived tumor xenograft (PDX) mouse models have emerged as an important oncology research platform to study tumor evolution, mechanisms of drug response and resistance, and tailoring chemotherapeutic approaches for individual patients. The lack of robust standards for reporting on PDX models has hampered the ability of researchers to find relevant PDX models and associated data. Here we present the PDX models minimal information standard (PDX-MI) for reporting on the generation, quality assurance, and use of PDX models. PDX-MI defines the minimal information for describing the clinical attributes of a patient's tumor, the processes of implantation and passaging of tumors in a host mouse strain, quality assurance methods, and the use of PDX models in cancer research. Adherence to PDX-MI standards will facilitate accurate search results for oncology models and their associated data across distributed repository databases and promote reproducibility in research studies using these models. Cancer Res; 77(21); e62-66. ©2017 AACR.

authors

  • Meehan, Terrence F
  • Conte, Nathalie
  • Goldstein, Theodore
  • Inghirami, Giorgio Ga.
  • Murakami, Mark A
  • Brabetz, Sebastian
  • Gu, Zhiping
  • Wiser, Jeffrey A
  • Dunn, Patrick
  • Begley, Dale A
  • Krupke, Debra M
  • Bertotti, Andrea
  • Bruna, Alejandra
  • Brush, Matthew H
  • Byrne, Annette T
  • Caldas, Carlos
  • Christie, Amanda L
  • Clark, Dominic A
  • Dowst, Heidi
  • Dry, Jonathan R
  • Doroshow, James H
  • Duchamp, Olivier
  • Evrard, Yvonne A
  • Ferretti, Stephane
  • Frese, Kristopher K
  • Goodwin, Neal C
  • Greenawalt, Danielle
  • Haendel, Melissa A
  • Hermans, Els
  • Houghton, Peter J
  • Jonkers, Jos
  • Kemper, Kristel
  • Khor, Tin O
  • Lewis, Michael T
  • Lloyd, K C Kent
  • Mason, Jeremy
  • Medico, Enzo
  • Neuhauser, Steven B
  • Olson, James M
  • Peeper, Daniel S
  • Rueda, Oscar M
  • Seong, Je Kyung
  • Trusolino, Livio
  • Vinolo, Emilie
  • Wechsler-Reya, Robert J
  • Weinstock, David M
  • Welm, Alana
  • Weroha, S John
  • Amant, Frédéric
  • Pfister, Stefan M
  • Kool, Marcel
  • Parkinson, Helen
  • Butte, Atul J
  • Bult, Carol J

publication date

  • November 1, 2017

Research

keywords

  • Neoplasms
  • Xenograft Model Antitumor Assays

Identity

PubMed Central ID

  • PMC5738926

Scopus Document Identifier

  • 85035038681

Digital Object Identifier (DOI)

  • 10.1038/nrclinonc.2012.61

PubMed ID

  • 29092942

Additional Document Info

volume

  • 77

issue

  • 21