Authors:
TF Meehan, N Conte, T Goldstein, G Inghirami, MA Murakami, S Brabetz, Z Gu, JA Wiser, P Dunn, DA Begley, DM Krupke, A Bertotti, A Bruna, MH Brush, AT Byrne, C Caldas, AL Christie, DA Clark, H Dowst, JR Dry, JH Doroshow, O Duchamp, YA Evrard, S Ferretti, KK Frese, NC Goodwin, D Greenawalt, MA Haendel, E Hermans, PJ Houghton, J Jonkers, K Kemper, TO Khor, MT Lewis, KCK Lloyd, J Mason, E Medico, SB Neuhauser, JM Olson, DS Peeper, OM Rueda, JK Seong, L Trusolino, E Vinolo, RJ Wechsler-Reya, DM Weinstock, A Welm, SJ Weroha, F Amant, SM Pfister, M Kool, H Parkinson, AJ Butte, CJ Bult
Journal name: 
Cancer Res
Citation info: 
77(21):e62-e66
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.
DOI: 
http://doi.org/10.1158/0008-5472.CAN-17-0582
Research group: 
Caldas Group
E-pub date: 
01 Nov 2017