Ontology highlight
ABSTRACT:
SUBMITTER: Meehan TF
PROVIDER: S-EPMC5738926 | biostudies-literature | 2017 Nov
REPOSITORIES: biostudies-literature
Meehan Terrence F TF Conte Nathalie N Goldstein Theodore T Inghirami Giorgio G Murakami Mark A MA Brabetz Sebastian S Gu Zhiping Z Wiser Jeffrey A JA Dunn Patrick P Begley Dale A DA Krupke Debra M DM Bertotti Andrea A Bruna Alejandra A Brush Matthew H MH Byrne Annette T AT Caldas Carlos C Christie Amanda L AL Clark Dominic A DA Dowst Heidi H Dry Jonathan R JR Doroshow James H JH Duchamp Olivier O Evrard Yvonne A YA Ferretti Stephane S Frese Kristopher K KK Goodwin Neal C NC Greenawalt Danielle D Haendel Melissa A MA Hermans Els E Houghton Peter J PJ Jonkers Jos J Kemper Kristel K Khor Tin O TO Lewis Michael T MT Lloyd K C Kent KCK Mason Jeremy J Medico Enzo E Neuhauser Steven B SB Olson James M JM Peeper Daniel S DS Rueda Oscar M OM Seong Je Kyung JK Trusolino Livio L Vinolo Emilie E Wechsler-Reya Robert J RJ Weinstock David M DM Welm Alana A Weroha S John SJ Amant Frédéric F Pfister Stefan M SM Kool Marcel M Parkinson Helen H Butte Atul J AJ Bult Carol J CJ
Cancer research 20171101 21
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 ...[more]