PDX-MI: Minimal Information for Patient-Derived Tumor Xenograft Models.
Fiche publication
Date publication
novembre 2017
Journal
Cancer research
Auteurs
Membres identifiés du Cancéropôle Est :
Dr DUCHAMP Olivier
Tous les auteurs :
Meehan TF, Conte N, Goldstein T, Inghirami G, Murakami MA, Brabetz S, Gu Z, Wiser JA, Dunn P, Begley DA, Krupke DM, Bertotti A, Bruna A, Brush MH, Byrne AT, Caldas C, Christie AL, Clark DA, Dowst H, Dry JR, Doroshow JH, Duchamp O, Evrard YA, Ferretti S, Frese KK, Goodwin NC, Greenawalt D, Haendel MA, Hermans E, Houghton PJ, Jonkers J, Kemper K, Khor TO, Lewis MT, Lloyd KCK, Mason J, Medico E, Neuhauser SB, Olson JM, Peeper DS, Rueda OM, Seong JK, Trusolino L, Vinolo E, Wechsler-Reya RJ, Weinstock DM, Welm A, Weroha SJ, Amant F, Pfister SM, Kool M, Parkinson H, Butte AJ, Bult CJ
Lien Pubmed
Résumé
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. .
Mots clés
Animals, Databases as Topic, Disease Models, Animal, Humans, Mice, Neoplasms, drug therapy, Patients, Xenograft Model Antitumor Assays, statistics & numerical data
Référence
Cancer Res.. 2017 11 1;77(21):e62-e66