Meehan Terrence F, Conte Nathalie, Goldstein Theodore, Inghirami Giorgio, 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
European Molecular Biology Laboratory-European Bioinformatics Institute, Hinxton, United Kingdom.
Institute for Computational Health Sciences, University of California, San Francisco, California.
Cancer Res. 2017 Nov 1;77(21):e62-e66. doi: 10.1158/0008-5472.CAN-17-0582.
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. .
患者来源的肿瘤异种移植（PDX）小鼠模型已成为一个重要的肿瘤学研究平台，用于研究肿瘤演变、药物反应和耐药机制，以及为个体患者量身定制化疗方法。缺乏关于PDX模型报告的有力标准，阻碍了研究人员查找相关PDX模型及相关数据的能力。在此，我们提出了用于报告PDX模型的生成、质量保证及使用情况的PDX模型最小信息标准（PDX-MI）。PDX-MI定义了描述患者肿瘤临床特征、肿瘤在宿主小鼠品系中的植入和传代过程、质量保证方法以及PDX模型在癌症研究中的使用所需的最小信息。遵循PDX-MI标准将有助于在分布式存储库数据库中准确搜索肿瘤学模型及其相关数据，并促进使用这些模型的研究的可重复性。
