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000130888 1001_ $$aMeehan, Terrence F$$b0
000130888 245__ $$aPDX-MI: Minimal Information for Patient-Derived Tumor Xenograft Models.
000130888 260__ $$aPhiladelphia, Pa.$$bAACR$$c2017
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000130888 520__ $$aPatient-derived tumor xenograft (PDX) mouse models have emerged as an important oncology research platform to study tumor evolution, mechanisms of drug response and resistance, and tailoring chemotherapeutic approaches for individual patients. The lack of robust standards for reporting on PDX models has hampered the ability of researchers to find relevant PDX models and associated data. Here we present the PDX models minimal information standard (PDX-MI) for reporting on the generation, quality assurance, and use of PDX models. PDX-MI defines the minimal information for describing the clinical attributes of a patient's tumor, the processes of implantation and passaging of tumors in a host mouse strain, quality assurance methods, and the use of PDX models in cancer research. Adherence to PDX-MI standards will facilitate accurate search results for oncology models and their associated data across distributed repository databases and promote reproducibility in research studies using these models. Cancer Res; 77(21); e62-66. ©2017 AACR.
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000130888 7001_ $$aConte, Nathalie$$b1
000130888 7001_ $$aGoldstein, Theodore$$b2
000130888 7001_ $$aInghirami, Giorgio$$b3
000130888 7001_ $$aMurakami, Mark A$$b4
000130888 7001_ $$0P:(DE-He78)b0b3740107f746e09dc23fdf25eb0629$$aBrabetz, Sebastian$$b5$$udkfz
000130888 7001_ $$aGu, Zhiping$$b6
000130888 7001_ $$aWiser, Jeffrey A$$b7
000130888 7001_ $$aDunn, Patrick$$b8
000130888 7001_ $$aBegley, Dale A$$b9
000130888 7001_ $$aKrupke, Debra M$$b10
000130888 7001_ $$aBertotti, Andrea$$b11
000130888 7001_ $$aBruna, Alejandra$$b12
000130888 7001_ $$aBrush, Matthew H$$b13
000130888 7001_ $$aByrne, Annette T$$b14
000130888 7001_ $$aCaldas, Carlos$$b15
000130888 7001_ $$aChristie, Amanda L$$b16
000130888 7001_ $$aClark, Dominic A$$b17
000130888 7001_ $$aDowst, Heidi$$b18
000130888 7001_ $$aDry, Jonathan R$$b19
000130888 7001_ $$aDoroshow, James H$$b20
000130888 7001_ $$aDuchamp, Olivier$$b21
000130888 7001_ $$aEvrard, Yvonne A$$b22
000130888 7001_ $$aFerretti, Stephane$$b23
000130888 7001_ $$aFrese, Kristopher K$$b24
000130888 7001_ $$aGoodwin, Neal C$$b25
000130888 7001_ $$aGreenawalt, Danielle$$b26
000130888 7001_ $$aHaendel, Melissa A$$b27
000130888 7001_ $$aHermans, Els$$b28
000130888 7001_ $$aHoughton, Peter J$$b29
000130888 7001_ $$aJonkers, Jos$$b30
000130888 7001_ $$aKemper, Kristel$$b31
000130888 7001_ $$aKhor, Tin O$$b32
000130888 7001_ $$aLewis, Michael T$$b33
000130888 7001_ $$aLloyd, K C Kent$$b34
000130888 7001_ $$aMason, Jeremy$$b35
000130888 7001_ $$aMedico, Enzo$$b36
000130888 7001_ $$aNeuhauser, Steven B$$b37
000130888 7001_ $$aOlson, James M$$b38
000130888 7001_ $$aPeeper, Daniel S$$b39
000130888 7001_ $$aRueda, Oscar M$$b40
000130888 7001_ $$aSeong, Je Kyung$$b41
000130888 7001_ $$aTrusolino, Livio$$b42
000130888 7001_ $$aVinolo, Emilie$$b43
000130888 7001_ $$aWechsler-Reya, Robert J$$b44
000130888 7001_ $$aWeinstock, David M$$b45
000130888 7001_ $$aWelm, Alana$$b46
000130888 7001_ $$aWeroha, S John$$b47
000130888 7001_ $$aAmant, Frédéric$$b48
000130888 7001_ $$0P:(DE-He78)f746aa965c4e1af518b016de3aaff5d9$$aPfister, Stefan$$b49$$udkfz
000130888 7001_ $$0P:(DE-He78)4c28e2aade5f44d8eca9dd8e97638ec8$$aKool, Marcel$$b50$$udkfz
000130888 7001_ $$aParkinson, Helen$$b51
000130888 7001_ $$aButte, Atul J$$b52
000130888 7001_ $$aBult, Carol J$$b53
000130888 773__ $$0PERI:(DE-600)2036785-5$$a10.1158/0008-5472.CAN-17-0582$$gVol. 77, no. 21, p. e62 - e66$$n21$$pe62 - e66$$tCancer research$$v77$$x1538-7445$$y2017
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