PDX-MI: Minimal information for patient-derived tumor xenograft models

Terrence F. Meehan; Nathalie Conte; Theodore Goldstein; Giorgio Inghirami; Mark A. Murakami; Sebastian Brabetz; Zhiping Gu; Jeffrey A. Wiser; Patrick Dunn; Dale A. Begley; Debra M. Krupke; Andrea Bertotti; Alejandra Bruna; Matthew H. Brush; Annette T. Byrne; Carlos Caldas; Amanda L. Christie; Dominic A. Clark; Heidi Dowst; Jonathan R. Dry; James H. Doroshow; Olivier Duchamp; Yvonne A. Evrard; Stephane Ferretti; Kristopher K. Frese; Neal C. Goodwin; Danielle Greenawalt; Melissa A. Haendel; Els Hermans; Peter J. Houghton; Jos Jonkers; Kristel Kemper; Tin O. Khor; Michael T. Lewis; K. C.Kent Lloyd; Jeremy Mason; Enzo Medico; Steven B. Neuhauser; James M. Olson; Daniel S. Peeper; Oscar M. Rueda; Je Kyung Seong; Livio Trusolino; Emilie Vinolo; Robert J. Wechsler-Reya; David M. Weinstock; Alana Welm; S. John Weroha; Frédéric Amant; Stefan M. Pfister; Marcel Kool; Helen Parkinson; Atul J. Butte; Carol J. Bult

doi:10.1158/0008-5472.CAN-17-0582

PDX-MI: Minimal information for patient-derived tumor xenograft models

Terrence F. Meehan, Nathalie Conte, Theodore Goldstein, Giorgio Inghirami, Mark A. Murakami, Sebastian Brabetz, Zhiping Gu, Jeffrey A. Wiser, Patrick Dunn, Dale A. Begley, Debra M. Krupke, Andrea Bertotti, Alejandra Bruna, Matthew H. Brush, Annette T. Byrne, Carlos Caldas, Amanda L. Christie, Dominic A. Clark, Heidi Dowst, Jonathan R. DryJames H. Doroshow, Olivier Duchamp, Yvonne A. Evrard, Stephane Ferretti, Kristopher K. Frese, Neal C. Goodwin, Danielle Greenawalt, Melissa A. Haendel, Els Hermans, Peter J. Houghton, Jos Jonkers, Kristel Kemper, Tin O. Khor, Michael T. Lewis, K. C.Kent Lloyd, Jeremy Mason, Enzo Medico, Steven B. Neuhauser, James M. Olson, Daniel S. Peeper, Oscar M. Rueda, Je Kyung Seong, Livio Trusolino, Emilie Vinolo, Robert J. Wechsler-Reya, David M. Weinstock, Alana Welm, S. John Weroha, Frédéric Amant, Stefan M. Pfister, Marcel Kool, Helen Parkinson, Atul J. Butte, Carol J. Bult

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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.

Original language	English (US)
Pages (from-to)	e62-e66
Journal	Cancer Research
Volume	77
Issue number	21
DOIs	https://doi.org/10.1158/0008-5472.CAN-17-0582
State	Published - Nov 1 2017

ASJC Scopus subject areas

Oncology
Cancer Research

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10.1158/0008-5472.CAN-17-0582

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Meehan, T. F., Conte, N., Goldstein, T., Inghirami, G., Murakami, M. A., Brabetz, S., Gu, Z., Wiser, J. A., Dunn, P., Begley, D. A., Krupke, D. M., Bertotti, A., Bruna, A., Brush, M. H., Byrne, A. T., Caldas, C., Christie, A. L., Clark, D. A., Dowst, H., ... Bult, C. J. (2017). PDX-MI: Minimal information for patient-derived tumor xenograft models. Cancer Research, 77(21), e62-e66. https://doi.org/10.1158/0008-5472.CAN-17-0582

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 2017, 'PDX-MI: Minimal information for patient-derived tumor xenograft models', Cancer Research, vol. 77, no. 21, pp. e62-e66. https://doi.org/10.1158/0008-5472.CAN-17-0582

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title = "PDX-MI: Minimal information for patient-derived tumor xenograft models",

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.",

author = "Meehan, {Terrence F.} and Nathalie Conte and Theodore Goldstein and Giorgio Inghirami and Murakami, {Mark A.} and Sebastian Brabetz and Zhiping Gu and Wiser, {Jeffrey A.} and Patrick Dunn and Begley, {Dale A.} and Krupke, {Debra M.} and Andrea Bertotti and Alejandra Bruna and Brush, {Matthew H.} and Byrne, {Annette T.} and Carlos Caldas and Christie, {Amanda L.} and Clark, {Dominic A.} and Heidi Dowst and Dry, {Jonathan R.} and Doroshow, {James H.} and Olivier Duchamp and Evrard, {Yvonne A.} and Stephane Ferretti and Frese, {Kristopher K.} and Goodwin, {Neal C.} and Danielle Greenawalt and Haendel, {Melissa A.} and Els Hermans and Houghton, {Peter J.} and Jos Jonkers and Kristel Kemper and Khor, {Tin O.} and Lewis, {Michael T.} and Lloyd, {K. C.Kent} and Jeremy Mason and Enzo Medico and Neuhauser, {Steven B.} and Olson, {James M.} and Peeper, {Daniel S.} and Rueda, {Oscar M.} and Seong, {Je Kyung} and Livio Trusolino and Emilie Vinolo and Wechsler-Reya, {Robert J.} and Weinstock, {David M.} and Alana Welm and Weroha, {S. John} and Fr{\'e}d{\'e}ric Amant and Pfister, {Stefan M.} and Marcel Kool and Helen Parkinson and Butte, {Atul J.} and Bult, {Carol J.}",

note = "Publisher Copyright: {\textcopyright} 2017 American Association for Cancer Research.",

year = "2017",

month = nov,

day = "1",

doi = "10.1158/0008-5472.CAN-17-0582",

language = "English (US)",

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T1 - PDX-MI

T2 - Minimal information for patient-derived tumor xenograft models

AU - Meehan, Terrence F.

AU - Conte, Nathalie

AU - Goldstein, Theodore

AU - Inghirami, Giorgio

AU - Murakami, Mark A.

AU - Brabetz, Sebastian

AU - Gu, Zhiping

AU - Wiser, Jeffrey A.

AU - Dunn, Patrick

AU - Begley, Dale A.

AU - Krupke, Debra M.

AU - Bertotti, Andrea

AU - Bruna, Alejandra

AU - Brush, Matthew H.

AU - Byrne, Annette T.

AU - Caldas, Carlos

AU - Christie, Amanda L.

AU - Clark, Dominic A.

AU - Dowst, Heidi

AU - Dry, Jonathan R.

AU - Doroshow, James H.

AU - Duchamp, Olivier

AU - Evrard, Yvonne A.

AU - Ferretti, Stephane

AU - Frese, Kristopher K.

AU - Goodwin, Neal C.

AU - Greenawalt, Danielle

AU - Haendel, Melissa A.

AU - Hermans, Els

AU - Houghton, Peter J.

AU - Jonkers, Jos

AU - Kemper, Kristel

AU - Khor, Tin O.

AU - Lewis, Michael T.

AU - Lloyd, K. C.Kent

AU - Mason, Jeremy

AU - Medico, Enzo

AU - Neuhauser, Steven B.

AU - Olson, James M.

AU - Peeper, Daniel S.

AU - Rueda, Oscar M.

AU - Seong, Je Kyung

AU - Trusolino, Livio

AU - Vinolo, Emilie

AU - Wechsler-Reya, Robert J.

AU - Weinstock, David M.

AU - Welm, Alana

AU - Weroha, S. John

AU - Amant, Frédéric

AU - Pfister, Stefan M.

AU - Kool, Marcel

AU - Parkinson, Helen

AU - Butte, Atul J.

AU - Bult, Carol J.

PY - 2017/11/1

Y1 - 2017/11/1

N2 - 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.

AB - 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.

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JF - Cancer Research

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ER -

PDX-MI: Minimal information for patient-derived tumor xenograft models

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