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PDX-MI: Minimal Information for Patient-Derived Tumor Xenograft Models
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| Veröffentlicht in: | Cancer research 77(2017), 21, Seite e62-e66 |
|---|---|
| Personen und Körperschaften: | , , , |
| Titel: | 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 |
| Format: | E-Book-Kapitel |
| Sprache: | Englisch |
| veröffentlicht: |
October 31, 2017
|
| Gesamtaufnahme: |
: Cancer research, 77(2017), 21, Seite e62-e66
, volume:77 |
| Quelle: | Verbunddaten SWB Lizenzfreie Online-Ressourcen |
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| 520 | |a 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. ©2017 AACR. | ||
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| contents | 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. ©2017 AACR. |
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| spelling | Meehan, Terrence F. VerfasserIn (DE-588)116769841X (DE-627)1031223495 (DE-576)511217420 aut, 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, October 31, 2017, 5, Text txt rdacontent, Computermedien c rdamedia, Online-Ressource cr rdacarrier, Published first October 31, 2017, Gesehen am 24.09.2018, 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. ©2017 AACR., Brabetz, Sebastian VerfasserIn (DE-588)1154706559 (DE-627)1018125434 (DE-576)501181172 aut, Pfister, Stefan 1974- VerfasserIn (DE-588)123850215 (DE-627)706450930 (DE-576)293908400 aut, Kool, Marcel VerfasserIn (DE-588)1058669753 (DE-627)797393560 (DE-576)414823842 aut, Enthalten in Cancer research Philadelphia, Pa. : AACR, 1916 77(2017), 21, Seite e62-e66 Online-Ressource (DE-627)325489955 (DE-600)2036785-5 (DE-576)094502226 1538-7445 nnns, volume:77 year:2017 number:21 pages:e62-e66 extent:5, http://dx.doi.org/10.1158/0008-5472.CAN-17-0582 Verlag Resolving-System kostenfrei Volltext, http://cancerres.aacrjournals.org/content/77/21/e62 Verlag kostenfrei Volltext, http://dx.doi.org/10.1158/0008-5472.CAN-17-0582 LFER, LFER 2018-10-10T00:00:00Z |
| spellingShingle | Meehan, Terrence F., Brabetz, Sebastian, Pfister, Stefan, Kool, Marcel, PDX-MI: Minimal Information for Patient-Derived Tumor Xenograft Models, 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. ©2017 AACR. |
| swb_id_str | 511217366 |
| title | PDX-MI: Minimal Information for Patient-Derived Tumor Xenograft Models |
| title_auth | PDX-MI Minimal Information for Patient-Derived Tumor Xenograft Models |
| title_full | 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 |
| title_fullStr | 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 |
| title_full_unstemmed | 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 |
| title_in_hierarchy | 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, |
| title_short | PDX-MI |
| title_sort | pdx mi minimal information for patient derived tumor xenograft models |
| title_sub | Minimal Information for Patient-Derived Tumor Xenograft Models |
| url | http://dx.doi.org/10.1158/0008-5472.CAN-17-0582, http://cancerres.aacrjournals.org/content/77/21/e62 |