Please use this identifier to cite or link to this item:
https://hdl.handle.net/2445/125356
Title: | Patient-derived xenograft (PDX) models in basic and translational breast cancer research |
Author: | Dobrolecki, Lacey E. Airhart, Susie D. Alférez, Denis G. Aparicio, Samuel Behbod, Fariba Bentires-Alj, Mohamed Brisken, Cathrin Bult, Carol J. Cai, Shirong Clarke, Robert B. Dowst, Heidi Ellis, Matthew J. González Suárez, Eva Iggo, Richard D. Kabos, Peter Li, Shunqiang Lindeman, Geoffrey J. Marangoni, Elisabetta McCoy, Aaron Meric-Bernstam, Funda Piwnica-Worms, Helena Poupon, Marie-France Reis-Filho, Jorge Sartorius, Carol A. Scabia, Valentina Sflomos, George Tu, Yizheng Vaillant, François Visvader, Jane E. Welm, Alana Wicha, Max S. Lewis, Michael T. |
Keywords: | Càncer de mama Breast cancer |
Issue Date: | 1-Dec-2016 |
Publisher: | Springer |
Abstract: | Patient-derived xenograft (PDX) models of a growing spectrum of cancers are rapidly supplanting long-established traditional cell lines as preferred models for conducting basic and translational preclinical research. In breast cancer, to complement the now curated collection of approximately 45 long-established human breast cancer cell lines, a newly formed consortium of academic laboratories, currently from Europe, Australia, and North America, herein summarizes data on over 500 stably transplantable PDX models representing all three clinical subtypes of breast cancer (ER+, HER2+, and "Triple-negative" (TNBC)). Many of these models are well-characterized with respect to genomic, transcriptomic, and proteomic features, metastatic behavior, and treatment response to a variety of standard-of-care and experimental therapeutics. These stably transplantable PDX lines are generally available for dissemination to laboratories conducting translational research, and contact information for each collection is provided. This review summarizes current experiences related to PDX generation across participating groups, efforts to develop data standards for annotation and dissemination of patient clinical information that does not compromise patient privacy, efforts to develop complementary data standards for annotation of PDX characteristics and biology, and progress toward "credentialing" of PDX models as surrogates to represent individual patients for use in preclinical and co-clinical translational research. In addition, this review highlights important unresolved questions, as well as current limitations, that have hampered more efficient generation of PDX lines and more rapid adoption of PDX use in translational breast cancer research. |
Note: | Versió postprint del document publicat a: https://doi.org/10.1007/s10555-016-9653-x |
It is part of: | Cancer and Metastasis Reviews, 2016, vol. 35, num. 4, p. 547-573 |
URI: | https://hdl.handle.net/2445/125356 |
Related resource: | https://doi.org/10.1007/s10555-016-9653-x |
Appears in Collections: | Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL)) |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
DobroleckiLE.pdf | 492.12 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.