Title |
A Comprehensive Patient-Derived Xenograft Collection Representing the Heterogeneity of Melanoma
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Published in |
Cell Reports, November 2017
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DOI | 10.1016/j.celrep.2017.10.021 |
Pubmed ID | |
Authors |
Clemens Krepler, Katrin Sproesser, Patricia Brafford, Marilda Beqiri, Bradley Garman, Min Xiao, Batool Shannan, Andrea Watters, Michela Perego, Gao Zhang, Adina Vultur, Xiangfan Yin, Qin Liu, Ioannis N. Anastopoulos, Bradley Wubbenhorst, Melissa A. Wilson, Wei Xu, Giorgos Karakousis, Michael Feldman, Xiaowei Xu, Ravi Amaravadi, Tara C. Gangadhar, David E. Elder, Lauren E. Haydu, Jennifer A. Wargo, Michael A. Davies, Yiling Lu, Gordon B. Mills, Dennie T. Frederick, Michal Barzily-Rokni, Keith T. Flaherty, Dave S. Hoon, Michael Guarino, Joseph J. Bennett, Randall W. Ryan, Nicholas J. Petrelli, Carol L. Shields, Mizue Terai, Takami Sato, Andrew E. Aplin, Alexander Roesch, David Darr, Steve Angus, Rakesh Kumar, Ensar Halilovic, Giordano Caponigro, Sebastien Jeay, Jens Wuerthner, Annette Walter, Matthias Ocker, Matthew B. Boxer, Lynn Schuchter, Katherine L. Nathanson, Meenhard Herlyn |
Abstract |
Therapy of advanced melanoma is changing dramatically. Following mutational and biological subclassification of this heterogeneous cancer, several targeted and immune therapies were approved and increased survival significantly. To facilitate further advancements through pre-clinical in vivo modeling, we have established 459 patient-derived xenografts (PDX) and live tissue samples from 384 patients representing the full spectrum of clinical, therapeutic, mutational, and biological heterogeneity of melanoma. PDX have been characterized using targeted sequencing and protein arrays and are clinically annotated. This exhaustive live tissue resource includes PDX from 57 samples resistant to targeted therapy, 61 samples from responders and non-responders to immune checkpoint blockade, and 31 samples from brain metastasis. Uveal, mucosal, and acral subtypes are represented as well. We show examples of pre-clinical trials that highlight how the PDX collection can be used to develop and optimize precision therapies, biomarkers of response, and the targeting of rare genetic subgroups. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 23% |
France | 3 | 14% |
Australia | 2 | 9% |
United Kingdom | 2 | 9% |
Germany | 1 | 5% |
Mexico | 1 | 5% |
Austria | 1 | 5% |
Unknown | 7 | 32% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 11 | 50% |
Members of the public | 8 | 36% |
Science communicators (journalists, bloggers, editors) | 2 | 9% |
Practitioners (doctors, other healthcare professionals) | 1 | 5% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 171 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 36 | 21% |
Student > Ph. D. Student | 29 | 17% |
Student > Bachelor | 15 | 9% |
Other | 13 | 8% |
Student > Master | 12 | 7% |
Other | 25 | 15% |
Unknown | 41 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 57 | 33% |
Medicine and Dentistry | 25 | 15% |
Agricultural and Biological Sciences | 17 | 10% |
Pharmacology, Toxicology and Pharmaceutical Science | 6 | 4% |
Immunology and Microbiology | 5 | 3% |
Other | 16 | 9% |
Unknown | 45 | 26% |