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Get Free AccessAbstract Preclinical testing is a crucial step in evaluating cancer therapeutics. We aimed to establish a significant resource of patient-derived xenografts (PDXs) of prostate cancer for rapid and systematic evaluation of candidate therapies. The PDX collection comprises 59 tumors collected from 30 patients between 2012–2020, coinciding with availability of abiraterone and enzalutamide. The PDXs represent the clinico-pathological and genomic spectrum of prostate cancer, from treatment-naïve primary tumors to castration-resistant metastases. Inter- and intra-tumor heterogeneity in adenocarcinoma and neuroendocrine phenotypes is evident from bulk and single-cell RNA sequencing data. Organoids can be cultured from PDXs, providing further capabilities for preclinical studies. Using a 1 x 1 x 1 design, we rapidly identify tumors with exceptional responses to combination treatments. To govern the distribution of PDXs, we formed the Melbourne Urological Research Alliance (MURAL). This PDX collection is a substantial resource, expanding the capacity to test and prioritize effective treatments for prospective clinical trials in prostate cancer.
Gail P. Risbridger, Ashlee K. Clark, Laura H. Porter, Roxanne Toivanen, Andrew Bakshi, Natalie L. Lister, David Pook, Carmel Pezaro, Shahneen Sandhu, Shivakumar Keerthikumar, Rosalía Quezada Urban, Melissa Papargiris, Jenna Kraska, Heather B. Madsen, Hong Wang, Michelle G. Richards, Birunthi Niranjan, S O’Dea, Linda Teng, William Wheelahan, Zhuoer Li, Nicholas Choo, John F. Ouyang, Heather Thorne, Lisa Devereux, Rodney J. Hicks, Shomik Sengupta, Laurence Harewood, Mahesh Iddawala, Arun Azad, Jeremy Goad, Jeremy Grummet, John Kourambas, Edmond M. Kwan, Daniel Moon, Declan G. Murphy, John Pedersen, David Clouston, Sam Norden, Anthony J. Ryan, Luc Furic, David L. Goode, Mark Frydenberg, Mitchell G. Lawrence, Renea A. Taylor (2021). The MURAL collection of prostate cancer patient-derived xenografts enables discovery through preclinical models of uro-oncology. , 12(1), DOI: https://doi.org/10.1038/s41467-021-25175-5.
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Type
Article
Year
2021
Authors
45
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.1038/s41467-021-25175-5
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