A human breast cancer-derived xenograft and organoid platform for drug discovery and precision oncology

Katrin P. Guillen(University of Utah), Maihi Fujita(University of Utah), Andrew Butterfield(University of Utah), Sandra D. Scherer(University of Utah), Matthew H. Bailey(University of Utah), Zhengtao Chu(University of Utah), Yoko S. DeRose(University of Utah), Ling Zhao(University of Utah), Emilio Cortes-Sanchez(University of Utah), Chieh‐Hsiang Yang(University of Utah), Jennifer Toner(University of Utah), Guoying Wang(University of Utah), 義行 高橋(University of Utah), Xiaomeng Huang(University of Utah), Jeffery A. Greenland(University of Utah), Jeffery M. Vahrenkamp(University of Utah), David H. Lum(University of Utah), Rachel E. Factor(University of Utah), Edward William Nelson(University of Utah), Cindy Matsen(University of Utah), Jane M. Poretta(University of Utah), Regina Rosenthal(University of Utah), Anna C. Beck(University of Utah), Saundra S. Buys(University of Utah), Christos Vaklavas(University of Utah), John H. Ward(University of Utah), Randy L. Jensen(University of Utah), Kevin B. Jones(University of Utah), Zheqi Li(University of Pittsburgh), Steffi Oesterreich(University of Pittsburgh), Lacey E. Dobrolecki(Baylor College of Medicine), Satya S. Pathi(University of Utah), Xing Yi Woo(Jackson Laboratory), Kristofer C. Berrett(University of Utah), Mark E. Wadsworth(University of Utah), Jeffrey H. Chuang(Jackson Laboratory), Michael T. Lewis(Baylor College of Medicine), Gábor Marth(University of Utah), Jason Gertz(University of Utah), Katherine E. Varley(University of Utah), Bryan E. Welm(University of Utah), Alana L. Welm(University of Utah)
Nature Cancer
February 24, 2022
Cited by 389Open Access
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Abstract

Models that recapitulate the complexity of human tumors are urgently needed to develop more effective cancer therapies. We report a bank of human patient-derived xenografts (PDXs) and matched organoid cultures from tumors that represent the greatest unmet need: endocrine-resistant, treatment-refractory and metastatic breast cancers. We leverage matched PDXs and PDX-derived organoids (PDxO) for drug screening that is feasible and cost-effective with in vivo validation. Moreover, we demonstrate the feasibility of using these models for precision oncology in real time with clinical care in a case of triple-negative breast cancer (TNBC) with early metastatic recurrence. Our results uncovered a Food and Drug Administration (FDA)-approved drug with high efficacy against the models. Treatment with this therapy resulted in a complete response for the individual and a progression-free survival (PFS) period more than three times longer than their previous therapies. This work provides valuable methods and resources for functional precision medicine and drug development for human breast cancer.


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