Abstract

Intrahepatic cholangiocarcinoma (ICC) remains a deadly malignancy lacking systemic therapies for advanced disease. Recent advancements include selective FGFR1–3 inhibitors for the 15% of ICC patients harboring fusions, although survival is limited by poor response and resistance. Herein we report generation of a patient-derived FGFR2 fusion-positive ICC model system consisting of a cell line, organoid, and xenograft, which have undergone complete histologic, genomic, and phenotypic characterization, including testing standard-of-care systemic therapies. Using these FGFR2 fusion-positive ICC models, we conducted an unbiased high-throughput small molecule screen to prioritize combination strategies with FGFR inhibition, from which HDAC inhibition together with pemigatinib was validated in vitro and in vivo as a synergistic therapy for ICC. Additionally, we demonstrate broad utility of the FGFR/HDAC combination for other FGFR fusion-positive solid tumors. These data are directly translatable and justify early phase trials to establish dosing, safety, and therapeutic efficacy of this synergistic combination.

Details

Title
Leveraging patient derived models of FGFR2 fusion positive intrahepatic cholangiocarcinoma to identify synergistic therapies
Author
Lidsky, Michael E. 1   VIAFID ORCID Logo  ; Wang, Zechen 2   VIAFID ORCID Logo  ; Lu, Min 3 ; Liu, Annie 1   VIAFID ORCID Logo  ; Hsu, S. David 4   VIAFID ORCID Logo  ; McCall, Shannon J. 5 ; Sheng, Zhecheng 6 ; Granek, Joshua A. 6   VIAFID ORCID Logo  ; Owzar, Kouros 6 ; Anderson, Karen S. 7 ; Wood, Kris C. 3   VIAFID ORCID Logo 

 Duke University School of Medicine, Department of Surgery, Durham, USA (GRID:grid.26009.3d) (ISNI:0000 0004 1936 7961) 
 Yale University School of Medicine, Department of Pharmacology, New Haven, USA (GRID:grid.47100.32) (ISNI:0000000419368710) 
 Duke University School of Medicine, Department of Pharmacology and Cancer Biology, Durham, USA (GRID:grid.26009.3d) (ISNI:0000 0004 1936 7961) 
 Duke University School of Medicine, Department of Medicine, Durham, USA (GRID:grid.26009.3d) (ISNI:0000 0004 1936 7961) 
 Duke University School of Medicine, Department of Pathology, Durham, USA (GRID:grid.26009.3d) (ISNI:0000 0004 1936 7961) 
 Duke University School of Medicine, Department of Bioinformatics, Durham, USA (GRID:grid.26009.3d) (ISNI:0000 0004 1936 7961) 
 Yale University School of Medicine, Department of Pharmacology, New Haven, USA (GRID:grid.47100.32) (ISNI:0000000419368710); Yale University School of Medicine, Department of Molecular Biophysics and Biochemistry, New Haven, USA (GRID:grid.47100.32) (ISNI:0000000419368710) 
Publication year
2022
Publication date
2022
Publisher
Nature Publishing Group
ISSN
2397768X
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2727499705
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.