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Drug screening and genome editing in human pancreatic cancer organoids identifies drug-gene interactions and candidates for off-label treatment.
Hirt, Christian K; Booij, Tijmen H; Grob, Linda; Simmler, Patrik; Toussaint, Nora C; Keller, David; Taube, Doreen; Ludwig, Vanessa; Goryachkin, Alexander; Pauli, Chantal; Lenggenhager, Daniela; Stekhoven, Daniel J; Stirnimann, Christian U; Endhardt, Katharina; Ringnalda, Femke; Villiger, Lukas; Siebenhüner, Alexander; Karkampouna, Sofia; De Menna, Marta; Beshay, Janette; Klett, Hagen; Kruithof-de Julio, Marianna; Schüler, Julia; Schwank, Gerald.
Afiliação
  • Hirt CK; Institute of Molecular Health Sciences, ETH Zurich, Switzerland.
  • Booij TH; Institute of Pharmacology and Toxicology, University Zurich, Switzerland.
  • Grob L; NEXUS Personalized Health Technologies, ETH Zurich, Switzerland.
  • Simmler P; NEXUS Personalized Health Technologies, ETH Zurich, Switzerland.
  • Toussaint NC; SIB Swiss Institute of Bioinformatics, Zurich, Switzerland.
  • Keller D; Institute of Molecular Health Sciences, ETH Zurich, Switzerland.
  • Taube D; Institute of Pharmacology and Toxicology, University Zurich, Switzerland.
  • Ludwig V; NEXUS Personalized Health Technologies, ETH Zurich, Switzerland.
  • Goryachkin A; SIB Swiss Institute of Bioinformatics, Zurich, Switzerland.
  • Pauli C; NEXUS Personalized Health Technologies, ETH Zurich, Switzerland.
  • Lenggenhager D; Institute of Molecular Health Sciences, ETH Zurich, Switzerland.
  • Stekhoven DJ; Institute of Molecular Health Sciences, ETH Zurich, Switzerland.
  • Stirnimann CU; Institute of Molecular Health Sciences, ETH Zurich, Switzerland.
  • Endhardt K; Department of Pathology and Molecular Pathology, University Hospital Zurich, Switzerland.
  • Ringnalda F; Department of Pathology and Molecular Pathology, University Hospital Zurich, Switzerland.
  • Villiger L; NEXUS Personalized Health Technologies, ETH Zurich, Switzerland.
  • Siebenhüner A; SIB Swiss Institute of Bioinformatics, Zurich, Switzerland.
  • Karkampouna S; NEXUS Personalized Health Technologies, ETH Zurich, Switzerland.
  • De Menna M; Department of Pathology and Molecular Pathology, University Hospital Zurich, Switzerland.
  • Beshay J; Institute of Molecular Health Sciences, ETH Zurich, Switzerland.
  • Klett H; Institute of Molecular Health Sciences, ETH Zurich, Switzerland.
  • Kruithof-de Julio M; Institute of Pharmacology and Toxicology, University Zurich, Switzerland.
  • Schüler J; Comprehensive Cancer Center, University Hospital Zurich, Switzerland.
  • Schwank G; Department for BioMedical Research, Urology Research laboratory, University Bern, Switzerland.
Cell Genom ; 2(2): 100095, 2022 Feb.
Article em En | MEDLINE | ID: mdl-35187519
ABSTRACT
Pancreatic cancer (PDAC) is a highly aggressive malignancy for which the identification of novel therapies is urgently needed. Here, we establish a human PDAC organoid biobank from 31 genetically distinct lines, covering a representative range of tumor subtypes, and demonstrate that these reflect the molecular and phenotypic heterogeneity of primary PDAC tissue. We use CRISPR-Cas9 genome editing and drug screening to characterize drug-gene interactions with ARID1A and BRCA2. We find that missense- but not frameshift mutations in the PDAC driver gene ARID1A are associated with increased sensitivity to the kinase inhibitors dasatinib (p < 0.0001) and VE-821 (p < 0.0001). We conduct an automated drug-repurposing screen with 1,172 FDA-approved compounds, identifying 26 compounds that effectively kill PDAC organoids, including 19 chemotherapy drugs currently approved for other cancer types. We validate the activity of these compounds in vitro and in vivo. The in vivo validated hits include emetine and ouabain, compounds which are approved for non-cancer indications and which perturb the ability of PDAC organoids to respond to hypoxia. Our study provides proof-of-concept for advancing precision oncology and identifying candidates for drug repurposing via genome editing and drug screening in tumor organoid biobanks.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Screening_studies Idioma: En Revista: Cell Genom Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Screening_studies Idioma: En Revista: Cell Genom Ano de publicação: 2022 Tipo de documento: Article