Cell Genomics (Feb 2022)

Drug screening and genome editing in human pancreatic cancer organoids identifies drug-gene interactions and candidates for off-label therapy

  • Christian K. Hirt,
  • Tijmen H. Booij,
  • Linda Grob,
  • Patrik Simmler,
  • Nora C. Toussaint,
  • David Keller,
  • Doreen Taube,
  • Vanessa Ludwig,
  • Alexander Goryachkin,
  • Chantal Pauli,
  • Daniela Lenggenhager,
  • Daniel J. Stekhoven,
  • Christian U. Stirnimann,
  • Katharina Endhardt,
  • Femke Ringnalda,
  • Lukas Villiger,
  • Alexander Siebenhüner,
  • Sofia Karkampouna,
  • Marta De Menna,
  • Janette Beshay,
  • Hagen Klett,
  • Marianna Kruithof-de Julio,
  • Julia Schüler,
  • Gerald Schwank

Journal volume & issue
Vol. 2, no. 2
p. 100095

Abstract

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Summary: 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 further 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 that are approved for non-cancer indications and that perturb the ability of PDAC organoids to respond to hypoxia. Our study provides proof-of-concept for advancing precision oncology and for identifying candidates for drug repurposing via genome editing and drug screening in tumor organoid biobanks.

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