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A next-generation dual-recombinase system for time- and host-specific targeting of pancreatic cancer

Authors: Sabine Klein; Dieter Saur; Dieter Saur; David G. Kirsch; Kathleen Schuck; Mariel C. Paul; Chang-Lung Lee; +24 Authors

A next-generation dual-recombinase system for time- and host-specific targeting of pancreatic cancer

Abstract

Genetically engineered mouse models (GEMMs) have dramatically improved our understanding of tumor evolution and therapeutic resistance. However, sequential genetic manipulation of gene expression and targeting of the host is almost impossible using conventional Cre-loxP-based models. We have developed an inducible dual-recombinase system by combining flippase-FRT (Flp-FRT) and Cre-loxP recombination technologies to improve GEMMs of pancreatic cancer. This enables investigation of multistep carcinogenesis, genetic manipulation of tumor subpopulations (such as cancer stem cells), selective targeting of the tumor microenvironment and genetic validation of therapeutic targets in autochthonous tumors on a genome-wide scale. As a proof of concept, we performed tumor cell-autonomous and nonautonomous targeting, recapitulated hallmarks of human multistep carcinogenesis, validated genetic therapy by 3-phosphoinositide-dependent protein kinase inactivation as well as cancer cell depletion and show that mast cells in the tumor microenvironment, which had been thought to be key oncogenic players, are dispensable for tumor formation.

Keywords

Male, Green Fluorescent Proteins, 610, Reproducibility of Results, Oncogenes, Adenocarcinoma, Models, Biological, Proto-Oncogene Proteins p21(ras), Recombinases, Mice, Animals, Cell Lineage, Female, Mast Cells, Molecular Targeted Therapy, Neoplasm Metastasis, Precision Medicine, Genetic Engineering, Pancreas, Precancerous Conditions, Carcinoma, Pancreatic Ductal

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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201
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165
250
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