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Title:
Organoid cultures recapitulate esophageal adenocarcinoma heterogeneity providing a model for clonality studies and precision therapeutics | Nature Communications
Description:
Esophageal adenocarcinoma (EAC) incidence is increasing while 5-year survival rates remain less than 15%. A lack of experimental models has hampered progress. We have generated clinically annotated EAC organoid cultures that recapitulate the morphology, genomic, and transcriptomic landscape of the primary tumor including point mutations, copy number alterations, and mutational signatures. Karyotyping of organoid cultures has confirmed polyclonality reflecting the clonal architecture of the primary tumor. Furthermore, subclones underwent clonal selection associated with driver gene status. Medium throughput drug sensitivity testing demonstrates the potential of targeting receptor tyrosine kinases and downstream mediators. EAC organoid cultures provide a pre-clinical tool for studies of clonal evolution and precision therapeutics. Esophageal adenocarcinoma (EAC) has a poor 5-year survival rate and lacks robust preclinical models for use in research. Here, the authors show that newly derived organoids recapitulate the transcriptomic, genetic, and morphological landscape of the primary EAC tumors and provide a platform to test drug sensitivity and study tumor clonality.
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headline:Organoid cultures recapitulate esophageal adenocarcinoma heterogeneity providing a model for clonality studies and precision therapeutics
description:Esophageal adenocarcinoma (EAC) incidence is increasing while 5-year survival rates remain less than 15%. A lack of experimental models has hampered progress. We have generated clinically annotated EAC organoid cultures that recapitulate the morphology, genomic, and transcriptomic landscape of the primary tumor including point mutations, copy number alterations, and mutational signatures. Karyotyping of organoid cultures has confirmed polyclonality reflecting the clonal architecture of the primary tumor. Furthermore, subclones underwent clonal selection associated with driver gene status. Medium throughput drug sensitivity testing demonstrates the potential of targeting receptor tyrosine kinases and downstream mediators. EAC organoid cultures provide a pre-clinical tool for studies of clonal evolution and precision therapeutics. Esophageal adenocarcinoma (EAC) has a poor 5-year survival rate and lacks robust preclinical models for use in research. Here, the authors show that newly derived organoids recapitulate the transcriptomic, genetic, and morphological landscape of the primary EAC tumors and provide a platform to test drug sensitivity and study tumor clonality.
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headline:Organoid cultures recapitulate esophageal adenocarcinoma heterogeneity providing a model for clonality studies and precision therapeutics
description:Esophageal adenocarcinoma (EAC) incidence is increasing while 5-year survival rates remain less than 15%. A lack of experimental models has hampered progress. We have generated clinically annotated EAC organoid cultures that recapitulate the morphology, genomic, and transcriptomic landscape of the primary tumor including point mutations, copy number alterations, and mutational signatures. Karyotyping of organoid cultures has confirmed polyclonality reflecting the clonal architecture of the primary tumor. Furthermore, subclones underwent clonal selection associated with driver gene status. Medium throughput drug sensitivity testing demonstrates the potential of targeting receptor tyrosine kinases and downstream mediators. EAC organoid cultures provide a pre-clinical tool for studies of clonal evolution and precision therapeutics. Esophageal adenocarcinoma (EAC) has a poor 5-year survival rate and lacks robust preclinical models for use in research. Here, the authors show that newly derived organoids recapitulate the transcriptomic, genetic, and morphological landscape of the primary EAC tumors and provide a platform to test drug sensitivity and study tumor clonality.
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type:Organization
name:Howard Lightfoot
affiliation:
name:Wellcome Sanger Institute, Hinxton
address:
name:Wellcome Sanger Institute, Hinxton, Cambridge, UK
type:PostalAddress
type:Organization
name:Elisabeth Chen
affiliation:
name:Wellcome Sanger Institute, Hinxton
address:
name:Wellcome Sanger Institute, Hinxton, Cambridge, UK
type:PostalAddress
type:Organization
name:James Gilbert
affiliation:
name:Wellcome Sanger Institute, Hinxton
address:
name:Wellcome Sanger Institute, Hinxton, Cambridge, UK
type:PostalAddress
type:Organization
name:Ayesha Noorani
affiliation:
name:MRC Cancer Unit, University of Cambridge
address:
name:MRC Cancer Unit, University of Cambridge, Cambridge, UK
type:PostalAddress
type:Organization
name:Ginny Devonshire
url:http://orcid.org/0000-0002-1408-8176
affiliation:
name:Cancer Research UK Cambridge Institute
address:
name:Cancer Research UK Cambridge Institute, Cambridge, UK
type:PostalAddress
type:Organization
name:Lawrence Bower
affiliation:
name:Cancer Research UK Cambridge Institute
address:
name:Cancer Research UK Cambridge Institute, Cambridge, UK
type:PostalAddress
type:Organization
name:Amber Grantham
affiliation:
name:MRC Cancer Unit, University of Cambridge
address:
name:MRC Cancer Unit, University of Cambridge, Cambridge, UK
type:PostalAddress
type:Organization
name:Shona MacRae
affiliation:
name:MRC Cancer Unit, University of Cambridge
address:
name:MRC Cancer Unit, University of Cambridge, Cambridge, UK
type:PostalAddress
type:Organization
name:Nicola Grehan
affiliation:
name:Cambridge University Hospitals NHS Trust
address:
name:Cambridge University Hospitals NHS Trust, Cambridge, UK
type:PostalAddress
type:Organization
name:David C. Wedge
url:http://orcid.org/0000-0002-7572-3196
affiliation:
name:Big Data Institute, University of Oxford
address:
name:Big Data Institute, University of Oxford, Oxford, UK
type:PostalAddress
type:Organization
name:Oxford NIHR Biomedical Research Centre
address:
name:Oxford NIHR Biomedical Research Centre, Oxford, UK
type:PostalAddress
type:Organization
name:Rebecca C. Fitzgerald
affiliation:
name:MRC Cancer Unit, University of Cambridge
address:
name:MRC Cancer Unit, University of Cambridge, Cambridge, UK
type:PostalAddress
type:Organization
name:Cambridge University Hospitals NHS Trust
address:
name:Cambridge University Hospitals NHS Trust, Cambridge, UK
type:PostalAddress
type:Organization
email:[email protected]
name:Mathew J. Garnett
affiliation:
name:Wellcome Sanger Institute, Hinxton
address:
name:Wellcome Sanger Institute, Hinxton, Cambridge, UK
type:PostalAddress
type:Organization
PostalAddress:
name:MRC Cancer Unit, University of Cambridge, Cambridge, UK
name:Wellcome Sanger Institute, Hinxton, Cambridge, UK
name:Cancer Research UK Cambridge Institute, Cambridge, UK
name:Oncology IMED, AstraZeneca, Chesterford, Cambridge, UK
name:Cancer Research UK Cambridge Institute, Cambridge, UK
name:Cambridge University Hospitals NHS Trust, Cambridge, UK
name:MRC Cancer Unit, University of Cambridge, Cambridge, UK
name:Wellcome Sanger Institute, Hinxton, Cambridge, UK
name:Wellcome Sanger Institute, Hinxton, Cambridge, UK
name:Wellcome Sanger Institute, Hinxton, Cambridge, UK
name:Wellcome Sanger Institute, Hinxton, Cambridge, UK
name:Wellcome Sanger Institute, Hinxton, Cambridge, UK
name:Wellcome Sanger Institute, Hinxton, Cambridge, UK
name:Wellcome Sanger Institute, Hinxton, Cambridge, UK
name:Wellcome Sanger Institute, Hinxton, Cambridge, UK
name:MRC Cancer Unit, University of Cambridge, Cambridge, UK
name:Cancer Research UK Cambridge Institute, Cambridge, UK
name:Cancer Research UK Cambridge Institute, Cambridge, UK
name:MRC Cancer Unit, University of Cambridge, Cambridge, UK
name:MRC Cancer Unit, University of Cambridge, Cambridge, UK
name:Cambridge University Hospitals NHS Trust, Cambridge, UK
name:Big Data Institute, University of Oxford, Oxford, UK
name:Oxford NIHR Biomedical Research Centre, Oxford, UK
name:MRC Cancer Unit, University of Cambridge, Cambridge, UK
name:Cambridge University Hospitals NHS Trust, Cambridge, UK
name:Wellcome Sanger Institute, Hinxton, Cambridge, UK
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