Integrated chromatin and transcriptomic profiling of patient-derived colon cancer organoids identifies personalized drug targets to overcome oxaliplatin resistance.

Chromatin accessibility Drug screening Patient-derived organoids Personalized medicine Target discovery

Journal

Genes & diseases
ISSN: 2352-3042
Titre abrégé: Genes Dis
Pays: Netherlands
ID NLM: 101635967

Informations de publication

Date de publication:
Mar 2021
Historique:
received: 28 08 2019
revised: 20 10 2019
accepted: 21 10 2019
entrez: 17 5 2021
pubmed: 29 10 2019
medline: 29 10 2019
Statut: epublish

Résumé

Colorectal cancer is a leading cause of cancer deaths. Most colorectal cancer patients eventually develop chemoresistance to the current standard-of-care therapies. Here, we used patient-derived colorectal cancer organoids to demonstrate that resistant tumor cells undergo significant chromatin changes in response to oxaliplatin treatment. Integrated transcriptomic and chromatin accessibility analyses using ATAC-Seq and RNA-Seq identified a group of genes associated with significantly increased chromatin accessibility and upregulated gene expression. CRISPR/Cas9 silencing of fibroblast growth factor receptor 1 (FGFR1) and oxytocin receptor (OXTR) helped overcome oxaliplatin resistance. Similarly, treatment with oxaliplatin in combination with an FGFR1 inhibitor (PD166866) or an antagonist of OXTR (L-368,899) suppressed chemoresistant organoids. However, oxaliplatin treatment did not activate either FGFR1 or OXTR expression in another resistant organoid, suggesting that chromatin accessibility changes are patient-specific. The use of patient-derived cancer organoids in combination with transcriptomic and chromatin profiling may lead to precision treatments to overcome chemoresistance in colorectal cancer.

Identifiants

pubmed: 33997167
doi: 10.1016/j.gendis.2019.10.012
pii: S2352-3042(19)30099-6
pmc: PMC8099686
doi:

Types de publication

Journal Article

Langues

eng

Pagination

203-214

Informations de copyright

© 2019 Chongqing Medical University. Production and hosting by Elsevier B.V.

Déclaration de conflit d'intérêts

The authors declare no potential conflicts of interest.

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Auteurs

Kuei-Ling Tung (KL)

Department of Biological and Environmental Engineering, Cornell University, Ithaca, NY, 14853, USA.
Department of Biomedical Engineering, Pratt School of Engineering, Duke University, Durham, NC, 27708, USA.

Kai-Yuan Chen (KY)

Department of Biomedical Engineering, Pratt School of Engineering, Duke University, Durham, NC, 27708, USA.
Center for Genomics and Computational Biology, Duke University, Durham, NC, 27708, USA.

Marcos Negrete (M)

Department of Biomedical Engineering, Pratt School of Engineering, Duke University, Durham, NC, 27708, USA.
Center for Genomics and Computational Biology, Duke University, Durham, NC, 27708, USA.

Tianyi Chen (T)

Department of Biomedical Engineering, Pratt School of Engineering, Duke University, Durham, NC, 27708, USA.

Alexias Safi (A)

Center for Genomics and Computational Biology, Duke University, Durham, NC, 27708, USA.
Department of Pediatrics, Division of Medical Genetics, Duke University, Durham, NC, 27708, USA.

Abed Alhalim Aljamal (AA)

Department of Medical Oncology, Duke University Medical Center, Durham, NC, 27708, USA.

Lingyun Song (L)

Department of Pediatrics, Division of Medical Genetics, Duke University, Durham, NC, 27708, USA.

Gregory E Crawford (GE)

Center for Genomics and Computational Biology, Duke University, Durham, NC, 27708, USA.
Department of Pediatrics, Division of Medical Genetics, Duke University, Durham, NC, 27708, USA.

Shengli Ding (S)

Department of Biomedical Engineering, Pratt School of Engineering, Duke University, Durham, NC, 27708, USA.

David S Hsu (DS)

Center for Genomics and Computational Biology, Duke University, Durham, NC, 27708, USA.
Department of Medical Oncology, Duke University Medical Center, Durham, NC, 27708, USA.

Xiling Shen (X)

Department of Biomedical Engineering, Pratt School of Engineering, Duke University, Durham, NC, 27708, USA.
Center for Genomics and Computational Biology, Duke University, Durham, NC, 27708, USA.
Duke Cancer Institute, Duke University, Durham, NC, 27708, USA.

Classifications MeSH