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Modeling pancreatic cancer with organoids.

ABSTRACT: Pancreatic ductal adenocarcinoma (PDA) is a highly lethal malignancy for which new treatment and diagnostic approaches are urgently needed. In order for such breakthroughs to be discovered, researchers require systems that accurately model the development and biology of PDA. While cell lines, genetically engineered murine models, and xenografts have all led to valuable clinical insights, organotypic culture models have emerged as tractable systems to recapitulate the complex three-dimensional organization of PDA. Recently, multiple methods for modeling PDA using organoids have been reported. This review aims to summarize these organoid methods in the context of other PDA models. While each model system has unique benefits and drawbacks, ultimately, organoids hold special promise for the development of personalized medicine approaches.

SUBMITTER: Baker LA

PROVIDER: S-EPMC4847151 | biostudies-literature | 2016 Apr

REPOSITORIES: biostudies-literature

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Modeling pancreatic cancer with organoids.

Baker Lindsey A LA Tiriac Hervé H Clevers Hans H Tuveson David A DA

Trends in cancer 20160401 4

Pancreatic ductal adenocarcinoma (PDA) is a highly lethal malignancy for which new treatment and diagnostic approaches are urgently needed. In order for such breakthroughs to be discovered, researchers require systems that accurately model the development and biology of PDA. While cell lines, genetically engineered murine models, and xenografts have all led to valuable clinical insights, organotypic culture models have emerged as tractable systems to recapitulate the complex three-dimensional or ...[more]

PMID: 27135056

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Project description:BackgroundOrganoid cultures of human pancreatic ductal adenocarcinoma (PDAC) have become a promising tool for tumor subtyping and individualized chemosensitivity testing. PDACs have recently been grouped into different molecular subtypes with clinical impact based on cytokeratin-81 (KRT81) and hepatocyte nuclear factor 1A (HNF1A). However, a suitable antibody for HNF1A is currently unavailable. The present study is aimed at establishing subtyping in PDAC organoids using an alternative marker.MethodsA PDAC organoid biobank was generated from human primary tumor samples containing 22 lines. Immunofluorescence staining was established and done for 10 organoid lines for cystic fibrosis transmembrane conductance regulator (CFTR) and KRT81. Quantitative real-time PCR (qPCR) was performed for CFTR and HNF1A. A chemotherapeutic drug response analysis was done using gemcitabine, 5-FU, oxaliplatin, and irinotecan.ResultsA biobank of patient-derived PDAC organoids was established. The efficiency was 71% (22/31) with 68% for surgical resections and 83% for fine needle aspirations. Organoids could be categorized into the established quasimesenchymal, exocrine-like, and classical subtypes based on KRT81 and CFTR immunoreactivity. CFTR protein expression was confirmed on the transcript level. CFTR and HNF1A transcript expression levels positively correlated (n = 10; r = 0.927; p = 0.001). PDAC subtypes of the primary tumors and the corresponding organoid lines were identical for most of the cases analyzed (6/7). Treatment with chemotherapeutic drugs revealed tendencies but no significant differences regarding drug responses.ConclusionsHuman PDAC organoids can be classified into known subtypes based on KRT81 and CFTR immunoreactivity. CFTR and HNF1A mRNA levels correlated well. Furthermore, subtype-specific immunoreactivity matched well between PDAC organoids and the respective primary tumor tissue. Subtyping of human PDACs using CFTR might constitute an alternative to HNF1A and should be further investigated.

Dataset Information

Modeling pancreatic cancer with organoids.

Publications

Modeling pancreatic cancer with organoids.

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