Journal Article DKFZ-2025-01253

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A 3D patternoid model for the reproducible characterization of invasive phenotypes and drug sensitivity in PDAC.

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2025
RSC Cambridge

Lab on a chip 25(14), 3411-3422 () [10.1039/D5LC00203F]
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Abstract: Pancreatic ductal adenocarcinoma (PDAC) is a highly invasive and heterogeneous malignancy, posing challenges for reproducible modeling and functional phenotypic analysis. To address these limitations, we developed a standardized 3D patternoid platform using collagen-based microcavity arrays to enhance organoid formation consistency and quantify subtype-specific invasion mechanisms. We utilized murine primary PDAC cells stratified by epithelial-mesenchymal transition (EMT) into three subtypes: epithelial (E-9591), hybrid EMT (Mlow-8028), and mesenchymal (M-16992). The platform's sensitivity was verified by a strong correlation between EMT scores and invasive phenotypes, as well as responses to physiological concentrations of the protease inhibitor batimastat. Key invasion parameters-including invasive area, maximum invasion distance, and branching complexity-were measured under both genomic and drug-induced conditions. The platform demonstrated high inter-organoid reproducibility, with precise control over initial cell numbers ensuring batch-to-batch comparability. Invasion dynamics analysis revealed that epithelial cells (E-9591) primarily relied on spatial constraints within the microcavity to invade. Batimastat drug sensitivity assays further distinguished invasion dependencies of the mesenchymal subtypes, confirming that M-16992 patternoids exhibit a stronger sensitivity towards MMP inhibition compared to Mlow-8028 patternoids. Concurrentlty, both subtypes experienced a shift towards epithelial-like spatial constraint triggered invasion morphology, reflecting the plasticity of PDAC invasiveness. This scalable and adaptable 3D patternoid platform enables high-throughput analysis of invasive behaviors and therapeutic responses, offering significant potential for preclinical cancer research and personalized medicine.

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Note: 2025 Jul 8;25(14):3411-3422

Contributing Institute(s):
  1. DKTK Koordinierungsstelle München (MU01)
Research Program(s):
  1. 899 - ohne Topic (POF4-899) (POF4-899)

Appears in the scientific report 2025
Database coverage:
Medline ; BIOSIS Previews ; Biological Abstracts ; Clarivate Analytics Master Journal List ; Current Contents - Life Sciences ; Current Contents - Physical, Chemical and Earth Sciences ; Ebsco Academic Search ; Essential Science Indicators ; IF >= 5 ; JCR ; National-Konsortium ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
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 Record created 2025-06-20, last modified 2025-08-29


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