bioRxivCancer BiologyPreprint
Modeling pancreatic cancer tumor stroma co-evolution in an in ovo model
Raphela A. RanjaniD, Aashreya RavichandraiD, Philipp PutzeiD, Anna ChernyshevaiD, Johannes WirthiD, Daniele LucarelliiD, Wing Yin Ng, Oleksandra Pavlovska, Khanyile Sibusisiwe Sibanda, Erik Leipe, Felix SchicktanziD, Stefanie BärtheliD, Anna Melissa SchlitteriD, Rupert ÖllingeriD, Marc RingelhaniD, H. Carlo MaureriD, Carolin MogleriD, Roman NawrothiD, Roland Michael SchmidiD, Günter SchneideriD, Roland RadiD, Katja SteigeriD, Dieter SauriD, Maximilian ReichertiD
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Abstract
Pancreatic ductal adenocarcinoma (PDAC) is characterized by a dense, desmoplastic microenvironment that drives disease progression, yet conventional models fail to capture this complex tumor-stroma coevolution. Here, we utilize the chick chorioallantoic membrane (CAM) platform to investigate tumor-stroma interactions using murine PDAC cell lines and patient-derived organoids (PDOs). Integrating single-cell RNA sequencing and spatial transcriptomics, we show that the CAM microenvironment supports the emergence of complex tumor ecosystems while preserving patient-specific characteristics. Within five days, in ovo tumors faithfully recapitulated the structural and molecular features of parental tumors. Histological analysis revealed the rapid recruitment and spatial organization of heterogeneous host cancer-associated fibroblast (CAF) populations, showcasing distinct myofibroblastic and inflammatory stromal states. Crucially, the model preserved intrinsic tumor heterogeneity and permitted functional interrogation of subtype-specific extracellular matrix remodeling and metastatic dissemination. Together, our findings demonstrate that the CAM provides a highly permissive niche for tumor-stroma coevolution. As a rapid, scalable, and biologically relevant platform, this in ovo model offers a powerful approach for studying stromal composition, metastatic progression, and patient-specific tumor biology in pancreatic cancer.
- organism: chicken / avian
- assay: scRNA-seq
- assay: spatial transcriptomics
- research focus: cell type annotation
- research focus: spatial domain detection
- approach: experimental assay
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