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Living human lung slices for ex vivo modelling of lung cancer
Siavash Mansouri, Annika Karger, Clemens Ruppert, Marc A. Schneider, Andreas Weigert, Rajender Nandigama, Blerina Aliraj, Lisa Strotmann, Anoop V. Cherian, Diethard Pruefer, Peter Dorfmuller, Ludger Fink, Ibrahim Alkoudmani, Stefan Gattenlöhner, Bastian Eul, Andre Althoff, Peter Kleine, Hauke Winter, Andreas Guenther, Hossein-Ardeschir Ghofrani, Soni S. Pullamsetti, Friedrich Grimminger, Werner Seeger, Rajkumar Savai
Siavash Mansouri, Annika Karger, Clemens Ruppert, Marc A. Schneider, Andreas Weigert, Rajender Nandigama, Blerina Aliraj, Lisa Strotmann, Anoop V. Cherian, Diethard Pruefer, Peter Dorfmuller, Ludger Fink, Ibrahim Alkoudmani, Stefan Gattenlöhner, Bastian Eul, Andre Althoff, Peter Kleine, Hauke Winter, Andreas Guenther, Hossein-Ardeschir Ghofrani, Soni S. Pullamsetti, Friedrich Grimminger, Werner Seeger, Rajkumar Savai
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Research Article Immunology Oncology

Living human lung slices for ex vivo modelling of lung cancer

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Abstract

The tumor microenvironment (TME) markedly affects cancer progression, yet traditional animal models do not fully recapitulate the situation in humans. To address this, we developed tumor-derived precision lung slices (TD-PCLS), an ex vivo platform for studying the lung TME and evaluating therapies. TD-PCLS, viable for 8–10 days, preserve the heterogeneity and metabolic activity of primary tumors, as confirmed by seahorse analysis. Using multispectral FACS and phenocycler multiplex imaging, we spatially profiled TME components and cancer cell functionality. Additionally, TD-PCLS revealed patient-specific responses to chemo- and immunotherapies. To complement TD-PCLS, we established tumor-cell–seeded PCLS (TCS-PCLS) by introducing tumor and immune cells into healthy lung slices. This model highlighted macrophage-tumor interactions as critical for tumor cell proliferation, migration, and immune modulation. Together, these platforms provide a robust tool for lung cancer research, enabling precision medicine and advancing therapeutic discovery.

Authors

Siavash Mansouri, Annika Karger, Clemens Ruppert, Marc A. Schneider, Andreas Weigert, Rajender Nandigama, Blerina Aliraj, Lisa Strotmann, Anoop V. Cherian, Diethard Pruefer, Peter Dorfmuller, Ludger Fink, Ibrahim Alkoudmani, Stefan Gattenlöhner, Bastian Eul, Andre Althoff, Peter Kleine, Hauke Winter, Andreas Guenther, Hossein-Ardeschir Ghofrani, Soni S. Pullamsetti, Friedrich Grimminger, Werner Seeger, Rajkumar Savai

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Figure 4

Multiplex IF and multispectral imaging show distribution of structural, functional, and immune cell phenotypes in TD-PCLS.

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Multiplex IF and multispectral imaging show distribution of structural, ...
(A) Workflow of multiplex IF staining in TD-PCLS with Akoya Bioscience technology. (B) Representative images of different cell phenotypes including tumor cells (Pan-CK), endothelial cells (CD31), smooth muscle cells (SMA), proliferating tumor cells (Pan-CK, PCNA and Ki67), apoptotic tumor cells (Pan-CK and PARP), granulocytes (CD11b), macrophages (CD68), CD4+ T cells (CD45, CD3e, and CD4), CD8+ T cells (CD45, CD3e, CD4, and CD8), Tregs (CD45, CD3e, CD4, and FoxP3), B cells (CD45 and CD20), PD1 (CD45 and PD1) cells, and PD-L1 cells (CD45 and PD-L1) in TD-PCLS. Scale bars: 2.3 mm for the whole tumor image (left) and 100 μm (right, individual cell type). (C and D) Heatmap shows a curated clustering dendrogram with cell phenotypes and pie chart showing the abundance of each cell phenotype in TD-PCLS tissue.

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ISSN 2379-3708

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