Bioengineered Pancreatic Cancer Immunosuppressive Microenvironment Models for Screening Immunotherapies

Pancreatic cancer is notably resistant to treatment, primarily due to its dense desmoplastic stroma and immunosuppressive microenvironment. Accurately modeling this complex landscape and its immunosuppressive hallmarks in vitro is highly valuable for screening immunotherapeutic strategies. However, replicating these intricate features remains a significant challenge. Herein, we bioengineered miniaturized tumor-stroma platforms that combine cancer and stromal cells, as well as extracellular matrix mimetic biomaterials as a strategy to emulate the native tumor composition and key tumor immunosuppressive signatures. Bioengineered stratified tumor-stroma pancreatic cancer models, so termed cancer-on-a-bead platforms are generated in superhydrophobic surfaces and co-cultured with T cells, dendritic cells, as well as M0 macrophages, as a strategy to recapitulate tumor-immune interplay. The generated models revealed suppression of antigen presentation, M2 macrophage polarization, and T cell exhaustion, representing key features of this neoplasia. The screening of antibody mediated immunotherapy in the 3D tumor platforms, using clinically approved anti PD-1 antibody as a model therapeutic, partially restored T cell function. Overall, our findings demonstrate compartmentalized tumor-stroma models potential for being used to screen candidate immunotherapeutics for pancreatic cancer in a preclinical setting.

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Publication Details

Journal
Advanced Healthcare Materials
Published
2025-11-28
DOI
https://doi.org/10.1002/adhm.202502758
Primary Topic
Cancer Cells and Metastasis
Type
article
Field-Weighted Citation Impact
0.00

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article

Bioengineered Pancreatic Cancer Immunosuppressive Microenvironment Models for Screening Immunotherapies

Bruno Miguel Neves, Maria V. Monteiro, Vítor M. Gaspar, João F. Mano et al.
Advanced Healthcare Materials
Cancer Cells and Metastasis
article

Bioengineered Pancreatic Cancer Immunosuppressive Microenvironment Models for Screening Immunotherapies

Bruno Miguel Neves, Maria V. Monteiro, Vítor M. Gaspar, João F. Mano, Margarida Henriques‐Pereira
article en

Abstract

Pancreatic cancer is notably resistant to treatment, primarily due to its dense desmoplastic stroma and immunosuppressive microenvironment. Accurately modeling this complex landscape and its immunosuppressive hallmarks in vitro is highly valuable for screening immunotherapeutic strategies. However, replicating these intricate features remains a significant challenge. Herein, we bioengineered miniaturized tumor-stroma platforms that combine cancer and stromal cells, as well as extracellular matrix mimetic biomaterials as a strategy to emulate the native tumor composition and key tumor immunosuppressive signatures. Bioengineered stratified tumor-stroma pancreatic cancer models, so termed cancer-on-a-bead platforms are generated in superhydrophobic surfaces and co-cultured with T cells, dendritic cells, as well as M0 macrophages, as a strategy to recapitulate tumor-immune interplay. The generated models revealed suppression of antigen presentation, M2 macrophage polarization, and T cell exhaustion, representing key features of this neoplasia. The screening of antibody mediated immunotherapy in the 3D tumor platforms, using clinically approved anti PD-1 antibody as a model therapeutic, partially restored T cell function. Overall, our findings demonstrate compartmentalized tumor-stroma models potential for being used to screen candidate immunotherapeutics for pancreatic cancer in a preclinical setting.

Advanced Healthcare MaterialsVol. 15(8)
University of Aveiro (PT), Altice Portugal (Portugal) (PT)
Ministerio de Economía y Competitividad, Centro de Investigação em Materiais Cerâmicos e Compósitos, Fundação para a Ciência e a Tecnologia
Openalex Percentile: Top 48%
Cancer Cells and Metastasis
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Bioengineered Pancreatic Cancer Immunosuppressive Microenvironment Models for Screening Immunotherapies — Bruno Miguel Neves, Maria V. Monteiro, et al. · Advanced Healthcare Materials (2025) | TGRS Research Map | TGRS